Hi,
Instead of hist you can use functions histogram() or densityplot() in
lattice package:
require(lattice)
histogram(
~ length | factor(sex), data=dene
)
densityplot(
~ length, data=dene,
groups=factor(sex),
auto.key = list(space = "bottom")
)
Regards,
Carlos Ortega
www.qualityexcellence.es
On Mon, Jul 18, 2011 at 3:50 PM, Jacob Kasper <jacobkas...@gmail.com> wrote:
> I have a data set that looks like this:
> dene <- data.frame(length =
> c(35,32,33,34,41,40,46,35,41,40,45,36,38,37,39,40,42,42,42,43,44),
> sex=c(1,1,1,1,2,2,2,1,2,2,2,1,2,2,2,2,2,2,2,2,2))
>
> I would like to plot the density (frequency of occurrence) of each length
> class but I want to have different colors for sex. I used the following:
> library(sm)
> sex.f<-factor(as.factor(dene$sex),levels=c(1,2),
> labels=c("Males","Females"))
> sm.density.compare(dene$length, dene$sex)
> yet I want the sum of the areas under the two curves to be equal to 1, not
> the sum of the area under each curve to be equal to 1.
>
> I can plot the frequency using hist, but then I do not get the two colors
> indicating the difference in sex.
>
>
> hist(dene$length, freq=F, breaks=11)
>
> any thoughts on how to approach this would be appreciated.
>
> Thank you
>
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>
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