Unfortunately I found myself in the same position as outlined above, where I was requested to reproduce 'standardized regression coefficients' as reported by SPSS. Below an example that produces something very similar to the results table from an SPSS "Linear Regression" procedure, including the standardized regression coefficients:
mylm <- lm(Sepal.Width ~ ., data=iris, x=TRUE, y=TRUE) sd.x <- sd(mylm$x); sd.y <- sd(mylm$y); std.coef <- coef(mylm) * (sd.x / sd.y); coef.table <- as.data.frame(summary(mylm)$coefficients); coef.table <- cbind(coef.table, std.coef); print(coef.table); I do agree with B.R. but unfortunately the life of an applied statistician is complex sometimes :-) -- View this message in context: http://r.789695.n4.nabble.com/Standardized-beta-coefficients-in-regression-tp791616p3842631.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.
