Here is a simple example for generating line graphs for such data
sets:
# Generates a sample data set
y <- as.data.frame(matrix(runif(30), ncol=3,
dimnames=list(letters[1:10], LETTERS[1:3])))
# Plots a line graph for all columns in data frame 'y'. The
'split.screen()'
# function is used in this example in a for loop to overlay several
line graphs
# in the same plot.
plot(y[,1], type="l", lwd=2, col="blue") # Plots a line graph instead.
split.screen(c(1,1))
plot(y[,1], ylim=c(0,1), xlab="Measurement", ylab="Intensity",
type="l", lwd=2, col=1)
for(i in 2:length(y[1,])) {
screen(1, new=FALSE)
plot(y[,i], ylim=c(0,1), type="l", lwd=2, col=i, xaxt="n",
yaxt="n", ylab="", xlab="", main="", bty="n")
}
close.screen(all=TRUE)
On Mon 03/31/08 13:11, Mark Kimpel wrote:
> In several papers I have seen a plot which illustrates the value of
> expression of several genes (usually in a cluster) over time. The y
axis is
> expression, the x axis is discrete time points, and each of the
points for a
> gene are connected by lines so one can easily see a time profile.
>
> Is there a predefined function for this? If not, what plot
parameters do I
> use?
>
> Thanks,
> Mark
>
> --
> Mark W. Kimpel MD ** Neuroinformatics ** Dept. of Psychiatry
> Indiana University School of Medicine
>
> 15032 Hunter Court, Westfield, IN 46074
>
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> (317) 663-0513 Home (no voice mail please)
>
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--
Thomas Girke
Assistant Professor of Bioinformatics
Director, IIGB Bioinformatic Facility
Center for Plant Cell Biology (CEPCEB)
Institute for Integrative Genome Biology (IIGB)
Department of Botany and Plant Sciences
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