Thanks for all the suggestions.
Cut + plotmeans (gplots) solved my problem.
> groups <- cut(t[,1],breaks=5)
> plotmeans(t[,2]~groups)
Thanks!
Federico
--- El jue, 29/10/09, Jim Lemon <j...@bitwrit.com.au> escribió:
De: Jim Lemon <j...@bitwrit.com.au>
Asunto: Re: [R] x-y plot as an histogram
Para: "Federico Abascal" <fedeabas...@yahoo.es>
CC: r-help@r-project.org
Fecha: jueves, 29 de octubre, 2009 23:29
On 10/30/2009 06:12 AM, Federico Abascal wrote:
> Hi,
>
> I am investigating a problem for which I found no solution.
> I have a matrix with two columns. I have plotted it as an x-y plot
> (plot(matrix[,1],matrix[,2])
> But this is not apropriate for my purposes. I need to group the data in
> matrix[,1] into groups (as an histogram would do). Then I have to calculate
> the average of matrix[,2] for each group.
>
> Before starting with loops and loops I would like to know if is there some
> way to do this easily with R.
Hi Federico,
If I understand your problem, I think you want first to use "cut":
groups<-cut(matrix[1,],breaks=???)
where ??? is the vector of breakpoints that you want. Then you can use whatever
averaging function (AVEFUN) you want with something like "by":
by(matrix[,2],groups,AVEFUN)
Jim
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