RA_long2

<code>data.frame</code> of dimension n * (p+2) containing the
p dimensional activity data for all n subject days.
The first two columns have to be ID and Day. ID can be
either <code>character</code> or <code>numeric</code>. Day has to be <code>numeric</code> indicating
the sequency of days within each subject.

count.data

since the caculation of M10 and L5 depends on the dimension of data, we need to include
window size as an argument. This function is a whole dataset
wrapper for <code>RA</code>.

window

<code>character</code> of "sum" or "average", function used to bin the data

method

This function calcualte relative amplitude, a nonparametric metric
of circadian rhtymicity. This function is a whole dataset
wrapper for <code>RA</code>.

Generate all necessary R/Rmd/shell files for data processing after running 'GGIR' (v2.4.0) for accelerometer data. In part 1, all csv files in the GGIR output directory were read, transformed and then merged. In part 2, the GGIR output files were checked and summarized in one excel sheet. In part 3, the merged data was cleaned according to the number of valid hours on each night and the number of valid days for each subject. In part 4, the cleaned activity data was imputed by the average Euclidean norm minus one (ENMO) over all the valid days for each subject. Finally, a comprehensive report of data processing was created using Rmarkdown, and the report includes few exploratory plots and multiple commonly used features extracted from minute level actigraphy data.

RA_long2: Relative Amplitude for the Whole Datset

Description

Usage

Arguments

Value