Hi Phil On 30 April 2014 23:06, phil <[email protected]> wrote: > I just started to work with R a couple of weeks ago. Right now I would like > to regress an independent variable on a couple of explanatory variables. The > dependent variable is left censored in the sense that all negative values > and zero are set equal to one.
That is most likely not a suitable data transformation. > This is done because I want to take the logarithm which, as you all know, > is only defined for values bigger than zero. > > However, what I don't know now is how to compute this on R. Does anybody > know how to proceed? I already checked > http://cran.r-project.org/web/packages/censReg/vignettes/censReg.pdf > <http://cran.r-project.org/web/packages/censReg/vignettes/censReg.pdf> but > I am not able to apply the commands shown on page 8 correctly on my data > set. > > Hence, I would really appreciate if somebody could give me a step-by-step > instruction for my own dataset. 1st step: load the data set into R (see http://cran.r-project.org/doc/manuals/r-release/R-data.html) 2nd step: use pdata.frame() or plm.data() to specify the panel structure (see http://www.jstatsoft.org/v27/i02/) 3rd step: use censReg() to estimate the model (see http://cran.r-project.org/web/packages/censReg/vignettes/censReg.pdf) Please do read the posting guide http://www.R-project.org/posting-guide.html Best regards, Arne -- Arne Henningsen http://www.arne-henningsen.name ______________________________________________ [email protected] 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.
