ActCosinor_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 sequence of days within each subject.

count.data

The calculation needs the window size of the data. E.g window = 1 means each epoch is in one-minute window.

window

A parametric approach to study circadian rhythmicity assuming cosinor shape.This function is a whole dataset
wrapper for <code>ActCosinor</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.

Wei Guo

ActCosinor_long2: Cosinor Model for Circadian Rhythmicity for the Whole Dataset

Description

Usage

Arguments

Value