Yes, it also occurs with WriteXLS version 3.2.1.
This test on several computers always leads to the same error.
Hugo Varet
2013/8/17 Rainer Hurling
> Am 13.08.2013 19:40, schrieb Hugo Varet:
> > Dear R users,
> >
> > I've just updated the WriteXLS package (on
y/3.0/WriteXLS/Perl/WriteXLS.pl"
--CSVPath "C:\Users\varet\AppData\Local\Temp\RtmpEzqFNz/WriteXLS" --verbose
FALSE --AdjWidth FALSE --AutoFilter FALSE --BoldHeaderRow FALSE --FreezeRow
0 --FreezeCol 0 --Encoding latin1 "C:\Users\varet\Desktop\irislatin1.xls"'
renvoie u
Dear Martin,
Thank you for your answer. I got the dist.binary() function in the ade4
package. It gives several distances for binary data. I agree with you, some
individuals probably share the same profile in my data.
Regards,
Hugo
[[alternative HTML version deleted]]
_
ni,
"dist"),method = "ward")
classe.agnTani.3 <- cutree(resAgnes.Tani, 3)
I'm going to send you the data in a separated e-mail.
Regards,
Hugo
Le lundi 10 juin 2013, Martin Maechler a
écrit :
>>>>>> Hugo Varet
>>>>>> on Sun, 9 Jun
74 0229
2 02350
3 120 0 15
So, I was wondering if it was normal that the C and FORTRAN codes give
different results?
Best regards,
Hugo Varet
[[alternative HTML version deleted
Dear R users, Terry Theneau,
thank you very much for you answer. I'm running R 2.15.1 (32 bits) and
coxme 2.2-3. Here is a small R code which reproduces the problem (I fitted
a model with random effects whereas it is useless), it gives exactly the
same estimations of the variances than on my real
Dear R users,
I'm using the function coxme of the package coxme in order to build Cox
models with complex random effects. Unfortunately, I sometimes get
surprising estimations of the variances of the random effects.
I ran models with different fixed covariates but always with the same 3
random ef
7 matches
Mail list logo