Eik and Patrick,

Thanks I will give those a try.


On Thu, Jul 15, 2010 at 8:15 AM, Patrick J Rogers <pjrog...@ucsd.edu> wrote:

> Hi Steven,
>
> You can just cut the matrix up into a 5 column matrix and use apply as
> normal
>
> m2<-matrix(as.vector(t(m)), ncol=5, byrow=TRUE)
> result<-matrix(apply(m2, 1, mean), ncol=ncol(m)/ncol(m2), byrow=TRUE)
> result
>
> --
> Patrick Rogers
> Dept. of Political Science
> University of California, San Diego
>
> On Jul 15, 2010, at 2:39 AM, steven mosher wrote:
>
> > Given a matrix of MxN
> >  want to take the means of rows in the following fashion
> > m<-matrix(seq(1,80),ncol=20, nrow=4)
> > result<-matrix(NA,nrow=4,ncol=20/5)
> > result[,1]<-apply(m[,1:5],1,mean)
> > result[,2]<-apply(m[,6:10],1,mean)
> > result[,3]<-apply(m[,11:15],1,mean)
> > result[,4]<-apply(m[,16:20],1,mean)
> > result
> >     [,1] [,2] [,3] [,4]
> > [1,]    9   29   49   69
> > [2,]   10   30   50   70
> > [3,]   11   31   51   71
> > [4,]   12   32   52   72
> >
> > So, I want the mean of every successive 5 values in a row
> >
> > as the dimension in columns is wide I cant write it with multiple apply
> as
> > above
> >
> >       [[alternative HTML version deleted]]
> >
> > ______________________________________________
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> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
>

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