Gabriele Stocco <stoccog <at> units.it> writes: > > Dear R help, > I have two dataframes with the same number of rows and columns. Each > column is for a patient, each row for a variable. The columns and rows > are matched in the two dataframes, so that each patient (column) and > each variable (row) has the same position in the two dataframes. The > values are different since each dataframe reports data from a > different way to measure the same variables in the sampe patients. > > How can I make a cor.test, applying the function row by row in the two > different dataframes, possibly without merging them? > > Thanks, > > Gabriele Stocco > University of Trieste
Try: # Create Data Frames With Rows as Variables x<-as.data.frame(t(as.data.frame(matrix(rnorm(100),10)))) y<-as.data.frame(t(as.data.frame(matrix(rnorm(100),10)))) # Convert to Lists So that Each Element of List is a variable t.x<-as.list(as.data.frame(t(x))) t.y<-as.list(as.data.frame(t(y))) # Use mapply to apply function to the two lists; see ?mapply mapply(cor.test,t.x,t.y) Mark Lyman ______________________________________________ R-help@stat.math.ethz.ch 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.
