9500 records. It didn`t run in SPSS or SAS on Windows machines, so I am
trying to convert the SPSS script to R to run in a RISC station at the
university.
On 8/17/06, Doran, Harold <[EMAIL PROTECTED]> wrote:
>
> Iuri:
>
> The lmer function is optimal for large data with crossed random effects.
> H
Hi, Iuri:
How much RAM and how fast a microprocessor (and what version of
Windows) do you have? You might still try it in R under Windows. The
results might be comparable or dramatically better in R than in SPSS or
SAS.
hope this helps.
Spencer Graves
Iuri Gavronski wrot
We have tried on many machines, from my laptop to a dual core Intel
processor with 1GB of RAM.
On 8/17/06, Spencer Graves <[EMAIL PROTECTED]> wrote:
>
> Hi, Iuri:
>
> How much RAM and how fast a microprocessor (and what version of
> Windows) do you have? You might still try it in R under Wi
Burt Gunter just reminded me that the completion time could also
be affected by the numbers of levels of each of the factors, especially
random effects: With N records, any variance components / mixed model
software using MLE or REML will have to invert repeatedly an N x N
matrix for the
