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...to do it alone. So if some people are interested, two other project are almost open : - R to LaTeX Bivaraite Analysis - R to HTML Univariate Analysis Thanks Christophe Genolini Junior statistician "PSIGIAM: Paris Sud Innovation Group in Adolescent Mental Health" INSERM U669 / Maison de Solenn / Paris _______________________________________________ R-packages mailing list R-packages at r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages

...en S-plus and R syntaxe. However, I didn't succeed to use stepwise function in R. I think the best equivalent in R is step, but this function seems not to use same parameters. is there a better equivalent in R ? or package to make stepwise compatible with R ? Thank you for answers Regards, solenne carat student Institut du thorax - Inserm U533 France

...to do it alone. So if some people are interested, two other project are almost open : - R to LaTeX Bivaraite Analysis - R to HTML Univariate Analysis Thanks Christophe Genolini Junior statistician "PSIGIAM: Paris Sud Innovation Group in Adolescent Mental Health" INSERM U669 / Maison de Solenn / Paris _______________________________________________ R-packages mailing list R-packages at r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages

Hi again Sorry, in looking again at sammon and isoMDS I see that they seem to do exactly what I want, except that they are non-metric, which means, as I understand it, that they relate the rank orders of the variables rather than the actual distances. Could I use these non-metric MDS packages even if my distances are metric? Thanks Karen -- Karen Kotschy Centre for Water in the Environment

Hi all, I have relatively small dataset on which I would like to perform a PCA. I am interested about a package that would also combine a method for determining the number of components (I know there are plenty of approaches to this problem). Any suggestions about a package/function? thanks, Nick -- View this message in context:

Hi. I have data which i would want to assess the degree of agreement between two assays, e.g., to evaluate reproducibility or for inter-rater reliability. I have used the Pearson product-moment correlation coefficient. It looks good ranginging between 0.90 to 0.998. Though this looks good. I am told the Concordance correlation coefficient will give a better picture of how reproducible the assay

I'm in this situation: factorlabels <- c("School", "College", "Beyond") with data for 8 families: education.man <- c(1,2,1,2,1,2,1,2) # Note : no "3" values education.wife <- c(1,2,3,1,2,3,1,2) # 1,2,3 are all present. My goal is to create this table: School College Beyond

I work for a Investment group with a very extensive training program and we are having our new hires take a statistics course at University of Chicago where they have to complete some assignments with R. I was wondering if there are any online tutorials that exist where we could get our participants comfortable with R before the class itself? I appreciate any help at all. Thanks, Matt Maxon

Dears, I'm a college student and In doing my statistics homework. I use R with SEM package as my tool for sem analysis, but my teacher told me AMOS is more suitable for such analysis. Could someone help tell me whether it is true that some commercial software is better accepted in academic fields? Sorry if I should not post such topics here. -- Best Regards, Reeyarn T. Lee Accounting