Dear Vanessa Please provide a minimal *reproducible* example that illustrates your problem, e.g. using a data set that is included in an R package.
Best regards, Arne On 4 January 2017 at 10:28, Vanessa Romero <vanrom...@gmail.com> wrote: > Hello, > > I am doing Tobit Regression in R, because my dependent variable is censored > at 0. I have unbalanced panel data, for 6 years, 107 companies. I use > package CensReg. > > I have imported my database(T1). > > I use pdata.frame to specify the structure of my panel data. Like: > > > *mydata<- pdata.frame (T1, index = c("firm", "year")) * > Afterwards: > > *Tob <- censReg(formula=Imp ~ Bath + CEOTurnover + ChangeOCF + E + Sales + > ROE + GTA + Size , data = mydata, method="BHHH") * > (as explained here: > https://cran.r-project.org/web/packages/censReg/vignettes/censReg.pdf) > > I got here error message: > > > *Warnmeldung: In log(rEff$ercomp$sigma$id) : NaNs wurden erzeugt* > > Another error message when *summary(Tob)* > > > > > > *Call: censReg(formula = Imp ~ Bath + CEOTurnover + ChangeOCF + E + Sales + > ROE + GTA + Size, data = mydata, method = "BHHH") Observations: Total > Left-censored Uncensored Right-censored 606 469 137 0 Coefficients: Fehler > in printCoefmat(coef(x, logSigma = logSigma), digits = digits) : 'x' must > be coefficient matrix/data frame* > > I am new to statistics and to R, what could be the problem or would you > suggest using other package. > > Thank you, > Vanessa > > [[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. -- Arne Henningsen http://www.arne-henningsen.name ______________________________________________ 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.