search for: lindnerw

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2001 Oct 08
1
Package Install Problem under Win98
...ail: Lindner at math.uni-duisburg.de Institut fuer Mathematik, LE 424 Lotharstr. 65 D 47048 Duisburg (Germany) NaT-Working: http://www.uni-duisburg.de/FB11/PROJECTS/NATW/index.html Home: http://www.uni-duisburg.de/FB11/STAFF/Lindner.html privat: Stieglitzweg 6, D 42799 Leichlingen eMail : LindnerW at t-online.de Phone : +49 (02175) 71163 Mobil : +49 (0)174 9134006 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe"...
2006 Sep 20
8
Statitics Textbook - any recommendation?
I would like to buy a basic statistics book (experimental design, sampling, ANOVA, regression, etc.) with examples in R. Or download it in PDF or html format. I went to the CRAN contributed documentation, but there were only R textbooks, that is, textbooks where R is the focus, not the statistics. And I would like to find the opposite. Other text I am trying to find is multivariate data
2003 Jan 03
4
factor analysis (pca): how to get the 'communalities'?
Dear expe-R-ts, I try some test data for a factorAnalysis (resp. pca) in the sense of Prof. Ripley's MASS ? 11.1, p. 330 ff., just to prepare myself for an analysis of my own empirical data using R (instead of SPSS). 1. the data. ## The test data is (from the book of Backhaus et al.: Multivariate ## Analysemethoden. Springer 2000 [9th ed.], p. 300 ff):
2008 Nov 21
3
HELP
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2008 Nov 28
0
ranking the results of a questionnaire
dear experts, I reproduced an experiment (questionnaire) some times. The result of the experiment is a vector of 5 factors, say (A,B,C,D,E). In the original article the result is given in 5 pairs of mean and stDev for A .. E, e.g. mean_A=37.4 and sd_A=8.1. The interval for A,B,C,D,E values is 0..50. The original data frame is not available. For a comparison of my results
2008 Dec 03
2
changing colnames in dataframes
dear all, I'm building new dataframes from bigger one's using e.g. columns F76, F83, F90: JJ<-data.frame( c( as.character(rep( gender,3))) , c( F76,6- F83, F90) ) Looking into JJ one has: c.as.character.rep.gender..8... c.6...F73..F78..F79..F82..6...F84..F94..F106..F109 1 w 2 2 w