I am confused reading the document. I have installed and added the package (MASS).
What is the function for LMS Regression? Bryan Mac bryanmac...@gmail.com > On Oct 8, 2016, at 6:17 AM, Enrico Schumann <e...@enricoschumann.net> wrote: > > On Sat, 08 Oct 2016, Bryan Mac <bryanmac...@gmail.com> writes: > >> 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 >> > > A tutorial on how to run such regressions is included > in the NMOF package. > > https://cran.r-project.org/package=NMOF/vignettes/PSlms.pdf > > > -- > Enrico Schumann > Lucerne, Switzerland > http://enricoschumann.net ______________________________________________ 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.