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usethis
dependency.ggplot2
, tidyselect
, and tibble
warnings.read_data.cosmed()
that made the time column to return NA
values when the test was longer than one hour.custom
option to read_data()
.roxygen 7.2.1
.The following function calls were simplified:
vo2_kinetics()
and detect_outliers()
= time_column
argument not needed anymore (this is automatically taken from read_data()
now).plot_outliers()
= test_type
argument not needed anymore (this is automatically taken from detect_outliers()
now).perform_kinetics()
= time_column
and vo2_column
arguments not needed anymore (this is automatically taken from read_data()
and detect_outliers()
).read_data()
to read data from metabolic cart (COSMED and CORTEX).
Added function interpolate()
to interpolate breath-by-breath data into second-by-second.
Added function perform_average()
to perform bin- and rolling-averages.
Added run_manual_cleaner()
.
Added testing of functions (internal modification only, not visible to the user).
Added new print method.
Added new functionality for analyzing data from incremental exercise.
Added perform_max()
and vo2_max()
.
Added support for the CardioCoach
metabolic cart.
Fixed issue with read_data()
when using the COSMED metabolic cart: previously, character columns were being coerced into NA
(thanks @Scott-S-Hannah #4).
Added extra argument to read_data()
to automatically fix the issue when the work rate column is coerced as a character column (thanks to [@ThibauxV](https://twitter.com/ThibauxV)).
Improved error messages in case read_data()
cannot find the name of the time column provided.
Removed the time_column
argument from the interpolate()
and perform_average()
functions. This is only necessary in read_data()
now.
Make sure that data does not contain rows and cols with only NA
in interpolate()
(thanks @Scott-S-Hannah).
Fixed issue renaming work rate column in read_data()
(thanks @Scott-S-Hannah #6).
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.