On Oct 6, 2015, at 10:42 AM, Adrienne Wootten wrote:
> R-Helpers,
>
> I've seen some similar threads about this question online, but not quite
> what I'm looking for. I apologize in advance if someone's already answered
> this and I just can't find it online.
>
> Say that I have an array like
Bill,
Thanks a bunch that works great!
A
On Tue, Oct 6, 2015 at 2:56 PM, William Dunlap wrote:
> Since the model matrix, cbind(1,time) is the same for all your
> response variables,
> you can calculate this on one call to lm, but you have to rearrange the
> response
> values so that each x,y s
Since the model matrix, cbind(1,time) is the same for all your
response variables,
you can calculate this on one call to lm, but you have to rearrange the response
values so that each x,y set is in one column. I think the following
function does it:
f <- function (time, y)
{
stopifnot(length(
Almost forgot that function lmfunc is this:
lmfunc = function(valist,input){
fitted.values(lm(valist~input))
}
A
On Tue, Oct 6, 2015 at 2:41 PM, Adrienne Wootten wrote:
> FYI I did try something like this:
>
> test = apply(test3,c(1,2),lmfunc,input=t)
>
> but that gives me an array that is
FYI I did try something like this:
test = apply(test3,c(1,2),lmfunc,input=t)
but that gives me an array that is 10 rows by 5 columns by 5 slices, and I
need it to keep the same dimensions as test3 (5x5x10)
A
On Tue, Oct 6, 2015 at 1:42 PM, Adrienne Wootten wrote:
> R-Helpers,
>
> I've seen so
R-Helpers,
I've seen some similar threads about this question online, but not quite
what I'm looking for. I apologize in advance if someone's already answered
this and I just can't find it online.
Say that I have an array like test3 in the little example code I have below:
test1 = array(rep(1:1
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