Dear community, Apologies, I'm still pretty newbie. Anyway, I am performing linar regression analysis. As a common cause of non-normally distributed residuals is non-normally predictor variables, i'm interested in achieving the best transformation of the predictors. I've seen some commands at R, but I would like to know if it exists a command equivalent to gladder (graphic display) , and another one equivalent to ladder (numeric results, look for the transformation with the smallest chi-square) Thanks in advance, show user at host.com as user at host.com -- View this message in context: http://r.789695.n4.nabble.com/equivalent-from-gladder-and-ladder-from-stata-tp4431216p4431216.html Sent from the R help mailing list archive at Nabble.com.
Richard M. Heiberger
2012-Feb-29 17:58 UTC
[R] equivalent from gladder and ladder from stata
>From your description, I believe the ladder function in the HH package iswhat you are looking for. ## install.packages("HH") ## if necessary library(HH) data(tv) ladder(life.exp ~ ppl.per.phys, data=tv, scales=list(relation="free")) Rich On Wed, Feb 29, 2012 at 6:21 AM, agent dunham <crosspide@hotmail.com> wrote:> Dear community, > > Apologies, I'm still pretty newbie. Anyway, I am performing linar > regression > analysis. As a common cause of non-normally distributed residuals is > non-normally predictor variables, i'm interested in achieving the best > transformation of the predictors. > > I've seen some commands at R, but I would like to know if it exists a > command equivalent to gladder (graphic display) , and another one > equivalent > to ladder (numeric results, look for the transformation with the smallest > chi-square) > > Thanks in advance, show user@host.com as user@host.com > > -- > View this message in context: > http://r.789695.n4.nabble.com/equivalent-from-gladder-and-ladder-from-stata-tp4431216p4431216.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<http://www.r-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. >[[alternative HTML version deleted]]