R/SGVPByDay.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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# For each valid day in validDays, derive the SGVP
# Returns the SGVP for each day, and the average across all days overall.
SGVPByDay <- function(validDays) {

	sgvps = c()	

	cnames=c()
	count=1
	for (vd in validDays) {

		# SGVP of this valid day only
		sgvpVD = SGVP(getDayGlucoseValues(vd, interp=TRUE), TRUE)

		# nighttime, daytime SGVP
		sgvpVDn = SGVP(getDayGlucoseValues(vd, night=TRUE, interp=TRUE), TRUE)
		sgvpVDd = SGVP(getDayGlucoseValues(vd, day=TRUE, interp=TRUE), TRUE)

		sgvps = append(sgvps, c(sgvpVD, sgvpVDn, sgvpVDd))

		cnames = append(cnames, c(paste("SGVP_day", count, sep=""), paste("SGVP_nt_day", count, sep=""), paste("SGVP_dt_day", count, sep="")))

                count=count+1
	}

	res = rbind(sgvps)
        colnames(res) = cnames

	sgvpAv = meanAcrossDays("SGVP_day", res)
	sgvpAvN = meanAcrossDays("SGVP_nt_day", res)
	sgvpAvD = meanAcrossDays("SGVP_dt_day", res)

	othervars = c(sgvpAv, sgvpAvN, sgvpAvD)
  	othervars = rbind(othervars)
	colnames(othervars) = c("meanSGVPPerDay", "meanSGVPPerDay_nt","meanSGVPPerDay_dt")
	res = cbind(res, othervars)

	return(res)

}