Hi, Is in R any "fast" algorithm for correlation? What I mean is: I have very large dataset (microarray) with 55000 rows and 100 columns. I want to count correlation (p-value and cor.coef) between each row of dataset and some vector (of course length of this vector is equal to number of columns of dataset). In short words: For t-test we have: "normal" algorithm - t.test "fast" algorithm - rowttests For correlation: "normal" algorithm - cor.test "fast" algorithm - ???
Thank's for help -- View this message in context: http://www.nabble.com/%22Fast%22-correlation-algorithm-tp23548016p23548016.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
