Try something like this
library(ggplot2)
data<-as.data.frame(cbind(a=c(1,1,2,2,2,2,3,3,4), b=c(1,2,3,3,4,4,4,4,4)))
library(reshape)
Molten <- melt(data)
ggplot(Molten, aes(x = value, colour = variable)) + geom_density()
Best regards,
Thierry
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium
+ 32 2 525 02 51
+ 32 54 43 61 85
thierry.onkel...@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-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Namens
David Studer
Verzonden: vrijdag 20 april 2012 10:31
Aan: r-help@r-project.org
Onderwerp: [R] ggplot2-Problem (plot different variables)
Hi everyone!
I have the following difficulties using ggplot2
# My Data
data<-as.data.frame(cbind(a=c(1,1,2,2,2,2,3,3,4), b=c(1,2,3,3,4,4,4,4,4)))
And I would like to plot the frequency-distributions of both variables in one
plot as lines. For both variables the values (1-4) should be on the x-axys and
the frequency on the y-axis.
I have already found out, that this should work (somehow) using
stat_summary()
Can anyone help me?
library(ggplot2)
p<-ggplot(data=data, aes(a,b) )
p+stat_summary(??)
Thank you very much for help!
David
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