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Thanks to everyone who helped me when I was totally clueless. Now I'm only partially clueless, and in writing functions, which is major progress. This is a function that is a major improvement over which I was using MS Excel for: function() { files <- list.files(pattern="ABN*") # All the models start with the letters ABN for( i in 1:length(files)) # loop through the

A.S.: I am sorry for sending my first mail to <r-help at R- project.org>. --------------------------------------------------------- Hallo, computing a Cox proportional hazards model in SPSS 9.0 and R 1.2.2 produces different results for beta-coefficient. I use the follwing data set (source: example in help(coxph), somewhat modified) Time Status Covariate (x)

Dear R-users, I have written the following code to generate some trellis plots. It works perfectly fine except that it is quite slow when it is apply to my typical datasets (over several thousands of lines). I believe the problem comes from the loops I am using to subset my data.frame. I read in the archives that the tapply function is often more efficient than a loop in R. Unfortunately ,

Hi R experts: I am new to mixed model commodity. I am tryping to specify a model using lmer in lme4 package. I am not sure if I am doing right, so I need your help....please...... Treatment / factor structure Year: level 1:3, the whole the experiment was repeated in three years, random factor village: level 1:2 # the level is much higher just three are shown as example, random factor Farm

Hi all. I have currently a server: cat /etc/redhat-release CentOS release 5.7 (Final) uname -a Linux host.domain.com 2.6.18-274.18.1.el5 #1 SMP Thu Feb 9 12:45:44 EST 2012 x86_64 x86_64 x86_64 GNU/Linux I have there a filesystem mounted: /dev/vg0/paczki /home/paczki-workdir ext4 defaults,noatime 0 0 on which df gives strange output: LANG=C df -h