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Hello fellow R users, I have a matrix computation that I imagine should be relatively easy to do, however I cannot figure out a nice way to do it. I have two matrices, for example mat1 <- matrix(c(1:5,rep(NA,5), 6:10), nrow=3, byrow=T) mat2 <- matrix(c(2:6, 6:10, rep(NA,5)), nrow=3, byrow=T) I'd like to compute the element-wise average for non-NA entries. Of course (mat1+mat2)/2

Dear list, This is a simple question but I spent an hour on it without success. So I sorry to bother you. I fit a linear model "lm" and then did "anova". My idea is to run multiple pairwise comparision for several factor variables (f1, f2, f3, f4 each with its own levels, say "0", "1", "3" etc )at the same time and get statistics for each

Is there a text mining/ NLP package in R that could do text summarization? For example, take a huge text as input and provide a summary of the text. In package tm, summarization is defined more as high frequency terms which is not what I want. I actually want a summary of what is present in the huge volume of text. Any help on a R package would be helpful. Thank you. Ravi -- View this message

Dear friends, are there enough R users in Cyprus to form a club? jason Dr. Iasonas Lamprianou Department of Education The University of Manchester Oxford Road, Manchester M13 9PL, UK Tel. 0044 161 275 3485 iasonas.lamprianou at manchester.ac.uk ----- Original Message ---- From: "r-help-request at r-project.org" <r-help-request at r-project.org> To: r-help at r-project.org