On Tue, May 7, 2013 at 10:02 AM, Neotropical bat risk assessments
<neotropical.b...@gmail.com> wrote:
> 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 ą15 mg/dL of the reference results at glucose
> concentrations less than 100 mg/dL and within ą15% 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.
>
Here it is using gglot2:
library(ggplot2)
library(gridExtra)
DF2 <- transform(DF,
datetime = as.POSIXct(DF2[[1]], format = "%m/%d/%y %H:%M"),
lower = ifelse(BG < 100, BG - 15, BG * 0.85),
upper = ifelse(BG < 100, BG + 15, BG * 1.15))
ggplot(DF2, aes(datetime, BG)) +
geom_point() +
geom_line() +
geom_smooth(aes(ymin = lower, ymax = upper), stat = "identity") +
geom_linerange(aes(ymin = lower, ymax = upper)) +
annotation_custom(tableGrob(DF2, gp = gpar(cex = 0.5)), ymin = 120) +
coord_cartesian(ylim = c(60, 150)) +
xlab("") +
ylab("Blood Glucose") +
ggtitle("Blood Glucose Levels")
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