ggir.summary {mMARCH.AC} | R Documentation |
Description of all accelerometer files in the GGIR output
Description
Description of all accelerometer files in the GGIR output and this script was executed when mode=2 in the main call.
Usage
ggir.summary(
bindir = NULL,
outputdir,
studyname,
numericID = FALSE,
sortByid = "filename",
subdir = "summary",
part5FN = "WW_L50M125V500_T5A5",
QChours.alpha = 16,
filename2id = NULL,
desiredtz = "US/Eastern",
trace = FALSE
)
Arguments
bindir |
|
outputdir |
|
studyname |
|
numericID |
|
sortByid |
|
subdir |
|
part5FN |
|
QChours.alpha |
|
filename2id |
|
desiredtz |
|
trace |
|
Value
Four files were written to the specified sub-directory
studyname_ggir_output_summary.xlsx |
This excel file includs 9 pages as follows, |
page 1 |
List of files in the GGIR output |
page 2 |
Summary of files |
page 3 |
List of duplicate IDs |
page 4 |
ID errors |
page 5 |
Number of valid days |
page 6 |
Table of number of valid/missing days |
page 7 |
Missing patten |
page 8 |
Frequency of the missing pattern |
page 9 |
Description of all accelerometer files |
page 10 |
Inspects accelerometer file for key information, including: monitor brand, sample frequency and file header |
studyname_ggir_output_summary_plot.pdf |
Some plots such as the number of valid days, which were included in the module5_studyname_Data_process_report.html file as well. |
part24daysummary.info.csv |
Intermediate results for description of each accelerometer file. |
studyname_samples_remove_temp.csv |
Create studyname_samples_remove.csv file by filling "remove" in the "duplicate" column in this template. If duplicate="remove", the accelerometer files will not be used in the data analysis of module 5-7. |