There are *many* ways, but here's two:
df = data.frame(x = c(1:10), y = rnorm(10,2,1), label = rep(c('a',
'b', 'c', 'd', 'e'),2))
with(df, ave(x, label)) # Returns the correct value in each spot
(useful if you want to add a group-mean column to df
with(df, tapply(x, label, mean)) # Probably more what you were looking for.
Michael
On Thu, Feb 2, 2012 at 10:47 AM, Martin Batholdy
<batho...@googlemail.com> wrote:
> Hi,
>
>
> I have the following data.frame:
>
> data.frame(x = c(1:10), y = rnorm(10,2,1), label = rep(c('a', 'b', 'c', 'd',
> 'e'),2))
>
> in this data.frame there is a label-variable containing strings.
> Each string is represented two times.
>
> Now I would like to have the mean of the corresponding x (and y-values) for
> every unique label-element.
>
> For the label 'a' for example there is an x value of 1 and 6.
> So the resulting value should be 3.5.
>
> How can I do this in R?
>
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