karena wrote:
> I need to create 10 matrices. say matrix 1-10.
>
> matrix_1 is 1 by 1
> matrix_2 is 2 by 2
> matrix_3 is 3 by 3
> .
> .
> .
> matrix_10 is 10 by 10
>
> I am just wondering if there are some functions in R that are similar to the
> macro variables in SAS. so I can create these 10 matrices by doing:
> for (i in 1: 10) {
> matrix_$i <- matrix(nrow=i, ncol=i)
> }
>
> rather thank creating these matrices one by one manually.
>
> Anyone have any suggestions?
First, the standard counterquestion is "Why?". What do you gain over
ml <- lapply(1:10,function(i)matrix(,i,i))
ml[[1]]
..
ml[[10]]
??
If you insist on cluttering up your workspace with 10 separate
variables, it can be done with
for (i in 1:10)
assign(paste("matrix",i,sep="_"), matrix(,i,i))
(There are situations where you do wish for macro-like substitutions in
R, I just don't think this is one of them. One case is when you perform
similar analyses for different responses, as in
for (i in list(diabt, sysbt, chol))
print(summary(lm(i~age+sex)))
and all three regression analysis come out with response variable "i"
rather than the relevant variable name. This too is doable with some
eval(bquote(...)) trickery.)
--
Peter Dalgaard
Center for Statistics, Copenhagen Business School
Phone: (+45)38153501
Email: pd....@cbs.dk Priv: pda...@gmail.com
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