Hi Peng,
Here is a suugestion using lapply():
res <- lapply(1:2, function(i) lm( x[i, ] ~ y[i, ]) )
names(res) <- c('row1','row2')
res
# The summaries for each regression
lapply(res, summary)
# for the coefficients only
lapply(res, coef)
# ANOVAs
lapply(res, anova)
HTH,
Jorge
On Sat, Sep 5, 2009 at 11:18 AM, Peng Yu <pengyu...@gmail.com> wrote:
> Hi,
>
> I am wonder if there is a function similar 'apply' but it could accept
> multiple arguments?
>
> For example, I have the following matrix.
> x=matrix(1:6,nr=2)
> y=matrix(1:6,nr=2)
>
> I want to find a function that can be used to compute the linear
> regression for each pair of rows in the two matrices?
>
> multiple_apply(x,y,1,function(u,v){lm(u ~ v)}
>
> That is, I wound like something like the above to compute the
> following. Can somebody let me know if there is such an command in R?
>
> lm(x[1,]~y[1,])
> lm(x[2,]~y[2,])
>
> Regards,
> Peng
>
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