Re: [R] latin1 encoding in WriteXLS

2013-08-17 Thread Hugo Varet
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

[R] latin1 encoding in WriteXLS

2013-08-13 Thread Hugo Varet
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

Re: [R] agnes() in package cluster on R 2.14.1 and R 3.0.1

2013-06-12 Thread Hugo Varet
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]] _

Re: [R] agnes() in package cluster on R 2.14.1 and R 3.0.1

2013-06-11 Thread Hugo Varet
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

[R] agnes() in package cluster on R 2.14.1 and R 3.0.1

2013-06-09 Thread Hugo Varet
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

Re: [R] variances of random effects in coxme

2012-10-09 Thread Hugo Varet
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

[R] variances of random effects in coxme

2012-10-07 Thread Hugo Varet
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