Ok, I think I found the issue. I'm not sure why this varies by platform but the
mismatch is due to the @env slot. Two environments are only identical if it is
*the* same environment (i.e. the same pointer). However, M1 and M2 have
different environments. The content of those environments is iden
Daniel,
thanks for the test case. I did run it in valgrind but nothing showed up,
however ...
I'm starting to have a suspicion that this has something to do with identical()
- look at this:
> identical(M1,M2)
[1] FALSE
> all(serialize(M1,NULL)==serialize(M2,NULL))
[1] TRUE
> identical(unseria
Thanks for your help on this topic.
In fact, one of the vignettes needs hours to run some simulations; hence I'm
going to provide the pdf for CRAN.
>
> * - which reminds me -- what is the correct place to list vignette
> dependencies? "Suggests:" ?
I now added a
%\VignetteDepends{lme4}
state
Mike Williamson wrote:
> Hello developers,
>
> I noticed that if I am running 'R', type "rm(list=objects())" and
> "gc()", 'R' will still be consuming (a lot) more memory than when I then
> close 'R' and re-open it. In my ignorance, I'm presuming this is something
> in 'R' where it doesn't re
Leo Evangelista wrote:
> Sir/Madam,
>
>
>
> Installed in my computer is the Version 2.9.1(2009-06-26) of R. I have a
> SPSS.sav file produced by SPSS Version 17.
>
>
>
>
>
>> install.('foreign')
>
>> library(foreign)
>
>
>
> <- read.spss("f:/sme.sav",use.value.labels=FALSE)
>
> Wa
Sir/Madam,
Installed in my computer is the Version 2.9.1(2009-06-26) of R. I have a
SPSS.sav file produced by SPSS Version 17.
>install.('foreign')
>library(foreign)
<- read.spss("f:/sme.sav",use.value.labels=FALSE)
Warning message:
In read.spss("f:/sme.sav", use.value.labels = F
