Hi:
My understanding is that you want a separate plot over time of each of your
repeated
measures variables. If that's the case, then perhaps something along the
following lines
will work. Given the manufactured data set Gabor provided (g from lines),
let's use
the reshape package and then plot using lattice and ggplot2:
library(ggplot2) # attaches reshape along the way
library(lattice)
g2 <- melt(g, id = 'date')
# lattice plot
xyplot(value ~ date | variable, data = g3)
# ggplot
ggplot(g3, aes(date, value)) + geom_point() + facet_wrap(~ variable)
The plots are less than publication quality, but the labels, etc. can be
tweaked and
you can change the layout of the graphics region if you wish. The advantage
of melt()
in this circumstance is that it allows one to use variable names as factor
labels in lattice
and ggplot2.
HTH,
Dennis
On Sun, Jan 3, 2010 at 12:24 PM, Albert-Jan Roskam <fo...@yahoo.com> wrote:
> Hi,
>
> I am new to R so forgive me if the following query is somewhat simple. I
> have a small tab-separated file with n records of glucose values, one record
> per day, seven measurements per day. It looks like this:
>
> date sober no vm nm va na vs
> 20091229 NA 6.8 NA 2.7 11.7 2.7 6.2
>
> I'd like to make a graph on which the glucose day curves are plotted
> separately for each day. I'm sure I'll be able to make it pretty (such as
> labelling, etc), but yesterday I've been struggling just a bit too long to
> get the basics right. Here's what I've got till sofar:
>
> file = "d:/temp/glucose.tab"
> glucose <- read.table(file, header=TRUE, sep="\t", row.names="datum") #
> # Not sure if I got the row.names correct, I may need to use as.character
> (I believe I did use #that in the interactive session).
> attach(glucose)
> summary(glucose)
>
> ncol <- length(names(glucose))
> xrange <- range(1, ncol)
> yrange <- range(0, max(!is.na(glucose[1:ncol])))
>
> nrecs <- nrow(glucose)
> colors <- rainbow(nrecs)
> linetype <- c(1:nrecs)
> plot(xrange, yrange, type="n", xlab="Measurement moment", ylab="Glucose
> (mmol/liter)")
> for (i in 1: nrecs) {
> daily_values <- glucose[i,]
> lines(daily_values, type="b", lwd=1.5, lty=linetype[i], col=colors[i])
> }
>
> So I want to loop over the file and add the plot lines one by one (day by
> day), but it seems that something's not yet right because nothing appears on
> the graph. Can anybody give me some pointers? Thank you in advance
>
>
> Cheers!!
>
> Albert-Jan
>
>
>
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
>
> In the face of ambiguity, refuse the temptation to guess.
>
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
>
>
>
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>
>
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>
>
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