Hi R-help, How do you perform least median square regression in R? Here is what I have but received no output.
LMSRegression <- function(df, indices){ sample <- df[indices, ] LMS_NAR_NIC_relation <- lm(sample$NAR~sample$NIC, data = sample, method = "lms") rsquared_lms_nar_nic <- summary(LMS_NAR_NIC_relation)$r.square LMS_SQRTNAR_SQRTNIC_relation <- lm(sample$SQRTNAR~sample$SQRTNIC, data = sample, method = "lms") rsquared_lms_sqrtnar_sqrtnic <- summary(LMS_SQRTNAR_SQRTNIC_relation)$r.square out <- c(rsquared_lms_nar_nic, rsquared_lms_sqrtnar_sqrtnic) return(out) } Also, which value should be looked at decide whether this is best regression model to use? Bryan Mac bryanmac...@gmail.com [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.