Re: [R] plotting group means

2008-09-09 Thread hadley wickham
On Tue, Sep 9, 2008 at 8:38 AM, Erich Studerus <[EMAIL PROTECTED]> wrote: > Thanks for all the suggestions, but it seems, that all these functions need > a rearrangement of my data, since in my case, the dependent variables are in > different columns. The error.bars.by-function seems to be the only

Re: [R] plotting group means

2008-09-09 Thread Erich Studerus
: [R] plotting group means On Tue, Sep 9, 2008 at 6:56 AM, ONKELINX, Thierry <[EMAIL PROTECTED]> wrote: > Dear Erich, > > Have a look at ggplot2 > > library(ggplot2) > dataset <- expand.grid(x = 1:20, y = factor(LETTERS[1:4]), value = 1:10) > dataset$value &l

Re: [R] plotting group means

2008-09-09 Thread hadley wickham
On Tue, Sep 9, 2008 at 6:56 AM, ONKELINX, Thierry <[EMAIL PROTECTED]> wrote: > Dear Erich, > > Have a look at ggplot2 > > library(ggplot2) > dataset <- expand.grid(x = 1:20, y = factor(LETTERS[1:4]), value = 1:10) > dataset$value <- rnorm(nrow(dataset), sd = 0.5) + as.numeric(dataset$y) Or with st

Re: [R] plotting group means

2008-09-09 Thread Jim Lemon
Hi Erich, Have a look at brkdn.plot in the plotrix package. Jim __ 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, minima

Re: [R] plotting group means

2008-09-09 Thread ONKELINX, Thierry
Dear Erich, Have a look at ggplot2 library(ggplot2) dataset <- expand.grid(x = 1:20, y = factor(LETTERS[1:4]), value = 1:10) dataset$value <- rnorm(nrow(dataset), sd = 0.5) + as.numeric(dataset$y) plotdata <- aggregate(dataset$value, list(x = dataset$x, y = dataset$y), mean) plotdata <- merge(plo

Re: [R] plotting group means

2008-09-09 Thread Chuck Cleland
On 9/9/2008 6:49 AM, Erich Studerus wrote: > Hi all, > > > > I want to plot the grouped means of some variables. The dependent variables > and the grouping factor are stored in different columns. I want to draw a > simple line-plot of means, in which the x-axis represents the variables and > y-