On 04.05.2012 14:34, Johannes Radinger wrote:
Hi,
I have two variables ranging both from 0 to 1 (n=500 each).
Now I am interested in plotting them both in one plot (using ggplot2).
So far I used ecdf() (from an example I found with google) to get
values for the cumulatice distribution function which gives a relative
curve. I also want to do the same plot but using absolute cumulative
values instead of relative. Can that be done with ecdf or with stepfun()
to get values I can use to plot the curves?
Here a small example that shows the result with ecdf:
library(ggplot2)
library(reshape)
dftest1<- data.frame(value=runif(1000,0,1),variable=rep(c("a","b"),c(500,500)))
dftest2<- ddply(dftest1,.(variable),transform, ecd = ecdf(value)(value))
ggplot(dftest2,aes(x = value, y = ecd)) +
geom_line(aes(group = variable,colour = variable))
I'd like to replace the ecdf-function in ddply with a function that gives
cumulative counts resp. the cumulative position of each observation, so that I
get an absolute cumulative curve as a result? Is that understandable?
Thank you very much,
Johannes
What about using stepfun() and providing the data cummulated via cumsum?
Uwe Ligges
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