R/saveCleanData.R

In MRCIEU/GLU: Derives Summary Variables from Continuous Glucose Monitoring (CGM) data

# The MIT License (MIT)
# Copyright (c) 2018 Louise AC Millard, MRC Integrative Epidemiology Unit, University of Bristol
#
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# Saves cleaned CGM data to file.
# This includes the interpolated timepoints that mark the precise start and end of each day
saveCleanData <- function(validDays, userID, rs) {

	if (rs@save == TRUE) {

	print("Saving clean data ...")

	first = TRUE

	if (length(validDays)>=1) {
		for (vd in validDays) {

			vday = vd@glucose

			if (first == TRUE) {
				rawValid = vday
				first = FALSE
			}
			else {
				rawValid = rbind(rawValid, vday)
			}
		
		}
	}

	namePrefix = userID
	if (rs@imputeApproximal==TRUE) {
                namePrefix = paste(namePrefix, '-impute-approximal', sep='')
        }
	else if (rs@imputeOther==TRUE) {
                namePrefix = paste(namePrefix, '-impute-other', sep='')
        }


        # save clean data
        write.table(rawValid, file=paste(rs@outdir, "/validdays/cgmValidDays", namePrefix, ".csv",sep=""), sep=",", quote=FALSE, row.names=FALSE, na="")

	}

}