Hello,
Use package quantreg, function rq().
install.packages("quantreg")
?rq
Hope this helps,
Rui Barradas
Citando Bryan Mac <bryanmac...@gmail.com>:
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.
______________________________________________
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.
