search for: kudrnovski

hi all, is there a new mechanism in R 2.3.0 for copying libraries from, say, R 2.2.1 to R 2.3.0? i ask because gabor grothendieck comments in his copydir.bat (from gabor's batchfiles at: http://cran.r-project.org/contrib/extra/batchfiles/batchfiles_0.2-5.zip ): ``:: I personally upgraded my 2.1.0 to 2.2.0 this way so it seems ok until :: R replaces this with something better which is

R version 1.8.1, OS Windows 98 Dear colleagues, if I import vegetation data (first row with column labels and first column with row labels) like 7MYRGERM;7AGRGIGA;7DRYOCTO;5MYRGERM;7SALELEA;7CHOCHON;7SALNIG?;....... t401;5;2;2;3;4;2;2;2;1;2;1;2;2;1;2;2;2;1;2;1;0;0;...... t403;3;0;0;6;4;0;3;0;0;3;0;0;0;0;3;0;0;0;2;0;2;0;..... with read.table("data.file", header=TRUE,

dear R-friends, i`ve got a large dataset of vegetation-samples with about 500 variables(=species) in the following format: 1 spec1 1 spec23 1 spec54 1 spec63 2 spec1 2 spec2 2 spec253 2 spec300 2 spec423 3 spec20 3 spec88 3 spec121 3 spec200 3 spec450 . . this means: sample 1 (grassland) with the species (=spec) 1, 23, 54, 63 is it possible to get a following data-structure for further

Hello everyone, I have a question on isoMDS. My data set (of vegetation) with 210 samples is in this way: Rotfoehrenau Lavendelweidenau Silberweidenau .... 067_Breg.7 0 2 0 .... 071_Dona.4 0 2 6 .... ... I want to do an isoMDS-analysis with the dissimilarity index

hi R-users, a few days ago R 2.2.1 came out. on my win xp i'installed R 2.2.0. along the time i've installed a lot of contributed packages. my internet-connection is not very fast. so my question: is it possible after installing R 2.2.1 to do copy/paste the contributed packages from the C:\Programme\R221 to the C:\Programme\R2.2.1- location in the files system? or have i to download

Hello R-friends, i have a question to the "text"-function. a little test-dataset for better understanding: -the dataset was imported with read.table(....,header=TRUE) s1-s10 are the samplenames var1 var2 var3 s1 1 1 2 s2 2 3 1 s3 2 2 3 s4 5 4 3 s5 4 2 3 s6 6 3 2 s7 8 5 4 s8 7 2 1 s9 9 3 2

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