[R] Howto Superimpose Multiple Density Curves Into One Plot

[ONKELINX, Thierry]

Have a look at the ggplot2 package.

library(ggplot2)
dat <- read.table("mydat.txt") 
ggplot(dat, aes(x = V1, colour = factor(V2))) + geom_density()
#or a few alternatives
ggplot(dat, aes(x = V1, fill = factor(V2))) + geom_density(alpha = 0.2)
ggplot(dat, aes(x = V1)) + geom_density() + facet_wrap(~V2)

HTH,

Thierry


------------------------------------------------------------------------
----
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature
and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
methodology and quality assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium
tel. + 32 54/436 185
Thierry.Onkelinx at inbo.be
www.inbo.be

To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to
say what the experiment died of.
~ Sir Ronald Aylmer Fisher

The plural of anecdote is not data.
~ Roger Brinner

The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey

-----Oorspronkelijk bericht-----
Van: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
Namens Gundala Viswanath
Verzonden: woensdag 2 september 2009 12:10
Aan: r-help at stat.math.ethz.ch
Onderwerp: [R] Howto Superimpose Multiple Density Curves Into One Plot

I have a data that looks like this:
http://dpaste.com/88561/plain/

And I intend to create multiple density curve into one plot, where each
curve correspond to the unique ID.

I tried to use "sm" package, with this code, but without success.

__BEGIN__
library(sm)
dat <- read.table("mydat.txt");
plotfn <- ("~/Desktop/flowgram_superimposed.pdf");
pdf(plotfn);

sm.density.compare(dat$V1,dat$V2, xlab = "Flow Signal") colfill <-
c(2:10); legend(locator(1), levels(dat$V2), fill=colfill)

dev.off();
__END__

Please advice what's the right way to do it or if  there is alternative
way to do it?
I am trying to get this kind of figure:
http://img524.imageshack.us/img524/2736/testl.png


- G.V.

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