search for: phguardiol

Hi I d like to compile the source code from last Affy package for WinXPpro under R18beta however the doc is pretty poor regarding this process... I went to FAQ R Win then to http://www.stats.ox.ac.uk/pub/Rtools/ and downloaded in The essentials, tools and Perl 5.8.0, then MingW from www.mingw.org and I wonder if I need any other stuff from this page ? I m not sure but I dont think I need the

Hi, this is both a statistical and a R question... what would the best way / test to detect an outlier value among a series of 10 to 30 values ? for instance if we have the following dataset: 10,11,12,15,20,22,25,30,500 I d like to have a way to identify the last data as an outlier (only one direction). One way would be to calculate abs(mean - median) and if elevated (to what extent ?) delete the

Hi, I m trying to down load the binary for Win of R1.7 (called R 0.8... ?) from few mirrors but all are down... Is it normal ? Regards Philippe [[alternate HTML version deleted]]

this problem also occurred later in the installation process: C:\Program Files\R\rw1080beta\doc\manual\refman.pdf C:\Program Files\R\rw1080beta\library\mva\html\loadings.html C:\Program Files\R\rw1080beta\library\ctest\html\fisher.test.html C:\Program Files\R\rw1080beta\library\base\chtml\base.chm C:\Program Files\R\rw1080beta\afm\hvo____.afm An error occured while trying to copy a file: The

Dear R users, I have just moved to R2.6.1 under Opensuse linux 10.3. I used to work with R under XPpro. Is it "normal" to have a visual aspect of R under linux different ? I mean without a window with menus etc... What I do is just open a console window and type R then I just obtain a:?? >?? waiting for my input. No menu I can click to open for instance to go to the different

Hello, I d like to run a survival analysis with "left truncated data". Could you recommend me a package to do this please ? Thanks Philippe Guardiola ________________________________________________________________________ Re?evez AOL Mail sur votre t?l?phone. Vos e-mails accessibles ? tout moment! Cr?ez un e-mail gratuit aujourd?hui.

Dear R users I m planning to move to Linux to use R (currently under Win XPPro on a 32bit PC with 4 Go RAM), I have 2 questions: - is there a recommended "version/distribution" of Linux to run?R and Bioconductor packages: Fedora ? Ubuntu ? Suse ? Debian ? - Regarding Fedora, I see that now it is version 8 available on the web, but on R website I can only see R Fedora 7 version (no F8);

...s, times[-1], causeS = 1, resample.iid = 1, model = "prop") any help is very welcome regards Philippe G ----- Message d'origine ---- De : Arthur Allignol <arthur.allignol@fdm.uni-freiburg.de> À : Philippe Guardiola <allogreffe@yahoo.fr> Cc : R-help@r-project.org; phguardiol@aol.com Envoyé le : Vendredi, 22 Août 2008, 11h53mn 42s Objet : Re: [R] Help on competing risk package cmprsk with time dependent covariate Hello, Something i don't understand in your question. Is treatment a time-dependent covariate? That is, do patients receive the treatment at the beginnin...

Dear R users, I have survival estimates for 2 groups according to a factorial covariate (covar=1 or 2) and I d like to only plot the difference in term of survival between these 2 groups over time with 95%CI. Could someone send me a short script to do that since I m not an old R programmer ? thanks Philippe [[alternative HTML version deleted]]

Dear R users, is there a way, I mean a package, to perform a competing risk model which can handle time dependent covariates ? my main covariate (additional treatment to patients) appears not to follow the proportional hazards assumption, its effect being observed after one year of treatment but not before (this is expected / makes sense on a clinical point of view). SO I was planning to use a

Dear R users, I d like to assess the effect of "treatment" covariate on a disease relapse risk with the package cmprsk. However, the effect of this covariate on survival is time-dependent (assessed with cox.zph): no significant effect during the first year of follow-up, then after 1 year a favorable effect is observed on survival (step function might be the correct way to say that