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capl
R packageThe Canadian Assessment of Physical Literacy (CAPL) is the first comprehensive protocol that can accurately and reliably assess a broad spectrum of skills and abilities that contribute to and characterize the physical literacy level of a participating child.
Physical literacy moves beyond just fitness, motor skill or motivation in isolation. The CAPL is unique in that it can assess the multiple aspects of physical literacy: physical competence, daily behaviour, motivation and confidence, and knowledge and understanding.
The domains of physical literacy are summarized in figure 1 of the CAPL-2 manual on page 6:
The Healthy Active Living and Obesity Research Group (HALO) has been responsible for the systematic development of the CAPL since 2008. HALO’s test development efforts have been informed by the assessment of more than 10,000 children and with input from well over 100 researchers and practitioners within related fields of study.
The capl
package contains tools enabling users to compute and visualize CAPL-2 (Canadian Assessment of Physical Literacy, Second Edition) scores and interpretations from raw data, all within the R environment without having to use the CAPL-2 website.
Users can download and install the most recent version of the capl
package directly from GitHub (www.github.com/barnzilla/capl) using the devtools
R package.
::install_github("barnzilla/capl", upgrade = "never", build_vignettes = TRUE, force = TRUE)
devtoolslibrary(capl)
Once the capl
package is loaded, any available tutorials for the package, such as this vignette, can be accessed by calling the browseVignettes()
function.
browseVignettes("capl")
Users must first import their raw data before using the capl
package to compute CAPL-2 scores and interpretations. The import_capl_data()
function enables users to import data from an Excel workbook into the R global environment.
<- import_capl_data(
data file_path = "c:/path/to/raw-data.xlsx",
sheet_name = "Sheet1"
)
The capl
package requires 60 variables in order to compute CAPL-2 scores and interpretations. Users can use the get_missing_capl_variables()
function to retrieve a list of the required variables. The required variables are outlined in the Details section of the documentation.
?get_missing_capl_variables
The capl
package is looking for 60 variables by the following names:
age
gender
pacer_lap_distance
pacer_laps
plank_time
camsa_skill_score1
camsa_time1
camsa_skill_score2
camsa_time2
steps1
time_on1
time_off1
non_wear_time1
steps2
time_on2
time_off2
non_wear_time2
steps3
time_on3
time_off3
non_wear_time3
steps4
time_on4
time_off4
non_wear_time4
steps5
time_on5
time_off5
non_wear_time5
steps6
time_on6
time_off6
non_wear_time6
steps7
time_on7
time_off7
non_wear_time7
self_report_pa
csappa1
csappa2
csappa3
csappa4
csappa5
csappa6
why_active1
why_active2
why_active3
feelings_about_pa1
feelings_about_pa2
feelings_about_pa3
pa_guideline
crf_means
ms_means
sports_skill
pa_is
pa_is_also
improve
increase
when_cooling_down
heart_rate
The capl
package comes with a demo (fake) dataset of raw data, capl_demo_data
, which contains 500 rows of participant data on the 60 variables that are required by the capl
package. Users can load the demo dataset and start exploring.
data("capl_demo_data")
The base R str()
function allows users to get a sense of how the CAPL-2 raw data should be structured and named for downstream use in the capl
package.
str(capl_demo_data)
#> 'data.frame': 500 obs. of 60 variables:
#> $ age : int 8 9 9 8 12 10 12 10 12 9 ...
#> $ gender : chr "Male" "Female" "Male" "f" ...
#> $ pacer_lap_distance: num 15 20 20 15 20 15 15 15 15 NA ...
#> $ pacer_laps : int 23 31 169 50 63 15 32 143 43 182 ...
#> $ plank_time : int 274 282 9 228 252 110 21 185 6 41 ...
#> $ camsa_skill_score1: int 14 5 6 13 2 9 4 11 5 11 ...
#> $ camsa_time1 : int 34 27 13 35 21 NA NA 16 20 14 ...
#> $ camsa_skill_score2: int 14 5 13 11 14 14 0 4 0 4 ...
#> $ camsa_time2 : int 35 23 14 35 23 23 33 30 29 18 ...
#> $ steps1 : int 30627 27788 8457 8769 14169 9610 29459 17112 30008 18270 ...
#> $ time_on1 : chr "5:13am" "6:13" "6:07" "6:13" ...
#> $ time_off1 : chr "22:00" NA "21:00" "22:00" ...
#> $ non_wear_time1 : int 25 31 33 25 83 67 20 10 49 64 ...
#> $ steps2 : int 14905 24750 30111 21077 15786 23828 24735 2621 20690 19652 ...
#> $ time_on2 : chr "06:00" "5:13am" "6:13" "6:13" ...
#> $ time_off2 : chr "21:00" "23:00" "11:13pm" "23:00" ...
#> $ non_wear_time2 : int 20 82 4 55 1 53 65 47 82 79 ...
#> $ steps3 : int 21972 15827 14130 13132 18022 12817 14065 26352 27090 10226 ...
#> $ time_on3 : chr "07:00" "05:00" "07:48am" NA ...
#> $ time_off3 : chr "11:57pm" NA "08:30pm" NA ...
#> $ non_wear_time3 : int 6 79 23 65 34 15 72 76 60 40 ...
#> $ steps4 : int 28084 27369 14315 9963 6993 10092 10774 3208 2878 9055 ...
#> $ time_on4 : chr "05:00" "6:13" "6:07" NA ...
#> $ time_off4 : chr "08:30pm" "10:57 pm" "22:00" "11:13pm" ...
#> $ non_wear_time4 : int 32 38 74 20 75 22 84 59 42 22 ...
#> $ steps5 : int 14858 21112 16880 11707 20917 30200 20220 17995 18712 25336 ...
#> $ time_on5 : chr "6:07" "6:13" "06:00" "05:00" ...
#> $ time_off5 : chr "11:57pm" "23:00" "8:17pm" "8:17pm" ...
#> $ non_wear_time5 : int 61 64 73 23 82 42 66 38 55 18 ...
#> $ steps6 : int 17705 5564 16459 12235 27766 26099 15763 7202 2746 3895 ...
#> $ time_on6 : chr "06:00" "06:00" NA "6:07" ...
#> $ time_off6 : chr "21:00" NA "10:57 pm" "08:30pm" ...
#> $ non_wear_time6 : int 33 24 89 8 27 56 66 21 14 7 ...
#> $ steps7 : int 11067 13540 12106 18795 15039 9082 3733 4029 20791 28499 ...
#> $ time_on7 : chr "6:07" "6:07" "8:00am" "06:00" ...
#> $ time_off7 : chr "08:30pm" "11:13pm" "8:17pm" "10:57 pm" ...
#> $ non_wear_time7 : int 8 72 4 38 9 32 49 36 34 43 ...
#> $ self_report_pa : int NA 2 2 4 3 5 NA 7 6 7 ...
#> $ csappa1 : int 1 2 4 2 2 2 3 2 2 3 ...
#> $ csappa2 : int 3 2 1 1 1 1 4 1 4 3 ...
#> $ csappa3 : int 2 3 2 1 NA 1 3 3 4 4 ...
#> $ csappa4 : int 4 1 1 3 4 4 4 4 4 1 ...
#> $ csappa5 : int 4 2 3 2 1 2 2 2 4 1 ...
#> $ csappa6 : int 3 4 1 4 2 2 2 3 4 4 ...
#> $ why_active1 : int 4 3 5 3 1 5 4 1 1 2 ...
#> $ why_active2 : int 5 3 4 2 5 3 5 NA 5 NA ...
#> $ why_active3 : int 3 3 1 4 2 3 4 4 5 3 ...
#> $ feelings_about_pa1: int 4 3 2 2 1 1 3 4 4 2 ...
#> $ feelings_about_pa2: int 5 2 2 3 4 2 4 4 2 5 ...
#> $ feelings_about_pa3: int 2 5 2 5 3 2 2 1 3 5 ...
#> $ pa_guideline : int 2 3 4 1 2 4 3 2 2 2 ...
#> $ crf_means : int 1 4 4 2 2 1 2 1 4 1 ...
#> $ ms_means : int 3 2 1 2 3 1 1 2 4 2 ...
#> $ sports_skill : int 2 4 4 1 3 1 3 1 4 3 ...
#> $ pa_is : int 10 1 1 1 1 1 2 1 3 1 ...
#> $ pa_is_also : int 5 1 4 4 1 7 2 7 2 8 ...
#> $ improve : int 3 3 9 3 9 9 3 3 3 6 ...
#> $ increase : int 2 8 3 8 8 1 3 3 8 8 ...
#> $ when_cooling_down : int 4 2 4 2 2 2 2 5 2 2 ...
#> $ heart_rate : int 5 6 4 4 4 9 4 8 7 4 ...
The 60 required variables can also be quickly accessed by calling the base R colnames()
function.
colnames(capl_demo_data)
#> [1] "age" "gender" "pacer_lap_distance"
#> [4] "pacer_laps" "plank_time" "camsa_skill_score1"
#> [7] "camsa_time1" "camsa_skill_score2" "camsa_time2"
#> [10] "steps1" "time_on1" "time_off1"
#> [13] "non_wear_time1" "steps2" "time_on2"
#> [16] "time_off2" "non_wear_time2" "steps3"
#> [19] "time_on3" "time_off3" "non_wear_time3"
#> [22] "steps4" "time_on4" "time_off4"
#> [25] "non_wear_time4" "steps5" "time_on5"
#> [28] "time_off5" "non_wear_time5" "steps6"
#> [31] "time_on6" "time_off6" "non_wear_time6"
#> [34] "steps7" "time_on7" "time_off7"
#> [37] "non_wear_time7" "self_report_pa" "csappa1"
#> [40] "csappa2" "csappa3" "csappa4"
#> [43] "csappa5" "csappa6" "why_active1"
#> [46] "why_active2" "why_active3" "feelings_about_pa1"
#> [49] "feelings_about_pa2" "feelings_about_pa3" "pa_guideline"
#> [52] "crf_means" "ms_means" "sports_skill"
#> [55] "pa_is" "pa_is_also" "improve"
#> [58] "increase" "when_cooling_down" "heart_rate"
The capl
package is also equipped with the get_capl_demo_data()
function. This function allows users to randomly generate demo raw data and takes parameter n
(set to 500 by default). This parameter is used to specify how many rows of demo raw data to generate and must, therefore, be an integer greater than zero. Users, for example, can randomly generate demo raw data for 10,000 participants by executing a single line of code:
<- get_capl_demo_data(n = 10000) capl_demo_data2
The base R str()
function can be called to verify how many rows and columns of data were created.
str(capl_demo_data2)
#> 'data.frame': 10000 obs. of 60 variables:
#> $ age : int 12 11 11 11 7 11 10 10 12 10 ...
#> $ gender : chr "f" "Girl" "Boy" "Female" ...
#> $ pacer_lap_distance: num 20 20 15 15 20 15 NA 15 20 15 ...
#> $ pacer_laps : int 194 194 6 136 108 141 175 55 115 33 ...
#> $ plank_time : int 15 24 97 77 243 261 285 119 35 232 ...
#> $ camsa_skill_score1: int 9 9 5 7 9 8 4 4 14 6 ...
#> $ camsa_time1 : int 30 18 11 22 20 16 27 17 12 26 ...
#> $ camsa_skill_score2: int 5 NA 9 6 7 13 9 3 10 8 ...
#> $ camsa_time2 : int 26 20 27 30 15 31 18 26 24 12 ...
#> $ steps1 : int 8956 6296 28534 13681 7921 27379 3682 11291 14083 6010 ...
#> $ time_on1 : chr "07:00" NA "6:07" "6:13" ...
#> $ time_off1 : chr "11:57pm" "21:00" "22:00" "11:57pm" ...
#> $ non_wear_time1 : int 64 25 47 21 66 47 1 90 36 79 ...
#> $ steps2 : int 13288 24332 8247 29195 18082 26848 13019 28029 2290 8498 ...
#> $ time_on2 : chr "06:00" "5:13am" "05:00" "07:48am" ...
#> $ time_off2 : chr "22:00" "21:00" "08:30pm" "11:13pm" ...
#> $ non_wear_time2 : int 82 25 41 63 28 14 48 65 4 54 ...
#> $ steps3 : int 30337 16486 19251 24376 6181 2794 22925 7834 3685 14526 ...
#> $ time_on3 : chr "6:07" "06:00" "07:48am" "8:00am" ...
#> $ time_off3 : chr "8:17pm" "22:00" "08:30pm" "10:57 pm" ...
#> $ non_wear_time3 : int 50 0 42 77 22 44 28 31 13 20 ...
#> $ steps4 : int 12491 28605 18313 2136 19644 26878 7157 2182 21941 9769 ...
#> $ time_on4 : chr "5:13am" "8:00am" "5:13am" "05:00" ...
#> $ time_off4 : chr "22:00" NA "10:57 pm" "23:00" ...
#> $ non_wear_time4 : int 72 71 19 52 81 40 82 20 36 3 ...
#> $ steps5 : int 9149 1599 17696 16316 14286 30330 20326 24706 11135 17383 ...
#> $ time_on5 : chr "06:00" "6:07" "8:00am" "5:13am" ...
#> $ time_off5 : chr "21:00" "11:57pm" "10:57 pm" "10:57 pm" ...
#> $ non_wear_time5 : int 6 29 7 71 76 79 82 4 1 18 ...
#> $ steps6 : int 15240 22719 14439 20137 22746 22500 7315 8295 17142 12305 ...
#> $ time_on6 : chr "07:48am" "5:13am" "07:00" "05:00" ...
#> $ time_off6 : chr "11:13pm" "21:00" NA NA ...
#> $ non_wear_time6 : int 18 48 60 66 15 41 9 NA 22 8 ...
#> $ steps7 : int 10810 11607 28089 6269 29530 13824 23614 25367 25992 25336 ...
#> $ time_on7 : chr "6:07" "8:00am" "07:48am" "8:00am" ...
#> $ time_off7 : chr "8:17pm" "22:00" "23:00" "11:13pm" ...
#> $ non_wear_time7 : int 13 39 65 90 12 1 61 55 58 68 ...
#> $ self_report_pa : int 2 6 5 NA 6 6 2 1 2 1 ...
#> $ csappa1 : int 2 4 2 2 4 4 3 4 2 2 ...
#> $ csappa2 : int 3 3 2 1 4 3 2 4 2 4 ...
#> $ csappa3 : int 1 4 4 2 2 2 4 2 4 3 ...
#> $ csappa4 : int 3 3 1 4 3 1 3 3 3 4 ...
#> $ csappa5 : int 1 1 2 2 3 4 1 1 3 1 ...
#> $ csappa6 : int 2 1 3 1 3 2 2 2 4 1 ...
#> $ why_active1 : int 3 2 1 5 5 1 2 3 3 4 ...
#> $ why_active2 : int 5 2 2 3 1 2 1 1 5 1 ...
#> $ why_active3 : int 3 1 1 4 NA NA 4 NA 3 1 ...
#> $ feelings_about_pa1: int 4 1 1 2 4 3 2 5 2 3 ...
#> $ feelings_about_pa2: int 2 2 3 5 3 3 4 1 1 4 ...
#> $ feelings_about_pa3: int 1 3 1 NA 4 3 3 5 4 2 ...
#> $ pa_guideline : int 1 1 4 4 1 4 1 3 1 1 ...
#> $ crf_means : int 3 1 3 1 3 2 1 4 4 3 ...
#> $ ms_means : int 1 2 4 1 2 3 3 3 4 1 ...
#> $ sports_skill : int 1 1 3 4 3 2 3 4 1 2 ...
#> $ pa_is : int 2 7 3 7 8 3 1 4 1 5 ...
#> $ pa_is_also : int 5 7 2 7 7 2 9 10 10 5 ...
#> $ improve : int 3 3 1 5 3 2 9 2 3 1 ...
#> $ increase : int 2 8 8 1 4 2 8 4 8 1 ...
#> $ when_cooling_down : int 2 4 2 3 2 2 2 2 10 10 ...
#> $ heart_rate : int 4 3 8 7 4 10 9 4 4 9 ...
If users prefer to examine the CAPL demo raw data in a workbook, the export_capl_data()
function allows them to export data objects to Excel.
export_capl_data(capl_demo_data2, "c:/path/to/store/capl_demo_data2.xlsx")
If users have imported their own raw data and plan to use the main function, get_capl()
, in the capl
package to compute CAPL-2 scores and interpretations, they must ensure their variables names match the names of the 60 required variables. Users can rename their variables by calling the rename_variable()
function. This function takes three parameters: x
, search
, and replace
. The x
parameter must be the raw data object, the search
parameter must be a character vector representing the variable name(s) to be renamed, and the replace
parameter must be a character vector representing the new names for the variables specificed in the search
parameter. Below we show how to rename variables using a fake dataset called raw_data
.
# Create fake data
<- data.frame(
raw_data age_years = sample(8:12, 100, replace = TRUE),
genders = sample(c("girl", "boy"), 100, replace = TRUE, prob = c(0.51, 0.49)),
step_counts1 = sample(1000:30000, 100, replace = TRUE),
step_counts2 = sample(1000:30000, 100, replace = TRUE),
step_counts3 = sample(1000:30000, 100, replace = TRUE),
step_counts4 = sample(1000:30000, 100, replace = TRUE),
step_counts5 = sample(1000:30000, 100, replace = TRUE),
step_counts6 = sample(1000:30000, 100, replace = TRUE),
step_counts7 = sample(1000:30000, 100, replace = TRUE)
)
# Examine the structure of this data
str(raw_data)
#> 'data.frame': 100 obs. of 9 variables:
#> $ age_years : int 10 11 10 12 11 10 9 11 9 10 ...
#> $ genders : chr "boy" "girl" "girl" "girl" ...
#> $ step_counts1: int 11270 28657 15265 20530 4297 27950 29183 7587 26347 23758 ...
#> $ step_counts2: int 21344 1555 26582 28398 19696 25712 22505 14109 11511 28814 ...
#> $ step_counts3: int 19846 27190 28220 11657 13947 23189 6460 4110 16202 27480 ...
#> $ step_counts4: int 28702 18124 6937 26191 22156 19665 5524 7143 23614 21583 ...
#> $ step_counts5: int 23579 8113 4736 24895 8246 21498 18466 6378 28749 11644 ...
#> $ step_counts6: int 22961 3050 10305 15144 5867 21254 5790 28853 26437 29569 ...
#> $ step_counts7: int 9582 21427 15006 11178 3369 9065 17739 10447 13078 18389 ...
# Rename the variables
<- rename_variable(
raw_data x = raw_data,
search = c(
"age_years",
"genders",
"step_counts1",
"step_counts2",
"step_counts3",
"step_counts4",
"step_counts5",
"step_counts6",
"step_counts7"
),replace = c(
"age",
"gender",
"steps1",
"steps2",
"steps3",
"steps4",
"steps5",
"steps6",
"steps7"
)
)
# Examine the structure of this data
str(raw_data)
#> 'data.frame': 100 obs. of 9 variables:
#> $ age : int 10 11 10 12 11 10 9 11 9 10 ...
#> $ gender: chr "boy" "girl" "girl" "girl" ...
#> $ steps1: int 11270 28657 15265 20530 4297 27950 29183 7587 26347 23758 ...
#> $ steps2: int 21344 1555 26582 28398 19696 25712 22505 14109 11511 28814 ...
#> $ steps3: int 19846 27190 28220 11657 13947 23189 6460 4110 16202 27480 ...
#> $ steps4: int 28702 18124 6937 26191 22156 19665 5524 7143 23614 21583 ...
#> $ steps5: int 23579 8113 4736 24895 8246 21498 18466 6378 28749 11644 ...
#> $ steps6: int 22961 3050 10305 15144 5867 21254 5790 28853 26437 29569 ...
#> $ steps7: int 9582 21427 15006 11178 3369 9065 17739 10447 13078 18389 ...
One of the coding philosophies behind the capl
package is to create a “quiet” user experience by suppressing “noisy” error and warning messages via validation. That is, the capl
package returns missing or invalid values as NA values instead of throwing “noisy” errors that halt code execution. If any variable is missing, for example, the get_capl()
function will continue to execute without throwing error or warning messages. The get_missing_capl_variables()
function will create required variables that are missing and populate these variables with NA values. In order to implement the validation philosophy, every capl
function enlists helper functions to validate the data. If a given value is not of the correct class or out of range, an NA will be returned.
capl
packageThere are eight functions included in the capl
package (displayed in alphabetical order) to help provide a “quiet” user experience:
validate_age()
validate_character()
validate_domain_score()
validate_gender()
validate_integer()
validate_number()
validate_scale()
validate_steps()
Users can learn more about these functions by accessing the documentation within the R environment.
?validate_age
?validate_character
?validate_domain_score
?validate_gender
?validate_integer
?validate_number
?validate_scale ?validate_steps
The CAPL-2 is currently validated with 8- to 12-year-old children. However, when a function requires the age
variable to execute a computation (e.g., get_capl_interpretation()
), the age
variable is validated via the validate_age()
function.
<- validate_age(c(7, 8, 9, 10, 11, 12, 13, "", NA, "12", 8.5)) validated_age
Notice the NA values in the results.
validated_age#> [1] NA 8 9 10 11 12 NA NA NA 12 8
The first element is NA because the original value is 7. The next five elements are identical to their original values because they are integers between 8 and 12. The seventh element is NA because the original value is 13. The next two elements are NA because the original values ("" and NA) are obviously invalid. The last element is 8, but notice that the original value is a decimal. Because 8.5 is between 8 and 12, it is considered valid but the floor of the value is returned since CAPL performs age-specific computations based on integer age.
The CAPL-2 is currently validated for children who identify as boys or girls. When a function requires the gender
variable to execute a computation (e.g., get_capl_interpretation()
), the gender
variable is validated via the validate_gender()
function.
<- validate_gender(c("Girl", "GIRL", "g", "G", "Female", "f", "F", "", NA, 1))
validated_gender
validated_gender#> [1] "girl" "girl" "girl" "girl" "girl" "girl" "girl" NA NA "girl"
Notice the results again. This function accepts a number of case-insensitive options (e.g., “Girl”, “G”, “Female”, “F”, 1) for the female gender and returns a standardized “girl” value. The only two elements that are returned as NA have original values that are obviously invalid ("" and NA). The validate_gender()
function behaves in a similar fashion for the male gender; it also accepts a number of case-insensitive options and returns a standardized “boy” value.
<- validate_gender(c("Boy", "BOY", "b", "B", "Male", "m", "M", "", NA, 0))
validated_gender
validated_gender#> [1] "boy" "boy" "boy" "boy" "boy" "boy" "boy" NA NA "boy"
The CAPL-2 scoring system is nicely summarized in figure 2 of the CAPL-2 manual on page 7:
The main function in the capl
package is the get_capl()
function. This function takes two parameters, raw_data
and sort
. It computes the CAPL-2 scores in figure 2 above and their associated age- and gender-specific interpretations, row by row, by calling the other functions in the capl
package. The raw_data
parameter must be structured as a data frame and contain the raw data. The sort
parameter is set to “asis” by default. This means the 40 new variables will be added to the data frame as they are computed. If sort
is set to “abc”, all variables will be sorted alphabetically whereas if sort
is set to “zyx”, all variables will be sorted in reverse alphabetical order. Once the raw data has been imported, computing the CAPL-2 scores and interpretations is as simple as executing one line of code:
<- get_capl(raw_data = capl_demo_data, sort = "asis") capl_results
The addition of the 40 variables related to/including the CAPL-2 scores and interpretations can be confirmed by calling the base R str()
function. As illustrated on the first line of the output, there are now 500 rows of participant data on 100 variables.
str(capl_results, list.len = nrow(capl_results))
#> 'data.frame': 500 obs. of 100 variables:
#> $ age : int 8 9 9 8 12 10 12 10 12 9 ...
#> $ gender : chr "Male" "Female" "Male" "f" ...
#> $ pacer_lap_distance : num 15 20 20 15 20 15 15 15 15 NA ...
#> $ pacer_laps : int 23 31 169 50 63 15 32 143 43 182 ...
#> $ plank_time : int 274 282 9 228 252 110 21 185 6 41 ...
#> $ camsa_skill_score1 : int 14 5 6 13 2 9 4 11 5 11 ...
#> $ camsa_time1 : int 34 27 13 35 21 NA NA 16 20 14 ...
#> $ camsa_skill_score2 : int 14 5 13 11 14 14 0 4 0 4 ...
#> $ camsa_time2 : int 35 23 14 35 23 23 33 30 29 18 ...
#> $ steps1 : int 30627 27788 8457 8769 14169 9610 29459 17112 30008 18270 ...
#> $ time_on1 : chr "5:13am" "6:13" "6:07" "6:13" ...
#> $ time_off1 : chr "22:00" NA "21:00" "22:00" ...
#> $ non_wear_time1 : int 25 31 33 25 83 67 20 10 49 64 ...
#> $ steps2 : int 14905 24750 30111 21077 15786 23828 24735 2621 20690 19652 ...
#> $ time_on2 : chr "06:00" "5:13am" "6:13" "6:13" ...
#> $ time_off2 : chr "21:00" "23:00" "11:13pm" "23:00" ...
#> $ non_wear_time2 : int 20 82 4 55 1 53 65 47 82 79 ...
#> $ steps3 : int 21972 15827 14130 13132 18022 12817 14065 26352 27090 10226 ...
#> $ time_on3 : chr "07:00" "05:00" "07:48am" NA ...
#> $ time_off3 : chr "11:57pm" NA "08:30pm" NA ...
#> $ non_wear_time3 : int 6 79 23 65 34 15 72 76 60 40 ...
#> $ steps4 : int 28084 27369 14315 9963 6993 10092 10774 3208 2878 9055 ...
#> $ time_on4 : chr "05:00" "6:13" "6:07" NA ...
#> $ time_off4 : chr "08:30pm" "10:57 pm" "22:00" "11:13pm" ...
#> $ non_wear_time4 : int 32 38 74 20 75 22 84 59 42 22 ...
#> $ steps5 : int 14858 21112 16880 11707 20917 30200 20220 17995 18712 25336 ...
#> $ time_on5 : chr "6:07" "6:13" "06:00" "05:00" ...
#> $ time_off5 : chr "11:57pm" "23:00" "8:17pm" "8:17pm" ...
#> $ non_wear_time5 : int 61 64 73 23 82 42 66 38 55 18 ...
#> $ steps6 : int 17705 5564 16459 12235 27766 26099 15763 7202 2746 3895 ...
#> $ time_on6 : chr "06:00" "06:00" NA "6:07" ...
#> $ time_off6 : chr "21:00" NA "10:57 pm" "08:30pm" ...
#> $ non_wear_time6 : int 33 24 89 8 27 56 66 21 14 7 ...
#> $ steps7 : int 11067 13540 12106 18795 15039 9082 3733 4029 20791 28499 ...
#> $ time_on7 : chr "6:07" "6:07" "8:00am" "06:00" ...
#> $ time_off7 : chr "08:30pm" "11:13pm" "8:17pm" "10:57 pm" ...
#> $ non_wear_time7 : int 8 72 4 38 9 32 49 36 34 43 ...
#> $ self_report_pa : int NA 2 2 4 3 5 NA 7 6 7 ...
#> $ csappa1 : int 1 2 4 2 2 2 3 2 2 3 ...
#> $ csappa2 : int 3 2 1 1 1 1 4 1 4 3 ...
#> $ csappa3 : int 2 3 2 1 NA 1 3 3 4 4 ...
#> $ csappa4 : int 4 1 1 3 4 4 4 4 4 1 ...
#> $ csappa5 : int 4 2 3 2 1 2 2 2 4 1 ...
#> $ csappa6 : int 3 4 1 4 2 2 2 3 4 4 ...
#> $ why_active1 : int 4 3 5 3 1 5 4 1 1 2 ...
#> $ why_active2 : int 5 3 4 2 5 3 5 NA 5 NA ...
#> $ why_active3 : int 3 3 1 4 2 3 4 4 5 3 ...
#> $ feelings_about_pa1 : int 4 3 2 2 1 1 3 4 4 2 ...
#> $ feelings_about_pa2 : int 5 2 2 3 4 2 4 4 2 5 ...
#> $ feelings_about_pa3 : int 2 5 2 5 3 2 2 1 3 5 ...
#> $ pa_guideline : int 2 3 4 1 2 4 3 2 2 2 ...
#> $ crf_means : int 1 4 4 2 2 1 2 1 4 1 ...
#> $ ms_means : int 3 2 1 2 3 1 1 2 4 2 ...
#> $ sports_skill : int 2 4 4 1 3 1 3 1 4 3 ...
#> $ pa_is : int 10 1 1 1 1 1 2 1 3 1 ...
#> $ pa_is_also : int 5 1 4 4 1 7 2 7 2 8 ...
#> $ improve : int 3 3 9 3 9 9 3 3 3 6 ...
#> $ increase : int 2 8 3 8 8 1 3 3 8 8 ...
#> $ when_cooling_down : int 4 2 4 2 2 2 2 5 2 2 ...
#> $ heart_rate : int 5 6 4 4 4 9 4 8 7 4 ...
#> $ pacer_laps_20m : num 18 31 169 38 63 12 25 110 33 NA ...
#> $ pacer_score : num 3 6 10 7 10 2 5 10 6 NA ...
#> $ pacer_interpretation : chr "progressing" "excelling" "excelling" "excelling" ...
#> $ plank_score : num 10 10 0 10 10 9 1 10 0 3 ...
#> $ plank_interpretation : chr "excelling" "excelling" "beginning" "excelling" ...
#> $ camsa_time_score1 : num 1 3 14 1 6 NA NA 11 7 13 ...
#> $ camsa_time_score2 : num 1 5 13 1 5 5 1 1 2 9 ...
#> $ camsa_skill_time_score1 : num 15 8 20 14 8 NA NA 22 12 24 ...
#> $ camsa_skill_time_score2 : num 15 10 26 12 19 19 1 5 2 13 ...
#> $ camsa_score : num 5.36 3.57 9.29 5 6.79 ...
#> $ camsa_interpretation : chr "beginning" "beginning" "excelling" "beginning" ...
#> $ pc_score : num 19.5 24 15 22 30 16.5 9 30 9 NA ...
#> $ pc_interpretation : chr "achieving" "excelling" "progressing" "excelling" ...
#> $ pc_status : chr "complete" "complete" "complete" "complete" ...
#> $ valid_days : int 6 4 5 5 7 6 7 7 6 6 ...
#> $ step_average : num 18098 21693 13178 14517 16956 ...
#> $ step_score : num 25 25 19 21 23 22 23 15 22 23 ...
#> $ step_interpretation : chr "excelling" "excelling" "achieving" "achieving" ...
#> $ self_report_pa_score : num NA 1 1 3 2 4 NA 5 5 5 ...
#> $ db_score : num NA 26 20 24 25 26 NA 20 27 28 ...
#> $ db_interpretation : chr NA "achieving" "progressing" "achieving" ...
#> $ db_status : chr "incomplete" "complete" "complete" "complete" ...
#> $ predilection_score : num 3.6 4.9 5.5 3 NA 3 6.2 4.9 4.8 4.9 ...
#> $ adequacy_score : num 2.4 5.5 7.5 4.3 5.5 5.5 4.2 4.3 3.6 4.3 ...
#> $ intrinsic_motivation_score: num 6 4.5 5 4.5 4 5.5 6.5 NA 5.5 NA ...
#> $ pa_competence_score : num 5.5 5 3 5 4 2.5 4.5 4.5 4.5 6 ...
#> $ mc_score : num 17.5 19.9 21 16.8 18 ...
#> $ mc_interpretation : chr "progressing" "progressing" "progressing" "progressing" ...
#> $ mc_status : chr "complete" "complete" "complete" "complete" ...
#> $ pa_guideline_score : num 0 1 0 0 0 0 1 0 0 0 ...
#> $ crf_means_score : num 0 0 0 1 1 0 1 0 0 0 ...
#> $ ms_means_score : num 0 0 1 0 0 1 1 0 0 0 ...
#> $ sports_skill_score : num 0 1 1 0 0 0 0 0 1 0 ...
#> $ fill_in_the_blanks_score : num 1 5 2 5 5 3 3 3 3 4 ...
#> $ ku_score : num 1 7 4 6 6 4 6 3 4 4 ...
#> $ ku_interpretation : chr "beginning" "achieving" "beginning" "progressing" ...
#> $ ku_status : chr "complete" "complete" "complete" "complete" ...
#> $ capl_score : num 54.3 76.9 60 68.8 79 ...
#> $ capl_interpretation : chr "progressing" "excelling" "progressing" "achieving" ...
#> $ capl_status : chr "missing protocol" "complete" "complete" "complete" ...
The 40 new variables related to/including the CAPL-2 scores and interpretations that are output from the get_capl()
function include:
pacer_laps_20m
pacer_score
pacer_interpretation
plank_score
plank_interpretation
camsa_time_score1
camsa_time_score2
camsa_skill_time_score1
camsa_skill_time_score2
camsa_score
camsa_interpretation
pc_score
pc_interpretation
pc_status
step_average
valid_days
step_score
step_interpretation
self_report_pa_score
db_score
db_interpretation
db_status
predilection_score
adequacy_score
intrinsic_motivation_score
pa_competence_score
mc_score
mc_interpretation
mc_status
pa_guideline_score
crf_means_score
ms_means_score
sports_skill_score
fill_in_the_blanks_score
ku_score
ku_interpretation
ku_status
capl_score
capl_interpretation
capl_status
Some users may want to validate and compute individual variables and scores. The following sections introduce the helper functions in the order they appear when called in the get_capl()
function.
As illustrated in the CAPL-2 manual on page 43, the physical competence score is computed by summing the PACER (Progressive Aerobic Cardiovascular Endurance Run), plank, and CAMSA (Canadian Agility and Movement Skill Assessment) scores:
The pacer_laps_20m()
function converts PACER (Progressive Aerobic Cardiovascular Endurance Run) shuttle run laps to their equivalent in 20-metre laps. If laps are already 20-metre laps, they are returned unless outside the valid range (1-229). This variable is used to compute the PACER score.
$pacer_laps_20m <- get_pacer_20m_laps(
capl_demo_datalap_distance = capl_demo_data$pacer_lap_distance,
laps_run = capl_demo_data$pacer_laps
)
$pacer_laps_20m
capl_demo_data#> [1] 18 31 169 38 63 12 25 110 33 NA 127 62 39 19 NA 84 145 166
#> [19] 108 125 98 147 85 49 4 118 144 85 122 85 197 5 184 19 63 112
#> [37] 89 46 178 35 69 122 54 79 120 85 1 187 59 178 47 55 89 98
#> [55] 79 119 11 70 89 88 68 82 116 38 152 195 4 69 100 99 NA 88
#> [73] 57 43 98 125 127 5 16 173 20 33 89 99 39 35 43 100 177 15
#> [91] 141 141 39 NA 8 41 43 2 101 NA 54 78 90 176 40 2 122 58
#> [109] 98 5 51 112 101 122 12 177 38 92 31 53 102 200 138 166 62 31
#> [127] 86 75 87 56 147 140 45 51 136 74 148 194 67 142 172 121 NA 78
#> [145] 40 18 59 190 78 69 33 78 78 58 84 122 27 199 147 75 180 84
#> [163] 36 129 14 133 70 65 8 43 110 64 69 120 125 28 142 115 108 14
#> [181] 113 108 41 52 53 92 111 180 108 101 167 78 26 23 44 200 131 19
#> [199] 122 144 16 28 105 135 92 173 79 17 NA 74 63 32 37 161 116 NA
#> [217] 28 48 60 52 35 49 NA 117 48 60 110 45 72 109 NA 32 98 37
#> [235] 84 29 57 108 138 117 123 92 NA 112 140 171 9 191 NA 106 142 85
#> [253] 82 99 2 193 132 106 NA 152 188 61 36 NA 124 19 29 137 137 24
#> [271] 18 118 196 95 48 195 22 144 138 76 57 154 60 128 154 85 61 7
#> [289] 102 200 98 118 139 64 148 88 131 64 104 90 109 125 92 107 127 137
#> [307] 139 68 61 43 133 102 127 146 30 89 42 122 77 50 80 105 NA 46
#> [325] 154 122 173 10 78 41 150 140 129 30 84 3 6 74 186 NA 1 63
#> [343] 108 98 73 102 131 126 144 95 62 115 165 49 49 187 101 151 53 52
#> [361] 78 137 4 45 120 139 1 21 NA 76 134 16 12 125 63 140 144 102
#> [379] 141 62 134 142 90 193 NA 95 58 NA 28 21 150 100 185 140 142 NA
#> [397] 138 76 15 47 38 116 153 83 61 83 89 89 196 88 105 99 110 20
#> [415] 122 110 163 61 160 71 135 6 105 189 7 70 90 40 104 107 NA 165
#> [433] 27 78 42 167 51 57 128 44 25 NA 13 79 98 34 107 167 75 NA
#> [451] 119 13 82 136 21 140 58 126 144 35 25 29 97 195 131 3 18 66
#> [469] NA 58 65 75 129 NA 196 175 112 134 145 141 65 10 NA 32 68 NA
#> [487] 144 135 112 130 112 52 51 142 24 NA 96 125 65 45
The get_pacer_score()
function computes a PACER (Progressive Aerobic Cardiovascular Endurance Run) score that ranges from zero to 10 based on the number of PACER laps run at a 20-metre distance. This score is used to compute the physical competence domain score variable.
$pacer_score <- get_pacer_score(capl_demo_data$pacer_laps_20m) capl_demo_data
$pacer_score
capl_demo_data#> [1] 3 6 10 7 10 2 5 10 6 NA 10 10 7 3 NA 10 10 10 10 10 10 10 10 9 0
#> [26] 10 10 10 10 10 10 1 10 3 10 10 10 9 10 7 10 10 10 10 10 10 0 10 10 10
#> [51] 9 10 10 10 10 10 2 10 10 10 10 10 10 7 10 10 0 10 10 10 NA 10 10 8 10
#> [76] 10 10 1 3 10 4 6 10 10 7 7 8 10 10 3 10 10 7 NA 1 8 8 0 10 NA
#> [101] 10 10 10 10 8 0 10 10 10 1 10 10 10 10 2 10 7 10 6 10 10 10 10 10 10
#> [126] 6 10 10 10 10 10 10 9 10 10 10 10 10 10 10 10 10 NA 10 8 3 10 10 10 10
#> [151] 6 10 10 10 10 10 5 10 10 10 10 10 7 10 2 10 10 10 1 8 10 10 10 10 10
#> [176] 5 10 10 10 2 10 10 8 10 10 10 10 10 10 10 10 10 5 4 8 10 10 3 10 10
#> [201] 3 5 10 10 10 10 10 3 NA 10 10 6 7 10 10 NA 5 9 10 10 7 9 NA 10 9
#> [226] 10 10 9 10 10 NA 6 10 7 10 5 10 10 10 10 10 10 NA 10 10 10 1 10 NA 10
#> [251] 10 10 10 10 0 10 10 10 NA 10 10 10 7 NA 10 3 5 10 10 4 3 10 10 10 9
#> [276] 10 4 10 10 10 10 10 10 10 10 10 10 1 10 10 10 10 10 10 10 10 10 10 10 10
#> [301] 10 10 10 10 10 10 10 10 10 8 10 10 10 10 6 10 8 10 10 10 10 10 NA 9 10
#> [326] 10 10 2 10 8 10 10 10 6 10 0 1 10 10 NA 0 10 10 10 10 10 10 10 10 10
#> [351] 10 10 10 9 9 10 10 10 10 10 10 10 0 9 10 10 0 4 NA 10 10 3 2 10 10
#> [376] 10 10 10 10 10 10 10 10 10 NA 10 10 NA 5 4 10 10 10 10 10 NA 10 10 3 9
#> [401] 7 10 10 10 10 10 10 10 10 10 10 10 10 4 10 10 10 10 10 10 10 1 10 10 1
#> [426] 10 10 8 10 10 NA 10 5 10 8 10 10 10 10 8 5 NA 2 10 10 6 10 10 10 NA
#> [451] 10 2 10 10 4 10 10 10 10 7 5 5 10 10 10 0 3 10 NA 10 10 10 10 NA 10
#> [476] 10 10 10 10 10 10 2 NA 6 10 NA 10 10 10 10 10 10 10 10 4 NA 10 10 10 9
The get_capl_interpretation()
function computes an age- and gender-specific CAPL-2 interpretation for a given CAPL-2 protocol or domain score.
$pacer_interpretation <- get_capl_interpretation(
capl_demo_dataage = capl_demo_data$age,
gender = capl_demo_data$gender,
score = capl_demo_data$pacer_score,
protocol = "pacer"
)
$pacer_interpretation
capl_demo_data#> [1] "beginning" "beginning" "progressing" "beginning" "beginning"
#> [6] "beginning" "beginning" "progressing" "beginning" NA
#> [11] NA "beginning" NA NA NA
#> [16] "progressing" "beginning" "progressing" "beginning" "progressing"
#> [21] "beginning" "beginning" "progressing" NA NA
#> [26] NA "beginning" NA "beginning" "progressing"
#> [31] "progressing" "beginning" "beginning" NA "beginning"
#> [36] NA NA "beginning" "progressing" "beginning"
#> [41] "beginning" "progressing" "progressing" "beginning" "beginning"
#> [46] "progressing" NA "progressing" NA NA
#> [51] "progressing" "progressing" "beginning" "beginning" "progressing"
#> [56] "progressing" "beginning" "progressing" "progressing" "beginning"
#> [61] "beginning" NA "progressing" "beginning" "progressing"
#> [66] NA NA "progressing" NA "progressing"
#> [71] NA "progressing" "beginning" "beginning" NA
#> [76] "progressing" NA "beginning" "beginning" "beginning"
#> [81] NA "beginning" "progressing" "beginning" "beginning"
#> [86] NA "beginning" "progressing" "progressing" "beginning"
#> [91] "progressing" "beginning" NA NA NA
#> [96] "beginning" NA NA "progressing" NA
#> [101] "beginning" "beginning" "beginning" NA "beginning"
#> [106] NA "beginning" "progressing" "progressing" "beginning"
#> [111] "beginning" "progressing" "beginning" NA "beginning"
#> [116] "progressing" "beginning" "beginning" "beginning" "progressing"
#> [121] NA "beginning" "progressing" "progressing" "beginning"
#> [126] NA "progressing" NA NA "beginning"
#> [131] "beginning" NA "beginning" "beginning" "beginning"
#> [136] "progressing" "progressing" "progressing" "beginning" "beginning"
#> [141] "beginning" "beginning" NA "beginning" "beginning"
#> [146] "beginning" NA NA "beginning" "beginning"
#> [151] "beginning" "progressing" "beginning" "beginning" "beginning"
#> [156] "progressing" "beginning" "beginning" "progressing" "progressing"
#> [161] NA "beginning" "beginning" "progressing" NA
#> [166] "progressing" "beginning" NA "beginning" "beginning"
#> [171] "beginning" "progressing" "progressing" "beginning" "progressing"
#> [176] "beginning" "beginning" NA NA "beginning"
#> [181] "progressing" NA "beginning" NA "beginning"
#> [186] "progressing" "progressing" "beginning" "progressing" NA
#> [191] "progressing" "beginning" "beginning" "beginning" NA
#> [196] "progressing" "beginning" "beginning" "progressing" NA
#> [201] "beginning" "beginning" "progressing" "progressing" "progressing"
#> [206] "progressing" "progressing" "beginning" NA NA
#> [211] NA "beginning" "beginning" "beginning" "progressing"
#> [216] NA NA "progressing" "progressing" "progressing"
#> [221] "beginning" "beginning" NA NA "beginning"
#> [226] "progressing" "progressing" NA "progressing" NA
#> [231] NA "beginning" "progressing" "beginning" "progressing"
#> [236] "beginning" "beginning" "beginning" "beginning" "progressing"
#> [241] "progressing" "beginning" NA NA NA
#> [246] "progressing" "beginning" NA NA "beginning"
#> [251] NA "progressing" NA "progressing" NA
#> [256] "beginning" "beginning" "beginning" NA NA
#> [261] "progressing" "progressing" "beginning" NA "progressing"
#> [266] "beginning" "beginning" "beginning" "progressing" "beginning"
#> [271] "beginning" "beginning" NA "beginning" "beginning"
#> [276] "progressing" "beginning" "progressing" "beginning" "beginning"
#> [281] "beginning" NA "beginning" "progressing" "progressing"
#> [286] "progressing" "progressing" "beginning" "beginning" "beginning"
#> [291] "beginning" "beginning" "beginning" "beginning" NA
#> [296] "progressing" "progressing" "progressing" "progressing" "beginning"
#> [301] "progressing" "beginning" "beginning" "beginning" "beginning"
#> [306] "progressing" "progressing" NA NA "beginning"
#> [311] "progressing" "beginning" "beginning" "beginning" "beginning"
#> [316] "beginning" "beginning" "progressing" "beginning" NA
#> [321] "progressing" "progressing" NA "beginning" "beginning"
#> [326] NA "progressing" "beginning" "beginning" "beginning"
#> [331] "beginning" "progressing" "beginning" "beginning" "progressing"
#> [336] NA "beginning" "progressing" "beginning" NA
#> [341] NA NA "progressing" "progressing" "beginning"
#> [346] "progressing" "progressing" "beginning" "progressing" "progressing"
#> [351] NA NA "beginning" "beginning" "beginning"
#> [356] "beginning" NA "progressing" "progressing" "progressing"
#> [361] NA "progressing" NA "beginning" "progressing"
#> [366] "beginning" NA "beginning" NA "progressing"
#> [371] "progressing" "beginning" "beginning" NA "progressing"
#> [376] "beginning" "beginning" NA NA "beginning"
#> [381] "beginning" "beginning" "progressing" "progressing" NA
#> [386] "beginning" "progressing" NA "beginning" "beginning"
#> [391] "progressing" "beginning" NA "progressing" "beginning"
#> [396] NA "progressing" NA "beginning" "beginning"
#> [401] NA "progressing" "progressing" "progressing" "progressing"
#> [406] "progressing" NA "progressing" "progressing" "beginning"
#> [411] NA "progressing" "beginning" "beginning" "beginning"
#> [416] "progressing" "progressing" "progressing" "progressing" NA
#> [421] "progressing" "beginning" "progressing" "progressing" "beginning"
#> [426] "progressing" "beginning" "beginning" "progressing" "beginning"
#> [431] NA "progressing" "beginning" NA "beginning"
#> [436] "progressing" "progressing" "progressing" "progressing" "beginning"
#> [441] "beginning" NA "beginning" "beginning" "beginning"
#> [446] "beginning" "beginning" "progressing" "beginning" NA
#> [451] "beginning" "beginning" NA "progressing" "beginning"
#> [456] "beginning" "progressing" "beginning" "beginning" "beginning"
#> [461] NA "beginning" "beginning" "progressing" NA
#> [466] NA "beginning" NA NA NA
#> [471] "progressing" "progressing" NA NA "progressing"
#> [476] "beginning" NA "beginning" "progressing" "beginning"
#> [481] NA "beginning" NA NA "beginning"
#> [486] NA "beginning" NA "beginning" "beginning"
#> [491] "beginning" "progressing" "progressing" "beginning" "beginning"
#> [496] NA NA NA "beginning" "beginning"
The get_plank_score()
function computes a plank score that ranges from zero to 10 based on the duration of time (in seconds) for which a plank is held. This score is used to compute the physical competence domain score.
$plank_score <- get_plank_score(capl_demo_data$plank_time) capl_demo_data
$plank_score
capl_demo_data#> [1] 10 10 0 10 10 9 1 10 0 3 10 10 10 10 10 10 10 10 0 10 10 5 3 10 9
#> [26] 10 10 0 10 5 0 0 5 10 5 10 4 7 10 3 6 10 0 10 8 6 10 10 0 10
#> [51] 5 9 10 10 10 10 10 10 10 10 10 8 0 10 4 10 2 9 0 6 10 10 7 10 4
#> [76] 10 10 10 6 0 10 10 10 10 9 10 10 10 10 5 0 10 10 10 1 8 10 10 8 2
#> [101] 4 10 0 10 2 10 9 10 3 10 10 5 10 8 4 10 10 10 10 0 10 10 0 10 10
#> [126] 10 10 10 10 10 5 10 3 10 0 10 7 0 10 7 0 10 10 10 6 10 10 10 0 1
#> [151] 5 10 10 5 2 10 4 10 10 10 10 1 10 0 8 10 10 0 7 7 10 10 1 10 10
#> [176] 10 10 10 10 10 1 0 9 10 10 10 10 10 10 10 6 3 3 10 10 1 10 10 10 8
#> [201] 0 0 10 4 10 3 10 10 3 0 10 3 10 10 10 7 10 0 10 10 10 1 10 10 0
#> [226] 10 10 10 2 4 10 0 4 0 10 10 0 6 10 10 10 0 10 10 8 10 10 10 0 10
#> [251] 10 10 2 10 10 10 10 8 10 10 10 8 10 10 10 10 1 10 10 10 10 10 10 9 4
#> [276] 4 10 10 10 10 10 5 8 10 10 10 10 10 6 10 8 10 0 10 7 2 10 0 10 10
#> [301] 0 5 10 6 10 10 10 10 10 10 6 10 10 5 2 7 10 10 10 10 10 10 10 10 10
#> [326] 10 5 0 0 10 10 10 0 7 10 10 10 10 7 10 10 10 10 10 10 10 10 0 0 10
#> [351] 10 10 10 10 10 2 10 10 10 7 9 10 10 10 9 6 10 0 10 10 10 10 9 10 10
#> [376] 3 10 10 10 10 7 6 10 10 8 10 10 10 4 5 10 10 10 10 9 10 2 10 10 5
#> [401] 10 5 9 10 10 0 10 10 10 10 10 10 6 10 10 0 10 4 10 8 2 4 3 10 7
#> [426] 10 10 10 10 6 10 10 8 10 10 10 10 10 10 3 3 10 10 10 4 10 10 0 10 10
#> [451] 10 10 9 8 10 10 3 10 6 2 0 10 10 4 2 2 10 9 10 0 7 10 6 7 3
#> [476] 0 2 10 10 8 10 10 10 10 8 10 2 3 10 3 6 4 10 10 10 10 10 2 10 0
The get_capl_interpretation()
function computes an age- and gender-specific CAPL-2 interpretation for a given CAPL-2 protocol or domain score.
$plank_interpretation <- get_capl_interpretation(
capl_demo_dataage = capl_demo_data$age,
gender = capl_demo_data$gender,
score = capl_demo_data$plank_time,
protocol = "plank"
)
$plank_interpretation
capl_demo_data#> [1] "excelling" "excelling" "beginning" "excelling" "excelling"
#> [6] "excelling" "beginning" "excelling" "beginning" "progressing"
#> [11] NA "excelling" NA NA "excelling"
#> [16] "excelling" "excelling" "excelling" "beginning" "excelling"
#> [21] "excelling" "achieving" "progressing" NA NA
#> [26] NA "excelling" NA "excelling" "progressing"
#> [31] "beginning" "beginning" "progressing" NA "progressing"
#> [36] NA NA "achieving" "excelling" "progressing"
#> [41] "progressing" "excelling" "beginning" "excelling" "achieving"
#> [46] "progressing" "excelling" "excelling" NA NA
#> [51] "achieving" "excelling" "excelling" "excelling" "excelling"
#> [56] "excelling" "excelling" "excelling" "excelling" "excelling"
#> [61] "excelling" NA "beginning" "excelling" "progressing"
#> [66] NA "progressing" "excelling" NA "achieving"
#> [71] "excelling" "excelling" "achieving" "excelling" NA
#> [76] "excelling" NA "excelling" "progressing" "beginning"
#> [81] NA "excelling" "excelling" "excelling" "achieving"
#> [86] NA "excelling" "excelling" "excelling" "progressing"
#> [91] "beginning" "excelling" NA NA NA
#> [96] "achieving" NA "excelling" "achieving" "progressing"
#> [101] "progressing" "excelling" "beginning" NA "progressing"
#> [106] "excelling" "achieving" "excelling" "progressing" "excelling"
#> [111] "excelling" "achieving" "excelling" NA "progressing"
#> [116] "excelling" "excelling" "excelling" "excelling" "beginning"
#> [121] NA "excelling" "beginning" "excelling" "excelling"
#> [126] NA "excelling" NA NA "excelling"
#> [131] "progressing" NA "progressing" "excelling" "beginning"
#> [136] "excelling" "achieving" "beginning" "excelling" "achieving"
#> [141] "beginning" "excelling" "excelling" "excelling" "progressing"
#> [146] "excelling" NA NA "beginning" "progressing"
#> [151] "achieving" "excelling" "excelling" "progressing" "progressing"
#> [156] "excelling" "progressing" "excelling" "excelling" "excelling"
#> [161] NA "progressing" "excelling" "beginning" NA
#> [166] "excelling" "excelling" NA "achieving" "achieving"
#> [171] "excelling" "excelling" "progressing" "excelling" "excelling"
#> [176] "excelling" "excelling" NA NA "excelling"
#> [181] "beginning" NA "achieving" NA "excelling"
#> [186] "excelling" "excelling" "excelling" "excelling" NA
#> [191] "achieving" "progressing" "progressing" "excelling" NA
#> [196] "beginning" "excelling" "excelling" "excelling" NA
#> [201] "beginning" "beginning" "excelling" "progressing" "excelling"
#> [206] "progressing" "excelling" "excelling" "progressing" NA
#> [211] NA "progressing" "excelling" "excelling" "excelling"
#> [216] "achieving" NA "beginning" "excelling" "excelling"
#> [221] "excelling" "progressing" NA NA "beginning"
#> [226] "excelling" "excelling" NA "progressing" NA
#> [231] "excelling" "beginning" "progressing" "beginning" "excelling"
#> [236] "excelling" "beginning" "achieving" "excelling" "excelling"
#> [241] "excelling" "beginning" NA NA NA
#> [246] "excelling" "excelling" NA NA "excelling"
#> [251] NA "excelling" NA "excelling" "excelling"
#> [256] "excelling" "excelling" "achieving" "excelling" NA
#> [261] "excelling" "achieving" "excelling" "excelling" "excelling"
#> [266] "excelling" "progressing" "excelling" "excelling" "excelling"
#> [271] "excelling" "excelling" NA "excelling" "progressing"
#> [276] "progressing" "excelling" "excelling" "excelling" "excelling"
#> [281] "excelling" NA "achieving" "excelling" "excelling"
#> [286] "excelling" "excelling" "excelling" "achieving" "excelling"
#> [291] "achieving" "excelling" "beginning" "excelling" NA
#> [296] "progressing" "excelling" "beginning" "excelling" "excelling"
#> [301] "beginning" "progressing" "excelling" "progressing" "excelling"
#> [306] "excelling" "excelling" NA NA "excelling"
#> [311] "achieving" "excelling" "excelling" "progressing" "progressing"
#> [316] "achieving" "excelling" "excelling" "excelling" NA
#> [321] "excelling" "excelling" "excelling" "excelling" "excelling"
#> [326] NA "progressing" "beginning" "beginning" "excelling"
#> [331] "excelling" "excelling" "beginning" "achieving" "excelling"
#> [336] "excelling" "excelling" "excelling" "achieving" "excelling"
#> [341] NA NA "excelling" "excelling" "excelling"
#> [346] "excelling" "excelling" "beginning" "progressing" "excelling"
#> [351] NA NA "excelling" "excelling" "excelling"
#> [356] "progressing" NA "excelling" "excelling" "achieving"
#> [361] NA "excelling" NA "excelling" "excelling"
#> [366] "achieving" "excelling" "progressing" "excelling" "excelling"
#> [371] "excelling" "excelling" "excelling" NA "excelling"
#> [376] "progressing" "excelling" NA NA "excelling"
#> [381] "achieving" "progressing" "excelling" "excelling" "excelling"
#> [386] "excelling" "excelling" NA "progressing" "achieving"
#> [391] "excelling" "excelling" NA "excelling" "achieving"
#> [396] "excelling" "progressing" NA "excelling" "progressing"
#> [401] NA "progressing" "excelling" "excelling" "excelling"
#> [406] "beginning" NA "excelling" "excelling" "excelling"
#> [411] NA "excelling" "progressing" "excelling" "excelling"
#> [416] "beginning" "excelling" "progressing" "excelling" NA
#> [421] "progressing" "progressing" "progressing" "excelling" "achieving"
#> [426] "excelling" "excelling" "excelling" "excelling" "achieving"
#> [431] "excelling" "excelling" "achieving" NA "excelling"
#> [436] "excelling" "excelling" "excelling" "excelling" "progressing"
#> [441] "progressing" "excelling" "excelling" "excelling" "progressing"
#> [446] "excelling" "excelling" "beginning" "excelling" NA
#> [451] "excelling" "excelling" NA "excelling" "excelling"
#> [456] "excelling" "progressing" "excelling" "achieving" "progressing"
#> [461] NA "excelling" "excelling" "progressing" NA
#> [466] "progressing" "excelling" NA NA NA
#> [471] "achieving" "excelling" NA "achieving" "progressing"
#> [476] "beginning" NA "excelling" "excelling" "achieving"
#> [481] NA "excelling" "excelling" NA "achieving"
#> [486] NA "progressing" NA "excelling" "progressing"
#> [491] "progressing" "progressing" "excelling" "excelling" "excelling"
#> [496] "excelling" NA NA "excelling" "beginning"
The get_camsa_time()
function computes the CAMSA (Canadian Agility and Movement Skill Assessment) time score that ranges from one to 14 based on the time taken (in seconds) to complete a trial.
# Trial 1
$camsa_time_score1 <- get_camsa_time_score(capl_demo_data$camsa_time1)
capl_demo_data
# Trial 2
$camsa_time_score2 <- get_camsa_time_score(capl_demo_data$camsa_time2) capl_demo_data
# Time scores for trial 1
$camsa_time_score1
capl_demo_data#> [1] 1 3 14 1 6 NA NA 11 7 13 1 14 13 14 9 14 5 14 1 4 6 2 10 14 NA
#> [26] 12 6 13 14 1 8 3 1 1 1 4 1 12 2 14 14 1 5 5 1 3 9 3 1 10
#> [51] 7 1 8 1 2 4 11 2 6 13 6 3 14 6 4 1 1 NA 5 14 2 14 7 12 12
#> [76] 8 7 1 NA 14 10 NA 6 1 5 7 1 1 4 1 1 1 NA 8 4 14 1 10 4 13
#> [101] NA 5 13 11 5 9 3 7 10 2 1 14 13 13 1 NA 14 2 13 1 11 4 1 8 1
#> [126] NA 14 14 NA 10 5 NA 4 12 1 NA 11 11 NA NA 8 8 1 3 1 14 14 1 10 5
#> [151] 1 1 11 6 3 5 14 2 4 1 5 6 7 1 1 8 12 2 12 1 14 6 14 12 14
#> [176] 13 1 14 8 5 10 5 7 2 11 2 14 4 11 5 11 14 14 14 1 14 3 NA 9 8
#> [201] 5 3 3 7 1 11 3 10 12 3 14 13 6 12 1 14 6 8 7 6 14 5 3 10 8
#> [226] 3 13 5 4 1 14 5 3 13 1 14 14 1 14 7 6 NA 6 2 5 1 1 4 1 14
#> [251] 14 NA 1 5 9 NA 14 14 14 1 10 14 10 9 3 3 1 10 NA 14 3 11 1 5 9
#> [276] 5 5 5 2 4 4 14 12 14 14 11 4 2 5 1 13 14 1 7 11 4 1 9 12 NA
#> [301] 14 2 1 1 6 1 1 2 1 1 3 7 11 8 6 4 1 1 14 1 3 2 7 14 14
#> [326] 10 8 11 8 1 5 9 10 14 8 2 3 1 14 13 13 7 1 14 9 1 NA 1 11 13
#> [351] 3 1 1 4 10 13 4 9 8 14 1 4 10 14 12 1 1 14 10 14 2 1 1 11 7
#> [376] 1 14 1 10 10 13 2 3 2 14 8 2 10 13 1 7 2 1 3 14 14 14 14 10 14
#> [401] 7 1 13 13 9 14 1 10 2 6 14 3 1 1 3 8 1 14 1 3 4 NA 8 1 14
#> [426] 2 4 8 1 13 1 1 11 3 5 7 10 4 2 8 5 1 5 4 1 14 14 1 12 2
#> [451] 5 10 8 1 3 14 7 14 14 12 6 NA 1 10 NA 13 6 1 1 13 12 5 14 1 1
#> [476] 4 14 2 9 3 1 3 1 7 2 2 1 4 7 10 1 4 11 NA 13 14 14 13 6 1
# Time scores for trial 2
$camsa_time_score2
capl_demo_data#> [1] 1 5 13 1 5 5 1 1 2 9 3 8 3 14 9 14 NA 1 4 1 10 5 14 1 1
#> [26] 3 2 10 2 1 3 11 14 12 14 12 12 3 14 10 1 NA 1 1 14 1 6 11 13 5
#> [51] 1 14 14 14 3 1 8 14 14 5 1 1 14 1 NA 14 11 1 10 3 7 14 8 4 1
#> [76] 1 3 5 1 1 NA 8 1 5 NA 2 1 NA 10 2 1 6 14 7 3 12 8 14 14 6
#> [101] 14 3 4 13 1 9 5 5 9 1 14 14 11 1 10 6 1 14 2 11 5 1 4 5 11
#> [126] 1 14 11 1 1 4 14 14 2 NA 5 4 12 5 1 14 2 5 13 12 11 NA 2 4 12
#> [151] 4 5 2 1 8 5 14 1 12 2 10 1 8 14 14 6 5 5 13 14 14 9 3 5 12
#> [176] 4 10 10 14 14 5 1 8 14 4 2 6 4 14 6 14 9 14 1 1 NA 11 1 1 14
#> [201] 4 9 1 12 4 11 1 6 1 1 1 13 4 NA 6 14 1 1 14 7 6 1 1 1 4
#> [226] 12 14 NA 1 14 3 14 14 3 5 1 6 14 8 13 NA 7 6 14 3 14 6 2 14 5
#> [251] 2 14 2 4 1 2 7 3 1 1 13 4 NA 12 12 NA 2 1 1 7 12 10 2 1 11
#> [276] NA 9 4 5 1 2 3 14 14 1 6 NA 1 NA 13 14 2 1 9 12 6 14 2 NA 14
#> [301] 1 11 1 14 1 1 1 2 7 3 14 7 14 1 NA 14 5 10 4 1 1 14 9 2 4
#> [326] 5 5 7 8 13 11 3 12 14 1 2 2 1 10 1 1 NA 13 NA 4 1 2 7 5 1
#> [351] 9 1 1 5 11 1 1 14 11 5 5 8 1 4 13 8 14 5 1 12 13 3 5 14 9
#> [376] 2 12 14 1 13 9 1 14 3 1 2 6 2 3 8 14 2 5 9 2 4 1 10 3 8
#> [401] 1 1 10 3 1 1 1 1 2 14 2 7 3 3 14 1 14 13 14 2 6 3 1 14 14
#> [426] 12 8 14 5 2 1 1 14 3 14 1 2 2 11 4 8 1 NA 13 NA 5 2 3 4 14
#> [451] 5 1 1 1 NA 1 5 1 14 14 9 1 14 1 9 13 1 10 11 1 1 10 5 1 1
#> [476] 3 1 3 5 7 3 14 14 2 2 3 4 1 12 NA 1 10 8 14 13 12 4 NA 1 NA
The get_camsa_skill_time_score()
function computes the CAMSA (Canadian Agility and Movement Skill Assessment) skill + time score for a given trial. This score is used to compute the CAMSA score.
# Trial 1
$camsa_skill_time_score1 <- get_camsa_skill_time_score(
capl_demo_datacamsa_skill_score = capl_demo_data$camsa_skill_score1,
camsa_time_score = capl_demo_data$camsa_time_score1
)
# Trial 2
$camsa_skill_time_score2 <- get_camsa_skill_time_score(
capl_demo_datacamsa_skill_score = capl_demo_data$camsa_skill_score2,
camsa_time_score = capl_demo_data$camsa_time_score2
)
# Time scores for trial 1
$camsa_skill_time_score1
capl_demo_data#> [1] 15 8 20 14 8 NA NA 22 12 24 15 24 24 18 13 24 11 18 9 5 10 16 19 21 NA
#> [26] 24 17 23 28 8 NA 6 NA 8 5 7 6 18 15 18 16 11 17 16 5 6 21 10 1 22
#> [51] 21 5 17 13 16 12 19 16 11 18 11 12 21 16 10 14 10 NA 9 NA 13 NA 17 21 17
#> [76] 18 18 15 NA 25 21 NA 10 14 5 20 15 7 9 6 14 7 NA 9 9 27 6 16 10 NA
#> [101] NA 17 24 14 8 20 13 13 17 10 9 21 19 20 14 NA 21 6 25 15 19 15 14 19 8
#> [126] NA 21 26 NA 23 17 NA 17 17 5 NA NA 18 NA NA 18 NA 14 8 15 27 NA 12 21 17
#> [151] 8 NA 24 10 15 9 20 14 14 NA NA NA 18 15 9 17 21 9 23 13 23 10 27 NA 28
#> [176] NA 8 25 21 19 12 13 12 13 25 14 25 8 16 15 15 26 18 23 11 19 NA NA 20 12
#> [201] 12 16 12 19 15 16 16 17 25 10 18 23 8 17 3 25 19 15 21 14 28 16 6 20 19
#> [226] 12 19 NA 16 9 NA 11 13 17 9 18 19 14 21 11 10 NA 11 11 13 14 11 14 12 26
#> [251] 22 NA 5 6 13 NA 18 23 23 7 22 14 17 22 7 9 5 23 NA 28 15 22 15 15 16
#> [276] 8 10 18 12 16 11 19 20 19 22 16 9 7 15 10 22 21 6 21 21 13 5 23 18 NA
#> [301] 26 13 8 6 13 11 12 11 13 8 16 19 21 20 19 14 8 5 15 14 11 8 17 20 28
#> [326] 15 13 16 21 6 12 22 24 22 20 12 9 13 21 17 18 15 15 20 15 10 NA 11 13 22
#> [351] 10 9 7 15 16 25 9 18 NA 28 5 7 NA 21 24 12 7 28 NA 21 9 12 15 22 14
#> [376] 12 19 11 16 13 18 12 12 9 20 17 NA 21 21 15 15 11 7 15 25 26 19 28 NA 28
#> [401] 13 3 23 26 14 19 8 22 9 NA 26 17 11 11 10 20 5 27 14 NA 9 NA 11 6 20
#> [426] 6 18 14 15 17 7 8 16 13 17 20 21 8 6 18 NA 10 6 18 13 16 20 7 25 6
#> [451] NA NA 18 6 11 20 12 17 22 26 15 NA 9 17 NA 13 13 8 6 26 19 7 23 15 9
#> [476] 12 16 10 15 12 7 11 12 12 9 8 9 15 NA 17 6 18 15 NA 19 14 22 22 14 15
# Time scores for trial 2
$camsa_skill_time_score2
capl_demo_data#> [1] 15 10 26 12 19 19 1 5 2 13 12 18 14 26 18 26 NA 14 8 10 18 9 25 13 11
#> [26] 13 NA 19 10 7 8 16 28 24 28 21 22 16 20 16 13 NA 3 8 27 6 14 23 24 16
#> [51] 12 28 20 20 NA 11 13 18 22 6 5 8 28 7 NA 21 17 5 21 16 NA 26 NA 12 12
#> [76] 13 17 10 12 5 NA 8 NA 8 NA 7 8 NA 18 9 5 15 19 14 13 16 9 22 19 17
#> [101] 18 12 6 23 13 16 17 9 13 14 26 20 21 NA 14 15 5 15 14 23 13 14 7 13 22
#> [126] 7 17 17 13 10 12 18 25 10 NA 16 10 18 14 12 25 7 17 26 21 23 NA 11 13 23
#> [151] 11 19 8 11 22 11 21 9 22 12 24 6 18 24 26 NA 16 7 22 24 22 18 17 18 16
#> [176] 12 19 17 25 27 9 5 11 27 13 11 15 11 26 10 18 11 22 7 12 NA 25 11 7 21
#> [201] 16 16 12 23 15 22 7 14 15 9 12 19 16 NA 10 NA 10 3 NA 14 10 5 7 8 13
#> [226] 18 22 NA 11 26 15 22 21 11 18 10 10 28 14 15 NA 15 14 21 9 27 15 11 24 18
#> [251] 6 19 11 10 12 8 18 5 12 2 17 14 NA 14 18 NA 11 8 7 18 24 11 15 15 22
#> [276] NA 20 18 16 15 11 8 23 19 5 14 NA 12 NA 19 22 12 5 18 22 19 23 11 NA NA
#> [301] 6 20 8 19 13 7 7 8 21 5 NA 20 25 8 NA 18 11 15 18 11 10 27 14 8 8
#> [326] 11 19 12 14 23 24 14 NA 28 13 NA 9 9 NA 6 12 NA 23 NA 18 10 11 11 12 9
#> [351] 14 9 13 17 20 15 13 20 20 11 19 17 11 18 NA 12 23 10 12 25 21 8 9 27 17
#> [376] 13 20 16 4 23 23 8 27 10 10 14 20 10 15 17 23 16 12 22 12 4 8 19 8 14
#> [401] 14 14 19 12 11 11 1 13 6 26 2 12 11 16 21 NA 26 14 18 10 19 13 7 28 26
#> [426] 16 14 14 13 12 14 7 24 16 16 15 15 8 11 10 15 9 NA 19 NA 10 9 10 15 25
#> [451] 10 6 13 13 NA 12 14 6 18 19 19 13 20 2 23 24 15 20 23 8 6 20 15 7 8
#> [476] 16 10 16 19 16 13 24 18 15 8 NA 16 7 12 NA 8 12 15 18 22 21 11 NA 15 NA
The get_camsa_score()
function computes the maximum CAMSA (Canadian Agility and Movement Skill Assessment) skill + time score for two trials and then divides by 2.8 so that the score is out of 10. This score is used to compute the physical literacy score.
$camsa_score <- get_camsa_score(
capl_demo_datacamsa_skill_time_score1 = capl_demo_data$camsa_skill_time_score1,
camsa_skill_time_score2 = capl_demo_data$camsa_skill_time_score2
)
$camsa_score
capl_demo_data#> [1] 5.357143 3.571429 9.285714 5.000000 6.785714 NA NA
#> [8] 7.857143 4.285714 8.571429 5.357143 8.571429 8.571429 9.285714
#> [15] 6.428571 9.285714 NA 6.428571 3.214286 3.571429 6.428571
#> [22] 5.714286 8.928571 7.500000 NA 8.571429 NA 8.214286
#> [29] 10.000000 2.857143 NA 5.714286 NA 8.571429 10.000000
#> [36] 7.500000 7.857143 6.428571 7.142857 6.428571 5.714286 NA
#> [43] 6.071429 5.714286 9.642857 2.142857 7.500000 8.214286 8.571429
#> [50] 7.857143 7.500000 10.000000 7.142857 7.142857 NA 4.285714
#> [57] 6.785714 6.428571 7.857143 6.428571 3.928571 4.285714 10.000000
#> [64] 5.714286 NA 7.500000 6.071429 NA 7.500000 NA
#> [71] NA NA NA 7.500000 6.071429 6.428571 6.428571
#> [78] 5.357143 NA 8.928571 NA NA NA 5.000000
#> [85] NA 7.142857 5.357143 NA 6.428571 3.214286 5.000000
#> [92] 5.357143 NA 5.000000 4.642857 9.642857 3.214286 7.857143
#> [99] 6.785714 NA NA 6.071429 8.571429 8.214286 4.642857
#> [106] 7.142857 6.071429 4.642857 6.071429 5.000000 9.285714 7.500000
#> [113] 7.500000 NA 5.000000 NA 7.500000 5.357143 8.928571
#> [120] 8.214286 6.785714 5.357143 5.000000 6.785714 7.857143 NA
#> [127] 7.500000 9.285714 NA 8.214286 6.071429 NA 8.928571
#> [134] 6.071429 NA NA NA 6.428571 NA NA
#> [141] 8.928571 NA 6.071429 9.285714 7.500000 9.642857 NA
#> [148] 4.285714 7.500000 8.214286 3.928571 NA 8.571429 3.928571
#> [155] 7.857143 3.928571 7.500000 5.000000 7.857143 NA NA
#> [162] NA 6.428571 8.571429 9.285714 NA 7.500000 3.214286
#> [169] 8.214286 8.571429 8.214286 6.428571 9.642857 NA 10.000000
#> [176] NA 6.785714 8.928571 8.928571 9.642857 4.285714 4.642857
#> [183] 4.285714 9.642857 8.928571 5.000000 8.928571 3.928571 9.285714
#> [190] 5.357143 6.428571 9.285714 7.857143 8.214286 4.285714 NA
#> [197] NA NA 7.142857 7.500000 5.714286 5.714286 4.285714
#> [204] 8.214286 5.357143 7.857143 5.714286 6.071429 8.928571 3.571429
#> [211] 6.428571 8.214286 5.714286 NA 3.571429 NA 6.785714
#> [218] 5.357143 NA 5.000000 10.000000 5.714286 2.500000 7.142857
#> [225] 6.785714 6.428571 7.857143 NA 5.714286 9.285714 NA
#> [232] 7.857143 7.500000 6.071429 6.428571 6.428571 6.785714 10.000000
#> [239] 7.500000 5.357143 NA NA 5.000000 7.500000 4.642857
#> [246] 9.642857 5.357143 5.000000 8.571429 9.285714 7.857143 NA
#> [253] 3.928571 3.571429 4.642857 NA 6.428571 8.214286 8.214286
#> [260] 2.500000 7.857143 5.000000 NA 7.857143 6.428571 NA
#> [267] 3.928571 8.214286 NA 10.000000 8.571429 7.857143 5.357143
#> [274] 5.357143 7.857143 NA 7.142857 6.428571 5.714286 5.714286
#> [281] 3.928571 6.785714 8.214286 6.785714 7.857143 5.714286 NA
#> [288] 4.285714 NA 6.785714 7.857143 7.500000 2.142857 7.500000
#> [295] 7.857143 6.785714 8.214286 8.214286 NA NA 9.285714
#> [302] 7.142857 2.857143 6.785714 4.642857 3.928571 4.285714 3.928571
#> [309] 7.500000 2.857143 NA 7.142857 8.928571 7.142857 NA
#> [316] 6.428571 3.928571 5.357143 6.428571 5.000000 3.928571 9.642857
#> [323] 6.071429 7.142857 10.000000 5.357143 6.785714 5.714286 7.500000
#> [330] 8.214286 8.571429 7.857143 NA 10.000000 7.142857 NA
#> [337] 3.214286 4.642857 NA 6.071429 6.428571 NA 8.214286
#> [344] NA 6.428571 3.571429 NA 3.928571 4.642857 7.857143
#> [351] 5.000000 3.214286 4.642857 6.071429 7.142857 8.928571 4.642857
#> [358] 7.142857 NA 10.000000 6.785714 6.071429 NA 7.500000
#> [365] NA 4.285714 8.214286 10.000000 NA 8.928571 7.500000
#> [372] 4.285714 5.357143 9.642857 6.071429 4.642857 7.142857 5.714286
#> [379] 5.714286 8.214286 8.214286 4.285714 9.642857 3.571429 7.142857
#> [386] 6.071429 NA 7.500000 7.500000 6.071429 8.214286 5.714286
#> [393] 4.285714 7.857143 8.928571 9.285714 6.785714 10.000000 NA
#> [400] 10.000000 5.000000 5.000000 8.214286 9.285714 5.000000 6.785714
#> [407] 2.857143 7.857143 3.214286 NA 9.285714 6.071429 3.928571
#> [414] 5.714286 7.500000 NA 9.285714 9.642857 6.428571 NA
#> [421] 6.785714 NA 3.928571 10.000000 9.285714 5.714286 6.428571
#> [428] 5.000000 5.357143 6.071429 5.000000 2.857143 8.571429 5.714286
#> [435] 6.071429 7.142857 7.500000 2.857143 3.928571 6.428571 NA
#> [442] 3.571429 NA 6.785714 NA 5.714286 7.142857 3.571429
#> [449] 8.928571 8.928571 NA NA 6.428571 4.642857 NA
#> [456] 7.142857 5.000000 6.071429 7.857143 9.285714 6.785714 NA
#> [463] 7.142857 6.071429 NA 8.571429 5.357143 7.142857 8.214286
#> [470] 9.285714 6.785714 7.142857 8.214286 5.357143 3.214286 5.714286
#> [477] 5.714286 5.714286 6.785714 5.714286 4.642857 8.571429 6.428571
#> [484] 5.357143 3.214286 NA 5.714286 5.357143 NA NA
#> [491] 2.857143 6.428571 5.357143 NA 7.857143 7.500000 7.857143
#> [498] NA 5.357143 NA
The get_capl_interpretation()
function computes an age- and gender-specific CAPL-2 interpretation for a given CAPL-2 protocol or domain score.
$camsa_interpretation <- get_capl_interpretation(
capl_demo_dataage = capl_demo_data$age,
gender = capl_demo_data$gender,
score = capl_demo_data$camsa_score,
protocol = "camsa"
)
$camsa_interpretation
capl_demo_data#> [1] "beginning" "beginning" "excelling" "beginning" "progressing"
#> [6] NA NA "progressing" "beginning" "excelling"
#> [11] NA "achieving" NA NA "progressing"
#> [16] "excelling" NA "progressing" "beginning" "beginning"
#> [21] "progressing" "beginning" "excelling" NA NA
#> [26] NA NA NA "excelling" "beginning"
#> [31] NA "beginning" NA NA "excelling"
#> [36] NA NA "progressing" "progressing" "progressing"
#> [41] "beginning" NA "progressing" "beginning" "excelling"
#> [46] "beginning" "progressing" "achieving" NA NA
#> [51] "achieving" "excelling" "progressing" "progressing" NA
#> [56] "beginning" "progressing" "progressing" "progressing" "progressing"
#> [61] "beginning" NA "excelling" "progressing" NA
#> [66] NA "progressing" NA NA NA
#> [71] NA NA NA "progressing" NA
#> [76] "progressing" NA "progressing" NA "achieving"
#> [81] NA NA NA "beginning" NA
#> [86] NA "beginning" NA "progressing" "beginning"
#> [91] "beginning" "beginning" NA NA NA
#> [96] "excelling" NA "achieving" "progressing" NA
#> [101] NA "beginning" "achieving" NA "beginning"
#> [106] "progressing" "progressing" "beginning" "progressing" "beginning"
#> [111] "excelling" "achieving" "progressing" NA "beginning"
#> [116] NA "progressing" "beginning" "achieving" "achieving"
#> [121] NA "beginning" "beginning" "progressing" "progressing"
#> [126] NA "progressing" NA NA "progressing"
#> [131] "progressing" NA "excelling" "beginning" NA
#> [136] NA NA "progressing" NA NA
#> [141] "excelling" NA "progressing" "excelling" "progressing"
#> [146] "excelling" NA NA "progressing" "progressing"
#> [151] "beginning" NA "progressing" "beginning" "progressing"
#> [156] "beginning" "progressing" "beginning" "excelling" NA
#> [161] NA NA "progressing" "excelling" NA
#> [166] NA "progressing" NA "achieving" "achieving"
#> [171] "progressing" "progressing" "excelling" NA "excelling"
#> [176] NA "progressing" NA NA "excelling"
#> [181] "beginning" NA "beginning" NA "achieving"
#> [186] "beginning" "excelling" "beginning" "excelling" NA
#> [191] "progressing" "achieving" "progressing" "progressing" NA
#> [196] NA NA NA "progressing" NA
#> [201] "beginning" "progressing" "beginning" "achieving" "beginning"
#> [206] "progressing" "progressing" "beginning" "achieving" NA
#> [211] NA "excelling" "beginning" NA "beginning"
#> [216] NA NA "progressing" NA "beginning"
#> [221] "excelling" "beginning" NA NA "progressing"
#> [226] "progressing" "achieving" NA "beginning" NA
#> [231] NA "progressing" "progressing" "beginning" "progressing"
#> [236] "progressing" "progressing" "excelling" "progressing" "beginning"
#> [241] NA NA NA NA NA
#> [246] "excelling" "beginning" NA NA "excelling"
#> [251] NA NA NA "beginning" "beginning"
#> [256] NA "progressing" "progressing" "progressing" NA
#> [261] "progressing" "beginning" NA "achieving" "progressing"
#> [266] NA "beginning" "progressing" NA "excelling"
#> [271] "excelling" "progressing" NA "beginning" "progressing"
#> [276] NA "progressing" "progressing" "beginning" "beginning"
#> [281] "beginning" NA "progressing" "progressing" "progressing"
#> [286] "beginning" NA "beginning" NA "progressing"
#> [291] "progressing" "progressing" "beginning" "progressing" NA
#> [296] "progressing" "excelling" "achieving" NA NA
#> [301] "excelling" "progressing" "beginning" "progressing" "beginning"
#> [306] "beginning" "beginning" NA NA "beginning"
#> [311] NA "progressing" "achieving" "progressing" NA
#> [316] "progressing" "beginning" "beginning" "progressing" NA
#> [321] "beginning" "excelling" "beginning" "progressing" "excelling"
#> [326] NA "progressing" "progressing" "progressing" "excelling"
#> [331] "achieving" "excelling" NA "excelling" "progressing"
#> [336] NA "beginning" "beginning" NA "beginning"
#> [341] NA NA "achieving" NA "progressing"
#> [346] "beginning" NA "beginning" "beginning" "progressing"
#> [351] NA NA "beginning" "progressing" "progressing"
#> [356] "excelling" NA "progressing" NA "excelling"
#> [361] NA "progressing" NA "progressing" NA
#> [366] "beginning" "achieving" "excelling" NA "excelling"
#> [371] "progressing" "beginning" "beginning" NA "progressing"
#> [376] "beginning" "progressing" NA NA "progressing"
#> [381] "progressing" "beginning" "excelling" "beginning" "progressing"
#> [386] "progressing" NA NA "achieving" "progressing"
#> [391] "excelling" "beginning" NA "achieving" "achieving"
#> [396] "excelling" "progressing" NA NA "excelling"
#> [401] NA "beginning" "excelling" "excelling" "beginning"
#> [406] "progressing" NA "achieving" "beginning" NA
#> [411] NA "progressing" "beginning" "beginning" "progressing"
#> [416] NA "excelling" "excelling" "progressing" NA
#> [421] "progressing" NA "beginning" "excelling" "excelling"
#> [426] "progressing" "progressing" "beginning" "beginning" "beginning"
#> [431] "beginning" "beginning" "achieving" NA "beginning"
#> [436] "progressing" "progressing" "beginning" "beginning" "progressing"
#> [441] NA "beginning" NA "progressing" NA
#> [446] "beginning" "progressing" "beginning" "achieving" NA
#> [451] NA NA NA "beginning" NA
#> [456] "progressing" "beginning" "beginning" "progressing" "excelling"
#> [461] NA NA "progressing" "progressing" NA
#> [466] "achieving" "beginning" NA NA NA
#> [471] "progressing" "progressing" NA "beginning" "beginning"
#> [476] "beginning" NA "beginning" "progressing" "beginning"
#> [481] NA "excelling" "progressing" NA "beginning"
#> [486] NA "beginning" NA NA NA
#> [491] "beginning" "progressing" "beginning" NA "achieving"
#> [496] "progressing" NA NA "beginning" NA
The get_pc_score()
function computes a physical competence domain score that ranges from zero to 30 based on the PACER (Progressive Aerobic Cardiovascular Endurance Run), plank and CAMSA (Canadian Agility and Movement Skill Assessment) scores. If one protocol score is missing or invalid, a weighted domain score will be computed from the other two protocol scores. This score is used to compute the physical competence domain score.
$pc_score <- get_pc_score(
capl_demo_datapacer_score = capl_demo_data$pacer_score,
plank_score = capl_demo_data$plank_score,
camsa_score = capl_demo_data$camsa_score
)
$pc_score
capl_demo_data#> [1] 19.5 24.0 15.0 22.0 30.0 16.5 9.0 30.0 9.0 NA 30.0 30.0 25.5 19.5 NA
#> [16] 30.0 30.0 30.0 15.0 30.0 30.0 22.5 19.5 28.5 13.5 30.0 30.0 15.0 30.0 22.5
#> [31] 15.0 1.5 22.5 19.5 25.0 30.0 21.0 24.0 30.0 15.0 24.0 30.0 15.0 30.0 27.0
#> [46] 24.0 15.0 30.0 15.0 30.0 21.0 29.0 30.0 30.0 30.0 30.0 18.0 30.0 30.0 30.0
#> [61] 30.0 27.0 20.0 25.5 21.0 30.0 3.0 28.5 15.0 24.0 NA 30.0 25.5 27.0 21.0
#> [76] 30.0 30.0 16.5 13.5 15.0 21.0 24.0 30.0 25.0 24.0 25.5 27.0 30.0 30.0 12.0
#> [91] 15.0 30.0 25.5 22.5 3.0 24.0 27.0 15.0 27.0 NA 21.0 30.0 15.0 30.0 15.0
#> [106] 15.0 28.5 30.0 19.5 16.0 30.0 22.5 30.0 27.0 11.0 30.0 25.5 30.0 24.0 15.0
#> [121] 30.0 30.0 15.0 30.0 30.0 24.0 30.0 30.0 30.0 30.0 22.5 30.0 18.0 30.0 15.0
#> [136] 30.0 25.5 15.0 30.0 25.5 15.0 30.0 NA 30.0 21.0 19.5 30.0 30.0 15.0 16.5
#> [151] 16.5 30.0 30.0 22.5 18.0 30.0 13.5 25.0 30.0 30.0 30.0 16.5 25.5 15.0 15.0
#> [166] 30.0 30.0 15.0 12.0 22.5 30.0 30.0 16.5 30.0 30.0 22.5 30.0 30.0 30.0 18.0
#> [181] 16.5 15.0 25.5 30.0 30.0 25.0 30.0 30.0 30.0 30.0 24.0 19.5 12.0 21.0 27.0
#> [196] 16.5 30.0 19.5 30.0 27.0 4.5 7.5 30.0 21.0 30.0 19.5 30.0 19.5 NA 15.0
#> [211] 30.0 13.5 25.5 30.0 30.0 NA 22.5 13.5 30.0 25.0 27.0 15.0 NA 30.0 13.5
#> [226] 30.0 30.0 28.5 18.0 21.0 NA 9.0 21.0 10.5 30.0 22.5 15.0 26.0 30.0 30.0
#> [241] 30.0 15.0 22.5 30.0 27.0 30.0 16.5 25.0 NA 30.0 30.0 30.0 18.0 30.0 15.0
#> [256] 30.0 30.0 27.0 NA 30.0 30.0 23.0 25.5 NA 30.0 19.5 9.0 30.0 30.0 24.0
#> [271] 19.5 30.0 30.0 28.5 19.5 21.0 21.0 30.0 30.0 30.0 30.0 22.5 27.0 30.0 30.0
#> [286] 30.0 30.0 16.5 24.0 30.0 27.0 30.0 15.0 30.0 25.5 18.0 30.0 15.0 30.0 30.0
#> [301] 15.0 22.5 30.0 24.0 30.0 30.0 30.0 30.0 30.0 27.0 24.0 30.0 30.0 22.5 12.0
#> [316] 25.5 27.0 30.0 30.0 25.0 30.0 30.0 NA 28.5 30.0 30.0 22.5 3.0 15.0 27.0
#> [331] 30.0 30.0 15.0 23.0 30.0 15.0 16.5 30.0 25.5 NA 15.0 30.0 30.0 30.0 30.0
#> [346] 30.0 30.0 15.0 15.0 30.0 25.0 30.0 30.0 28.5 28.5 18.0 30.0 30.0 30.0 27.0
#> [361] 28.5 30.0 15.0 28.5 28.5 24.0 15.0 14.0 NA 30.0 30.0 19.5 16.5 30.0 30.0
#> [376] 19.5 30.0 30.0 30.0 30.0 25.5 24.0 30.0 30.0 NA 30.0 30.0 NA 13.5 13.5
#> [391] 30.0 30.0 30.0 30.0 28.5 NA 18.0 30.0 19.5 24.0 22.0 20.0 28.5 30.0 25.0
#> [406] 15.0 30.0 30.0 30.0 30.0 30.0 30.0 24.0 21.0 30.0 15.0 30.0 21.0 30.0 27.0
#> [421] 18.0 7.5 19.5 30.0 12.0 30.0 30.0 23.0 30.0 24.0 22.5 30.0 19.5 30.0 27.0
#> [436] 30.0 30.0 30.0 30.0 16.5 12.0 NA 18.0 30.0 21.0 24.0 30.0 15.0 30.0 NA
#> [451] 30.0 18.0 28.5 27.0 21.0 30.0 18.0 30.0 24.0 13.5 7.5 22.5 30.0 21.0 18.0
#> [466] 3.0 19.5 28.5 NA 15.0 25.5 30.0 24.0 NA 19.5 15.0 18.0 30.0 30.0 27.0
#> [481] 30.0 18.0 NA 24.0 27.0 NA 18.0 19.5 30.0 19.5 24.0 21.0 30.0 30.0 21.0
#> [496] NA 30.0 18.0 30.0 13.5
The get_capl_interpretation()
function computes an age- and gender-specific CAPL-2 interpretation for a given CAPL-2 protocol or domain score.
$pc_interpretation <- get_capl_interpretation(
capl_demo_dataage = capl_demo_data$age,
gender = capl_demo_data$gender,
score = capl_demo_data$pc_score,
protocol = "pc"
)
$pc_interpretation
capl_demo_data#> [1] "achieving" "excelling" "progressing" "excelling" "excelling"
#> [6] "progressing" "beginning" "excelling" "beginning" NA
#> [11] NA "excelling" NA NA NA
#> [16] "excelling" "excelling" "excelling" "progressing" "excelling"
#> [21] "excelling" "excelling" "achieving" NA NA
#> [26] NA "excelling" NA "excelling" "achieving"
#> [31] "progressing" "beginning" "excelling" NA "excelling"
#> [36] NA NA "excelling" "excelling" "progressing"
#> [41] "excelling" "excelling" "progressing" "excelling" "excelling"
#> [46] "excelling" "progressing" "excelling" NA NA
#> [51] "excelling" "excelling" "excelling" "excelling" "excelling"
#> [56] "excelling" "progressing" "excelling" "excelling" "excelling"
#> [61] "excelling" NA "achieving" "excelling" "achieving"
#> [66] NA "beginning" "excelling" NA "excelling"
#> [71] NA "excelling" "excelling" "excelling" NA
#> [76] "excelling" NA "progressing" "beginning" "progressing"
#> [81] NA "excelling" "excelling" "excelling" "achieving"
#> [86] NA "excelling" "excelling" "excelling" "beginning"
#> [91] "progressing" "excelling" NA NA NA
#> [96] "excelling" NA "progressing" "excelling" NA
#> [101] "achieving" "excelling" "progressing" NA "progressing"
#> [106] "progressing" "excelling" "excelling" "progressing" "progressing"
#> [111] "excelling" "excelling" "excelling" NA "beginning"
#> [116] "excelling" "excelling" "excelling" "excelling" "progressing"
#> [121] NA "excelling" "progressing" "excelling" "excelling"
#> [126] NA "excelling" NA NA "excelling"
#> [131] "achieving" NA "progressing" "excelling" "progressing"
#> [136] "excelling" "excelling" "progressing" "excelling" "excelling"
#> [141] "progressing" "excelling" NA "excelling" "progressing"
#> [146] "achieving" NA NA "progressing" "progressing"
#> [151] "progressing" "excelling" "excelling" "achieving" "progressing"
#> [156] "excelling" "beginning" "excelling" "excelling" "excelling"
#> [161] NA "progressing" "excelling" "progressing" NA
#> [166] "excelling" "excelling" NA "beginning" "achieving"
#> [171] "excelling" "excelling" "progressing" "excelling" "excelling"
#> [176] "excelling" "excelling" NA NA "progressing"
#> [181] "progressing" NA "excelling" NA "excelling"
#> [186] "excelling" "excelling" "excelling" "excelling" NA
#> [191] "excelling" "progressing" "beginning" "progressing" NA
#> [196] "progressing" "excelling" "progressing" "excelling" NA
#> [201] "beginning" "beginning" "excelling" "achieving" "excelling"
#> [206] "achieving" "excelling" "progressing" NA NA
#> [211] NA "progressing" "excelling" "excelling" "excelling"
#> [216] NA NA "progressing" "excelling" "excelling"
#> [221] "excelling" "progressing" NA NA "beginning"
#> [226] "excelling" "excelling" NA "progressing" NA
#> [231] NA "beginning" "achieving" "beginning" "excelling"
#> [236] "excelling" "progressing" "excelling" "excelling" "excelling"
#> [241] "excelling" "progressing" NA NA NA
#> [246] "excelling" "progressing" NA NA "excelling"
#> [251] NA "excelling" NA "excelling" "progressing"
#> [256] "excelling" "excelling" "excelling" NA NA
#> [261] "excelling" "excelling" "excelling" NA "excelling"
#> [266] "achieving" "beginning" "excelling" "excelling" "excelling"
#> [271] "achieving" "excelling" NA "excelling" "progressing"
#> [276] "achieving" "progressing" "excelling" "excelling" "excelling"
#> [281] "excelling" NA "excelling" "excelling" "excelling"
#> [286] "excelling" "excelling" "progressing" "excelling" "excelling"
#> [291] "excelling" "excelling" "progressing" "excelling" NA
#> [296] "progressing" "excelling" "progressing" "excelling" "excelling"
#> [301] "progressing" "achieving" "excelling" "excelling" "excelling"
#> [306] "excelling" "excelling" NA NA "excelling"
#> [311] "excelling" "excelling" "excelling" "achieving" "beginning"
#> [316] "excelling" "excelling" "excelling" "excelling" NA
#> [321] "excelling" "excelling" NA "excelling" "excelling"
#> [326] NA "achieving" "beginning" "progressing" "excelling"
#> [331] "excelling" "excelling" "progressing" "achieving" "excelling"
#> [336] "beginning" "progressing" "excelling" "excelling" NA
#> [341] NA NA "excelling" "excelling" "excelling"
#> [346] "excelling" "excelling" "progressing" "progressing" "excelling"
#> [351] NA NA "excelling" "excelling" "excelling"
#> [356] "progressing" NA "excelling" "excelling" "excelling"
#> [361] NA "excelling" NA "excelling" "excelling"
#> [366] "excelling" "progressing" "progressing" NA "excelling"
#> [371] "excelling" "achieving" "progressing" NA "excelling"
#> [376] "progressing" "excelling" NA NA "excelling"
#> [381] "excelling" "excelling" "excelling" "excelling" NA
#> [386] "excelling" "excelling" NA "progressing" "beginning"
#> [391] "excelling" "excelling" NA "excelling" "excelling"
#> [396] NA "progressing" NA "progressing" "excelling"
#> [401] NA "achieving" "excelling" "excelling" "excelling"
#> [406] "progressing" NA "excelling" "excelling" "excelling"
#> [411] NA "excelling" "excelling" "achieving" "excelling"
#> [416] "progressing" "excelling" "excelling" "excelling" NA
#> [421] "progressing" "beginning" "achieving" "excelling" "beginning"
#> [426] "excelling" "excelling" "excelling" "excelling" "excelling"
#> [431] "excelling" "excelling" "progressing" NA "excelling"
#> [436] "excelling" "excelling" "excelling" "excelling" "progressing"
#> [441] "beginning" NA "progressing" "excelling" "achieving"
#> [446] "excelling" "excelling" "progressing" "excelling" NA
#> [451] "excelling" "progressing" NA "excelling" "excelling"
#> [456] "excelling" "progressing" "excelling" "excelling" "beginning"
#> [461] NA "excelling" "excelling" "achieving" NA
#> [466] "beginning" "progressing" NA NA NA
#> [471] "excelling" "excelling" NA NA "progressing"
#> [476] "progressing" NA "excelling" "excelling" "excelling"
#> [481] NA "progressing" NA NA "excelling"
#> [486] NA "progressing" NA "excelling" "progressing"
#> [491] "excelling" "achieving" "excelling" "excelling" "excelling"
#> [496] NA NA NA "excelling" "beginning"
The get_capl_domain_status()
function computes the status (“complete”, “missing interpretation”, “missing protocol” or “incomplete”) of a CAPL domain.
$pc_status <- get_capl_domain_status(
capl_demo_datax = capl_demo_data,
domain = "pc"
)
$pc_status
capl_demo_data#> [1] "complete" "complete" "complete"
#> [4] "complete" "complete" "missing protocol"
#> [7] "missing protocol" "complete" "complete"
#> [10] "incomplete" "missing interpretation" "complete"
#> [13] "missing interpretation" "missing interpretation" "incomplete"
#> [16] "complete" "missing protocol" "complete"
#> [19] "complete" "complete" "complete"
#> [22] "complete" "complete" "missing interpretation"
#> [25] "missing interpretation" "missing interpretation" "missing protocol"
#> [28] "missing interpretation" "complete" "complete"
#> [31] "missing protocol" "complete" "missing protocol"
#> [34] "missing interpretation" "complete" "missing interpretation"
#> [37] "missing interpretation" "complete" "complete"
#> [40] "complete" "complete" "missing protocol"
#> [43] "complete" "complete" "complete"
#> [46] "complete" "complete" "complete"
#> [49] "missing interpretation" "missing interpretation" "complete"
#> [52] "complete" "complete" "complete"
#> [55] "missing protocol" "complete" "complete"
#> [58] "complete" "complete" "complete"
#> [61] "complete" "missing interpretation" "complete"
#> [64] "complete" "missing protocol" "missing interpretation"
#> [67] "complete" "missing protocol" "missing interpretation"
#> [70] "missing protocol" "incomplete" "missing protocol"
#> [73] "missing protocol" "complete" "missing interpretation"
#> [76] "complete" "missing interpretation" "complete"
#> [79] "missing protocol" "complete" "missing interpretation"
#> [82] "missing protocol" "missing protocol" "complete"
#> [85] "missing protocol" "missing interpretation" "complete"
#> [88] "missing protocol" "complete" "complete"
#> [91] "complete" "complete" "missing interpretation"
#> [94] "missing interpretation" "missing interpretation" "complete"
#> [97] "missing interpretation" "complete" "complete"
#> [100] "incomplete" "missing protocol" "complete"
#> [103] "complete" "missing interpretation" "complete"
#> [106] "complete" "complete" "complete"
#> [109] "complete" "complete" "complete"
#> [112] "complete" "complete" "missing interpretation"
#> [115] "complete" "missing protocol" "complete"
#> [118] "complete" "complete" "complete"
#> [121] "missing interpretation" "complete" "complete"
#> [124] "complete" "complete" "missing interpretation"
#> [127] "complete" "missing interpretation" "missing interpretation"
#> [130] "complete" "complete" "missing interpretation"
#> [133] "complete" "complete" "missing protocol"
#> [136] "missing protocol" "missing protocol" "complete"
#> [139] "missing protocol" "missing protocol" "complete"
#> [142] "missing protocol" "incomplete" "complete"
#> [145] "complete" "complete" "missing interpretation"
#> [148] "missing interpretation" "complete" "complete"
#> [151] "complete" "missing protocol" "complete"
#> [154] "complete" "complete" "complete"
#> [157] "complete" "complete" "complete"
#> [160] "missing protocol" "missing interpretation" "missing protocol"
#> [163] "complete" "complete" "missing interpretation"
#> [166] "missing protocol" "complete" "missing interpretation"
#> [169] "complete" "complete" "complete"
#> [172] "complete" "complete" "missing protocol"
#> [175] "complete" "missing protocol" "complete"
#> [178] "missing interpretation" "missing interpretation" "complete"
#> [181] "complete" "missing interpretation" "complete"
#> [184] "missing interpretation" "complete" "complete"
#> [187] "complete" "complete" "complete"
#> [190] "missing interpretation" "complete" "complete"
#> [193] "complete" "complete" "missing interpretation"
#> [196] "missing protocol" "missing protocol" "missing protocol"
#> [199] "complete" "missing interpretation" "complete"
#> [202] "complete" "complete" "complete"
#> [205] "complete" "complete" "complete"
#> [208] "complete" "incomplete" "missing interpretation"
#> [211] "missing interpretation" "complete" "complete"
#> [214] "missing protocol" "complete" "incomplete"
#> [217] "missing interpretation" "complete" "missing protocol"
#> [220] "complete" "complete" "complete"
#> [223] "incomplete" "missing interpretation" "complete"
#> [226] "complete" "complete" "missing interpretation"
#> [229] "complete" "missing interpretation" "incomplete"
#> [232] "complete" "complete" "complete"
#> [235] "complete" "complete" "complete"
#> [238] "complete" "complete" "complete"
#> [241] "missing protocol" "missing protocol" "missing interpretation"
#> [244] "missing interpretation" "missing interpretation" "complete"
#> [247] "complete" "missing interpretation" "incomplete"
#> [250] "complete" "missing interpretation" "missing protocol"
#> [253] "missing interpretation" "complete" "complete"
#> [256] "missing protocol" "complete" "complete"
#> [259] "incomplete" "missing interpretation" "complete"
#> [262] "complete" "missing protocol" "incomplete"
#> [265] "complete" "missing protocol" "complete"
#> [268] "complete" "missing protocol" "complete"
#> [271] "complete" "complete" "missing interpretation"
#> [274] "complete" "complete" "missing protocol"
#> [277] "complete" "complete" "complete"
#> [280] "complete" "complete" "missing interpretation"
#> [283] "complete" "complete" "complete"
#> [286] "complete" "missing protocol" "complete"
#> [289] "missing protocol" "complete" "complete"
#> [292] "complete" "complete" "complete"
#> [295] "missing interpretation" "complete" "complete"
#> [298] "complete" "missing protocol" "missing protocol"
#> [301] "complete" "complete" "complete"
#> [304] "complete" "complete" "complete"
#> [307] "complete" "missing interpretation" "missing interpretation"
#> [310] "complete" "missing protocol" "complete"
#> [313] "complete" "complete" "missing protocol"
#> [316] "complete" "complete" "complete"
#> [319] "complete" "missing interpretation" "complete"
#> [322] "complete" "incomplete" "complete"
#> [325] "complete" "missing interpretation" "complete"
#> [328] "complete" "complete" "complete"
#> [331] "complete" "complete" "missing protocol"
#> [334] "complete" "complete" "missing protocol"
#> [337] "complete" "complete" "missing protocol"
#> [340] "incomplete" "missing interpretation" "missing interpretation"
#> [343] "complete" "missing protocol" "complete"
#> [346] "complete" "missing protocol" "complete"
#> [349] "complete" "complete" "missing interpretation"
#> [352] "missing interpretation" "complete" "complete"
#> [355] "complete" "complete" "missing interpretation"
#> [358] "complete" "missing protocol" "complete"
#> [361] "missing interpretation" "complete" "missing interpretation"
#> [364] "complete" "missing protocol" "complete"
#> [367] "complete" "complete" "incomplete"
#> [370] "complete" "complete" "complete"
#> [373] "complete" "missing interpretation" "complete"
#> [376] "complete" "complete" "missing interpretation"
#> [379] "missing interpretation" "complete" "complete"
#> [382] "complete" "complete" "complete"
#> [385] "incomplete" "complete" "missing protocol"
#> [388] "incomplete" "complete" "complete"
#> [391] "complete" "complete" "missing interpretation"
#> [394] "complete" "complete" "incomplete"
#> [397] "complete" "missing interpretation" "missing protocol"
#> [400] "complete" "missing interpretation" "complete"
#> [403] "complete" "complete" "complete"
#> [406] "complete" "missing interpretation" "complete"
#> [409] "complete" "missing protocol" "missing interpretation"
#> [412] "complete" "complete" "complete"
#> [415] "complete" "missing protocol" "complete"
#> [418] "complete" "complete" "missing interpretation"
#> [421] "complete" "missing protocol" "complete"
#> [424] "complete" "complete" "complete"
#> [427] "complete" "complete" "complete"
#> [430] "complete" "missing protocol" "complete"
#> [433] "complete" "missing interpretation" "complete"
#> [436] "complete" "complete" "complete"
#> [439] "complete" "complete" "missing protocol"
#> [442] "incomplete" "missing protocol" "complete"
#> [445] "missing protocol" "complete" "complete"
#> [448] "complete" "complete" "incomplete"
#> [451] "missing protocol" "missing protocol" "missing interpretation"
#> [454] "complete" "missing protocol" "complete"
#> [457] "complete" "complete" "complete"
#> [460] "complete" "missing interpretation" "missing protocol"
#> [463] "complete" "complete" "missing interpretation"
#> [466] "complete" "complete" "missing interpretation"
#> [469] "incomplete" "missing interpretation" "complete"
#> [472] "complete" "missing interpretation" "incomplete"
#> [475] "complete" "complete" "missing interpretation"
#> [478] "complete" "complete" "complete"
#> [481] "missing interpretation" "complete" "incomplete"
#> [484] "missing interpretation" "complete" "incomplete"
#> [487] "complete" "missing interpretation" "missing protocol"
#> [490] "missing protocol" "complete" "complete"
#> [493] "complete" "missing protocol" "complete"
#> [496] "incomplete" "missing interpretation" "missing interpretation"
#> [499] "complete" "missing protocol"
As illustrated in the CAPL-2 manual on page 43, the formula for computing the daily behaviour score is:
The get_step_average()
function computes the daily arithmetic mean of a week of steps taken as measured by a pedometer. This variable is used to compute the step score.
<- get_step_average(capl_demo_data) step_df
The get_step_average()
function returns a data frame with nine columns: steps1
(validated), steps2
(validated), steps3
(validated), steps4
(validated), steps5
(validated), steps6
(validated), steps7
(validated), valid_days
and step_average
.
str(step_df)
#> 'data.frame': 500 obs. of 9 variables:
#> $ day1 : num NA NA 8457 8769 14169 ...
#> $ day2 : num 14905 24750 NA 21077 15786 ...
#> $ day3 : num 21972 NA 14130 NA 18022 ...
#> $ day4 : num 28084 27369 14315 NA 6993 ...
#> $ day5 : num 14858 21112 16880 11707 20917 ...
#> $ day6 : num 17705 NA NA 12235 27766 ...
#> $ day7 : num 11067 13540 12106 18795 15039 ...
#> $ valid_days : int 6 4 5 5 7 6 7 7 6 6 ...
#> $ step_average: num 18098 21693 13178 14517 16956 ...
# Add the step average to the dataset
$step_average <- step_df$step_average capl_demo_data
$step_average
capl_demo_data#> [1] 18098 21693 13178 14517 16956 15255 16964 11217 15484 16110 20592 9690
#> [13] 13268 13716 8191 17137 17574 15004 17104 14797 14610 24677 16391 15780
#> [25] 16702 18576 14723 16389 16886 15383 16193 16330 12529 15559 13823 16122
#> [37] 19027 20663 21974 16912 13020 20361 16285 21868 15697 11545 10465 17299
#> [49] 14989 9863 19244 22727 17715 13539 16811 19710 10736 16569 19995 13647
#> [61] 18848 13814 10218 21350 14978 15590 6361 14599 22695 12641 17406 10669
#> [73] 15582 13489 13568 15639 13953 7900 19802 14654 20254 18182 13025 14514
#> [85] 10707 25060 20010 21873 11736 18536 14424 13681 14932 18933 20833 19984
#> [97] 18067 16457 21822 19952 17070 15288 16932 19190 16497 10412 9214 21416
#> [109] NA 16792 21003 8517 24588 20734 13038 10231 17390 14517 11564 12506
#> [121] 18186 20292 17081 13962 13002 15281 9442 16720 10978 11025 12416 17754
#> [133] 17656 10830 16926 20410 14165 13581 15660 10031 12806 20440 13859 12895
#> [145] 13131 9794 14935 18777 16560 21703 15542 12448 15735 12854 15492 16158
#> [157] 20797 16280 10846 13008 12519 21301 19390 12013 19271 11710 20024 15647
#> [169] 13470 15133 15455 6679 15250 11733 21197 17131 15377 16228 15514 17054
#> [181] 11054 14622 18215 22245 15154 19286 17874 19452 15051 15455 16223 10900
#> [193] 15504 10904 15651 15672 17107 13278 16124 11700 10986 12394 5526 17145
#> [205] 15458 21334 16975 13980 22788 13218 17619 15488 18055 17709 11221 20540
#> [217] 15558 14409 22929 15188 11765 16214 11653 20103 19882 24944 13224 10434
#> [229] 13530 19901 13603 23764 14626 19212 18186 15367 14699 12987 12979 17466
#> [241] 14087 11483 16421 12656 14614 21342 17563 21506 20663 19230 6054 2280
#> [253] 15275 21944 15956 18803 16381 11282 17272 22902 16621 21538 14090 15144
#> [265] 14745 13032 19488 13956 16619 14545 15343 11870 19157 14566 12099 14641
#> [277] 21261 12676 19716 15153 11536 12206 11616 17668 14000 24221 14048 14983
#> [289] 15818 26126 12244 13075 10264 21508 13663 15535 12026 12761 12248 18646
#> [301] 15459 13882 14996 17236 16931 15535 14902 16595 15692 14539 17792 10528
#> [313] 21894 13114 17564 11152 22355 17309 11579 19259 18059 14895 17952 20605
#> [325] 18228 10123 11284 13554 13303 18500 13068 13104 16568 17231 14496 18329
#> [337] 9947 20183 14487 11510 11294 16538 12374 9054 11935 17584 22263 21393
#> [349] 13270 20137 11032 19895 8748 14279 12489 19476 19589 18572 13854 16693
#> [361] 11491 18314 12170 19404 21197 23778 18640 14086 14594 20747 9159 15035
#> [373] 10229 17469 9294 20226 13583 12374 10885 15218 16800 16694 16970 14550
#> [385] 12258 17515 14217 11534 16298 19232 15553 21769 12932 18151 20086 9918
#> [397] 21949 15640 14784 19257 13335 18618 17632 18024 18093 13893 18123 16063
#> [409] 23877 11390 17165 22555 13149 14000 14632 15251 13901 13374 13730 16041
#> [421] 16543 17495 9958 14111 9894 22753 8383 13447 20485 24139 12936 18992
#> [433] 16957 14689 21986 17339 12221 16741 21873 19108 18786 19947 6965 15939
#> [445] 15646 16810 17381 18823 21679 11727 14030 14564 22617 17374 9160 17795
#> [457] 18040 17581 21522 18729 18099 23789 18247 13884 14097 10900 10825 8290
#> [469] 19582 15074 11479 17604 20390 18418 16515 10071 10902 14446 14509 13289
#> [481] 18030 18891 16851 10817 13964 22037 20584 13780 12073 15555 13787 8145
#> [493] 12491 19809 13038 10937 17173 16145 14578 21167
There must be at least four valid days of pedometer step counts for an arithmetic mean to be computed. If there are less than four valid days, one of the step values from a valid day will be randomly sampled and used for the fourth valid day before computing the mean. Other important capl
functions called by the get_step_average()
function include: get_pedometer_wear_time()
and validate_steps()
.
<- get_pedometer_wear_time(
wear_time1 time_on = capl_demo_data$time_on1,
time_off = capl_demo_data$time_off1,
non_wear_time = capl_demo_data$non_wear_time1
)
wear_time1#> [1] 16.37 NA 14.33 15.37 14.12 14.67 17.50 17.83 15.13 NA 13.15 17.42
#> [13] 14.88 NA 14.75 14.13 17.68 13.30 15.38 13.07 16.67 13.88 15.32 17.53
#> [25] 15.00 14.67 NA 16.35 NA 13.68 15.45 15.65 14.85 NA 16.67 NA
#> [37] 17.80 16.90 16.85 13.78 15.03 12.85 14.25 11.37 14.52 16.33 16.67 16.33
#> [49] 15.08 15.83 13.90 17.23 11.72 NA 15.80 16.48 12.97 13.22 13.37 13.92
#> [61] 14.32 17.62 16.62 11.60 13.12 18.40 14.20 NA 12.12 15.93 14.75 14.23
#> [73] 17.40 12.92 14.63 17.65 14.48 14.25 NA 16.42 17.03 14.58 15.33 16.82
#> [85] 12.95 14.45 16.77 NA 12.15 17.43 NA 16.97 18.52 NA 17.42 15.60
#> [97] 17.65 13.80 NA 13.63 13.83 11.72 16.85 12.80 14.77 16.88 14.93 16.60
#> [109] NA 14.38 16.12 15.15 12.60 16.98 13.72 12.50 14.80 13.23 16.27 NA
#> [121] 14.88 12.07 NA 15.67 14.38 18.03 14.98 NA NA NA NA 14.70
#> [133] 13.38 13.57 17.57 NA 14.62 15.75 15.50 12.35 14.82 13.53 15.78 12.68
#> [145] 14.95 15.60 15.73 13.82 NA NA 18.05 16.48 13.37 11.93 NA 13.67
#> [157] 13.98 14.73 NA 13.88 13.10 14.03 17.20 13.97 15.43 17.90 NA 13.25
#> [169] 15.82 11.52 14.62 14.43 15.33 12.88 14.02 16.43 15.85 14.37 13.20 15.48
#> [181] 17.72 13.87 14.57 15.15 16.58 11.85 NA 15.72 NA 11.60 16.22 17.57
#> [193] 15.50 17.75 15.32 16.37 11.05 16.40 15.63 14.50 NA NA NA 15.25
#> [205] NA 17.03 15.15 14.87 15.03 15.58 17.18 15.73 12.63 11.20 17.53 16.60
#> [217] 18.72 15.95 14.08 NA 17.73 14.37 NA 12.77 14.80 13.78 16.18 16.10
#> [229] 11.00 NA 16.48 NA 15.83 14.18 13.43 14.17 15.78 NA 14.28 18.58
#> [241] 17.18 NA NA 15.50 15.15 17.73 13.43 15.07 NA 14.60 13.42 NA
#> [253] 13.33 NA 13.50 13.13 14.95 14.52 NA NA 11.98 NA 12.87 12.87
#> [265] 14.88 15.83 NA 13.90 NA 16.32 13.33 11.70 15.10 16.12 12.23 NA
#> [277] 16.30 14.52 16.98 12.57 14.53 14.35 16.87 NA NA NA 13.85 NA
#> [289] NA 14.98 14.12 16.23 13.80 16.85 16.70 14.40 14.28 15.73 13.00 NA
#> [301] 17.08 16.78 11.98 16.72 NA 12.08 16.02 14.35 16.63 15.83 16.40 15.57
#> [313] NA 11.22 14.68 14.55 13.68 NA 16.78 15.90 15.50 14.38 16.48 15.33
#> [325] 14.80 NA 14.60 14.50 NA 17.48 12.62 16.80 14.27 13.48 14.77 16.48
#> [337] 11.30 17.17 NA 16.92 15.98 15.75 12.73 15.97 14.23 13.87 14.08 14.63
#> [349] 12.32 NA 17.48 16.18 15.20 NA 15.38 17.57 13.52 15.20 16.35 17.00
#> [361] 14.33 16.78 NA NA NA 15.77 12.68 16.65 14.23 NA 18.70 17.55
#> [373] NA 17.08 NA 16.82 13.53 12.95 16.58 15.92 NA 14.65 12.93 16.67
#> [385] NA 12.92 NA 13.28 12.17 17.73 14.87 17.62 16.97 15.18 14.02 16.58
#> [397] 12.98 14.98 12.38 NA 12.53 15.05 12.85 12.68 18.63 NA NA 14.55
#> [409] NA 13.07 12.93 11.20 NA 17.72 16.55 13.75 17.17 16.50 NA 14.92
#> [421] 14.77 15.90 11.30 12.18 17.85 NA NA NA 15.92 14.42 16.80 15.10
#> [433] 12.40 15.55 14.67 14.52 12.18 14.17 NA 16.95 15.73 NA 17.12 11.12
#> [445] NA NA 12.38 13.60 17.98 16.13 12.97 NA NA NA 11.87 17.23
#> [457] NA NA 13.72 NA 15.18 11.52 15.80 15.43 18.13 NA 15.57 15.47
#> [469] 16.27 NA NA 16.00 NA 12.88 15.53 14.67 12.35 17.17 12.88 NA
#> [481] 15.72 17.53 17.30 12.12 NA 13.93 16.88 16.00 16.78 NA 17.48 NA
#> [493] NA 14.40 17.60 NA 15.53 14.42 16.65 15.70
<- validate_steps(
valid_steps1 steps = capl_demo_data$steps1,
wear_time = wear_time1
)
valid_steps1#> [1] NA NA 8457 8769 14169 9610 29459 17112 NA NA 17248 3355
#> [13] 24598 NA 4461 6802 22886 11359 4443 16024 29259 27647 16084 12621
#> [25] 12268 7801 NA 27912 NA 5187 28325 5421 2613 NA 3454 NA
#> [37] 18392 18727 NA 14350 19843 28909 4376 25920 29033 12001 17053 28658
#> [49] 2654 3741 9344 14136 24615 NA 23746 18382 16108 9054 10055 27796
#> [61] 17747 1763 12925 22616 15816 27087 7309 NA 17448 24552 20614 22613
#> [73] 9529 16273 23094 18946 4248 14276 NA 8050 27450 26960 23030 9955
#> [85] 10805 23610 11304 NA 23266 23257 NA 11618 25138 NA 20026 6435
#> [97] 12730 21297 NA 21832 11803 29608 9771 29072 24700 10064 20255 2574
#> [109] NA 8968 25059 16861 17717 2933 8631 10052 25598 22404 5771 NA
#> [121] 19275 12241 NA 9876 12956 14995 15330 NA NA NA NA 29222
#> [133] 25634 2212 22617 NA 11412 15123 15144 5547 NA 19113 13972 7991
#> [145] NA 10375 1487 4610 NA NA 24894 28248 10492 27681 NA 26918
#> [157] 22202 19509 NA 4831 21458 22153 1277 9399 12211 1709 NA 15369
#> [169] 4175 16306 27112 4078 20565 24711 16097 NA 2416 24568 3387 22382
#> [181] 2571 8689 27157 23069 9768 24245 NA 14105 NA 18393 27233 2433
#> [193] 25977 13148 23821 17737 9255 4616 NA 12644 NA NA NA 11922
#> [205] NA 24112 22514 17337 28116 11817 24501 11422 27920 29562 15346 18906
#> [217] 24028 6226 19006 NA 8578 2110 NA 26168 20885 29012 12072 4059
#> [229] 10583 NA 14613 NA 2518 8609 18923 29152 1335 NA 6236 21048
#> [241] 14819 NA NA 20525 1524 26867 29430 29949 NA 24522 1407 NA
#> [253] 3091 NA 15889 20661 20235 11786 NA NA 17704 NA 5859 16473
#> [265] 19092 16722 NA 1025 NA 11434 1645 8725 10888 19349 2579 NA
#> [277] 29827 23035 2570 4377 12958 13633 7419 NA NA NA 6789 NA
#> [289] NA 25115 9296 9582 3111 5645 12385 NA 18477 15522 19293 NA
#> [301] 24930 NA 23988 10699 NA 17989 4296 9965 24623 9071 13743 11185
#> [313] NA 13911 27755 13981 21713 NA 1790 23566 11741 12946 1162 11789
#> [325] 7385 NA 25919 11325 NA 23274 6820 16954 26854 13293 11647 25737
#> [337] 1360 2619 NA 19230 5023 6494 26222 8219 24639 NA 22748 NA
#> [349] 8809 NA 8962 18175 3237 NA 14791 23667 7614 29533 3897 22083
#> [361] 5798 12271 NA NA NA 25454 26928 7478 17362 NA 15231 12015
#> [373] NA 23843 NA 21514 14268 14929 12130 18649 NA 20391 17395 NA
#> [385] NA 19777 NA 22014 7361 16064 11599 10858 13855 24319 27075 3224
#> [397] 18233 17462 2574 NA 13808 18686 27388 29431 4089 NA NA 15614
#> [409] NA 4991 12633 22834 NA 8554 22825 18769 18711 12104 NA 20605
#> [421] 24985 6319 7926 12298 1281 NA NA NA 19007 24157 19259 11413
#> [433] 22736 29065 17238 25556 18052 27474 NA 16903 10419 NA 1678 20988
#> [445] NA NA 10910 29527 24740 26121 14034 NA NA NA 6455 14804
#> [457] NA NA 29519 NA 24277 22596 11441 23665 7938 NA NA 4701
#> [469] 23842 NA NA 3756 NA 9932 2995 3342 1541 25320 28031 NA
#> [481] 3022 26496 18121 16197 NA 27060 28411 26595 26752 NA 10457 NA
#> [493] NA 27567 27648 NA 17103 5439 22349 28614
The get_step_score()
function computes a step score that ranges from zero to 25 based on the average daily steps taken as measured by a pedometer. This score is used to compute the daily behaviour domain score.
$step_score <- get_step_score(capl_demo_data$step_average) capl_demo_data
$step_score
capl_demo_data#> [1] 25 25 19 21 23 22 23 15 22 23 25 12 19 20 9 24 24 22 24 21 21 25 23 22 23
#> [26] 25 21 23 23 22 23 23 18 22 20 23 25 25 25 23 19 25 23 25 22 16 13 24 21 12
#> [51] 25 25 24 20 23 25 14 23 25 20 25 20 13 25 21 22 5 21 25 18 24 14 22 19 20
#> [76] 22 20 8 25 21 25 25 19 21 14 25 25 25 16 25 21 20 21 25 25 25 25 23 25 25
#> [101] 24 22 23 25 23 13 11 25 NA 23 25 10 25 25 19 13 24 21 16 18 25 25 24 20 19
#> [126] 22 11 23 14 15 17 24 24 14 23 25 21 20 22 13 18 25 20 18 19 12 21 25 23 25
#> [151] 22 17 22 18 22 23 25 23 14 19 18 25 25 17 25 16 25 22 19 22 22 6 22 16 25
#> [176] 24 22 23 22 24 15 21 25 25 22 25 24 25 22 22 23 14 22 14 22 22 24 19 23 16
#> [201] 14 17 4 24 22 25 23 20 25 19 24 22 25 24 15 25 22 21 25 22 16 23 16 25 25
#> [226] 25 19 13 20 25 20 25 21 25 25 22 21 18 18 24 21 15 23 18 21 25 24 25 25 25
#> [251] 5 1 22 25 22 25 23 15 24 25 23 25 21 22 21 19 25 20 23 21 22 16 25 21 17
#> [276] 21 25 18 25 22 16 17 16 24 21 25 21 21 22 25 17 19 13 25 20 22 17 18 17 25
#> [301] 22 20 21 24 23 22 21 23 22 21 24 14 25 19 24 15 25 24 16 25 25 21 24 25 25
#> [326] 13 15 20 19 25 19 19 23 24 21 25 12 25 21 16 15 23 17 11 16 24 25 25 19 25
#> [351] 15 25 10 21 17 25 25 25 20 23 15 25 17 25 25 25 25 21 21 25 11 22 13 24 11
#> [376] 25 20 17 14 22 23 23 23 21 17 24 21 16 23 25 22 25 18 25 25 12 25 22 21 25
#> [401] 19 25 24 25 25 20 25 23 25 15 24 25 19 21 21 22 20 19 20 23 23 24 12 21 12
#> [426] 25 9 19 25 25 18 25 23 21 25 24 17 23 25 25 25 25 6 22 22 23 24 25 25 16
#> [451] 21 21 25 24 11 24 25 24 25 25 25 25 25 20 21 14 14 9 25 22 15 24 25 25 23
#> [476] 13 14 21 21 19 25 25 23 14 20 25 25 20 17 22 20 9 17 25 19 14 24 23 21 25
The get_self_report_pa()
function computes a score that ranges from zero to five based on the response to “During the past week (7 days), on how many days were you physically active for a total of at least 60 minutes per day (all the time you spent in activities that increased your heart rate and made you breathe hard)?” in the CAPL-2 Questionnaire. This score is used to compute the daily behaviour domain score.
$self_report_pa_score <- get_self_report_pa_score(capl_demo_data$self_report_pa) capl_demo_data
$self_report_pa_score
capl_demo_data#> [1] NA 1 1 3 2 4 NA 5 5 5 NA 3 1 4 5 5 0 5 5 5 5 5 5 NA 5
#> [26] 3 4 5 4 1 2 0 5 5 5 5 4 3 4 2 4 5 5 5 2 5 5 NA 5 5
#> [51] 1 5 3 1 0 5 3 2 5 1 2 0 5 NA 3 5 4 0 3 NA 5 4 1 NA 0
#> [76] 5 0 2 0 NA 5 5 1 1 3 3 5 2 5 4 5 5 4 3 1 4 2 1 5 5
#> [101] 5 2 1 4 3 2 5 5 3 2 2 5 5 5 2 NA 5 1 5 5 NA 5 5 1 0
#> [126] 4 5 4 0 0 5 4 5 0 5 5 5 5 2 5 5 5 2 5 1 3 5 5 NA 5
#> [151] 5 0 2 1 0 5 3 3 2 0 5 1 5 4 0 3 5 5 3 5 5 5 0 5 4
#> [176] NA 5 5 4 5 3 4 3 0 2 1 5 3 0 5 1 5 5 5 5 0 2 3 0 1
#> [201] 0 1 5 5 5 2 5 3 4 2 5 5 5 5 2 5 5 1 0 1 5 4 1 5 3
#> [226] 4 3 5 0 5 2 5 0 NA 5 3 3 NA 2 0 4 5 5 5 5 4 0 3 3 2
#> [251] 4 5 5 5 5 3 0 4 5 1 5 0 0 5 1 1 1 3 4 0 3 2 4 0 4
#> [276] 5 0 5 3 2 3 3 5 5 3 5 4 3 3 0 4 NA 5 2 5 3 5 5 1 2
#> [301] 5 5 2 5 5 NA 5 5 NA 5 5 4 1 5 3 5 0 5 0 3 2 0 3 0 0
#> [326] 3 1 4 5 5 1 5 5 5 5 1 3 0 1 5 4 5 3 0 3 0 4 1 NA 2
#> [351] 1 0 5 5 5 1 1 3 2 2 5 4 0 3 5 5 3 5 5 5 5 5 1 5 5
#> [376] 5 2 NA 4 0 5 1 2 5 5 5 5 2 1 5 0 5 2 5 5 5 0 NA 5 5
#> [401] 0 4 5 5 3 0 4 1 5 NA 2 NA 1 1 3 5 5 2 3 5 5 5 4 0 0
#> [426] 5 4 4 5 3 5 NA 0 1 5 2 4 1 5 4 5 0 3 5 NA 4 3 4 4 4
#> [451] 0 3 NA 5 5 3 1 5 5 5 5 1 3 2 5 0 5 1 0 2 0 2 5 5 3
#> [476] 1 5 5 1 2 4 5 4 5 3 1 2 5 5 2 1 5 5 3 5 5 NA 0 2 NA
The get_db_score()
function computes a daily behaviour domain score that ranges from zero to 30 based on the step and self-reported physical activity scores. This score is used to compute the overall physical literacy score.
$db_score <- get_db_score(
capl_demo_datastep_score = capl_demo_data$step_score,
self_report_pa_score = capl_demo_data$self_report_pa_score
)
$db_score
capl_demo_data#> [1] NA 26 20 24 25 26 NA 20 27 28 NA 15 20 24 14 29 24 27 29 26 26 30 28 NA 28
#> [26] 28 25 28 27 23 25 23 23 27 25 28 29 28 29 25 23 30 28 30 24 21 18 NA 26 17
#> [51] 26 30 27 21 23 30 17 25 30 21 27 20 18 NA 24 27 9 21 28 NA 29 18 23 NA 20
#> [76] 27 20 10 25 NA 30 30 20 22 17 28 30 27 21 29 26 25 25 28 26 29 27 24 30 30
#> [101] 29 24 24 29 26 15 16 30 NA 25 27 15 30 30 21 NA 29 22 21 23 NA 30 29 21 19
#> [126] 26 16 27 14 15 22 28 29 14 28 30 26 25 24 18 23 30 22 23 20 15 26 30 NA 30
#> [151] 27 17 24 19 22 28 28 26 16 19 23 26 30 21 25 19 30 27 22 27 27 11 22 21 29
#> [176] NA 27 28 26 29 18 25 28 25 24 26 29 28 22 27 24 19 27 19 27 22 26 22 23 17
#> [201] 14 18 9 29 27 27 28 23 29 21 29 27 30 29 17 30 27 22 25 23 21 27 17 30 28
#> [226] 29 22 18 20 30 22 30 21 NA 30 25 24 NA 20 24 25 20 28 23 26 29 24 28 28 27
#> [251] 9 6 27 30 27 28 23 19 29 26 28 25 21 27 22 20 26 23 27 21 25 18 29 21 21
#> [276] 26 25 23 28 24 19 20 21 29 24 30 25 24 25 25 21 NA 18 27 25 25 22 23 18 27
#> [301] 27 25 23 29 28 NA 26 28 NA 26 29 18 26 24 27 20 25 29 16 28 27 21 27 25 25
#> [326] 16 16 24 24 30 20 24 28 29 26 26 15 25 22 21 19 28 20 11 19 24 29 26 NA 27
#> [351] 16 25 15 26 22 26 26 28 22 25 20 29 17 28 30 30 28 26 26 30 16 27 14 29 16
#> [376] 30 22 NA 18 22 28 24 25 26 22 29 26 18 24 30 22 30 20 30 30 17 25 NA 26 30
#> [401] 19 29 29 30 28 20 29 24 30 NA 26 NA 20 22 24 27 25 21 23 28 28 29 16 21 12
#> [426] 30 13 23 30 28 23 NA 23 22 30 26 21 24 30 29 30 25 9 27 NA 27 27 29 29 20
#> [451] 21 24 NA 29 16 27 26 29 30 30 30 26 28 22 26 14 19 10 25 24 15 26 30 30 26
#> [476] 14 19 26 22 21 29 30 27 19 23 26 27 25 22 24 21 14 22 28 24 19 NA 23 23 NA
The get_capl_interpretation()
function computes an age- and gender-specific CAPL-2 interpretation for a given CAPL-2 protocol or domain score.
$db_interpretation <- get_capl_interpretation(
capl_demo_dataage = capl_demo_data$age,
gender = capl_demo_data$gender,
score = capl_demo_data$db_score,
protocol = "db"
)
$db_interpretation
capl_demo_data#> [1] NA "achieving" "progressing" "achieving" "achieving"
#> [6] "achieving" NA "progressing" "excelling" "excelling"
#> [11] NA "progressing" NA NA "progressing"
#> [16] "excelling" "achieving" "excelling" "excelling" "excelling"
#> [21] "achieving" "excelling" "excelling" NA NA
#> [26] NA "excelling" NA "excelling" "achieving"
#> [31] "achieving" "achieving" "achieving" NA "excelling"
#> [36] NA NA "excelling" "excelling" "achieving"
#> [41] "achieving" "excelling" "excelling" "excelling" "achieving"
#> [46] "progressing" "progressing" NA NA NA
#> [51] "achieving" "excelling" "excelling" "progressing" "achieving"
#> [56] "excelling" "progressing" "achieving" "excelling" "achieving"
#> [61] "excelling" NA "progressing" NA "achieving"
#> [66] NA "progressing" "progressing" NA NA
#> [71] "excelling" "progressing" "achieving" NA NA
#> [76] "excelling" NA "beginning" "achieving" NA
#> [81] NA "excelling" "progressing" "progressing" "progressing"
#> [86] NA "excelling" "excelling" "progressing" "excelling"
#> [91] "achieving" "achieving" NA NA NA
#> [96] "excelling" NA "achieving" "excelling" "excelling"
#> [101] "excelling" "achieving" "achieving" NA "achieving"
#> [106] "progressing" "progressing" "excelling" NA "achieving"
#> [111] "excelling" "progressing" "excelling" NA "progressing"
#> [116] NA "excelling" "progressing" "progressing" "achieving"
#> [121] NA "excelling" "excelling" "progressing" "progressing"
#> [126] NA "progressing" NA NA "progressing"
#> [131] "progressing" NA "excelling" "progressing" "excelling"
#> [136] "excelling" "achieving" "achieving" "achieving" "progressing"
#> [141] "achieving" "excelling" "progressing" "achieving" "progressing"
#> [146] "progressing" NA NA NA "excelling"
#> [151] "excelling" "progressing" "achieving" "progressing" "achieving"
#> [156] "excelling" "excelling" "excelling" "progressing" "progressing"
#> [161] NA "achieving" "excelling" "progressing" NA
#> [166] "progressing" "excelling" NA "progressing" "excelling"
#> [171] "excelling" "progressing" "progressing" "achieving" "excelling"
#> [176] NA "excelling" NA NA "excelling"
#> [181] "progressing" NA "excelling" NA "achieving"
#> [186] "achieving" "excelling" "excelling" "achieving" NA
#> [191] "achieving" "progressing" "excelling" "progressing" NA
#> [196] "achieving" "achieving" "progressing" "achieving" NA
#> [201] "progressing" "progressing" "progressing" "excelling" "excelling"
#> [206] "excelling" "excelling" "achieving" "excelling" NA
#> [211] NA "excelling" "excelling" "excelling" "progressing"
#> [216] "excelling" NA "achieving" "achieving" "achieving"
#> [221] "achieving" "excelling" NA NA "excelling"
#> [226] "excelling" "achieving" NA "progressing" NA
#> [231] "progressing" "excelling" "progressing" NA "excelling"
#> [236] "achieving" "achieving" NA "progressing" "achieving"
#> [241] "achieving" "progressing" NA NA NA
#> [246] "excelling" "achieving" NA NA "excelling"
#> [251] NA "beginning" NA "excelling" "excelling"
#> [256] "excelling" "achieving" "progressing" "excelling" NA
#> [261] "excelling" "achieving" "achieving" "excelling" "achieving"
#> [266] "progressing" "achieving" "achieving" "excelling" "progressing"
#> [271] "achieving" "progressing" NA "achieving" "achieving"
#> [276] "achieving" "achieving" "achieving" "excelling" "achieving"
#> [281] "progressing" NA "achieving" "excelling" "achieving"
#> [286] "excelling" "achieving" "achieving" "excelling" "excelling"
#> [291] "achieving" NA "progressing" "excelling" NA
#> [296] "achieving" "achieving" "achieving" "progressing" "excelling"
#> [301] "excelling" "achieving" "achieving" "excelling" "excelling"
#> [306] NA "achieving" NA NA "achieving"
#> [311] "excelling" "progressing" "excelling" "achieving" "excelling"
#> [316] "progressing" "excelling" "excelling" "progressing" NA
#> [321] "excelling" "progressing" "excelling" "achieving" "achieving"
#> [326] NA "progressing" "achieving" "achieving" "excelling"
#> [331] "progressing" "achieving" "excelling" "excelling" "achieving"
#> [336] "excelling" "progressing" "achieving" "achieving" "progressing"
#> [341] NA NA "progressing" "progressing" "progressing"
#> [346] "achieving" "excelling" "excelling" NA "excelling"
#> [351] NA NA "progressing" "achieving" "progressing"
#> [356] "excelling" NA "excelling" "achieving" "achieving"
#> [361] NA "excelling" NA "excelling" "excelling"
#> [366] "excelling" "excelling" "achieving" "achieving" "excelling"
#> [371] "progressing" "excelling" "progressing" NA "progressing"
#> [376] "excelling" "achieving" NA NA "progressing"
#> [381] "excelling" "achieving" "achieving" "achieving" "achieving"
#> [386] "excelling" "achieving" NA "achieving" "excelling"
#> [391] "achieving" "excelling" NA "excelling" "excelling"
#> [396] "progressing" "achieving" NA "achieving" "excelling"
#> [401] NA "excelling" "excelling" "excelling" "excelling"
#> [406] "progressing" NA "achieving" "excelling" NA
#> [411] NA NA "progressing" "progressing" "achieving"
#> [416] "excelling" "achieving" "progressing" "achieving" NA
#> [421] "excelling" "excelling" "progressing" "progressing" "progressing"
#> [426] "excelling" "progressing" "achieving" "excelling" "excelling"
#> [431] "achieving" NA "achieving" NA "excelling"
#> [436] "achieving" "progressing" "achieving" "excelling" "excelling"
#> [441] "excelling" "achieving" "beginning" "excelling" NA
#> [446] "excelling" "excelling" "excelling" "excelling" NA
#> [451] "progressing" "achieving" NA "excelling" "progressing"
#> [456] "excelling" "excelling" "excelling" "excelling" "excelling"
#> [461] NA "achieving" "excelling" "progressing" NA
#> [466] "progressing" "progressing" NA NA NA
#> [471] "progressing" "excelling" NA "excelling" "achieving"
#> [476] "progressing" NA "achieving" "progressing" "progressing"
#> [481] NA "excelling" "excelling" NA "achieving"
#> [486] NA "excelling" NA "progressing" "achieving"
#> [491] "progressing" "progressing" "progressing" "excelling" "achieving"
#> [496] "progressing" NA NA "achieving" NA
The get_capl_domain_status()
function computes the status (“complete”, “missing interpretation”, “missing protocol” or “incomplete”) of a CAPL domain.
$db_status <- get_capl_domain_status(
capl_demo_datax = capl_demo_data,
domain = "db"
)
$db_status
capl_demo_data#> [1] "incomplete" "complete" "complete"
#> [4] "complete" "complete" "complete"
#> [7] "incomplete" "complete" "complete"
#> [10] "complete" "incomplete" "complete"
#> [13] "missing interpretation" "missing interpretation" "complete"
#> [16] "complete" "complete" "complete"
#> [19] "complete" "complete" "complete"
#> [22] "complete" "complete" "incomplete"
#> [25] "missing interpretation" "missing interpretation" "complete"
#> [28] "missing interpretation" "complete" "complete"
#> [31] "complete" "complete" "complete"
#> [34] "missing interpretation" "complete" "missing interpretation"
#> [37] "missing interpretation" "complete" "complete"
#> [40] "complete" "complete" "complete"
#> [43] "complete" "complete" "complete"
#> [46] "complete" "complete" "incomplete"
#> [49] "missing interpretation" "missing interpretation" "complete"
#> [52] "complete" "complete" "complete"
#> [55] "complete" "complete" "complete"
#> [58] "complete" "complete" "complete"
#> [61] "complete" "missing interpretation" "complete"
#> [64] "incomplete" "complete" "missing interpretation"
#> [67] "complete" "complete" "missing interpretation"
#> [70] "incomplete" "complete" "complete"
#> [73] "complete" "incomplete" "missing interpretation"
#> [76] "complete" "missing interpretation" "complete"
#> [79] "complete" "incomplete" "missing interpretation"
#> [82] "complete" "complete" "complete"
#> [85] "complete" "missing interpretation" "complete"
#> [88] "complete" "complete" "complete"
#> [91] "complete" "complete" "missing interpretation"
#> [94] "missing interpretation" "missing interpretation" "complete"
#> [97] "missing interpretation" "complete" "complete"
#> [100] "complete" "complete" "complete"
#> [103] "complete" "missing interpretation" "complete"
#> [106] "complete" "complete" "complete"
#> [109] "incomplete" "complete" "complete"
#> [112] "complete" "complete" "missing interpretation"
#> [115] "complete" "incomplete" "complete"
#> [118] "complete" "complete" "complete"
#> [121] "incomplete" "complete" "complete"
#> [124] "complete" "complete" "missing interpretation"
#> [127] "complete" "missing interpretation" "missing interpretation"
#> [130] "complete" "complete" "missing interpretation"
#> [133] "complete" "complete" "complete"
#> [136] "complete" "complete" "complete"
#> [139] "complete" "complete" "complete"
#> [142] "complete" "complete" "complete"
#> [145] "complete" "complete" "missing interpretation"
#> [148] "missing interpretation" "incomplete" "complete"
#> [151] "complete" "complete" "complete"
#> [154] "complete" "complete" "complete"
#> [157] "complete" "complete" "complete"
#> [160] "complete" "missing interpretation" "complete"
#> [163] "complete" "complete" "missing interpretation"
#> [166] "complete" "complete" "missing interpretation"
#> [169] "complete" "complete" "complete"
#> [172] "complete" "complete" "complete"
#> [175] "complete" "incomplete" "complete"
#> [178] "missing interpretation" "missing interpretation" "complete"
#> [181] "complete" "missing interpretation" "complete"
#> [184] "missing interpretation" "complete" "complete"
#> [187] "complete" "complete" "complete"
#> [190] "missing interpretation" "complete" "complete"
#> [193] "complete" "complete" "missing interpretation"
#> [196] "complete" "complete" "complete"
#> [199] "complete" "missing interpretation" "complete"
#> [202] "complete" "complete" "complete"
#> [205] "complete" "complete" "complete"
#> [208] "complete" "complete" "missing interpretation"
#> [211] "missing interpretation" "complete" "complete"
#> [214] "complete" "complete" "complete"
#> [217] "missing interpretation" "complete" "complete"
#> [220] "complete" "complete" "complete"
#> [223] "missing interpretation" "missing interpretation" "complete"
#> [226] "complete" "complete" "missing interpretation"
#> [229] "complete" "missing interpretation" "complete"
#> [232] "complete" "complete" "incomplete"
#> [235] "complete" "complete" "complete"
#> [238] "incomplete" "complete" "complete"
#> [241] "complete" "complete" "missing interpretation"
#> [244] "missing interpretation" "missing interpretation" "complete"
#> [247] "complete" "missing interpretation" "missing interpretation"
#> [250] "complete" "missing interpretation" "complete"
#> [253] "missing interpretation" "complete" "complete"
#> [256] "complete" "complete" "complete"
#> [259] "complete" "missing interpretation" "complete"
#> [262] "complete" "complete" "complete"
#> [265] "complete" "complete" "complete"
#> [268] "complete" "complete" "complete"
#> [271] "complete" "complete" "missing interpretation"
#> [274] "complete" "complete" "complete"
#> [277] "complete" "complete" "complete"
#> [280] "complete" "complete" "missing interpretation"
#> [283] "complete" "complete" "complete"
#> [286] "complete" "complete" "complete"
#> [289] "complete" "complete" "complete"
#> [292] "incomplete" "complete" "complete"
#> [295] "missing interpretation" "complete" "complete"
#> [298] "complete" "complete" "complete"
#> [301] "complete" "complete" "complete"
#> [304] "complete" "complete" "incomplete"
#> [307] "complete" "missing interpretation" "incomplete"
#> [310] "complete" "complete" "complete"
#> [313] "complete" "complete" "complete"
#> [316] "complete" "complete" "complete"
#> [319] "complete" "missing interpretation" "complete"
#> [322] "complete" "complete" "complete"
#> [325] "complete" "missing interpretation" "complete"
#> [328] "complete" "complete" "complete"
#> [331] "complete" "complete" "complete"
#> [334] "complete" "complete" "complete"
#> [337] "complete" "complete" "complete"
#> [340] "complete" "missing interpretation" "missing interpretation"
#> [343] "complete" "complete" "complete"
#> [346] "complete" "complete" "complete"
#> [349] "incomplete" "complete" "missing interpretation"
#> [352] "missing interpretation" "complete" "complete"
#> [355] "complete" "complete" "missing interpretation"
#> [358] "complete" "complete" "complete"
#> [361] "missing interpretation" "complete" "missing interpretation"
#> [364] "complete" "complete" "complete"
#> [367] "complete" "complete" "complete"
#> [370] "complete" "complete" "complete"
#> [373] "complete" "missing interpretation" "complete"
#> [376] "complete" "complete" "incomplete"
#> [379] "missing interpretation" "complete" "complete"
#> [382] "complete" "complete" "complete"
#> [385] "complete" "complete" "complete"
#> [388] "missing interpretation" "complete" "complete"
#> [391] "complete" "complete" "missing interpretation"
#> [394] "complete" "complete" "complete"
#> [397] "complete" "incomplete" "complete"
#> [400] "complete" "missing interpretation" "complete"
#> [403] "complete" "complete" "complete"
#> [406] "complete" "missing interpretation" "complete"
#> [409] "complete" "incomplete" "missing interpretation"
#> [412] "incomplete" "complete" "complete"
#> [415] "complete" "complete" "complete"
#> [418] "complete" "complete" "missing interpretation"
#> [421] "complete" "complete" "complete"
#> [424] "complete" "complete" "complete"
#> [427] "complete" "complete" "complete"
#> [430] "complete" "complete" "incomplete"
#> [433] "complete" "missing interpretation" "complete"
#> [436] "complete" "complete" "complete"
#> [439] "complete" "complete" "complete"
#> [442] "complete" "complete" "complete"
#> [445] "incomplete" "complete" "complete"
#> [448] "complete" "complete" "missing interpretation"
#> [451] "complete" "complete" "incomplete"
#> [454] "complete" "complete" "complete"
#> [457] "complete" "complete" "complete"
#> [460] "complete" "missing interpretation" "complete"
#> [463] "complete" "complete" "missing interpretation"
#> [466] "complete" "complete" "missing interpretation"
#> [469] "missing interpretation" "missing interpretation" "complete"
#> [472] "complete" "missing interpretation" "complete"
#> [475] "complete" "complete" "missing interpretation"
#> [478] "complete" "complete" "complete"
#> [481] "missing interpretation" "complete" "complete"
#> [484] "missing interpretation" "complete" "missing interpretation"
#> [487] "complete" "missing interpretation" "complete"
#> [490] "complete" "complete" "complete"
#> [493] "complete" "complete" "complete"
#> [496] "complete" "incomplete" "missing interpretation"
#> [499] "complete" "incomplete"
As illustrated in the CAPL-2 manual on page 79, the formula for computing the motivation and confidence score is:
The get_predilection_score()
function computes a predilection score (predilection_score
) that ranges from 1.8 to 7.5 based on responses to three items from the Children’s Self-Perceptions of Adequacy in and Predilection for Physical Activity (Hay, 1992) as they appear in the CAPL-2 questionnaire. This score is used to compute the motivation and confidence domain score.
$predilection_score <- get_predilection_score(
capl_demo_datacsappa1 = capl_demo_data$csappa1,
csappa3 = capl_demo_data$csappa3,
csappa5 = capl_demo_data$csappa5
)
$predilection_score
capl_demo_data#> [1] 3.6 4.9 5.5 3.0 NA 3.0 6.2 4.9 4.8 4.9 3.0 3.0 5.6 4.9 5.5 5.5 4.9 4.3
#> [19] 5.6 3.6 4.2 3.6 6.1 3.6 4.3 4.8 5.6 3.0 4.3 4.3 6.1 4.9 6.2 3.6 6.8 5.5
#> [37] 5.5 6.2 3.0 2.4 4.3 3.6 5.5 6.1 NA 4.3 2.4 4.9 4.9 NA 5.5 4.3 4.2 4.2
#> [55] 4.9 6.2 4.3 5.5 1.8 3.7 4.9 3.7 6.8 4.8 6.2 4.2 3.7 1.8 5.5 3.0 5.5 4.2
#> [73] 4.8 5.5 4.9 3.6 4.9 3.7 3.6 3.6 4.9 6.2 4.2 3.7 3.7 3.6 3.0 2.4 4.2 4.2
#> [91] 3.0 5.4 5.5 6.2 4.3 3.6 5.6 6.1 4.9 NA 4.2 5.5 6.8 4.8 4.9 4.9 4.9 2.4
#> [109] 4.8 3.0 3.6 3.6 4.9 3.6 4.3 3.7 2.4 3.0 3.6 4.2 4.3 4.3 6.8 5.6 4.9 6.2
#> [127] 3.0 3.0 5.5 3.6 4.2 3.7 6.1 3.7 3.6 6.2 6.1 4.8 3.6 4.9 1.8 5.6 3.0 4.9
#> [145] 4.9 4.8 3.0 4.8 4.2 4.9 2.4 5.5 3.7 4.3 3.6 3.0 4.8 5.5 7.5 4.9 4.8 4.2
#> [163] 3.0 2.4 5.5 2.4 5.5 6.1 3.6 5.5 4.3 4.2 4.3 NA 6.1 3.6 4.9 5.6 3.7 2.4
#> [181] 5.6 3.0 4.2 3.7 5.4 6.2 4.2 4.3 3.6 5.5 5.5 3.6 4.9 3.6 4.9 3.7 4.9 4.2
#> [199] 4.9 4.3 6.2 2.4 4.3 3.6 6.8 4.9 4.9 6.1 2.4 7.5 5.5 4.3 6.2 5.6 4.8 3.0
#> [217] 5.6 3.6 4.9 6.1 4.3 4.8 4.2 3.6 4.3 6.1 6.8 4.9 3.0 3.6 3.0 5.6 4.9 4.3
#> [235] 6.2 5.6 1.8 NA 5.5 3.6 4.3 6.2 4.9 4.8 3.6 5.5 4.9 5.5 4.9 6.1 4.9 4.3
#> [253] 6.8 3.6 4.9 4.2 4.8 5.5 4.2 3.0 6.2 4.8 3.6 4.2 4.3 4.9 7.5 4.3 5.5 4.9
#> [271] 1.8 3.6 5.5 4.2 5.6 4.2 4.9 3.0 3.7 4.3 4.9 4.8 3.0 3.6 4.9 4.9 6.1 4.9
#> [289] 4.2 3.6 5.5 5.5 2.4 2.4 3.7 5.5 5.4 6.2 3.7 6.8 4.2 7.5 5.6 3.7 4.2 5.5
#> [307] 4.3 5.4 4.9 3.6 4.8 4.8 4.2 6.1 4.3 3.0 3.7 6.8 3.6 3.0 6.2 4.8 4.2 5.5
#> [325] 4.3 4.2 4.9 4.3 3.0 3.0 4.9 4.3 4.3 6.2 6.1 4.3 4.2 5.6 3.6 6.1 4.9 4.3
#> [343] 7.5 6.2 4.3 3.6 6.2 4.2 4.2 4.3 2.4 3.6 1.8 5.5 5.5 5.5 3.7 7.5 5.5 5.5
#> [361] 7.5 6.2 3.7 3.6 3.6 2.4 3.0 3.0 4.9 6.1 4.9 5.5 4.3 3.0 4.9 3.6 4.3 4.2
#> [379] 4.2 3.7 3.0 3.6 4.3 4.3 4.9 3.0 4.9 4.3 4.2 3.6 6.1 4.2 4.9 4.9 5.5 6.8
#> [397] 5.6 4.9 4.2 3.6 3.6 4.2 4.2 4.3 4.3 6.1 6.1 5.6 3.6 5.5 5.5 3.0 6.1 3.0
#> [415] 6.2 5.6 4.9 3.0 3.6 4.3 3.6 3.7 6.1 2.4 5.6 4.9 5.5 7.5 5.5 3.7 4.3 6.2
#> [433] 4.9 4.9 4.2 4.3 3.6 4.2 4.2 3.6 3.0 5.5 2.4 3.6 4.8 6.1 4.2 2.4 3.0 4.9
#> [451] 3.7 4.9 3.6 5.6 3.6 4.9 4.8 4.2 3.0 6.8 5.5 3.7 3.6 6.2 4.9 3.6 3.6 3.7
#> [469] 3.0 4.2 3.0 4.3 6.2 6.8 5.4 4.3 4.3 NA 6.1 3.0 4.9 3.0 4.9 6.8 5.5 4.9
#> [487] 6.1 3.0 4.9 4.2 4.2 4.2 2.4 3.6 4.3 5.5 3.7 6.1 2.4 4.2
The get_adequacy_score()
function computes an adequacy score that ranges from 1.8 to 7.5 based on responses to three items from the Children’s Self-Perceptions of Adequacy in and Predilection for Physical Activity Questionnaire (Hay, 1992) as they appear in the CAPL-2 questionnaire. This score is used to compute the motivation and confidence domain score.
$adequacy_score <- get_adequacy_score(
capl_demo_datacsappa2 = capl_demo_data$csappa2,
csappa4 = capl_demo_data$csappa4,
csappa6 = capl_demo_data$csappa6
)
$adequacy_score
capl_demo_data#> [1] 2.4 5.5 7.5 4.3 5.5 5.5 4.2 4.3 3.6 4.3 6.2 4.9 4.9 4.2 4.3 5.6 4.2 4.8
#> [19] 4.8 6.2 4.3 4.8 4.9 3.6 6.8 4.3 6.2 6.2 4.3 7.5 6.1 5.6 4.9 6.2 6.2 2.4
#> [37] 4.2 5.6 5.6 4.2 5.5 4.9 5.5 4.9 4.2 6.2 5.6 6.2 4.9 4.2 3.6 3.7 3.6 6.8
#> [55] 1.8 3.6 5.6 4.9 3.6 3.0 3.6 4.9 3.7 4.9 3.6 3.7 4.2 5.6 6.1 4.9 3.6 3.0
#> [73] 2.4 4.3 6.1 3.0 3.0 3.7 4.9 4.3 5.4 5.5 3.0 2.4 6.1 5.6 5.5 3.7 4.2 2.4
#> [91] 5.6 4.9 3.0 5.6 4.9 3.6 4.9 6.8 4.9 2.4 5.6 4.8 4.2 3.0 4.9 3.0 3.0 3.7
#> [109] 4.9 3.7 6.2 4.9 5.5 5.6 5.6 4.8 3.7 6.2 3.0 5.4 4.9 3.6 5.4 3.0 4.8 3.6
#> [127] 4.8 4.2 4.2 2.4 4.9 4.3 6.2 2.4 4.9 4.9 4.9 4.2 4.9 5.5 4.9 5.5 7.5 5.6
#> [145] 5.5 3.0 4.9 6.1 4.9 5.5 3.0 5.6 6.2 4.9 4.3 4.9 5.6 4.2 2.4 5.5 4.9 3.7
#> [163] 4.3 4.3 4.9 4.3 6.1 4.8 4.9 5.5 6.2 6.1 3.6 2.4 3.6 4.9 6.2 4.3 4.3 4.2
#> [181] 3.6 3.6 3.6 6.1 7.5 3.0 5.5 4.9 5.6 3.6 4.3 5.4 3.7 3.0 6.2 6.8 2.4 3.0
#> [199] 6.1 4.9 3.0 4.8 3.6 3.6 6.1 2.4 5.5 4.8 6.1 4.9 5.5 6.2 3.0 4.3 5.6 4.2
#> [217] 4.3 3.7 4.9 5.5 6.2 4.3 4.9 5.4 4.2 3.6 6.1 6.8 7.5 3.0 4.2 3.6 5.5 4.2
#> [235] 4.2 5.5 3.6 3.7 3.0 NA 5.5 3.6 4.2 3.7 6.8 4.9 4.9 5.5 3.0 3.7 4.3 3.0
#> [253] 6.1 4.9 1.8 6.2 4.2 4.2 5.6 5.5 4.9 4.3 5.6 4.2 6.1 4.2 4.9 4.2 3.7 4.8
#> [271] 3.6 2.4 3.6 3.6 4.3 5.6 4.9 4.9 4.9 6.1 6.1 3.6 6.1 3.6 3.7 4.9 3.6 4.2
#> [289] 3.6 4.2 5.5 3.0 4.8 4.9 5.5 3.7 NA 3.7 5.4 3.6 4.3 5.5 3.6 4.2 5.6 4.2
#> [307] 6.8 3.0 6.1 6.1 3.6 NA 4.8 5.5 3.6 6.1 4.3 3.0 6.8 6.2 3.0 6.1 1.8 3.7
#> [325] 3.6 3.7 6.2 4.8 3.7 3.6 3.6 3.0 4.8 3.0 3.0 4.9 5.5 2.4 5.6 6.8 6.2 6.1
#> [343] 3.0 4.9 4.9 6.2 2.4 3.0 4.2 3.6 1.8 4.9 4.2 4.9 4.9 5.6 3.0 4.9 6.1 6.1
#> [361] 4.2 4.9 6.2 3.6 4.9 4.3 3.0 6.1 4.3 3.7 3.7 3.0 4.2 3.6 3.0 6.1 4.3 6.1
#> [379] 2.4 5.5 5.6 5.5 5.5 4.9 5.5 4.2 4.2 4.3 4.3 4.9 3.0 5.5 5.6 5.6 3.6 6.1
#> [397] 5.6 3.0 2.4 2.4 3.7 3.0 4.2 2.4 4.3 6.8 4.8 3.6 3.6 5.6 3.0 4.3 4.2 4.9
#> [415] 6.2 3.7 4.9 3.6 6.8 3.6 5.4 4.9 4.8 4.2 5.5 5.5 5.5 4.8 4.2 4.9 3.7 5.6
#> [433] 3.6 4.9 5.6 3.6 3.7 7.5 5.5 4.8 4.9 4.2 5.5 4.3 5.5 4.2 6.1 2.4 4.8 3.0
#> [451] 5.4 5.5 3.6 1.8 6.1 1.8 4.8 4.9 2.4 4.2 4.3 3.6 1.8 3.7 4.3 3.0 2.4 5.6
#> [469] 4.2 5.5 3.7 6.8 4.3 4.3 5.5 4.2 4.3 5.6 3.0 3.0 6.1 6.8 4.2 5.6 4.9 3.7
#> [487] 5.5 4.3 4.8 7.5 6.2 7.5 5.5 4.9 1.8 5.5 4.2 3.7 4.2 2.4
The get_intrinsic_motivation_score()
function computes an intrinsic motivation score that ranges from 1.5 to 7.5 based on responses to three items from the Behavioral Regulation in Exercise Questionnaire (BREQ) as they appear in the CAPL-2 questionnaire. This score is used to compute the motivation and confidence domain score.
$intrinsic_motivation_score <- get_intrinsic_motivation_score(
capl_demo_datawhy_active1 = capl_demo_data$why_active1,
why_active2 = capl_demo_data$why_active2,
why_active3 = capl_demo_data$why_active3
)
$intrinsic_motivation_score
capl_demo_data#> [1] 6.0 4.5 5.0 4.5 4.0 5.5 6.5 NA 5.5 NA 6.5 5.0 4.0 3.5 NA 6.0 4.5 4.5
#> [19] 5.0 3.0 2.0 2.5 3.5 NA 5.0 4.0 4.5 7.0 3.5 4.0 NA 6.0 5.0 3.5 NA 4.5
#> [37] 4.5 NA 5.0 5.0 4.0 3.5 6.5 4.0 NA 4.5 3.0 NA 5.0 5.0 4.0 6.5 NA 4.0
#> [55] 5.0 3.5 6.5 2.5 6.5 5.0 6.0 5.5 4.5 3.5 3.0 2.5 4.5 4.5 4.5 4.5 4.5 3.0
#> [73] 4.5 4.5 5.0 5.0 2.5 6.5 5.5 4.5 6.0 2.5 4.0 7.0 4.5 NA 3.5 NA 3.5 3.0
#> [91] 4.0 4.0 5.0 5.0 2.5 NA 3.5 6.0 1.5 6.5 5.5 5.5 5.5 4.0 4.0 4.0 NA 3.0
#> [109] NA 4.0 5.0 5.5 3.5 4.0 3.0 4.0 6.5 3.5 6.0 3.0 4.5 6.0 NA 3.0 3.5 NA
#> [127] 5.0 3.0 NA 5.5 5.5 6.5 4.0 NA 5.0 5.0 5.0 NA 3.0 2.5 NA 4.0 6.0 5.0
#> [145] 5.0 3.5 4.5 5.0 NA 4.5 2.5 4.0 4.0 5.5 3.0 7.0 5.0 5.0 5.0 NA 5.5 7.5
#> [163] 4.0 2.5 3.5 5.5 NA 4.5 6.0 5.0 5.0 5.5 2.5 4.5 5.5 2.0 5.0 7.0 NA 6.0
#> [181] 2.5 2.5 3.5 5.0 3.5 4.5 5.5 6.5 5.5 4.5 4.5 6.0 5.5 6.0 4.0 NA 2.5 6.5
#> [199] NA 2.5 3.0 5.0 2.5 5.5 5.5 NA 3.0 3.0 4.5 4.5 3.0 3.0 5.0 NA 6.0 3.5
#> [217] 4.5 7.0 2.5 3.0 3.0 5.0 4.5 6.5 4.5 5.5 NA 5.0 6.0 5.5 NA 3.0 2.5 NA
#> [235] 4.5 4.0 4.0 3.5 4.5 5.0 4.0 7.5 2.0 6.5 5.0 5.0 3.5 NA 4.5 2.5 3.0 NA
#> [253] 4.5 5.5 NA NA 5.5 3.5 5.0 5.5 4.5 4.5 4.0 4.5 NA 5.0 6.5 5.5 4.5 6.0
#> [271] 4.0 5.0 NA 5.5 4.0 4.0 4.0 5.0 5.5 6.5 NA 4.0 4.5 NA 5.0 4.5 6.0 3.0
#> [289] NA NA 3.5 3.5 6.0 4.0 3.5 4.5 7.0 5.0 6.0 4.0 5.0 6.0 1.5 4.5 NA 4.0
#> [307] NA 2.5 4.5 4.5 2.5 4.5 3.0 3.5 6.5 3.5 5.5 4.0 5.0 3.0 4.0 4.0 6.5 4.5
#> [325] 6.5 3.5 NA 2.0 6.5 5.5 2.5 5.5 3.5 5.5 4.5 4.0 5.0 4.0 4.5 4.0 4.5 3.5
#> [343] NA NA 2.5 5.5 2.5 4.5 3.5 6.5 7.5 5.0 NA 4.0 4.0 3.5 NA 6.0 NA 5.0
#> [361] 5.5 4.5 4.5 NA 3.0 5.0 7.5 5.5 NA 2.5 4.5 NA 4.0 3.0 3.5 6.0 3.5 5.5
#> [379] 2.5 4.0 2.0 5.5 6.0 6.0 6.0 4.5 5.0 5.0 5.0 4.5 4.0 3.5 6.5 NA 5.5 3.5
#> [397] 4.0 3.5 6.0 4.5 5.5 4.5 7.0 5.0 6.5 NA 5.5 5.5 4.5 5.0 4.0 4.0 4.5 4.0
#> [415] 2.5 5.0 4.0 NA 5.5 3.0 4.0 3.5 7.0 3.5 4.0 6.5 2.0 5.5 4.0 4.5 NA 5.5
#> [433] NA 5.0 3.5 4.5 5.0 4.5 4.5 3.0 NA 4.0 6.5 5.5 5.5 4.5 3.0 5.0 5.5 NA
#> [451] 6.0 5.0 2.0 NA NA 2.5 2.5 6.5 3.5 3.5 4.0 5.5 4.5 4.5 4.0 4.5 3.5 5.5
#> [469] 3.0 NA NA 5.0 6.5 5.0 3.5 4.5 2.0 4.0 NA 4.5 4.5 4.5 3.5 5.5 NA 5.0
#> [487] 5.0 5.0 5.5 4.5 4.5 5.5 4.5 6.5 3.5 2.5 4.5 4.5 4.5 5.5
The get_pa_competence_score()
function computes a physical activity competence score that ranges from 1.5 to 7.5 based on responses to three items from the Behavioral Regulation in Exercise Questionnaire (BREQ) as they appear in the CAPL-2 Questionnaire. This score is used to compute the motivation and confidence domain score.
$pa_competence_score <- get_pa_competence_score(
capl_demo_datafeelings_about_pa1 = capl_demo_data$feelings_about_pa1,
feelings_about_pa2 = capl_demo_data$feelings_about_pa2,
feelings_about_pa3 = capl_demo_data$feelings_about_pa3
)
$pa_competence_score
capl_demo_data#> [1] 5.5 5.0 3.0 5.0 4.0 2.5 4.5 4.5 4.5 6.0 4.5 4.0 3.5 4.0 4.0 3.5 5.0 3.5
#> [19] 5.0 6.0 5.5 4.0 NA 4.5 5.5 NA 5.0 4.0 5.0 5.0 4.0 NA 3.0 NA 4.5 3.0
#> [37] 6.0 NA 1.5 3.5 4.5 6.5 2.5 5.5 3.5 6.0 4.0 6.5 5.5 5.0 6.0 NA 3.0 5.5
#> [55] 5.0 5.0 5.5 NA 5.0 5.0 5.0 NA 4.5 5.0 4.0 7.0 3.5 5.5 4.5 4.5 NA 2.5
#> [73] 4.0 3.5 4.5 5.0 4.0 4.0 3.5 3.5 2.5 5.0 5.0 3.0 5.0 3.0 5.0 NA 3.0 3.5
#> [91] 3.5 5.0 5.0 NA NA 5.0 3.5 5.0 5.0 4.0 NA 3.5 5.0 4.5 5.5 7.5 4.0 5.0
#> [109] NA 4.0 6.0 NA 5.5 6.0 5.5 3.0 4.0 3.5 4.0 6.0 3.5 4.0 NA 5.0 6.0 7.0
#> [127] 4.0 4.5 4.5 2.5 NA 2.5 7.5 4.5 4.0 4.0 NA 3.0 4.0 5.5 NA 4.0 3.5 4.5
#> [145] 3.5 5.0 3.0 NA 5.5 4.5 5.5 3.5 6.0 5.0 6.5 6.0 4.0 2.0 4.0 NA 2.5 4.5
#> [163] 4.5 5.0 6.0 5.5 2.0 7.0 NA 3.5 3.5 NA 5.0 NA 5.5 6.0 5.5 5.0 4.0 4.0
#> [181] 5.5 3.5 5.0 5.0 5.5 5.0 6.0 NA 2.0 3.0 3.5 3.5 4.5 3.0 3.5 NA NA 3.5
#> [199] 2.0 3.0 4.0 5.5 6.5 4.5 3.5 3.0 3.5 6.5 5.0 5.5 3.5 4.5 2.5 3.5 NA 4.5
#> [217] 2.5 7.0 5.0 5.0 5.5 NA 4.5 3.5 4.5 4.0 5.0 4.0 4.5 3.0 2.0 4.0 6.0 NA
#> [235] 3.5 5.0 3.0 3.5 5.0 4.5 2.5 5.0 NA NA 4.5 5.5 6.5 4.5 6.0 3.5 6.5 4.5
#> [253] 3.0 3.5 5.5 NA 5.5 4.0 4.0 4.5 5.5 3.5 3.5 5.0 3.5 4.5 4.5 6.0 4.5 6.0
#> [271] 4.0 NA 7.0 4.5 6.0 5.0 5.0 5.0 6.0 3.0 3.5 2.0 2.5 3.0 5.0 NA 4.0 5.0
#> [289] 5.5 6.5 4.5 NA 7.0 NA 3.5 NA 3.0 NA 6.0 6.0 6.0 NA 3.5 NA 4.0 NA
#> [307] 6.0 NA 4.5 6.0 4.0 4.5 4.0 5.0 4.0 4.5 6.5 4.5 5.5 5.0 5.5 3.0 3.5 4.5
#> [325] 6.5 5.5 2.5 4.5 5.0 4.5 4.5 4.5 4.0 4.5 4.5 5.5 3.5 5.0 4.5 6.0 4.0 4.5
#> [343] 4.5 5.0 4.0 4.0 NA 6.0 6.0 5.0 2.5 4.0 3.5 6.0 NA 5.0 3.5 5.0 4.0 NA
#> [361] 6.5 4.0 3.0 5.5 5.5 6.0 5.5 NA NA 7.0 6.0 5.0 4.5 4.5 4.5 3.5 3.5 3.0
#> [379] 3.0 4.5 6.0 4.0 NA 5.5 NA 6.0 5.5 7.5 4.5 3.5 6.5 3.5 4.5 2.5 4.5 5.5
#> [397] 4.5 4.0 NA NA 7.0 6.5 4.0 5.0 NA 4.5 4.5 6.0 5.5 6.0 6.0 2.5 5.0 5.5
#> [415] 6.0 5.0 3.0 3.5 5.0 6.5 3.0 2.5 3.0 NA 3.0 3.5 4.0 4.0 5.5 NA 3.5 3.0
#> [433] 5.0 7.0 5.0 4.5 5.0 NA NA 2.0 NA 6.0 6.0 4.0 5.0 7.0 2.5 2.5 6.5 4.5
#> [451] 6.5 3.0 4.0 5.0 5.0 3.5 4.0 6.5 4.0 4.5 NA 6.0 6.0 5.0 4.5 5.0 3.5 3.5
#> [469] 4.5 4.5 4.5 4.5 5.0 4.5 5.5 NA 6.0 4.0 3.5 6.5 4.0 4.5 4.5 5.5 5.0 6.5
#> [487] 3.0 3.5 6.5 4.5 NA 2.0 4.0 4.0 4.0 4.5 2.5 3.5 3.5 6.0
The get_mc_score()
function computes a motivation and confidence domain score that ranges from zero to 30 based on the predilection, adequacy, intrinsic motivation and physical activity competence scores. If one of the scores is missing or invalid, a weighted domain score will be computed from the other three scores. This score is used to compute the overall physical literacy score.
$mc_score <- get_mc_score(
capl_demo_datapredilection_score = capl_demo_data$predilection_score,
adequacy_score = capl_demo_data$adequacy_score,
intrinsic_motivation_score = capl_demo_data$intrinsic_motivation_score,
pa_competence_score = capl_demo_data$pa_competence_score
)
$mc_score
capl_demo_data#> [1] 17.50000 19.90000 21.00000 16.80000 18.00000 16.50000 21.40000 18.26667
#> [9] 18.40000 20.26667 20.20000 16.90000 18.00000 16.60000 18.40000 20.60000
#> [17] 18.60000 17.10000 20.40000 18.80000 16.00000 14.90000 19.33333 15.60000
#> [25] 21.60000 17.46667 21.30000 20.20000 17.10000 20.80000 21.60000 22.00000
#> [33] 19.10000 17.73333 23.33333 15.40000 20.20000 NA 15.10000 15.10000
#> [41] 18.30000 18.50000 20.00000 20.50000 NA 21.00000 15.00000 23.46667
#> [49] 20.30000 18.93333 19.10000 19.33333 14.40000 20.50000 19.86667 18.30000
#> [57] 21.90000 17.20000 20.13333 16.70000 19.50000 18.80000 19.50000 18.20000
#> [65] 16.80000 17.40000 15.90000 20.80000 20.60000 16.90000 18.13333 12.70000
#> [73] 15.70000 17.80000 20.50000 16.60000 14.40000 17.90000 17.50000 15.90000
#> [81] 18.80000 19.20000 16.20000 16.10000 19.30000 16.26667 17.00000 NA
#> [89] 14.90000 13.10000 16.10000 19.30000 18.50000 22.40000 15.60000 16.26667
#> [97] 17.50000 23.90000 16.30000 17.20000 20.40000 19.30000 21.50000 16.30000
#> [105] 19.30000 19.40000 15.86667 14.10000 NA 14.70000 20.80000 18.66667
#> [113] 19.40000 19.20000 18.40000 15.50000 16.60000 16.20000 16.60000 18.60000
#> [121] 17.20000 17.90000 NA 16.60000 19.20000 22.40000 16.80000 14.70000
#> [129] 18.93333 14.00000 19.46667 17.00000 23.80000 14.13333 17.50000 20.10000
#> [137] 21.33333 16.00000 15.50000 18.40000 NA 19.10000 20.00000 20.00000
#> [145] 18.90000 16.30000 15.40000 21.20000 19.46667 19.40000 13.40000 18.60000
#> [153] 19.90000 19.70000 17.40000 20.90000 19.40000 16.70000 18.90000 NA
#> [161] 17.70000 19.90000 15.80000 14.20000 19.90000 17.70000 18.13333 22.40000
#> [169] 19.33333 19.50000 19.00000 21.06667 15.40000 NA 20.70000 16.50000
#> [177] 21.60000 21.90000 16.00000 16.60000 17.20000 12.60000 16.30000 19.80000
#> [185] 21.90000 18.70000 21.20000 20.93333 16.70000 16.60000 17.80000 18.50000
#> [193] 18.60000 15.60000 18.60000 NA 13.06667 17.20000 17.33333 14.70000
#> [201] 16.20000 17.70000 16.90000 17.20000 21.90000 13.73333 16.90000 20.40000
#> [209] 18.00000 22.40000 17.50000 18.00000 16.70000 17.86667 21.86667 15.20000
#> [217] 16.90000 21.30000 17.30000 19.60000 19.00000 18.80000 18.10000 19.00000
#> [225] 17.50000 19.20000 23.86667 20.70000 21.00000 15.10000 12.26667 16.20000
#> [233] 18.90000 NA 18.40000 20.10000 14.13333 14.26667 18.00000 17.46667
#> [241] 16.30000 22.30000 14.80000 20.00000 19.90000 20.90000 19.80000 20.66667
#> [249] 18.40000 15.80000 18.70000 15.73333 20.40000 17.50000 NA NA
#> [257] 20.00000 17.20000 18.80000 18.50000 21.10000 17.10000 16.70000 17.90000
#> [265] 18.53333 18.60000 23.40000 20.00000 18.20000 21.70000 15.46667 14.66667
#> [273] 21.46667 17.80000 19.90000 18.80000 18.80000 17.90000 20.10000 19.90000
#> [281] 19.33333 14.40000 16.10000 13.60000 18.60000 19.06667 19.70000 17.10000
#> [289] 17.73333 19.06667 19.00000 16.00000 20.20000 15.06667 16.20000 18.26667
#> [297] 20.53333 19.86667 21.10000 20.40000 19.50000 25.33333 14.20000 16.53333
#> [305] 18.40000 18.26667 22.80000 14.53333 20.00000 20.20000 14.90000 18.40000
#> [313] 16.00000 20.10000 18.40000 17.10000 20.00000 18.30000 20.90000 17.20000
#> [321] 18.70000 17.90000 18.93333 18.20000 20.90000 16.90000 18.13333 15.60000
#> [329] 18.20000 16.60000 15.50000 17.30000 16.60000 19.20000 18.10000 18.70000
#> [337] 18.20000 17.00000 18.20000 22.90000 19.60000 18.40000 20.00000 21.46667
#> [345] 15.70000 19.30000 14.80000 17.70000 17.90000 19.40000 16.53333 17.50000
#> [353] NA 20.40000 19.20000 19.60000 13.60000 23.40000 20.80000 22.13333
#> [361] 23.70000 19.60000 17.40000 16.93333 17.00000 17.70000 19.00000 19.46667
#> [369] NA 19.30000 19.10000 18.00000 17.00000 14.10000 15.90000 19.20000
#> [377] 15.60000 18.80000 12.10000 17.70000 16.60000 18.60000 21.06667 20.70000
#> [385] 21.86667 17.70000 19.60000 21.10000 18.00000 16.50000 19.60000 16.70000
#> [393] 21.50000 17.33333 19.10000 21.90000 19.70000 15.40000 16.80000 14.00000
#> [401] 19.80000 18.20000 19.40000 16.70000 20.13333 23.20000 20.90000 20.70000
#> [409] 17.20000 22.10000 18.50000 13.80000 19.80000 17.40000 20.90000 19.30000
#> [417] 16.80000 13.46667 20.90000 17.40000 16.00000 14.60000 20.90000 13.46667
#> [425] 18.10000 20.40000 17.00000 21.80000 19.20000 17.46667 15.33333 20.30000
#> [433] 18.00000 21.80000 18.30000 16.90000 17.30000 21.60000 18.93333 13.40000
#> [441] NA 19.70000 20.40000 17.40000 20.80000 21.80000 15.80000 12.30000
#> [449] 19.80000 16.53333 21.60000 18.40000 13.20000 NA 19.60000 14.53333
#> [457] 16.10000 22.10000 12.90000 19.00000 18.40000 18.80000 18.80000 19.40000
#> [465] 17.70000 16.10000 13.00000 18.30000 14.70000 18.93333 14.93333 20.60000
#> [473] 22.00000 20.60000 19.90000 17.33333 16.60000 18.13333 16.80000 17.00000
#> [481] 19.50000 18.80000 17.10000 23.40000 20.53333 20.10000 19.60000 15.80000
#> [489] 21.70000 20.70000 19.86667 19.20000 16.40000 19.00000 15.73333 18.00000
#> [497] 14.90000 17.80000 14.60000 18.10000
The get_capl_interpretation()
function computes an age- and gender-specific CAPL-2 interpretation for a given CAPL-2 protocol or domain score.
$mc_interpretation <- get_capl_interpretation(
capl_demo_dataage = capl_demo_data$age,
gender = capl_demo_data$gender,
score = capl_demo_data$mc_score,
protocol = "mc"
)
$mc_interpretation
capl_demo_data#> [1] "progressing" "progressing" "progressing" "progressing" "progressing"
#> [6] "beginning" "progressing" "progressing" "progressing" "progressing"
#> [11] NA "progressing" NA NA "progressing"
#> [16] "progressing" "progressing" "progressing" "progressing" "progressing"
#> [21] "beginning" "beginning" "progressing" NA NA
#> [26] NA "progressing" NA "progressing" "progressing"
#> [31] "progressing" "progressing" "progressing" NA "achieving"
#> [36] NA NA NA "beginning" "beginning"
#> [41] "progressing" "progressing" "progressing" "progressing" NA
#> [46] "progressing" "beginning" "achieving" NA NA
#> [51] "progressing" "progressing" "beginning" "progressing" "progressing"
#> [56] "progressing" "progressing" "progressing" "progressing" "progressing"
#> [61] "progressing" NA "progressing" "progressing" "progressing"
#> [66] NA "beginning" "progressing" NA "progressing"
#> [71] "progressing" "beginning" "beginning" "progressing" NA
#> [76] "progressing" NA "progressing" "progressing" "beginning"
#> [81] NA "progressing" "progressing" "beginning" "progressing"
#> [86] NA "progressing" NA "beginning" "beginning"
#> [91] "beginning" "progressing" NA NA NA
#> [96] "beginning" NA "achieving" "beginning" "progressing"
#> [101] "progressing" "progressing" "progressing" NA "progressing"
#> [106] "progressing" "beginning" "beginning" NA "beginning"
#> [111] "progressing" "progressing" "progressing" NA "progressing"
#> [116] "beginning" "progressing" "beginning" "beginning" "progressing"
#> [121] NA "progressing" NA "progressing" "progressing"
#> [126] NA "progressing" NA NA "beginning"
#> [131] "progressing" NA "achieving" "beginning" "progressing"
#> [136] "progressing" "progressing" "beginning" "beginning" "progressing"
#> [141] NA "progressing" "progressing" "progressing" "progressing"
#> [146] "progressing" NA NA "progressing" "progressing"
#> [151] "beginning" "progressing" "progressing" "progressing" "progressing"
#> [156] "progressing" "progressing" "progressing" "progressing" NA
#> [161] NA "progressing" "beginning" "beginning" NA
#> [166] "progressing" "progressing" NA "progressing" "progressing"
#> [171] "progressing" "progressing" "beginning" NA "progressing"
#> [176] "progressing" "progressing" NA NA "beginning"
#> [181] "progressing" NA "beginning" NA "progressing"
#> [186] "progressing" "progressing" "progressing" "progressing" NA
#> [191] "progressing" "progressing" "progressing" "beginning" NA
#> [196] NA "beginning" "progressing" "progressing" NA
#> [201] "beginning" "progressing" "progressing" "progressing" "progressing"
#> [206] "beginning" "progressing" "progressing" "progressing" NA
#> [211] NA "progressing" "beginning" "progressing" "progressing"
#> [216] "beginning" NA "progressing" "progressing" "progressing"
#> [221] "progressing" "progressing" NA NA "progressing"
#> [226] "progressing" "achieving" NA "progressing" NA
#> [231] "beginning" "beginning" "progressing" NA "progressing"
#> [236] "progressing" "beginning" "beginning" "progressing" "progressing"
#> [241] "progressing" "progressing" NA NA NA
#> [246] "progressing" "progressing" NA NA "beginning"
#> [251] NA "beginning" NA "progressing" NA
#> [256] NA "progressing" "progressing" "progressing" NA
#> [261] "progressing" "progressing" "progressing" "progressing" "progressing"
#> [266] "progressing" "achieving" "progressing" "progressing" "progressing"
#> [271] "beginning" "beginning" NA "progressing" "progressing"
#> [276] "progressing" "progressing" "progressing" "progressing" "progressing"
#> [281] "progressing" NA "beginning" "beginning" "progressing"
#> [286] "progressing" "progressing" "progressing" "progressing" "progressing"
#> [291] "progressing" "beginning" "progressing" "beginning" NA
#> [296] "progressing" "progressing" "progressing" "progressing" "progressing"
#> [301] "progressing" "achieving" "beginning" "beginning" "progressing"
#> [306] "progressing" "achieving" NA NA "progressing"
#> [311] "beginning" "progressing" "beginning" "progressing" "progressing"
#> [316] "progressing" "progressing" "progressing" "progressing" NA
#> [321] "progressing" "progressing" "progressing" "progressing" "progressing"
#> [326] NA "progressing" "beginning" "progressing" "progressing"
#> [331] "beginning" "progressing" "beginning" "progressing" "progressing"
#> [336] "progressing" "progressing" "progressing" "progressing" "progressing"
#> [341] NA NA "progressing" "progressing" "beginning"
#> [346] "progressing" "beginning" "progressing" "progressing" "progressing"
#> [351] NA NA NA "progressing" "progressing"
#> [356] "progressing" NA "achieving" "progressing" "progressing"
#> [361] NA "progressing" NA "progressing" "progressing"
#> [366] "progressing" "progressing" "progressing" NA "progressing"
#> [371] "progressing" "progressing" "progressing" NA "beginning"
#> [376] "progressing" "beginning" NA NA "progressing"
#> [381] "beginning" "progressing" "progressing" "progressing" "progressing"
#> [386] "progressing" "progressing" NA "progressing" "progressing"
#> [391] "progressing" "beginning" NA "progressing" "progressing"
#> [396] "progressing" "progressing" NA "progressing" "beginning"
#> [401] NA "progressing" "progressing" "progressing" "progressing"
#> [406] "achieving" NA "progressing" "progressing" "progressing"
#> [411] NA "beginning" "progressing" "progressing" "progressing"
#> [416] "progressing" "progressing" "beginning" "progressing" NA
#> [421] "beginning" "beginning" "progressing" "beginning" "progressing"
#> [426] "progressing" "progressing" "progressing" "progressing" "progressing"
#> [431] "beginning" "progressing" "progressing" NA "progressing"
#> [436] "progressing" "progressing" "progressing" "progressing" "beginning"
#> [441] NA "progressing" "progressing" "progressing" "progressing"
#> [446] "progressing" "beginning" "beginning" "progressing" NA
#> [451] "progressing" "progressing" NA NA "progressing"
#> [456] "beginning" "beginning" "progressing" "beginning" "progressing"
#> [461] NA "progressing" "progressing" "progressing" NA
#> [466] "beginning" "beginning" NA NA NA
#> [471] "beginning" "progressing" NA "progressing" "progressing"
#> [476] "progressing" NA "progressing" "progressing" "progressing"
#> [481] NA "progressing" "progressing" NA "progressing"
#> [486] NA "progressing" NA "progressing" "progressing"
#> [491] "progressing" "progressing" "progressing" "progressing" "beginning"
#> [496] "progressing" NA NA "beginning" "progressing"
The get_capl_domain_status()
function computes the status (“complete”, “missing interpretation”, “missing protocol” or “incomplete”) of a CAPL domain.
$mc_status <- get_capl_domain_status(
capl_demo_datax = capl_demo_data,
domain = "mc"
)
$mc_status
capl_demo_data#> [1] "complete" "complete" "complete"
#> [4] "complete" "missing protocol" "complete"
#> [7] "complete" "missing protocol" "complete"
#> [10] "missing protocol" "missing interpretation" "complete"
#> [13] "missing interpretation" "missing interpretation" "missing protocol"
#> [16] "complete" "complete" "complete"
#> [19] "complete" "complete" "complete"
#> [22] "complete" "missing protocol" "missing interpretation"
#> [25] "missing interpretation" "missing interpretation" "complete"
#> [28] "missing interpretation" "complete" "complete"
#> [31] "missing protocol" "missing protocol" "complete"
#> [34] "missing interpretation" "missing protocol" "missing interpretation"
#> [37] "missing interpretation" "incomplete" "complete"
#> [40] "complete" "complete" "complete"
#> [43] "complete" "complete" "incomplete"
#> [46] "complete" "complete" "missing protocol"
#> [49] "missing interpretation" "missing interpretation" "complete"
#> [52] "missing protocol" "missing protocol" "complete"
#> [55] "complete" "complete" "complete"
#> [58] "missing protocol" "complete" "complete"
#> [61] "complete" "missing interpretation" "complete"
#> [64] "complete" "complete" "missing interpretation"
#> [67] "complete" "complete" "missing interpretation"
#> [70] "complete" "missing protocol" "complete"
#> [73] "complete" "complete" "missing interpretation"
#> [76] "complete" "missing interpretation" "complete"
#> [79] "complete" "complete" "missing interpretation"
#> [82] "complete" "complete" "complete"
#> [85] "complete" "missing interpretation" "complete"
#> [88] "incomplete" "complete" "complete"
#> [91] "complete" "complete" "missing interpretation"
#> [94] "missing interpretation" "missing interpretation" "missing protocol"
#> [97] "missing interpretation" "complete" "complete"
#> [100] "missing protocol" "missing protocol" "complete"
#> [103] "complete" "missing interpretation" "complete"
#> [106] "complete" "missing protocol" "complete"
#> [109] "incomplete" "complete" "complete"
#> [112] "missing protocol" "complete" "missing interpretation"
#> [115] "complete" "complete" "complete"
#> [118] "complete" "complete" "complete"
#> [121] "missing interpretation" "complete" "incomplete"
#> [124] "complete" "complete" "missing interpretation"
#> [127] "complete" "missing interpretation" "missing interpretation"
#> [130] "complete" "missing protocol" "missing interpretation"
#> [133] "complete" "missing protocol" "complete"
#> [136] "complete" "missing protocol" "missing protocol"
#> [139] "complete" "complete" "incomplete"
#> [142] "complete" "complete" "complete"
#> [145] "complete" "complete" "missing interpretation"
#> [148] "missing interpretation" "missing protocol" "complete"
#> [151] "complete" "complete" "complete"
#> [154] "complete" "complete" "complete"
#> [157] "complete" "complete" "complete"
#> [160] "incomplete" "missing interpretation" "complete"
#> [163] "complete" "complete" "missing interpretation"
#> [166] "complete" "missing protocol" "missing interpretation"
#> [169] "missing protocol" "complete" "complete"
#> [172] "missing protocol" "complete" "incomplete"
#> [175] "complete" "complete" "complete"
#> [178] "missing interpretation" "missing interpretation" "complete"
#> [181] "complete" "missing interpretation" "complete"
#> [184] "missing interpretation" "complete" "complete"
#> [187] "complete" "missing protocol" "complete"
#> [190] "missing interpretation" "complete" "complete"
#> [193] "complete" "complete" "missing interpretation"
#> [196] "incomplete" "missing protocol" "complete"
#> [199] "missing protocol" "missing interpretation" "complete"
#> [202] "complete" "complete" "complete"
#> [205] "complete" "missing protocol" "complete"
#> [208] "complete" "complete" "missing interpretation"
#> [211] "missing interpretation" "complete" "complete"
#> [214] "missing protocol" "missing protocol" "complete"
#> [217] "missing interpretation" "complete" "complete"
#> [220] "complete" "complete" "missing protocol"
#> [223] "missing interpretation" "missing interpretation" "complete"
#> [226] "complete" "missing protocol" "missing interpretation"
#> [229] "complete" "missing interpretation" "missing protocol"
#> [232] "complete" "complete" "incomplete"
#> [235] "complete" "complete" "complete"
#> [238] "missing protocol" "complete" "missing protocol"
#> [241] "complete" "complete" "missing interpretation"
#> [244] "missing interpretation" "missing interpretation" "complete"
#> [247] "complete" "missing interpretation" "missing interpretation"
#> [250] "complete" "missing interpretation" "missing protocol"
#> [253] "missing interpretation" "complete" "incomplete"
#> [256] "incomplete" "complete" "complete"
#> [259] "complete" "missing interpretation" "complete"
#> [262] "complete" "complete" "complete"
#> [265] "missing protocol" "complete" "complete"
#> [268] "complete" "complete" "complete"
#> [271] "complete" "missing protocol" "missing interpretation"
#> [274] "complete" "complete" "complete"
#> [277] "complete" "complete" "complete"
#> [280] "complete" "missing protocol" "missing interpretation"
#> [283] "complete" "missing protocol" "complete"
#> [286] "missing protocol" "complete" "complete"
#> [289] "missing protocol" "missing protocol" "complete"
#> [292] "missing protocol" "complete" "missing protocol"
#> [295] "missing interpretation" "missing protocol" "missing protocol"
#> [298] "missing protocol" "complete" "complete"
#> [301] "complete" "missing protocol" "complete"
#> [304] "missing protocol" "missing protocol" "missing protocol"
#> [307] "missing protocol" "missing interpretation" "missing interpretation"
#> [310] "complete" "complete" "missing protocol"
#> [313] "complete" "complete" "complete"
#> [316] "complete" "complete" "complete"
#> [319] "complete" "missing interpretation" "complete"
#> [322] "complete" "complete" "complete"
#> [325] "complete" "missing interpretation" "missing protocol"
#> [328] "complete" "complete" "complete"
#> [331] "complete" "complete" "complete"
#> [334] "complete" "complete" "complete"
#> [337] "complete" "complete" "complete"
#> [340] "complete" "missing interpretation" "missing interpretation"
#> [343] "missing protocol" "missing protocol" "complete"
#> [346] "complete" "missing protocol" "complete"
#> [349] "complete" "complete" "missing interpretation"
#> [352] "missing interpretation" "incomplete" "complete"
#> [355] "missing protocol" "complete" "missing interpretation"
#> [358] "complete" "missing protocol" "missing protocol"
#> [361] "missing interpretation" "complete" "missing interpretation"
#> [364] "missing protocol" "complete" "complete"
#> [367] "complete" "missing protocol" "incomplete"
#> [370] "complete" "complete" "missing protocol"
#> [373] "complete" "missing interpretation" "complete"
#> [376] "complete" "complete" "missing interpretation"
#> [379] "missing interpretation" "complete" "complete"
#> [382] "complete" "missing protocol" "complete"
#> [385] "missing protocol" "complete" "complete"
#> [388] "missing interpretation" "complete" "complete"
#> [391] "complete" "complete" "missing interpretation"
#> [394] "missing protocol" "complete" "complete"
#> [397] "complete" "missing interpretation" "missing protocol"
#> [400] "missing protocol" "missing interpretation" "complete"
#> [403] "complete" "complete" "missing protocol"
#> [406] "missing protocol" "missing interpretation" "complete"
#> [409] "complete" "complete" "missing interpretation"
#> [412] "complete" "complete" "complete"
#> [415] "complete" "complete" "complete"
#> [418] "missing protocol" "complete" "missing interpretation"
#> [421] "complete" "complete" "complete"
#> [424] "missing protocol" "complete" "complete"
#> [427] "complete" "complete" "complete"
#> [430] "missing protocol" "missing protocol" "complete"
#> [433] "missing protocol" "missing interpretation" "complete"
#> [436] "complete" "complete" "missing protocol"
#> [439] "missing protocol" "complete" "incomplete"
#> [442] "complete" "complete" "complete"
#> [445] "complete" "complete" "complete"
#> [448] "complete" "complete" "missing interpretation"
#> [451] "complete" "complete" "missing interpretation"
#> [454] "incomplete" "missing protocol" "complete"
#> [457] "complete" "complete" "complete"
#> [460] "complete" "missing interpretation" "complete"
#> [463] "complete" "complete" "missing interpretation"
#> [466] "complete" "complete" "missing interpretation"
#> [469] "missing interpretation" "missing interpretation" "missing protocol"
#> [472] "complete" "missing interpretation" "complete"
#> [475] "complete" "missing protocol" "missing interpretation"
#> [478] "missing protocol" "missing protocol" "complete"
#> [481] "missing interpretation" "complete" "complete"
#> [484] "missing interpretation" "missing protocol" "missing interpretation"
#> [487] "complete" "missing interpretation" "complete"
#> [490] "complete" "missing protocol" "complete"
#> [493] "complete" "complete" "complete"
#> [496] "complete" "missing interpretation" "missing interpretation"
#> [499] "complete" "complete"
As illustrated in the CAPL-2 manual on page 75, the formula for computing the knowledge and understanding score is:
The get_binary()
function computes a binary score (0 = incorrect answer, 1 = correct answer) for a response to a questionnaire item based on the value(s) set as answer(s) to the item.
$pa_guideline_score <- get_binary_score(
capl_demo_data$pa_guideline,
capl_demo_datac(3, "60 minutes or 1 hour")
)
$pa_guideline_score
capl_demo_data#> [1] 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [26] 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 1 0 1 0 0 1 0
#> [51] 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1
#> [76] 0 0 0 1 1 1 0 0 1 0 0 1 0 0 1 0 1 0 0 1 1 0 0 0 1
#> [101] 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 1 1 1 0 1
#> [126] 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 1 0 0 1 1 1 0 0 0 0
#> [151] 0 0 0 0 0 0 1 1 0 0 0 1 0 1 0 0 0 0 0 1 0 1 0 0 0
#> [176] 0 1 0 1 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1
#> [201] 0 1 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0
#> [226] 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 1 1 1 0 0 1 0
#> [251] NA 1 0 1 0 0 0 0 0 1 1 1 0 1 0 1 0 0 0 0 1 0 0 0 0
#> [276] 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0
#> [301] 0 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0
#> [326] 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 1
#> [351] 1 1 0 0 0 1 0 0 0 0 1 1 0 0 0 1 1 0 0 0 0 0 0 0 0
#> [376] 1 0 0 0 0 0 1 1 0 0 0 1 1 0 1 0 1 0 0 0 0 1 0 0 0
#> [401] 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 1 0 0 0 0 0 0 0 0 0
#> [426] 0 1 1 0 1 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 0
#> [451] 0 1 1 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 1 0 1 0
#> [476] 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
The get_binary()
function computes a binary score (0 = incorrect answer, 1 = correct answer) for a response to a questionnaire item based on the value(s) set as answer(s) to the item.
$crf_means_score <- get_binary_score(
capl_demo_data$crf_means,
capl_demo_datac(2, "How well the heart can pump blood and the lungs can provide oxygen")
)
$crf_means_score
capl_demo_data#> [1] 0 0 0 1 1 0 1 0 0 0 1 1 0 0 0 1 0 0 0 0 0 1 0 0 0
#> [26] 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
#> [51] 0 0 0 1 0 1 1 1 0 0 0 0 0 0 1 0 0 0 1 1 0 1 1 0 1
#> [76] 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1
#> [101] 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0
#> [126] 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 1 1 0 0 0 0 1
#> [151] 0 0 0 1 0 1 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0
#> [176] 0 0 1 1 0 0 0 0 0 0 0 1 1 0 0 0 1 1 1 0 0 0 1 0 0
#> [201] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0
#> [226] 0 1 0 1 1 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1
#> [251] 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0
#> [276] 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 1 0 0 0
#> [301] 1 1 0 1 1 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0
#> [326] 0 1 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [351] 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 1
#> [376] 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
#> [401] 0 0 0 0 0 0 0 1 0 1 1 0 1 1 0 0 0 0 0 1 0 1 0 0 1
#> [426] 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1
#> [451] 0 0 1 1 0 0 1 1 0 0 0 0 1 1 1 0 0 0 1 0 0 0 0 1 0
#> [476] 0 0 0 1 1 1 0 0 0 0 0 0 0 1 0 0 1 0 NA 0 1 0 0 0 0
The get_binary()
function computes a binary score (0 = incorrect answer, 1 = correct answer) for a response to a questionnaire item based on the value(s) set as answer(s) to the item.
$ms_means_score <- get_binary_score(
capl_demo_data$ms_means,
capl_demo_datac(1, "How well the muscles can push, pull or stretch")
)
$ms_means_score
capl_demo_data#> [1] 0 0 1 0 0 1 1 0 0 0 1 1 1 0 1 0 0 0 0 0 0 0 0 0 0
#> [26] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0
#> [51] 0 1 1 0 1 0 1 1 0 1 0 0 0 0 1 1 1 1 0 1 1 1 0 1 0
#> [76] 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0
#> [101] 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 1 0 0 0 1 1 1 0 0
#> [126] 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
#> [151] 0 0 0 1 0 1 0 0 1 1 0 0 1 0 0 1 1 0 0 0 0 0 0 1 1
#> [176] 1 0 0 0 0 1 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [201] 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 NA 0 0 0 0 0 1 0 1 0
#> [226] 0 0 1 0 0 1 0 1 0 0 0 1 0 0 0 1 1 0 0 1 0 1 0 0 0
#> [251] 0 0 0 1 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
#> [276] 1 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [301] 0 0 0 0 0 0 1 0 0 0 1 1 0 0 1 0 0 0 0 1 1 0 0 0 0
#> [326] 0 0 0 0 0 1 0 1 0 1 1 0 1 0 0 0 1 0 1 0 0 1 0 0 0
#> [351] 0 0 1 0 0 1 0 1 0 1 0 0 1 1 0 1 0 0 1 0 0 0 0 0 0
#> [376] 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0
#> [401] 0 0 0 0 0 0 0 1 1 1 0 1 NA 0 0 0 1 1 0 0 0 0 1 0 0
#> [426] 0 1 1 0 0 1 0 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0
#> [451] 1 0 1 0 0 0 0 0 1 0 1 1 0 0 1 1 0 1 0 0 1 1 1 0 0
#> [476] 0 0 0 0 1 1 0 0 1 1 1 0 0 1 0 0 0 0 0 0 0 0 1 1 0
The get_binary()
function computes a binary score (0 = incorrect answer, 1 = correct answer) for a response to a questionnaire item based on the value(s) set as answer(s) to the item.
$sports_skill_score <- get_binary_score(
capl_demo_data$sports_skill,
capl_demo_datac(4, "Watch a video, take a lesson or have a coach teach you how to kick and catch")
)
$sports_skill_score
capl_demo_data#> [1] 0 1 1 0 0 0 0 0 1 0 1 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 1 0 0
#> [38] 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0
#> [75] 1 0 0 1 0 1 0 0 0 1 0 0 1 1 0 0 0 0 1 1 0 0 0 1 0 1 0 0 1 1 0 0 1 0 0 1 0
#> [112] 0 0 0 1 1 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0
#> [149] 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0
#> [186] 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 1 0 0 0 0 0
#> [223] 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1
#> [260] 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 1 1 1 0 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0
#> [297] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 1
#> [334] 0 0 0 1 0 0 0 1 1 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
#> [371] 1 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 1
#> [408] 1 1 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 1 0 0 0 1 0 1 0 1 0
#> [445] 1 1 1 1 0 0 0 0 1 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1
#> [482] 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1
The get_fill_in_the_blanks_score()
function computes a score that ranges from zero to five for responses to the fill in the blanks items (story about Sally) in the CAPL-2 Questionnaire. This score is used to compute the knowledge and understanding domain score.
$fill_in_the_blanks_score <- get_fill_in_the_blanks_score(
capl_demo_datapa_is = capl_demo_data$pa_is,
pa_is_also = capl_demo_data$pa_is_also,
improve = capl_demo_data$improve,
increase = capl_demo_data$increase,
when_cooling_down = capl_demo_data$when_cooling_down,
heart_rate = capl_demo_data$heart_rate
)
$fill_in_the_blanks_score
capl_demo_data#> [1] 1 5 2 5 5 3 3 3 3 4 5 4 3 4 4 3 2 2 3 4 3 3 4 1 5 4 6 4 4 4 4 4 1 4 4 2 4
#> [38] 4 3 5 4 3 4 3 5 5 4 5 2 3 4 4 2 3 6 3 3 5 5 2 6 2 2 4 2 4 3 3 6 2 3 5 5 3
#> [75] 3 2 5 2 3 3 5 4 4 4 5 5 2 3 4 3 4 5 3 1 5 5 5 4 4 4 5 3 4 2 0 3 3 4 4 3 3
#> [112] 5 3 4 4 2 2 3 6 4 3 5 5 2 3 3 5 5 3 6 4 3 2 3 3 0 3 4 3 3 3 3 4 3 3 2 5 5
#> [149] 4 5 4 3 3 5 0 3 3 4 4 2 2 3 4 1 3 3 2 3 6 3 4 4 4 6 2 4 2 3 2 5 4 3 2 5 5
#> [186] 5 3 2 5 3 3 3 3 5 6 2 4 4 3 4 4 2 5 2 4 3 4 4 1 4 3 5 4 3 3 4 3 2 0 5 4 4
#> [223] 4 5 3 6 2 5 4 2 3 3 2 4 3 4 3 2 5 3 3 5 3 3 4 5 0 3 4 4 4 4 1 2 4 4 2 3 1
#> [260] 3 5 2 3 5 4 1 3 3 3 4 3 3 3 4 3 4 5 0 5 3 3 3 3 5 6 5 3 4 3 3 6 6 2 1 2 2
#> [297] 3 5 4 4 2 1 1 1 5 2 2 5 4 3 5 4 6 3 5 2 5 3 2 5 4 5 4 4 1 3 4 6 3 3 3 5 5
#> [334] 2 3 4 3 5 5 4 4 0 4 3 4 3 3 3 4 2 3 2 3 6 5 3 5 2 4 4 5 3 2 4 3 2 3 3 5 2
#> [371] 3 3 5 6 3 3 2 5 4 4 5 4 5 4 3 2 3 5 3 5 2 4 4 4 3 2 4 3 3 2 4 3 3 3 4 2 3
#> [408] 5 2 4 3 2 4 3 3 3 3 5 3 3 4 2 4 2 4 4 5 3 3 3 3 6 5 3 4 1 4 4 5 4 2 2 2 3
#> [445] 2 4 4 4 4 1 4 3 1 5 2 5 2 6 2 6 5 3 4 2 3 4 4 3 4 4 2 3 4 2 3 3 4 3 3 4 5
#> [482] 6 5 5 6 2 4 4 3 4 2 2 3 1 3 2 3 2 3 2
The get_ku_score()
function computes a knowledge and understanding domain score that ranges from zero to 10 based on the physical activity guideline (Q1), cardiorespiratory fitness means (Q2), muscular strength and endurance means (Q3), sports skill (Q4) and fill in the blanks (Q5) scores. If one of the scores is missing or invalid, a weighted domain score will be computed from the other four scores. This score is used to compute the overall physical literacy score.
$ku_score <- get_ku_score(
capl_demo_datapa_guideline_score = capl_demo_data$pa_guideline_score,
crf_means_score = capl_demo_data$crf_means_score,
ms_means_score = capl_demo_data$ms_means_score,
sports_skill_score = capl_demo_data$sports_skill_score,
fill_in_the_blanks_score = capl_demo_data$fill_in_the_blanks_score
)
$ku_score
capl_demo_data#> [1] 1.000000 7.000000 4.000000 6.000000 6.000000 4.000000 6.000000 3.000000
#> [9] 4.000000 4.000000 8.000000 6.000000 4.000000 4.000000 6.000000 4.000000
#> [17] 2.000000 3.000000 4.000000 4.000000 3.000000 4.000000 4.000000 1.000000
#> [25] 5.000000 5.000000 7.000000 5.000000 5.000000 5.000000 4.000000 5.000000
#> [33] 1.000000 5.000000 6.000000 2.000000 4.000000 4.000000 3.000000 6.000000
#> [41] 4.000000 3.000000 5.000000 4.000000 6.000000 7.000000 4.000000 7.000000
#> [49] 3.000000 3.000000 4.000000 5.000000 3.000000 4.000000 7.000000 4.000000
#> [57] 6.000000 7.000000 6.000000 4.000000 6.000000 2.000000 2.000000 4.000000
#> [65] 4.000000 5.000000 5.000000 6.000000 8.000000 4.000000 4.000000 7.000000
#> [73] 7.000000 4.000000 6.000000 2.000000 5.000000 3.000000 4.000000 5.000000
#> [81] 7.000000 5.000000 5.000000 6.000000 5.000000 5.000000 4.000000 5.000000
#> [89] 4.000000 4.000000 5.000000 7.000000 5.000000 2.000000 7.000000 6.000000
#> [97] 5.000000 5.000000 4.000000 7.000000 7.000000 4.000000 7.000000 4.000000
#> [105] 1.000000 3.000000 5.000000 4.000000 4.000000 4.000000 4.000000 5.000000
#> [113] 3.000000 5.000000 5.000000 5.000000 4.000000 3.000000 7.000000 5.000000
#> [121] 6.000000 8.000000 7.000000 2.000000 4.000000 3.000000 5.000000 7.000000
#> [129] 3.000000 7.000000 5.000000 3.000000 4.000000 3.000000 3.000000 0.000000
#> [137] 4.000000 4.000000 4.000000 4.000000 5.000000 4.000000 4.000000 6.000000
#> [145] 5.000000 4.000000 5.000000 6.000000 4.000000 6.000000 4.000000 3.000000
#> [153] 3.000000 7.000000 0.000000 5.000000 4.000000 6.000000 5.000000 4.000000
#> [161] 3.000000 5.000000 7.000000 2.000000 3.000000 4.000000 4.000000 3.000000
#> [169] 6.000000 4.000000 5.000000 5.000000 4.000000 7.000000 3.000000 6.000000
#> [177] 3.000000 4.000000 4.000000 5.000000 5.000000 5.000000 3.000000 7.000000
#> [185] 5.000000 6.000000 4.000000 3.000000 6.000000 3.000000 4.000000 4.000000
#> [193] 5.000000 6.000000 6.000000 2.000000 4.000000 5.000000 4.000000 5.000000
#> [201] 4.000000 3.000000 5.000000 2.000000 4.000000 3.000000 5.000000 5.000000
#> [209] 2.000000 4.000000 3.000000 6.000000 5.000000 3.000000 6.000000 4.444444
#> [217] 4.000000 2.000000 1.000000 5.000000 4.000000 6.000000 4.000000 8.000000
#> [225] 3.000000 6.000000 3.000000 6.000000 5.000000 4.000000 4.000000 4.000000
#> [233] 5.000000 4.000000 4.000000 5.000000 4.000000 2.000000 5.000000 3.000000
#> [241] 6.000000 6.000000 3.000000 4.000000 6.000000 7.000000 1.000000 3.000000
#> [249] 5.000000 5.000000 5.555556 5.000000 1.000000 4.000000 4.000000 4.000000
#> [257] 2.000000 5.000000 3.000000 5.000000 6.000000 4.000000 4.000000 8.000000
#> [265] 4.000000 2.000000 3.000000 3.000000 3.000000 4.000000 4.000000 3.000000
#> [273] 4.000000 5.000000 3.000000 5.000000 7.000000 2.000000 6.000000 6.000000
#> [281] 3.000000 4.000000 3.000000 6.000000 6.000000 7.000000 5.000000 4.000000
#> [289] 3.000000 3.000000 7.000000 7.000000 3.000000 2.000000 2.000000 2.000000
#> [297] 4.000000 6.000000 5.000000 4.000000 3.000000 3.000000 2.000000 3.000000
#> [305] 6.000000 2.000000 5.000000 5.000000 4.000000 4.000000 7.000000 5.000000
#> [313] 8.000000 3.000000 7.000000 2.000000 5.000000 4.000000 2.000000 6.000000
#> [321] 7.000000 5.000000 4.000000 6.000000 1.000000 3.000000 6.000000 6.000000
#> [329] 3.000000 5.000000 4.000000 5.000000 7.000000 3.000000 4.000000 6.000000
#> [337] 4.000000 6.000000 5.000000 4.000000 5.000000 2.000000 4.000000 5.000000
#> [345] 4.000000 5.000000 5.000000 4.000000 4.000000 3.000000 4.000000 3.000000
#> [353] 5.000000 6.000000 5.000000 6.000000 5.000000 4.000000 4.000000 5.000000
#> [361] 6.000000 4.000000 4.000000 5.000000 3.000000 4.000000 4.000000 4.000000
#> [369] 6.000000 3.000000 4.000000 3.000000 5.000000 7.000000 5.000000 5.000000
#> [377] 3.000000 5.000000 5.000000 5.000000 6.000000 5.000000 7.000000 4.000000
#> [385] 3.000000 3.000000 5.000000 6.000000 4.000000 6.000000 3.000000 5.000000
#> [393] 4.000000 4.000000 4.000000 3.000000 5.000000 5.000000 3.000000 2.000000
#> [401] 6.000000 3.000000 3.000000 4.000000 4.000000 2.000000 4.000000 9.000000
#> [409] 4.000000 6.000000 6.000000 3.000000 5.555556 6.000000 4.000000 4.000000
#> [417] 4.000000 6.000000 3.000000 4.000000 4.000000 3.000000 5.000000 2.000000
#> [425] 6.000000 6.000000 7.000000 6.000000 3.000000 5.000000 4.000000 7.000000
#> [433] 5.000000 3.000000 7.000000 1.000000 4.000000 5.000000 6.000000 5.000000
#> [441] 3.000000 4.000000 4.000000 3.000000 3.000000 6.000000 6.000000 7.000000
#> [449] 5.000000 2.000000 5.000000 4.000000 5.000000 7.000000 2.000000 6.000000
#> [457] 3.000000 7.000000 4.000000 7.000000 6.000000 4.000000 5.000000 3.000000
#> [465] 6.000000 6.000000 4.000000 4.000000 5.000000 4.000000 3.000000 5.000000
#> [473] 5.000000 5.000000 3.000000 3.000000 5.000000 3.000000 5.000000 6.000000
#> [481] 8.000000 6.000000 6.000000 7.000000 7.000000 3.000000 5.000000 4.000000
#> [489] 5.000000 4.000000 2.000000 3.000000 3.000000 1.111111 3.000000 3.000000
#> [497] 3.000000 4.000000 4.000000 3.000000
The get_capl_interpretation()
function computes an age- and gender-specific CAPL-2 interpretation for a given CAPL-2 protocol or domain score.
$ku_interpretation <- get_capl_interpretation(
capl_demo_dataage = capl_demo_data$age,
gender = capl_demo_data$gender,
score = capl_demo_data$ku_score,
protocol = "ku"
)
$ku_interpretation
capl_demo_data#> [1] "beginning" "achieving" "beginning" "progressing" "progressing"
#> [6] "beginning" "progressing" "beginning" "beginning" "beginning"
#> [11] NA "progressing" NA NA "progressing"
#> [16] "beginning" "beginning" "beginning" "beginning" "beginning"
#> [21] "beginning" "beginning" "beginning" NA NA
#> [26] NA "progressing" NA "beginning" "progressing"
#> [31] "beginning" "beginning" "beginning" NA "progressing"
#> [36] NA NA "beginning" "beginning" "progressing"
#> [41] "beginning" "beginning" "progressing" "beginning" "progressing"
#> [46] "achieving" "beginning" "achieving" NA NA
#> [51] "beginning" "beginning" "beginning" "beginning" "achieving"
#> [56] "beginning" "progressing" "achieving" "progressing" "beginning"
#> [61] "progressing" NA "beginning" "beginning" "beginning"
#> [66] NA "progressing" "progressing" NA "beginning"
#> [71] "beginning" "achieving" "progressing" "beginning" NA
#> [76] "beginning" NA "beginning" "beginning" "beginning"
#> [81] NA "progressing" "progressing" "progressing" "beginning"
#> [86] NA "beginning" "progressing" "beginning" "beginning"
#> [91] "progressing" "progressing" NA NA NA
#> [96] "progressing" NA "progressing" "beginning" "progressing"
#> [101] "progressing" "beginning" "progressing" NA "beginning"
#> [106] "beginning" "progressing" "beginning" "beginning" "beginning"
#> [111] "beginning" "progressing" "beginning" NA "progressing"
#> [116] "progressing" "beginning" "beginning" "progressing" "beginning"
#> [121] NA "achieving" "achieving" "beginning" "beginning"
#> [126] NA "progressing" NA NA "progressing"
#> [131] "progressing" NA "beginning" "beginning" "beginning"
#> [136] "beginning" "beginning" "beginning" "beginning" "beginning"
#> [141] "progressing" "beginning" "beginning" "progressing" "beginning"
#> [146] "beginning" NA NA "beginning" "progressing"
#> [151] "beginning" "beginning" "beginning" "progressing" "beginning"
#> [156] "progressing" "beginning" "progressing" "progressing" "beginning"
#> [161] NA "progressing" "achieving" "beginning" NA
#> [166] "beginning" "beginning" NA "progressing" "beginning"
#> [171] "beginning" "beginning" "beginning" "progressing" "beginning"
#> [176] "progressing" "beginning" NA NA "beginning"
#> [181] "progressing" NA "beginning" NA "beginning"
#> [186] "progressing" "beginning" "beginning" "progressing" NA
#> [191] "beginning" "beginning" "beginning" "progressing" NA
#> [196] "beginning" "beginning" "progressing" "beginning" NA
#> [201] "beginning" "beginning" "progressing" "beginning" "beginning"
#> [206] "beginning" "progressing" "beginning" "beginning" NA
#> [211] NA "progressing" "beginning" "beginning" "progressing"
#> [216] "beginning" NA "beginning" "beginning" "progressing"
#> [221] "beginning" "progressing" NA NA "beginning"
#> [226] "progressing" "beginning" NA "progressing" NA
#> [231] "beginning" "beginning" "progressing" "beginning" "beginning"
#> [236] "beginning" "beginning" "beginning" "beginning" "beginning"
#> [241] "progressing" "progressing" NA NA NA
#> [246] "progressing" "beginning" NA NA "progressing"
#> [251] NA "progressing" NA "beginning" "beginning"
#> [256] "beginning" "beginning" "beginning" "beginning" NA
#> [261] "progressing" "beginning" "beginning" "excelling" "beginning"
#> [266] "beginning" "beginning" "beginning" "beginning" "beginning"
#> [271] "beginning" "beginning" NA "beginning" "beginning"
#> [276] "progressing" "progressing" "beginning" "progressing" "progressing"
#> [281] "beginning" NA "beginning" "progressing" "progressing"
#> [286] "achieving" "progressing" "beginning" "beginning" "beginning"
#> [291] "progressing" "progressing" "beginning" "beginning" NA
#> [296] "beginning" "beginning" "progressing" "progressing" "beginning"
#> [301] "beginning" "beginning" "beginning" "beginning" "progressing"
#> [306] "beginning" "progressing" NA NA "beginning"
#> [311] "achieving" "beginning" "achieving" "beginning" "progressing"
#> [316] "beginning" "beginning" "beginning" "beginning" NA
#> [321] "progressing" "progressing" "beginning" "progressing" "beginning"
#> [326] NA "progressing" "progressing" "beginning" "progressing"
#> [331] "beginning" "progressing" "progressing" "beginning" "beginning"
#> [336] "progressing" "beginning" "progressing" "beginning" "beginning"
#> [341] NA NA "beginning" "beginning" "beginning"
#> [346] "beginning" "progressing" "beginning" "beginning" "beginning"
#> [351] NA NA "beginning" "progressing" "beginning"
#> [356] "progressing" NA "beginning" "beginning" "progressing"
#> [361] NA "beginning" NA "progressing" "beginning"
#> [366] "beginning" "beginning" "beginning" "progressing" "beginning"
#> [371] "beginning" "beginning" "progressing" NA "beginning"
#> [376] "progressing" "beginning" NA NA "beginning"
#> [381] "progressing" "beginning" "progressing" "beginning" "beginning"
#> [386] "beginning" "progressing" NA "beginning" "progressing"
#> [391] "beginning" "progressing" NA "beginning" "beginning"
#> [396] "beginning" "beginning" NA "beginning" "beginning"
#> [401] NA "beginning" "beginning" "beginning" "beginning"
#> [406] "beginning" NA "excelling" "beginning" "progressing"
#> [411] NA "beginning" "progressing" "progressing" "beginning"
#> [416] "beginning" "beginning" "progressing" "beginning" NA
#> [421] "beginning" "beginning" "progressing" "beginning" "progressing"
#> [426] "progressing" "progressing" "progressing" "beginning" "beginning"
#> [431] "beginning" "progressing" "beginning" NA "progressing"
#> [436] "beginning" "beginning" "progressing" "progressing" "beginning"
#> [441] "beginning" "beginning" "beginning" "beginning" "beginning"
#> [446] "progressing" "progressing" "achieving" "beginning" NA
#> [451] "beginning" "beginning" NA "achieving" "beginning"
#> [456] "progressing" "beginning" "progressing" "beginning" "progressing"
#> [461] NA "beginning" "beginning" "beginning" NA
#> [466] "progressing" "beginning" NA NA NA
#> [471] "beginning" "beginning" NA "beginning" "beginning"
#> [476] "beginning" NA "beginning" "progressing" "progressing"
#> [481] NA "progressing" "progressing" NA "progressing"
#> [486] NA "beginning" NA "beginning" "beginning"
#> [491] "beginning" "beginning" "beginning" "beginning" "beginning"
#> [496] "beginning" NA NA "beginning" "beginning"
The get_capl_domain_status()
function computes the status (“complete”, “missing interpretation”, “missing protocol” or “incomplete”) of a CAPL domain.
$ku_status <- get_capl_domain_status(
capl_demo_datax = capl_demo_data,
domain = "ku"
)
$ku_status
capl_demo_data#> [1] "complete" "complete" "complete"
#> [4] "complete" "complete" "complete"
#> [7] "complete" "complete" "complete"
#> [10] "complete" "missing interpretation" "complete"
#> [13] "missing interpretation" "missing interpretation" "complete"
#> [16] "complete" "complete" "complete"
#> [19] "complete" "complete" "complete"
#> [22] "complete" "complete" "missing interpretation"
#> [25] "missing interpretation" "missing interpretation" "complete"
#> [28] "missing interpretation" "complete" "complete"
#> [31] "complete" "complete" "complete"
#> [34] "missing interpretation" "complete" "missing interpretation"
#> [37] "missing interpretation" "complete" "complete"
#> [40] "complete" "complete" "complete"
#> [43] "complete" "complete" "complete"
#> [46] "complete" "complete" "complete"
#> [49] "missing interpretation" "missing interpretation" "complete"
#> [52] "complete" "complete" "complete"
#> [55] "complete" "complete" "complete"
#> [58] "complete" "complete" "complete"
#> [61] "complete" "missing interpretation" "complete"
#> [64] "complete" "complete" "missing interpretation"
#> [67] "complete" "complete" "missing interpretation"
#> [70] "complete" "complete" "complete"
#> [73] "complete" "complete" "missing interpretation"
#> [76] "complete" "missing interpretation" "complete"
#> [79] "complete" "complete" "missing interpretation"
#> [82] "complete" "complete" "complete"
#> [85] "complete" "missing interpretation" "complete"
#> [88] "complete" "complete" "complete"
#> [91] "complete" "complete" "missing interpretation"
#> [94] "missing interpretation" "missing interpretation" "complete"
#> [97] "missing interpretation" "complete" "complete"
#> [100] "complete" "complete" "complete"
#> [103] "complete" "missing interpretation" "complete"
#> [106] "complete" "complete" "complete"
#> [109] "complete" "complete" "complete"
#> [112] "complete" "complete" "missing interpretation"
#> [115] "complete" "complete" "complete"
#> [118] "complete" "complete" "complete"
#> [121] "missing interpretation" "complete" "complete"
#> [124] "complete" "complete" "missing interpretation"
#> [127] "complete" "missing interpretation" "missing interpretation"
#> [130] "complete" "complete" "missing interpretation"
#> [133] "complete" "complete" "complete"
#> [136] "complete" "complete" "complete"
#> [139] "complete" "complete" "complete"
#> [142] "complete" "complete" "complete"
#> [145] "complete" "complete" "missing interpretation"
#> [148] "missing interpretation" "complete" "complete"
#> [151] "complete" "complete" "complete"
#> [154] "complete" "complete" "complete"
#> [157] "complete" "complete" "complete"
#> [160] "complete" "missing interpretation" "complete"
#> [163] "complete" "complete" "missing interpretation"
#> [166] "complete" "complete" "missing interpretation"
#> [169] "complete" "complete" "complete"
#> [172] "complete" "complete" "complete"
#> [175] "complete" "complete" "complete"
#> [178] "missing interpretation" "missing interpretation" "complete"
#> [181] "complete" "missing interpretation" "complete"
#> [184] "missing interpretation" "complete" "complete"
#> [187] "complete" "complete" "complete"
#> [190] "missing interpretation" "complete" "complete"
#> [193] "complete" "complete" "missing interpretation"
#> [196] "complete" "complete" "complete"
#> [199] "complete" "missing interpretation" "complete"
#> [202] "complete" "complete" "complete"
#> [205] "complete" "complete" "complete"
#> [208] "complete" "complete" "missing interpretation"
#> [211] "missing interpretation" "complete" "complete"
#> [214] "complete" "complete" "missing protocol"
#> [217] "missing interpretation" "complete" "complete"
#> [220] "complete" "complete" "complete"
#> [223] "missing interpretation" "missing interpretation" "complete"
#> [226] "complete" "complete" "missing interpretation"
#> [229] "complete" "missing interpretation" "complete"
#> [232] "complete" "complete" "complete"
#> [235] "complete" "complete" "complete"
#> [238] "complete" "complete" "complete"
#> [241] "complete" "complete" "missing interpretation"
#> [244] "missing interpretation" "missing interpretation" "complete"
#> [247] "complete" "missing interpretation" "missing interpretation"
#> [250] "complete" "missing interpretation" "complete"
#> [253] "missing interpretation" "complete" "complete"
#> [256] "complete" "complete" "complete"
#> [259] "complete" "missing interpretation" "complete"
#> [262] "complete" "complete" "complete"
#> [265] "complete" "complete" "complete"
#> [268] "complete" "complete" "complete"
#> [271] "complete" "complete" "missing interpretation"
#> [274] "complete" "complete" "complete"
#> [277] "complete" "complete" "complete"
#> [280] "complete" "complete" "missing interpretation"
#> [283] "complete" "complete" "complete"
#> [286] "complete" "complete" "complete"
#> [289] "complete" "complete" "complete"
#> [292] "complete" "complete" "complete"
#> [295] "missing interpretation" "complete" "complete"
#> [298] "complete" "complete" "complete"
#> [301] "complete" "complete" "complete"
#> [304] "complete" "complete" "complete"
#> [307] "complete" "missing interpretation" "missing interpretation"
#> [310] "complete" "complete" "complete"
#> [313] "complete" "complete" "complete"
#> [316] "complete" "complete" "complete"
#> [319] "complete" "missing interpretation" "complete"
#> [322] "complete" "complete" "complete"
#> [325] "complete" "missing interpretation" "complete"
#> [328] "complete" "complete" "complete"
#> [331] "complete" "complete" "complete"
#> [334] "complete" "complete" "complete"
#> [337] "complete" "complete" "complete"
#> [340] "complete" "missing interpretation" "missing interpretation"
#> [343] "complete" "complete" "complete"
#> [346] "complete" "complete" "complete"
#> [349] "complete" "complete" "missing interpretation"
#> [352] "missing interpretation" "complete" "complete"
#> [355] "complete" "complete" "missing interpretation"
#> [358] "complete" "complete" "complete"
#> [361] "missing interpretation" "complete" "missing interpretation"
#> [364] "complete" "complete" "complete"
#> [367] "complete" "complete" "complete"
#> [370] "complete" "complete" "complete"
#> [373] "complete" "missing interpretation" "complete"
#> [376] "complete" "complete" "missing interpretation"
#> [379] "missing interpretation" "complete" "complete"
#> [382] "complete" "complete" "complete"
#> [385] "complete" "complete" "complete"
#> [388] "missing interpretation" "complete" "complete"
#> [391] "complete" "complete" "missing interpretation"
#> [394] "complete" "complete" "complete"
#> [397] "complete" "missing interpretation" "complete"
#> [400] "complete" "missing interpretation" "complete"
#> [403] "complete" "complete" "complete"
#> [406] "complete" "missing interpretation" "complete"
#> [409] "complete" "complete" "missing interpretation"
#> [412] "complete" "missing protocol" "complete"
#> [415] "complete" "complete" "complete"
#> [418] "complete" "complete" "missing interpretation"
#> [421] "complete" "complete" "complete"
#> [424] "complete" "complete" "complete"
#> [427] "complete" "complete" "complete"
#> [430] "complete" "complete" "complete"
#> [433] "complete" "missing interpretation" "complete"
#> [436] "complete" "complete" "complete"
#> [439] "complete" "complete" "complete"
#> [442] "complete" "complete" "complete"
#> [445] "complete" "complete" "complete"
#> [448] "complete" "complete" "missing interpretation"
#> [451] "complete" "complete" "missing interpretation"
#> [454] "complete" "complete" "complete"
#> [457] "complete" "complete" "complete"
#> [460] "complete" "missing interpretation" "complete"
#> [463] "complete" "complete" "missing interpretation"
#> [466] "complete" "complete" "missing interpretation"
#> [469] "missing interpretation" "missing interpretation" "complete"
#> [472] "complete" "missing interpretation" "complete"
#> [475] "complete" "complete" "missing interpretation"
#> [478] "complete" "complete" "complete"
#> [481] "missing interpretation" "complete" "complete"
#> [484] "missing interpretation" "complete" "missing interpretation"
#> [487] "complete" "missing interpretation" "complete"
#> [490] "complete" "complete" "complete"
#> [493] "complete" "missing protocol" "complete"
#> [496] "complete" "missing interpretation" "missing interpretation"
#> [499] "complete" "complete"
As illustrated in the CAPL-2 manual on page 17, the formula for computing the overall physical literacy score is:
The get_capl_score()
function computes an overall physical literacy score that ranges from zero to 100 based on the physical competence, daily behaviour, motivation and confidence, and knowledge and understanding domain scores. If one of the scores is missing or invalid, a weighted score will be computed from the other three scores.
$capl_score <- get_capl_score(
capl_demo_datapc_score = capl_demo_data$pc_score,
db_score = capl_demo_data$db_score,
mc_score = capl_demo_data$mc_score,
ku_score = capl_demo_data$ku_score
)
$capl_score
capl_demo_data#> [1] 54.28571 76.90000 60.00000 68.80000 79.00000 63.00000 52.00000 71.26667
#> [9] 58.40000 74.66667 83.14286 67.90000 67.50000 64.10000 54.85714 83.60000
#> [17] 74.60000 77.10000 68.40000 78.80000 75.00000 71.40000 70.83333 64.42857
#> [25] 68.10000 80.46667 83.30000 68.20000 79.10000 71.30000 65.60000 51.50000
#> [33] 65.60000 69.23333 79.33333 75.40000 74.20000 80.00000 77.10000 61.10000
#> [41] 69.30000 81.50000 68.00000 84.50000 81.42857 73.00000 52.00000 86.38095
#> [49] 64.30000 68.93333 70.10000 83.33333 74.40000 75.50000 79.86667 82.30000
#> [57] 62.90000 79.20000 86.13333 71.70000 82.50000 67.80000 59.50000 68.14286
#> [65] 65.80000 79.40000 32.90000 76.30000 71.60000 64.14286 73.04762 67.70000
#> [73] 71.20000 69.71429 67.50000 75.60000 69.40000 47.40000 60.00000 51.28571
#> [81] 76.80000 78.20000 71.20000 69.10000 65.30000 74.76667 78.00000 88.57143
#> [89] 69.90000 58.10000 62.10000 81.30000 74.00000 74.90000 51.60000 75.26667
#> [97] 76.50000 67.90000 77.30000 77.42857 77.40000 77.30000 67.50000 79.30000
#> [105] 61.30000 52.40000 65.36667 78.10000 NA 59.70000 81.80000 61.16667
#> [113] 82.40000 81.20000 55.40000 72.14286 75.10000 71.20000 68.60000 61.60000
#> [121] 76.00000 85.90000 72.85714 69.60000 72.20000 75.40000 67.80000 78.70000
#> [129] 65.93333 66.00000 68.96667 78.00000 74.80000 61.13333 63.50000 80.10000
#> [137] 76.83333 60.00000 73.50000 65.90000 61.42857 83.10000 65.71429 79.00000
#> [145] 64.90000 54.80000 76.40000 87.20000 54.95238 71.90000 60.90000 68.60000
#> [153] 76.90000 68.20000 57.40000 83.90000 64.90000 73.70000 69.90000 75.71429
#> [161] 73.70000 67.40000 78.30000 52.20000 62.90000 70.70000 82.13333 67.40000
#> [169] 59.33333 73.00000 81.00000 67.06667 57.90000 82.85714 82.70000 64.28571
#> [177] 81.60000 83.90000 76.00000 68.60000 56.70000 57.60000 72.80000 81.80000
#> [185] 80.90000 75.70000 84.20000 81.93333 74.70000 76.60000 69.80000 61.00000
#> [193] 62.60000 61.60000 78.60000 57.85714 73.06667 63.70000 74.33333 63.70000
#> [201] 38.70000 46.20000 60.90000 69.20000 82.90000 63.23333 79.90000 67.90000
#> [209] 70.00000 62.40000 79.50000 64.50000 77.20000 79.86667 74.86667 70.92063
#> [217] 70.40000 58.80000 73.30000 72.60000 71.00000 66.80000 55.85714 87.00000
#> [225] 62.00000 84.20000 78.86667 73.20000 64.00000 70.10000 54.66667 59.20000
#> [233] 65.90000 NA 82.40000 72.60000 57.13333 60.38095 73.00000 74.46667
#> [241] 77.30000 63.30000 68.30000 77.00000 78.90000 86.90000 61.30000 76.66667
#> [249] 73.42857 77.80000 63.25556 56.73333 66.40000 81.50000 65.71429 88.57143
#> [257] 75.00000 68.20000 72.57143 79.50000 85.10000 69.10000 67.20000 75.57143
#> [265] 74.53333 60.10000 61.40000 76.00000 78.20000 70.70000 63.96667 65.66667
#> [273] 84.46667 72.30000 63.40000 70.80000 71.80000 72.90000 84.10000 79.90000
#> [281] 71.33333 60.90000 67.10000 78.60000 78.60000 86.06667 79.70000 61.60000
#> [289] 69.73333 77.06667 74.00000 75.71429 56.20000 74.06667 68.70000 63.26667
#> [297] 76.53333 63.86667 74.10000 81.40000 64.50000 75.83333 69.20000 72.53333
#> [305] 82.40000 71.80952 83.80000 77.53333 77.14286 77.20000 74.90000 71.40000
#> [313] 80.00000 69.60000 64.40000 64.60000 77.00000 81.30000 68.90000 76.20000
#> [321] 82.70000 73.90000 71.33333 77.70000 76.90000 65.90000 62.63333 48.60000
#> [329] 60.20000 78.60000 69.50000 76.30000 66.60000 74.20000 78.10000 65.70000
#> [337] 53.70000 78.00000 70.70000 68.42857 58.60000 78.40000 74.00000 67.46667
#> [345] 68.70000 78.30000 78.80000 62.70000 52.71429 79.40000 61.53333 75.50000
#> [353] 71.42857 80.90000 74.70000 69.60000 74.60000 85.40000 76.80000 79.13333
#> [361] 78.20000 82.60000 53.40000 78.43333 78.50000 75.70000 66.00000 63.46667
#> [369] NA 82.30000 69.10000 67.50000 52.50000 80.10000 66.90000 73.70000
#> [377] 70.60000 76.85714 65.10000 74.70000 76.10000 71.60000 83.06667 80.70000
#> [385] 66.95238 79.70000 80.60000 64.42857 59.50000 66.00000 74.60000 81.70000
#> [393] 75.50000 81.33333 81.60000 59.85714 67.70000 72.00000 65.30000 70.00000
#> [401] 66.80000 70.20000 79.90000 80.70000 77.13333 60.20000 83.90000 83.70000
#> [409] 81.20000 83.00000 80.50000 66.85714 69.35556 66.40000 78.90000 65.30000
#> [417] 75.80000 61.46667 76.90000 76.40000 66.00000 54.10000 61.40000 66.46667
#> [425] 48.10000 86.40000 67.00000 73.80000 82.20000 74.46667 64.83333 81.85714
#> [433] 65.50000 76.80000 82.30000 73.90000 72.30000 80.60000 84.93333 63.90000
#> [441] 64.28571 69.57143 51.40000 77.40000 64.00000 78.80000 78.80000 63.30000
#> [449] 83.80000 55.04762 77.60000 64.40000 66.71429 90.00000 58.60000 77.53333
#> [457] 63.10000 88.10000 70.90000 69.50000 61.90000 71.30000 81.80000 65.40000
#> [465] 67.70000 39.10000 55.50000 60.80000 63.85714 61.93333 58.43333 81.60000
#> [473] 81.00000 79.42857 68.40000 49.33333 58.60000 77.13333 73.80000 71.00000
#> [481] 86.50000 72.80000 71.57143 73.40000 77.53333 70.14286 69.60000 64.30000
#> [489] 78.70000 68.20000 66.86667 57.20000 71.40000 78.11111 63.73333 57.14286
#> [497] 68.42857 62.80000 71.60000 49.42857
The get_capl_interpretation()
function computes an age- and gender-specific CAPL-2 interpretation for a given CAPL-2 protocol or domain score.
$capl_interpretation <- get_capl_interpretation(
capl_demo_dataage = capl_demo_data$age,
gender = capl_demo_data$gender,
score = capl_demo_data$capl_score,
protocol = "capl"
)
$capl_interpretation
capl_demo_data#> [1] "progressing" "excelling" "progressing" "achieving" "achieving"
#> [6] "progressing" "beginning" "achieving" "progressing" "excelling"
#> [11] NA "progressing" NA NA "progressing"
#> [16] "excelling" "achieving" "excelling" "progressing" "excelling"
#> [21] "achieving" "achieving" "achieving" NA NA
#> [26] NA "excelling" NA "excelling" "achieving"
#> [31] "progressing" "progressing" "progressing" NA "excelling"
#> [36] NA NA "excelling" "excelling" "progressing"
#> [41] "achieving" "excelling" "achieving" "excelling" "excelling"
#> [46] "achieving" "progressing" "excelling" NA NA
#> [51] "achieving" "excelling" "excelling" "achieving" "excelling"
#> [56] "excelling" "progressing" "excelling" "excelling" "achieving"
#> [61] "excelling" NA "progressing" "achieving" "achieving"
#> [66] NA "beginning" "excelling" NA "progressing"
#> [71] "excelling" "achieving" "achieving" "achieving" NA
#> [76] "excelling" NA "beginning" "progressing" "progressing"
#> [81] NA "excelling" "achieving" "progressing" "progressing"
#> [86] NA "excelling" "excelling" "achieving" "progressing"
#> [91] "progressing" "excelling" NA NA NA
#> [96] "achieving" NA "achieving" "excelling" "excelling"
#> [101] "excelling" "excelling" "progressing" NA "progressing"
#> [106] "progressing" "progressing" "excelling" NA "progressing"
#> [111] "excelling" "progressing" "excelling" NA "progressing"
#> [116] "achieving" "excelling" "achieving" "progressing" "progressing"
#> [121] NA "excelling" "achieving" "achieving" "achieving"
#> [126] NA "achieving" NA NA "progressing"
#> [131] "achieving" NA "achieving" "progressing" "progressing"
#> [136] "excelling" "excelling" "progressing" "achieving" "progressing"
#> [141] "progressing" "excelling" "progressing" "excelling" "progressing"
#> [146] "progressing" NA NA "progressing" "achieving"
#> [151] "progressing" "achieving" "achieving" "progressing" "progressing"
#> [156] "excelling" "progressing" "achieving" "achieving" "excelling"
#> [161] NA "progressing" "excelling" "progressing" NA
#> [166] "achieving" "excelling" NA "progressing" "achieving"
#> [171] "excelling" "achieving" "progressing" "excelling" "excelling"
#> [176] "progressing" "excelling" NA NA "progressing"
#> [181] "progressing" NA "achieving" NA "excelling"
#> [186] "excelling" "excelling" "excelling" "excelling" NA
#> [191] "achieving" "progressing" "progressing" "progressing" NA
#> [196] "progressing" "achieving" "progressing" "excelling" NA
#> [201] "beginning" "beginning" "progressing" "achieving" "excelling"
#> [206] "progressing" "excelling" "progressing" "achieving" NA
#> [211] NA "progressing" "excelling" "excelling" "excelling"
#> [216] "achieving" NA "progressing" "achieving" "excelling"
#> [221] "achieving" "progressing" NA NA "progressing"
#> [226] "excelling" "excelling" NA "progressing" NA
#> [231] "progressing" "progressing" "progressing" NA "excelling"
#> [236] "achieving" "progressing" "progressing" "achieving" "excelling"
#> [241] "excelling" "progressing" NA NA NA
#> [246] "excelling" "progressing" NA NA "excelling"
#> [251] NA "progressing" NA "excelling" "achieving"
#> [256] "excelling" "achieving" "achieving" "achieving" NA
#> [261] "excelling" "achieving" "achieving" "excelling" "excelling"
#> [266] "progressing" "progressing" "achieving" "excelling" "achieving"
#> [271] "progressing" "progressing" NA "achieving" "progressing"
#> [276] "achieving" "achieving" "achieving" "excelling" "excelling"
#> [281] "achieving" NA "progressing" "excelling" "excelling"
#> [286] "excelling" "excelling" "progressing" "achieving" "excelling"
#> [291] "achieving" "achieving" "progressing" "achieving" NA
#> [296] "progressing" "excelling" "progressing" "excelling" "excelling"
#> [301] "progressing" "achieving" "progressing" "achieving" "excelling"
#> [306] "excelling" "excelling" NA NA "excelling"
#> [311] "excelling" "achieving" "excelling" "achieving" "progressing"
#> [316] "progressing" "excelling" "excelling" "progressing" NA
#> [321] "excelling" "excelling" "achieving" "excelling" "excelling"
#> [326] NA "progressing" "beginning" "progressing" "excelling"
#> [331] "achieving" "excelling" "progressing" "achieving" "excelling"
#> [336] "progressing" "progressing" "excelling" "achieving" "progressing"
#> [341] NA NA "excelling" "achieving" "achieving"
#> [346] "excelling" "excelling" "progressing" "progressing" "excelling"
#> [351] NA NA "achieving" "excelling" "achieving"
#> [356] "achieving" NA "excelling" "excelling" "excelling"
#> [361] NA "excelling" NA "excelling" "excelling"
#> [366] "excelling" "progressing" "progressing" NA "excelling"
#> [371] "achieving" "achieving" "progressing" NA "achieving"
#> [376] "achieving" "achieving" NA NA "achieving"
#> [381] "achieving" "achieving" "excelling" "excelling" "achieving"
#> [386] "excelling" "excelling" NA "progressing" "progressing"
#> [391] "excelling" "excelling" NA "excelling" "excelling"
#> [396] "progressing" "achieving" NA "progressing" "achieving"
#> [401] NA "achieving" "excelling" "excelling" "excelling"
#> [406] "progressing" NA "excelling" "excelling" "excelling"
#> [411] NA "achieving" "achieving" "progressing" "achieving"
#> [416] "progressing" "excelling" "progressing" "excelling" NA
#> [421] "progressing" "progressing" "progressing" "achieving" "beginning"
#> [426] "excelling" "progressing" "excelling" "excelling" "achieving"
#> [431] "progressing" "excelling" "progressing" NA "excelling"
#> [436] "achieving" "achieving" "excelling" "excelling" "progressing"
#> [441] "progressing" "achieving" "progressing" "achieving" "progressing"
#> [446] "excelling" "excelling" "progressing" "excelling" NA
#> [451] "excelling" "progressing" NA "excelling" "progressing"
#> [456] "achieving" "progressing" "excelling" "achieving" "achieving"
#> [461] NA "achieving" "excelling" "achieving" NA
#> [466] "beginning" "progressing" NA NA NA
#> [471] "progressing" "excelling" NA "excelling" "achieving"
#> [476] "beginning" NA "excelling" "achieving" "progressing"
#> [481] NA "excelling" "achieving" NA "excelling"
#> [486] NA "achieving" NA "achieving" "progressing"
#> [491] "progressing" "progressing" "achieving" "excelling" "progressing"
#> [496] "progressing" NA NA "achieving" "beginning"
The get_capl_domain_status()
function computes the status (“complete”, “missing interpretation”, “missing protocol” or “incomplete”) of a CAPL domain.
$capl_status <- get_capl_domain_status(
capl_demo_datax = capl_demo_data,
domain = "capl"
)
$capl_status
capl_demo_data#> [1] "missing protocol" "complete" "complete"
#> [4] "complete" "complete" "complete"
#> [7] "missing protocol" "complete" "complete"
#> [10] "missing protocol" "missing interpretation" "complete"
#> [13] "missing interpretation" "missing interpretation" "missing protocol"
#> [16] "complete" "complete" "complete"
#> [19] "complete" "complete" "complete"
#> [22] "complete" "complete" "missing interpretation"
#> [25] "missing interpretation" "missing interpretation" "complete"
#> [28] "missing interpretation" "complete" "complete"
#> [31] "complete" "complete" "complete"
#> [34] "missing interpretation" "complete" "missing interpretation"
#> [37] "missing interpretation" "missing protocol" "complete"
#> [40] "complete" "complete" "complete"
#> [43] "complete" "complete" "missing protocol"
#> [46] "complete" "complete" "missing protocol"
#> [49] "missing interpretation" "missing interpretation" "complete"
#> [52] "complete" "complete" "complete"
#> [55] "complete" "complete" "complete"
#> [58] "complete" "complete" "complete"
#> [61] "complete" "missing interpretation" "complete"
#> [64] "missing protocol" "complete" "missing interpretation"
#> [67] "complete" "complete" "missing interpretation"
#> [70] "missing protocol" "missing protocol" "complete"
#> [73] "complete" "missing protocol" "missing interpretation"
#> [76] "complete" "missing interpretation" "complete"
#> [79] "complete" "missing protocol" "missing interpretation"
#> [82] "complete" "complete" "complete"
#> [85] "complete" "missing interpretation" "complete"
#> [88] "missing protocol" "complete" "complete"
#> [91] "complete" "complete" "missing interpretation"
#> [94] "missing interpretation" "missing interpretation" "complete"
#> [97] "missing interpretation" "complete" "complete"
#> [100] "missing protocol" "complete" "complete"
#> [103] "complete" "missing interpretation" "complete"
#> [106] "complete" "complete" "complete"
#> [109] "incomplete" "complete" "complete"
#> [112] "complete" "complete" "missing interpretation"
#> [115] "complete" "missing protocol" "complete"
#> [118] "complete" "complete" "complete"
#> [121] "missing interpretation" "complete" "missing protocol"
#> [124] "complete" "complete" "missing interpretation"
#> [127] "complete" "missing interpretation" "missing interpretation"
#> [130] "complete" "complete" "missing interpretation"
#> [133] "complete" "complete" "complete"
#> [136] "complete" "complete" "complete"
#> [139] "complete" "complete" "missing protocol"
#> [142] "complete" "missing protocol" "complete"
#> [145] "complete" "complete" "missing interpretation"
#> [148] "missing interpretation" "missing protocol" "complete"
#> [151] "complete" "complete" "complete"
#> [154] "complete" "complete" "complete"
#> [157] "complete" "complete" "complete"
#> [160] "missing protocol" "missing interpretation" "complete"
#> [163] "complete" "complete" "missing interpretation"
#> [166] "complete" "complete" "missing interpretation"
#> [169] "complete" "complete" "complete"
#> [172] "complete" "complete" "missing protocol"
#> [175] "complete" "missing protocol" "complete"
#> [178] "missing interpretation" "missing interpretation" "complete"
#> [181] "complete" "missing interpretation" "complete"
#> [184] "missing interpretation" "complete" "complete"
#> [187] "complete" "complete" "complete"
#> [190] "missing interpretation" "complete" "complete"
#> [193] "complete" "complete" "missing interpretation"
#> [196] "missing protocol" "complete" "complete"
#> [199] "complete" "missing interpretation" "complete"
#> [202] "complete" "complete" "complete"
#> [205] "complete" "complete" "complete"
#> [208] "complete" "missing protocol" "missing interpretation"
#> [211] "missing interpretation" "complete" "complete"
#> [214] "complete" "complete" "missing protocol"
#> [217] "missing interpretation" "complete" "complete"
#> [220] "complete" "complete" "complete"
#> [223] "missing interpretation" "missing interpretation" "complete"
#> [226] "complete" "complete" "missing interpretation"
#> [229] "complete" "missing interpretation" "missing protocol"
#> [232] "complete" "complete" "incomplete"
#> [235] "complete" "complete" "complete"
#> [238] "missing protocol" "complete" "complete"
#> [241] "complete" "complete" "missing interpretation"
#> [244] "missing interpretation" "missing interpretation" "complete"
#> [247] "complete" "missing interpretation" "missing interpretation"
#> [250] "complete" "missing interpretation" "complete"
#> [253] "missing interpretation" "complete" "missing protocol"
#> [256] "missing protocol" "complete" "complete"
#> [259] "missing protocol" "missing interpretation" "complete"
#> [262] "complete" "complete" "missing protocol"
#> [265] "complete" "complete" "complete"
#> [268] "complete" "complete" "complete"
#> [271] "complete" "complete" "missing interpretation"
#> [274] "complete" "complete" "complete"
#> [277] "complete" "complete" "complete"
#> [280] "complete" "complete" "missing interpretation"
#> [283] "complete" "complete" "complete"
#> [286] "complete" "complete" "complete"
#> [289] "complete" "complete" "complete"
#> [292] "missing protocol" "complete" "complete"
#> [295] "missing interpretation" "complete" "complete"
#> [298] "complete" "complete" "complete"
#> [301] "complete" "complete" "complete"
#> [304] "complete" "complete" "missing protocol"
#> [307] "complete" "missing interpretation" "missing interpretation"
#> [310] "complete" "complete" "complete"
#> [313] "complete" "complete" "complete"
#> [316] "complete" "complete" "complete"
#> [319] "complete" "missing interpretation" "complete"
#> [322] "complete" "missing protocol" "complete"
#> [325] "complete" "missing interpretation" "complete"
#> [328] "complete" "complete" "complete"
#> [331] "complete" "complete" "complete"
#> [334] "complete" "complete" "complete"
#> [337] "complete" "complete" "complete"
#> [340] "missing protocol" "missing interpretation" "missing interpretation"
#> [343] "complete" "complete" "complete"
#> [346] "complete" "complete" "complete"
#> [349] "missing protocol" "complete" "missing interpretation"
#> [352] "missing interpretation" "missing protocol" "complete"
#> [355] "complete" "complete" "missing interpretation"
#> [358] "complete" "complete" "complete"
#> [361] "missing interpretation" "complete" "missing interpretation"
#> [364] "complete" "complete" "complete"
#> [367] "complete" "complete" "incomplete"
#> [370] "complete" "complete" "complete"
#> [373] "complete" "missing interpretation" "complete"
#> [376] "complete" "complete" "missing interpretation"
#> [379] "missing interpretation" "complete" "complete"
#> [382] "complete" "complete" "complete"
#> [385] "missing protocol" "complete" "complete"
#> [388] "missing interpretation" "complete" "complete"
#> [391] "complete" "complete" "missing interpretation"
#> [394] "complete" "complete" "missing protocol"
#> [397] "complete" "missing interpretation" "complete"
#> [400] "complete" "missing interpretation" "complete"
#> [403] "complete" "complete" "complete"
#> [406] "complete" "missing interpretation" "complete"
#> [409] "complete" "missing protocol" "missing interpretation"
#> [412] "missing protocol" "complete" "complete"
#> [415] "complete" "complete" "complete"
#> [418] "complete" "complete" "missing interpretation"
#> [421] "complete" "complete" "complete"
#> [424] "complete" "complete" "complete"
#> [427] "complete" "complete" "complete"
#> [430] "complete" "complete" "missing protocol"
#> [433] "complete" "missing interpretation" "complete"
#> [436] "complete" "complete" "complete"
#> [439] "complete" "complete" "missing protocol"
#> [442] "missing protocol" "complete" "complete"
#> [445] "missing protocol" "complete" "complete"
#> [448] "complete" "complete" "missing interpretation"
#> [451] "complete" "complete" "missing interpretation"
#> [454] "missing protocol" "complete" "complete"
#> [457] "complete" "complete" "complete"
#> [460] "complete" "missing interpretation" "complete"
#> [463] "complete" "complete" "missing interpretation"
#> [466] "complete" "complete" "missing interpretation"
#> [469] "missing interpretation" "missing interpretation" "complete"
#> [472] "complete" "missing interpretation" "missing protocol"
#> [475] "complete" "complete" "missing interpretation"
#> [478] "complete" "complete" "complete"
#> [481] "missing interpretation" "complete" "missing protocol"
#> [484] "missing interpretation" "complete" "missing interpretation"
#> [487] "complete" "missing interpretation" "complete"
#> [490] "complete" "complete" "complete"
#> [493] "complete" "complete" "complete"
#> [496] "missing protocol" "missing interpretation" "missing interpretation"
#> [499] "complete" "missing protocol"
The capl
package makes use of the famous ggplot2
R package to create custom functions that render beautiful plots for visualizing CAPL-2 results.
CAPL-2 scores can be grouped by their associated interpretative categories and visualized in a bar plot by calling the get_capl_bar_plot()
function. The mean score for each interpretative category appears above each bar.
get_capl_bar_plot(
score = capl_results$pc_score,
interpretation = capl_results$pc_interpretation,
x_label = "Interpretation",
y_label = "Physical competence domain score (/30)"
)
The color palette can be customized by setting the colors
parameter.
get_capl_bar_plot(
score = capl_results$db_score,
interpretation = capl_results$db_interpretation,
x_label = "Interpretation",
y_label = "Daily behaviour domain score (/30)",
colors = c("#daf7a6", "#ffc300", "#ff5733", "#c70039")
)
If users want to export their data, the export_capl_data()
function allows them to export their data to Excel or SPSS.
export_capl_data(
x = capl_results,
file_path = "c:/path/to/store/capl-results.xlsx"
)
export_capl_data(
x = capl_results,
type = "spss",
file_path = "c:/path/to/store/capl-results.sav"
)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.