Raw Accelerometer Data Analysis

Documentation for package ‘GGIR’ version 1.4

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GGIR-package	A package to process multi-day raw accelerometer data
data.calibrate	Example output from g.calibrate
data.getmeta	Example output from g.getmeta
data.inspectfile	Example output from g.inspectfile
g.analyse	function to analsyse meta-data generated by g.getmeta and g.impute
g.binread	function to read binary files as produced by the accelerometer named 'Genea', not to be confused with the 'GENEActiv' (see package GENEAread for this)
g.calibrate	function to estimate calibration error and make recommendation for addressing it
g.getbout	function to calculate bouts from vector of binary classes
g.getmeta	function to extract meta-data (features) from data in accelerometer file
g.impute	function to identify invalid periods in the meta-data as generated by g.getmeta and to impute these invalid periods with the average of similar timepoints on other days of the measurement
g.inspectfile	function to inspect accelerometer file for brand, sample frequency and header
g.part1	function to load and pre-process acceleration files
g.part2	function to analyse and summarize pre-processed output from g.part1
g.part3	Detection of sustained inactivity periods as needed for sleep detection in g.part4.
g.part4	Labels detected sustained inactivity periods by g.part3 as either nocturnal sleep or daytime sustained inactivity
g.part5	Merge output from physical activity and sleep analysis into one report
g.plot	function to generate a plot for quality check purposes
g.shell.GGIR	Shell function for analysing an accelerometer dataset.
g.wavread	function to read .wav files as produced by the accelerometer named 'Axivity'
GGIR	A package to process multi-day raw accelerometer data