Very nice, i really like this one! May confuse non-R users, but
that's not a concern here.
Thanks a lot,
baptiste
On 30 May 2008, at 13:19, Charilaos Skiadas wrote:
I think this is where the beauty of ... comes in, the following
should be doing just what you want:
sapply(my.data, apply
On May 30, 2008, at 5:37 AM, baptiste Auguié wrote:
Thank you for the suggestions (off-list as well). I think the best
option may eventually be an explicit for loop to make things
clearer. To clarify a bit, I've used the plot function in the
example where in fact it is a numerical integrat
Thank you for the suggestions (off-list as well). I think the best
option may eventually be an explicit for loop to make things clearer.
To clarify a bit, I've used the plot function in the example where in
fact it is a numerical integration (which is why I need to pass an
additional variab
> I need to apply a function on each column of each matrix contained in
> a list. Consider the following code,
>
> > x <- 1:3
> > my.data <- list(matrix(c(1,2,3,4,5,6),ncol=2),
> > matrix(c(4,5,6,7,8,9),ncol=2))
> >
> > par(mfrow=c(2,2))
> > results <- sapply(1:length(my.data),
> >
Dear list,
I need to apply a function on each column of each matrix contained in
a list. Consider the following code,
x <- 1:3
my.data <- list(matrix(c(1,2,3,4,5,6),ncol=2),
matrix(c(4,5,6,7,8,9),ncol=2))
par(mfrow=c(2,2))
results <- sapply(1:length(my.data),
function(ii)
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