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...et two matches, one at position 1 and one at position 4. I'd like to receive 4 matches at positions 1, 2, 3 and 4. Thanks, Schraga Schwartz Department of Human Molecular Genetics and Biochemistry, Tel Aviv University Medical School, Tel Aviv 69978, Israel. Tel: +972-3-640 6894 email: schragas@post.tau.ac.il [[alternative HTML version deleted]]

Hello, I have a dataframe with 40 columns and around 450,000 rows. The first column in each row is a factor id and the remaining are numeric. Some rows have the same ids. What I want to do is to merge each set of rows sharing the same ids (id set) into one single row (summarizing row) with that id. To create the summarizing row, I'd like to apply a different function on each of the

...'m not sure how to set the path in R to recognize them. I'd be very grateful for any help, Thank you very much, Schraga Schwartz Department of Human Molecular Genetics and Biochemistry, Tel Aviv University Medical School, Tel Aviv 69978, Israel. Tel: +972-3-640 6894 email: schragas@post.tau.ac.il [[alternative HTML version deleted]]

Hello, I've meanwhile got onechannelGUI running (my OS is windows). I'm trying to use it for the analysis of human exon arrays. I was able to load cel files and run them through affymetrix power tools, to obtain normalized affy data. My next step was trying to find differentially spliced exons. The menu offers to calculate either Midas or splice index scores. However, when I try to use

...rofessor Department of Biostatistics Erasmus University Medical Center Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands Tel: +31/(0)10/7043478 Fax: +31/(0)10/7043014 ------------------------------ Message: 100 Date: Tue, 31 Mar 2009 12:20:31 +0300 From: "Schragi Schwartz" <schragas@post.tau.ac.il> Subject: [R] Efficient calculation of partial correlations in R To: <r-help@r-project.org> Cc: 'Dror Hollander' <dror.hollander@gmail.com> Message-ID: <001601c9b1e1$f0b2d6e0$d21884a0$@tau.ac.il> Content-Type: text/plain Hello, I'm looking for an ef...

Hello, I'm looking for an efficient function for calculating partial correlations. I'm currently using the pcor.test () function, which is equivalent to the cor.test() function, and can receive only single vectors as input. I'm looking for something which is equivalent to the cor() function, and can receive matrixes as input (which should make the calculations much more efficient).