R: Streamline Physical Activity Research

# Streamline Physical Activity Research

## Documentation for package ‘PAutilities’ version 1.3.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

PAutilities-package | PAutilities: Streamline Physical Activity Research
as | As("summaryTransition", "data.frame")
ba_analysis | Perform Bland-Altman analysis on a data frame
ba_plot | Create a Bland-Altman plot
bout_mvpa | Classify moderate-to-vigorous physical activity in bouts of a specific minimum length
cvd_risk | Calculate risk of cardiovascular disease
cvd_risk.data.frame | Calculate risk of cardiovascular disease
cvd_risk.default | Calculate risk of cardiovascular disease
descriptives | Compute descriptive statistics for a variable in the metabolic data set
df_continuous | Check if a dataframe is continuous
df_reorder | Reorder the columns of a data frame
epoch_length_sec | Determine epoch length in seconds
ex_data | Example data for calculating bouts of moderate-to-vigorous physical activity
full_days | Drop incomplete days from a dataset
get_age | Calculate age
get_bmr | Retrieve estimated basal metabolic rate for an individual
get_duration | Printing and timing utility for managing processes
get_indices | Retrieve indices for a rolling window analysis
get_intensity | Classify activity intensity
get_kcal_vo2_conversion | Retrieve conversion factors from kilocalories to oxygen consumption
get_ree | Calculate resting energy expenditure
index_runs | Run length encoding with indices
manage_procedure | Printing and timing utility for managing processes
mean_sd | Compute the mean and standard deviation of a vector, returning a formatted string containing the values as 'M +/- SD'
mean_sd.data.frame | Compute the mean and standard deviation of a vector, returning a formatted string containing the values as 'M +/- SD'
mean_sd.default | Compute the mean and standard deviation of a vector, returning a formatted string containing the values as 'M +/- SD'
paired_equivalence_test | Perform equivalence testing on paired samples
paired_equivalence_test.data.frame | Perform equivalence testing on paired samples
paired_equivalence_test.default | Perform equivalence testing on paired samples
PAutilities | PAutilities: Streamline Physical Activity Research
plot.paired_equivalence | Plot the outcome of a paired equivalence test
plot.spurious_curve | Plot a spurious curve
plot.transition | Plot the transitions and matchings from a 'transition' object
reintegrate | Reintegrate accelerometer data
residual_adjust | Perform residual adjustment on an epidemiologic variable
rmr_sliding | Calculate resting metabolic rate using a sliding window method
rolling_groups | Loop along a vector, returning n elements at a time in a list
shaded_equivalence_plot | Plot the outcome of a paired equivalence test
spurious_curve | Perform a spurious curve analysis
summaryTransition | An S4 class containing summary information about a 'transition' object
summaryTransition-class | An S4 class containing summary information about a 'transition' object
test_errors | Compare numeric variables in a data frame based on root-squared differences
unshaded_equivalence_plot | Plot the outcome of a paired equivalence test
weight_status | Determine weight status from body mass index
weir_equation | Calculate energy expenditure using the Weir equation