Vincent, I believe Prof. Ripley is referring to this: http://www.stats.ox.ac.uk/pub/MASS4/
----------------Contact Details:------------------------------------------------------- Contact me: tal.gal...@gmail.com | Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com (English) ---------------------------------------------------------------------------------------------- On Sat, Oct 19, 2013 at 3:22 PM, vincent guyader <vincent.guya...@gmail.com>wrote: > 2013/10/19 Prof Brian Ripley <rip...@stats.ox.ac.uk> > > > On 18/10/2013 15:01, Vincent Guyader wrote: > > > >> Hi everyone, > >> > >> If I compute a "Ordered Logistic or Probit Regression" with the polr > >> function from MASS package. the summary give me : coefficients, Standard > >> error and Tvalue.. but not directly the p.value. > >> > >> > >> I can compute "manualy" the Pvalue, but Is there a way to directly > obtain > >> the pa.value, and I wonder why the p.valeu is not directly calculated, > is > >> there a reason? > >> > > > > How are you going to calculate the P values? Have you read the book for > > which this is support software?: it explains why such Wald tests are > > inappropriate and that the asymptotic theory can be wildly misleading. > > > > Hi, > > thanks for your answer. > to have the P.value I use this code : > http://www.ats.ucla.edu/stat/r/dae/ologit.htm > > pnorm(abs(ctable[, "t value"]), lower.tail = FALSE) * 2 > > It give the same result as Stata, but you are right i'm not sure that it's > good. Could you please tell me which book you are talking about. > > Regards > > > > > > > >> exemple : > >> > >> house.plr <- polr(Sat ~ Infl + Type + Cont, weights = Freq, data = > >> housing) > >> house.plr > >> summary(house.plr, digits = 3) > >> > >> > >> > >> > >> Regards > >> > >> [[alternative HTML version deleted]] > >> > >> ______________________________**________________ > >> R-help@r-project.org mailing list > >> https://stat.ethz.ch/mailman/**listinfo/r-help< > 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. > >> > >> PLEASE do. > > > > -- > > Brian D. Ripley, rip...@stats.ox.ac.uk > > Professor of Applied Statistics, http://www.stats.ox.ac.uk/~**ripley/< > http://www.stats.ox.ac.uk/~ripley/> > > University of Oxford, Tel: +44 1865 272861 (self) > > 1 South Parks Road, +44 1865 272866 (PA) > > Oxford OX1 3TG, UK Fax: +44 1865 272595 > > > > ______________________________**________________ > > R-help@r-project.org mailing list > > https://stat.ethz.ch/mailman/**listinfo/r-help< > 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]] > > ______________________________________________ > 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 > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ 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 and provide commented, minimal, self-contained, reproducible code.