Hi Petr,
Thanks again!!! model is a list. So your suggestion:
mod <- matrix(NA, 1000, ncols) doesn't work.
I thought that do.call and rbind would be the best for these data?
Cheers,
Ross
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Hi
r-help-boun...@r-project.org napsal dne 10.03.2010 15:37:00:
>
> Hi Petr,
>
> Thanks again for your post the problem is now solved - thank you so much
for
> trying and trying to get this to work.
>
> So the final script that actually worked was:
>
> ##ALL SUBSET DATA
>
> #Create vector t
Hi Petr,
Thanks again for your post the problem is now solved - thank you so much for
trying and trying to get this to work.
So the final script that actually worked was:
##ALL SUBSET DATA
#Create vector to put data in
mod <- vector(1000,mode="list")
#first order your data according to ID2
da
Hi
r-help-boun...@r-project.org napsal dne 01.03.2010 16:36:27:
>
> Hi Petr,
>
> Thanks again for trying again with these data, I really appreciate it.
>
> Your script works perfectly, but the problem I'm having is how to store
the
> model results so after your script I would do:
>
>
Hi Petr,
Thanks again for trying again with these data, I really appreciate it.
Your script works perfectly, but the problem I'm having is how to store the
model results so after your script I would do:
m1.R<-glm(cbind(res$BEH_T, res$BEH_F) ~ res$SITE + res$YEAR +
res$PRECIP_MM
Hi
I finally managed to get your data from CRAN help list
Here is slightly modified solutions
# just for initiation
value<- matrix(NA, 98, 10)
# slower way
rad <- nrow(data)
for( i in 1:10) {
# sampling row indices
ss <- sample(1:rad)
# ordering data according to sampled row indices
Sample
The data you put before was just those 98 rows.
> data=read.table("clipboard", header=T)
> data$ID2
[1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
24 25
[26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48
49 50
[51] 51 52 53 54 55 56 57 58 59 60 6
Hi Pter,
No doubt!
I have put a very short form of the data set on the email - it is basically
2 data points from each individual, which should be enough to get an idea of
where I'm going wrong.hopefully!
I can send this as a .csv if you prefer?
Cheers,
Ross
SITE_NAME SITEYEAR
Hi
again I believe you are fishing a wrong pond.
r-help-boun...@r-project.org napsal dne 01.03.2010 11:46:12:
>
> Hi Petr,
>
> Thank you for your post - I really appreciate you taking the time over
my
> problem.
>
> Apologies for not posting more data, it is just that the data set is
rathe
Hi Petr,
Thank you for your post - I really appreciate you taking the time over my
problem.
Apologies for not posting more data, it is just that the data set is rather
large, and I don't like posting the whole thing on the website for that
reason.
I have managed to random sample the 98 indivi
Hi
I am bit confused what you want to achieve. As I can not reproduce code
without your data I just guess.
If I understand you want to select from all your data randomly 98 values
for 98 animals (one for each animal). I presume your id2 is sorted.
One option
# make sorted ids
id2<-sample(1:5
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