Hello, I am using cbind in a lm-model. For standard lm-models the r.squared can be easily extracted with summary(model)$r.squared, but that is not working in in the case with cbind.
Here an example to illustrate the problem: a <- c(1,3,5,2,5,3,1,6,7,2,3,2,6) b <- c(12,15,18,10,18,22,9,7,9,23,12,17,13) c <- c(22,26,32,33,32,28,29,37,34,29,30,32,29) data <- data.frame(a,b,c) model_a <-lm(b~a,data=data) model_b <-lm(cbind(b,c)~a,data=data) summary(model_a)$r.squared summary(model_b)$r.squared How can I access r.squared in my case? Is there any option? In the end, I want a dataframe containing the the intercept, slope, p-value and r.squared for all Y's of my regression. thank you Johannes -- ______________________________________________ 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.
