g.part6: Perform temporal pattern analyses

In GGIR: Raw Accelerometer Data Analysis

Perform temporal pattern analyses

Description

This function aims to facilitate time-pattern analysis building on the labelled time series derived in GGIR part 5

Usage

g.part6(datadir = c(), metadatadir = c(), f0 = c(), f1 = c(),
                   params_general = c(), params_phyact = c(), params_247 = c(),
                   verbose = TRUE, ...)

Arguments

datadir	Directory where the accelerometer files are stored, e.g. "C:/mydata", or list of accelerometer filenames and directories, e.g. c("C:/mydata/myfile1.bin", "C:/mydata/myfile2.bin").
metadatadir	Directory that holds a folder 'meta' and inside this a folder 'basic' which contains the milestone data produced by g.part1. The folderstructure is normally created by g.part1 and GGIR will recognise what the value of metadatadir is.
f0	File index to start with (default = 1). Index refers to the filenames sorted in alphabetical order
f1	File index to finish with (defaults to number of files available, i.e., f1 = 0)
params_general	See details in GGIR.
params_phyact	See details in GGIR.
params_247	See details in GGIR.
verbose	See details in GGIR.
...	To ensure compatibility with R scripts written for older GGIR versions, the user can also provide parameters listed in the params_ objects as direct argument.

Value

The function does not produce values but generates an RData file in the milestone subfolder ms6.out which incudes ... (TO BE COMPLETED). This dataframe is used in g.report.part6 to create reports. See package vignette paragraph (TO BE COMPLETED) for description of all the variables.

Author(s)

Vincent T van Hees <[e-mail]>

Examples

  ## Not run: 
    metadatadir = "C:/myfolder/meta"
    g.part6(metadatadir=metadatadir)
  
## End(Not run)

GGIR documentation built on Sept. 11, 2024, 8:59 p.m.