Hello,
See if the following is what you want.
dat <-
structure(list(DF = c("4/3/13 19:20", "4/4/13 21:03", "4/6/13 17:40",
"4/6/13 17:40", "4/6/13 22:48", "4/6/13 22:48", "4/7/13 5:32",
"4/7/13 5:32"), BG = c(105L, 74L, 81L, 82L, 106L, 102L, 87L,
103L), test_strip = c("Aviva-491350", "Aviva-491350", "Aviva-491640",
"Aviva-491350", "Aviva-491640", "Aviva-491350", "Aviva-491350",
"Aviva-491640")), .Names = c("DF", "BG", "test_strip"), class =
"data.frame", row.names = c(NA,
-8L))
idx <- dat$DF < 100
HighLimit <- LowLimit <- numeric(nrow(dat))
HighLimit[idx] <- dat$BG[idx] + 15
LowLimit[idx] <- dat$BG[idx] - 15
HighLimit[!idx] <- dat$BG[!idx] + dat$BG[!idx]*0.15
LowLimit[!idx] <- dat$BG[!idx] - dat$BG[!idx]*0.15
x <- as.POSIXct(dat$DF, format = "%m/%d/%y %H:%M")
yl <- range(c(dat$BG, HighLimit, LowLimit))
plot(x, dat$BG, ylim = yl, type = "b")
lines(x, HighLimit)
lines(x, LowLimit)
Hope this helps,
Rui Barradas
Em 07-05-2013 15:02, Neotropical bat risk assessments escreveu:
Hi all,
I am trying to set up logical function(s) to deal with two adjustments
to a blood glucose value.
I have been dinking around in Excel and assume this will be much easier
in R.
DF is date-time, BG value in mg/dL,test strip
4/3/13 19:20 105 Aviva-491350
4/4/13 21:03 74 Aviva-491350
4/6/13 17:40 81 Aviva-491640
4/6/13 17:40 82 Aviva-491350
4/6/13 22:48 106 Aviva-491640
4/6/13 22:48 102 Aviva-491350
4/7/13 5:32 87 Aviva-491350
4/7/13 5:32 103 Aviva-491640
What I need are the high and low ranges based on "acceptable" standards
of the measured values.
The logical expressions need to be
IF BG =>100 then "High limit" would = (BG+(BG*.15))
IF BG =>100 then "Low limit" would = (BG-(BG*.15))
and
IF BG <100 then "High limit" would = (BG+15)
IF BG <100 then "Low limit" would = (BG-15)
The standards are written as: 95% of the individual glucose results
shall fall within ±15 mg/dL of the reference results at glucose
concentrations less than 100 mg/dL and within ±15% at glucose
concentrations greater than or equal to 100 mg/dL.
Then I need to plot the measured value and also show the high & low
"acceptable" values.
Thanks for any who respond.
Bruce
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and provide commented, minimal, self-contained, reproducible code.