On Jan 14, 2008 7:30 PM, Erin Steiner <[EMAIL PROTECTED]> wrote:
> #After spending the entire day working on this question, I have
> decided to reach out for support:
>
> #I am trying to overlay a densityplot from one data set over a
> histogram of another, if I were to plot the two individually, they
> would look like:
>
> # data frame construction
>
> data.frame.A <- data.frame(rnorm(12*8), c(rep("one", 4), rep("two",
> 4), rep("three", 4)), c("red", "orange", "yellow", "green"))
> names(data.frame.A) <- c("vals", "factor.1", "factor.2")
> data.frame.B <- data.frame(rnorm(12*15), c(rep("one", 4), rep("two",
> 4), rep("three", 4)), c("red", "orange", "yellow", "green"))
> names(data.frame.B) <- names(data.frame.A)
>
> # stand alone plots
> histogram(~ vals|factor.1*factor.2, data.frame.A, type = "density")
> densityplot(~ vals | factor.1*factor.2, data.frame.B, plot.points = F)
It isn't lattice, but this is pretty easy to do with ggplot2:
install.packages("ggplot2")
library(ggplot2)
qplot(vals, ..density.., data = data.frame.A, geom="histogram", facets
= factor.1 ~ factor.2, binwidth = 1) + geom_density(data=data.frame.B)
In ggplot2, every "layer" on the plot can have a different dataset.
You can find out more about ggplot2 at http://had.co.nz/ggplot2/, but
I'm still working on the documentation for these more advanced
features.
Hadley
--
http://had.co.nz/
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
