View source: R/runGLUForDirectory.R
Run GLU for all files in a directory
1 2 3 4 5 6 7 | runGLUForDirectory(indir, outdir = NULL, device = 0,
daystart = "06:30", nightstart = "23:00",
dayPeriodStartTime = NULL, firstvalid = FALSE,
timeformat = "%d/%m/%y %H:%M:%S", imputeApproximal = FALSE,
imputeOther = FALSE, freq = 5, outlierthreshold = 5,
hypothreshold = NULL, hyperthreshold = NULL, save = FALSE,
pregnancy = FALSE, diabetes = FALSE)
|
indir |
Path of input directory containing input files. |
outdir |
Path of output directory where derived data will be stored. |
device |
Device type: 0 (medtronic ipro2); 1 (Dexcom G2); 2 (Abbott Freestyle Libre), default 0. |
daystart |
Time of night to day transition in format HH:MM, default 06:30. |
nightstart |
Time of day to night transition in format HH:MM, default 23:00. |
dayPeriodStartTime |
Start time of day period, default is nightstart. |
timeformat |
Time format in the CGM data, default %d/%m/%y %H:%M:%S. |
imputeApproximal |
Logical. If TRUE then the 'approximal imputation' approach to dealing with missing data is used. If both imputeApproximal and imputeOther are FALSE then the 'complete days' approach is used. |
imputeOther |
Logical. If TRUE then the 'other day imputation' approach to dealing with missing data is used. If both imputeApproximal and imputeOther are FALSE then the 'complete days' approach is used. |
freq |
Integer. CGM epoch data frequency (minutes). |
outlierthreshold |
Numeric. The value k used for outlier detection threshold d=k*SD. |
hypothreshold |
Numeric. Threshold between hypo- and normo- glycaemia. |
hyperthreshold |
Numeric. Threshold between normo- and hyper- glycaemia. |
save |
Logical. If TRUE then derived CGM sequence(s) are stored. |
pregnancy |
Logical. If TRUE then data is for pregnancy study, so pregnancy specific statistics should be derived. |
diabetes |
Logical. If TRUE then data is for diabetes study, so pregnancy specific statistics should be derived. |
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