[R] Alexandre MENICACCI/Daix/RED/GroupeFournier est absent(e).

Je serai absent(e) du 14/08/2006 au 21/08/2006. Je répondrai à votre message dès mon retour. __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-gui

[R] Alexandre MENICACCI/Daix/RED/GroupeFournier est absent(e).

Je serai absent(e) du 15/05/2006 au 18/05/2006. Je répondrai à votre message dès mon retour. __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-gu

[R] Alexandre MENICACCI/Daix/RED/GroupeFournier est absent(e).

Je serai absent(e) du 13/03/2006 au 20/03/2006. Je répondrai à votre message dès mon retour. __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-gu

[R] Building tkentry dynamicly

Dear R-users, I would like to build N "tkentry" compounds in the same window, with default text for each. As N is variable I need to construct them in an iterative way : library(tcltk) main<-tktoplevel() tktitle(main)<-"My Tool" filenames<-c("toto","tata","titi") N<-length(filenames) fo

[R] Homogenous groups building - Randomisation

Dear R-users, We expect to form N homogeneous groups of n features from an experimentation including N*n data. The aim is to prevent group effects. How to do that with R functionalitites ? Does anyone know any way enabling this ? Example : 100 patients are observed. 3 biochemical parameters

[R] Homogenic groups generation - Randomisation

Dear R-users, We expect to create N homogenic groups of n features from an experimentation including N*n mesures. The aim of this is to prevent from group effects. How to do that with R functionalities. Does anyone know any methodes enabling this ? Best regards. Alexandre MENICACCI Bioinform

[R] Use of lme() function

Dear R-users, We expect to develop statistic procedures and environnement for the computational analysis of our experimental datas. To provide a proof of concept, we plan to implement a test for a given experiment. Its design split data into 10 groups (including a control one) with 2 mesures

[R] Ancova and lme use

Dear R-users, We expect to develop statistic procedures and environnement for the computational analysis of our experimental datas. To provide a proof of concept, we plan to implement a test for a given experiment. Its design split data into 10 groups (including a control one) with 2 mesures

Re: [R] covariance analysis by using R

Hi, Is anyone has solved MR Xin Meng problem (see below) ? We have the same analysis configuration : 10 groups (including control one) with 2 mesures for each (ref at t0 and response at t1). We expect to compare each group response with control response (group 1) using a multiple comparison