Dear All, I have a large data frame with 10 rows and 82 columns. I want to apply the same function to all of the columns with a single command. e.g. zl <- lm (snp$a_109909 ~ snp$lat) will fit a linear model to the values in lat and a_109909. What I want to do is fit linear models for the values in each column against lat. I tried doing zl <- (snp[,2:82] ~ snp$lat[,1]) but got the following error message "Error in model.frame.default(formula = snp[, 2:82] ~ snp[, 1], drop.unused.levels = TRUE) : invalid type (list) for variable 'snp[, 2:82]'". Does this mean I cannot use a data frame to do this? Should I have my data in a matrix instead?
Thanks -- View this message in context: http://r.789695.n4.nabble.com/automating-regression-or-correlations-for-many-variables-tp3426091p3426091.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.