On Thu, 2004-07-29 at 12:38, [EMAIL PROTECTED] wrote:
> Dear All,
> Help is needed! I have a matrix with frequencies of fish larvae per length
> class (var. sl) and age-group (var. median.no) obtained with
>
> >k<-table(cut(sl,(5:22)),median.no)
> >k[2:5,1:5] #to ilustrate k
>
> 4 5 6 7
> (6,7] 3 1 0 0
> (7,8] 3 0 1 0
> (8,9] 3 4 3 5
> (9,10] 3 15 7 13
>
> from this matrix I would like to obtain the mean age per length class i.e.
> vector of line means. How can I do this? If, instead of the means I wanted the
> variances, how could I do it?
> Thanks in advance,
> Eduardo Esteves
>
Ol� Edu,
To compute that kind of statistics it's better to have a vector with
your length values (you can get it from the names of your matrix if you
prefer). I supose you want to use the mean length interval so you can
use the weigthed.mean function
len <- seq(6.5,9.5,1)
lenbar <- apply(k, 2, FUN=function(x){weighted.mean(len,x)})
to get variances you can use
lenvar <- apply(k, 2, FUN=function(x){var(rep(len,x))})
I think you may also use cov.wt but I'm not sure.
A more interesting result can be
lendesc <- apply(k, 2, FUN=function(x){
vec <- rep(len,x)
c(summary(vec), var=var(vec), mad=mad(vec))
})
I'm sure there are better and more elegant ways of doing this but here
you have a "quick fix" for you're problem.
Abra�os amigos
EJ
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