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resample_mnirs.
Downsampling 100k rows now allocates ~11MB rather than ~4.5 GB.plot.mnirs() ncan now be called on a list of
“mnirs” data frames. Each data frame will be printed as a
facet. This is primarily useful for printing a list of interval data
frames exported from extract_intervals():read_mnirs() |>
extract_intervals() |>
plot()
## returns a plot with a facet for each intervalextract_intervals() now returns a
list of data frames with class = "mnirs". Otherwise, to
manually plot a list of data frames, it will need to have
class(list) <- c("mnirs", class(list)) edited
manually.read_mnirs() |>
extract_intervals() |>
class()
#> [1] "mnirs" "list"print.mnirs() generic created to
avoid displaying extra NextMethod() calls when printing
lists with class = "mnirs".extract_intervals():
When specifying start and end with
by_lap(), start will only refer to the first
sample of the lap, and end the last sample.
With previous behaviour, start = by_lap() would
include the entire specified lap(s). But this resulted in less control
over displaying only parts of a lap.
Updated behaviour is now more consistent with
by_time, by_label, and
by_sample() methods, which reference start and
end from a single sample. This allows extraction of
e.g. only the first 60-sec of lap:
read_mnirs() |>
extract_intervals(
start = by_lap(1, 3),
span = c(0, 60),
)
## returns a list of two intervals with the first 60-sec of laps 1 and 3, respectively.read_mnirs(): Fix detection issue with
“PerfPro” file formats, and another small bug fix to improve
timestamp parsing.
create_mnirs_data() now properly accepts tidy
evaluation for nirs_channels, time_channel,
and event_channel:
create_mnirs_data(df, nirs_channels = c(o2hb, hhb))resample_mnirs():
Now resamples to an inclusive time range around existing data, rounded to the nearest resampled rate. Better handles edge cases where the last sample was being dropped in certain rounding conditions.
Fix an edge case error when sample_rate was
mis-specified higher than the actual sample_rate of the data. Now more
robustly fills non-numeric columns.
read_mnirs():
Now properly parses time_channel as fractional unix
values; i.e. timestamp (e.g. “hh:mm:ss”) values are saved by Excel in
all its infinite wisdom as numeric fractional Unix timestamps. Will now
be properly coerced to numeric and POSIXct timestamp values can be
returned.
Timestamps should now be returned in the user’s local time zone.
resample_mnirs(): Update default
method = "none". Less opinionated default to force users to
explicitly opt-in to specifying either “linear” or “locf” methods to
fill/interpolate across new samples. Updated package
documentation.
replace_invalid(), replace_outliers(),
replace_missing(): Remove bypass_checks arg
intended for internal use only, to bypass redundant checks when calling
from replace_mnirs().
plot.mnirs(): No longer coerces to long format data
behind the scenes.
plot.mnirs(): y-axis title changed from “signal” to
“mNIRS”.
Fix lap marker inconsistency in
train.red_intervals.csv. Updated relevant interval times in
documentation.
README.md & “reading-mnirs-data.qmd”
vignette updates.
Update recommended core processing sequence:
read_mnirs() -> resample_mnirs() ->
replace_mnirs() -> …
Update extract_intervals() vignette to
train.red_intervals.csv end-interval reoxygenation
events.
Small documentation changes.
Core functions updated to accept nirs_channel args
as a list.
An info message will be displayed when a list is not required, instead of erroring.
Additional info messages will be displayed for
shift_mnirs(), rescale_mnirs(), and
extract_intervals() when nirs_channels has not
been specified as a list, nor retrieved from metadata. As a reminder of
the grouping requirements in those functions.
Core functions now properly update nirs_channels
metadata when re-specified.
nirs_channels in a function
would only add any additional column name strings to the existing
metadata rather than overwrite it. Meaning nirs_channels
could only be removed from metadata by using
create_mnirs_data(nirs_channels = "..."). The updated
behaviour should mean channels need to be re-specified less often.filter_mnirs(): Fixed an error matching
method arguments when left blank.
README and “Reading and Cleaning Data with {mnirs}” vignette updated to fix typos and small edits.
NEWS.md is truncated to the most recent relevant release
updates. The full NEWS.md remains in the dev
branch.
Some development functions have been omitted from the package
build in expectation of CRAN review. They are still present in
dev branch and can be installed with
pak::pak("jemarnold/mnirs").
filter_mnirs(): Method-specific arguments
(e.g. order for method = "butterworth", or
width for method = "moving_average") removed
from the generic function call. Continue to be passed to the appropriate
method via .... Documentation and info/warning/abort
messages updated.
filter_ma() better separates effects of
partial and na.rm args:
partial = FALSE by default returns NA at edges where
insufficient number of samples are available compared to the specified
width or span.
partial = TRUE calculates mean values at edges, as
long as one valid non-NA sample is available.
na.rm = FALSE by default behaves as expected with
mean(na.rm = FALSE), propagating any NAs in
the local window to the calculated mean with a warning.
na.rm = FALSE in filter_butter(), which errors
if there are any internal NAs present. This has not been
changed.na.rm = TRUE ignores NAs and calculates
local means as long as one valid sample is present.
plot.mnirs()
Add new arg: points = TRUE will plot points in
addition to lines, as a useful quick shortcut.
Update na.omit now omits non-valid
c(NA, NaN, Inf, -Inf) values from plotting, not just
NA.
palette_mnirs() can now accept either a single
numeric value specifying the number of colours to return, or any number
of (valid) character colour names.
read_mnirs() now has better automated channel
detection logic for “Artinis” / “Oxysoft” file formats.
nirs_channels and time_channel can be left
blank to automatically “sample”, “time” (from
sample_rate), and nirs channel “2”.
replace_outliers() now accepts numeric
outlier_cutoff values for more precise outlier detection
thresholds (previously was integers only). Documentation also
updated.
read_mnirs() expands event_channel to
work with integer “lap” numbers, or character event label as
previous.
Should now work on more .csv file formats; previously read errors may have occured where the file contained header rows above the data table, resulting in improper detection of columns.
event_channel can now be specified as an integer
lap column, in addition to a character column as
previous.
Other {mnirs} functions may expect event_channel to
be either character or integer-ish.
extract_intervals():
Function arguments start and end are
used to specify one or both of a start and end point to the target
interval.
Specify start/end values with helper
functions by_time(), by_label(),
by_lap(), and by_sample().
Numeric values are automatically coerced to “time” values;
Explicit integer values (e.g. 2L) are coerced to “lap”;
Character strings are coerced to event “label”.
dev
branch: https://github.com/jemarnold/mnirs/blob/dev/NEWS.mdThese 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.