pheno.plot

<code>character</code> Input file name or input data

inputFN

<code>character</code> Output pdf file name for the plots

outFN

<code>logical</code> Specify if input file is a CSV file. Default is TRUE.

<code>character</code> Separator between columns. Default is space. If csv=TRUE, this will not be used.

<code>number</code> The location of the first phenotype variable starts in the input file.

start

<code>logical</code> Specify if inputFN is a file name or a data. Default is TRUE when inputFN is a file name.

read

<code>character</code> File name of the log file. Default is NULL, while logFN=paste(inputFN,".log",sep="") in the function.

logFN

<code>logical</code> Specify if the intermediate results is printed when the function was executed. Default is TRUE.

track

This R script will generate plot for each variable and write description to a log file.

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.

pheno.plot: View phenotype variables

Description

Usage

Arguments

Value