Hello (1) How can I compare two Pearson correlation coefficients for significant differences without the use of the raw data?
(2) How can I compare two linear regression coefficients for significant differences without the use of the raw data? (3) How can I compare two multiple correlation coefficients (as produced in a linear regression) for significant differences, again, if the raw data should not be used? <src type="perhaps useful"> da <- data.frame( "y1"=sample(1:5, 40, repl=T), "y2"=sample(1:5, 40, repl=T), "x1"=sample(1:5, 40, repl=T), "x2"=sample(1:5, 40, repl=T) ) cro1 <- cor(da$y1, da$x1) cro2 <- cor(da$y2, da$x1) lmo1 <- lm(y1 ~ x1 + x2, data=da) lmo2 <- lm(y2 ~ x1 + x2, data=da) </src> Thanks, Sören ______________________________________________ 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.
