Hey Jean,
This appears to have worked!! Thank you so much, this is an immense help to
me.
Best
On Tue, Mar 26, 2013 at 11:33 AM, Adams, Jean wrote:
> Thanks. That helps.
>
> Using the example data you sent, I came up with this loop. See if it does
> the trick for you.
>
> niter <- 2
> nspp <-
Thanks. That helps.
Using the example data you sent, I came up with this loop. See if it does
the trick for you.
niter <- 2
nspp <- 11
ntrees <- 22
lnbm <- matrix(NA, niter, ntrees)
for(i in 1:niter) {
for(j in 1:ntrees) {
k <- j1data$its==i & j1data$spp==predictdata$spp[j]
lnbm[i, j] <- j1dat
It would be helpful to see what your data frames look like ... perhaps you
could share the first few rows of each with us.
dput(head(j1data))
dput(head(predictdata))
Jean
On Mon, Mar 25, 2013 at 9:29 PM, Curtis Burkhalter <
curtisburkhal...@gmail.com> wrote:
> Hello,
>
> I'm working on a prob
Hello,
I'm working on a problem using nested for-loops and I don't know if it's a
problem with the order of the loops or something within the loop so any
help with the problem would be appreciated. To briefly set up the problem.
I have 259 trees (from 11 different species, of unequal count for e
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