Package index • mnirs

All functions

monoexp_init() SSmonoexp(): Initiate Self-Starting nls Monoexponential Model
create_mnirs_data(): Create an mNIRS data frame with metadata
example_mnirs(): Return paths for mnirs example files
filter_butter(): Apply a Butterworth Digital Filter
filter_mnirs(<smooth_spline>) filter_mnirs(<butterworth>) filter_mnirs(<moving_average>): Filter Data
filter_moving_average(): Apply a Moving Average Filter
print(<mnirs.kinetics>) plot(<mnirs.kinetics>): Methods for mnirs.kinetics objects
monoexponential(): Monoexponential Function with 4 Parameters
palette_mnirs(): Custom mNIRS colour palette
peak_slope(): Calculate Peak Positive or Negative Slope
plot(<mnirs.data>): Plot mnirs.data objects
prepare_kinetics_data(): Prepare mNIRS Data for Kinetics Analysis
process_multi_kinetics() process_kinetics(<monoexponential>) process_kinetics(<sigmoidal>) process_kinetics(<half_time>) process_kinetics(<peak_slope>): Fit mNIRS Kinetics Model
read_mnirs(): Read mNIRS data from file
replace_mnirs() replace_invalid() replace_outliers() replace_missing(): Replace outliers, invalid values, and missing values
resample_mnirs(): Re-sample a Data Frame
rescale_mnirs(): Re-scale Data Range
rolling_slope(): Calculate Rolling Slope
scale_colour_mnirs() scale_color_mnirs() scale_fill_mnirs(): Scales for custom mNIRS palette
shift_mnirs(): Shift Data Range
slope(): Calculate the Slope of a Numeric Vector
theme_mnirs(): Custom mNIRS ggplot2 theme