Raw Accelerometer Data Analysis

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Documentation for package ‘GGIR’ version 3.1-2

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GGIR-package A package to process multi-day raw accelerometer data
applyCosinorAnalyses Apply Cosinor Analyses to time series
create_test_acc_csv Creates csv data file for testing purposes
create_test_sleeplog_csv Creates csv sleeplog file for testing purposes
data.calibrate Example output from g.calibrate
data.getmeta Example output from g.getmeta
data.inspectfile Example output from g.inspectfile
data.metalong Metalong object as part of part 1 milestone data
data.ts Time series data.frame stored by part 5
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.imputeTimegaps Impute gaps in three axis raw accelerometer data
g.inspectfile function to inspect accelerometer file for brand, sample frequency and header
g.loadlog Load and clean sleeplog information
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 part of the Sleep Period Time window or not
g.part5 Merge output from physical activity and sleep analysis into one report
g.part5.analyseRest Analyse rest (internal function)
g.part6 Perform temporal pattern analyses
g.plot5 Generate user-friendly visual report. The first part of the report summarizes important daily metrics in bar plot format. The second part of the report shows the raw data and annotations in 24-hr periods. Angle-z is shown with sleep annotations during the SPT (sleep period time) window. ENMO is shown with daytime inactivity and PA (physical activity) annotations in the lower section of each 24-hr plot. The PA annotations are based on a 10 minute bout metric and 80 of a 10 minute bout of MVPA. Vigorous PA is a short window of time above threshold.vig that is part of a bout of MVPA. Light PA is a short window of time above threshold.lig that is part of a bout of light PA.
g.report.part2 Generate report from milestone data produced by g.part2
g.report.part4 Generate report from milestone data produced by g.part4
g.report.part5 Generate report from milestone data produced by g.part5
g.report.part5_dictionary Generate data dictionary for reports from milestone data produced by g.part5
g.report.part6 Generate report from milestone data produced by g.part6
g.shell.GGIR Wrapper function around function GGIR
GGIR Shell function for analysing an accelerometer dataset.
is.ISO8601 Check whether character timestamp is in iso8601 format.
iso8601chartime2POSIX Convert iso8601 timestamps to POSIX timestamp
load_params Load default parameters
part6AlignIndividuals part6AlignIndividuals
part6PairwiseAggregation part6PairwiseAggregation
POSIXtime2iso8601 Convert POSIX to iso8601 timestamp
read.myacc.csv Read custom csv files with accelerometer data