hey, folks, I have two very simple questions. I am not quite sure if I can do this using R.
so, I am analyzing a large data frame with thousands of variables. For example: Dependent variables: d1, d2, d3 (i.e., there are three dependent variables) Independent variables: s1, s2, s3, ......s1000 (i.e., there are 1000 independent variables) now I want to run simple linear regression analyses of dependent variables on independent variables. A laborious way to do this is running 1000 linear regression models for each dependent variable separately. This would take a lot of time. My question is: 1) is there a easy way to run all 1000 linear regression analyses for each dependent variable at once? 2) after running all 1000 linear regression analyses at once, how can I write 3000 regression weights (1000 regression weights for each dependent variable) and its significance level in to a file (e.g., csv, excel, ect). Many thanks in advance!! -- View this message in context: http://r.789695.n4.nabble.com/how-to-run-linear-regression-models-at-once-tp3179256p3179256.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.