Hello everybody, I would like to perform a test for normality (without specifying the mean a variance) on the sample data (80 observations). I found that Lilliefors test is appropriate. Does anybody have it programmed already, or is there a function for this test in R? Thank you very much, Martina Pavlicova -------------------------------------------------------------------------- Department of Statistics Office Phone: (614) 292-1567 1958 Neil Avenue, 304E Cockins Hall FAX: (614) 292-2096 The Ohio State University E-mail: pavlicov at stat.ohio-state.edu Columbus, OH 43210-1247 www.stat.ohio-state.edu/~pavlicov
On 17 Oct 2003 at 13:59, Martina Pavlicova wrote: There is shapiro.test in package ctest, which have much better power properties than Lillefors test. So there is no need to have Lilliefors test in R, except for archeological interest. Kjetil Halvorsen> > Hello everybody, > > I would like to perform a test for normality (without specifying the > mean a variance) on the sample data (80 observations). I found that > Lilliefors test is appropriate. Does anybody have it programmed already, > or is there a function for this test in R? > > Thank you very much, > > Martina Pavlicova > -------------------------------------------------------------------------- > Department of Statistics Office Phone: (614) 292-1567 > 1958 Neil Avenue, 304E Cockins Hall FAX: (614) 292-2096 > The Ohio State University E-mail: pavlicov at stat.ohio-state.edu > Columbus, OH 43210-1247 www.stat.ohio-state.edu/~pavlicov > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help
Is it not true that the Shapiro Wilks test implemented in the package ctest requires the assumption that the population variance of the variable is known? Is it also not true that the Lilliefors is not a test of normality as such, but is rather a correction of the p-value for the Kolmogorov Smirnov test? Thanks, Maurice Haynes National Institute of Child Health and Human Development Child and Family Research Section 6705 Rockledge Drive Bethesda, MD 20892 Voice: 301-496-8180 Fax: 301-496-2766 E-Mail: mh192j at nih.gov | -----Original Message----- | From: kjetil at entelnet.bo [mailto:kjetil at entelnet.bo] | Sent: Friday, October 17, 2003 3:33 PM | To: R HELP; Martina Pavlicova | Subject: Re: [R] Lilliefors Test | | | On 17 Oct 2003 at 13:59, Martina Pavlicova wrote: | | There is shapiro.test in package ctest, which have much better power | properties than Lillefors test. So there is no need to have | Lilliefors test in R, except for archeological interest. | | Kjetil Halvorsen | | > | > Hello everybody, | > | > I would like to perform a test for normality (without specifying the | > mean a variance) on the sample data (80 observations). I found that | > Lilliefors test is appropriate. Does anybody have it | programmed already, | > or is there a function for this test in R? | > | > Thank you very much, | > | > Martina Pavlicova | > | -------------------------------------------------------------- | ------------ | > Department of Statistics Office Phone: (614) 292-1567 | > 1958 Neil Avenue, 304E Cockins Hall FAX: (614) 292-2096 | > The Ohio State University E-mail: | pavlicov at stat.ohio-state.edu | > Columbus, OH 43210-1247 | www.stat.ohio-state.edu/~pavlicov | > | > ______________________________________________ | > R-help at stat.math.ethz.ch mailing list | > https://www.stat.math.ethz.ch/mailman/listinfo/r-help | | ______________________________________________ | R-help at stat.math.ethz.ch mailing list | https://www.stat.math.ethz.ch/mailman/listinfo/r-help |
On 20 Oct 2003 at 7:35, Haynes, Maurice (NIH/NICHD) wrote:> Is it not true that the Shapiro Wilks test implemented in the package > ctest requires the assumption that the population variance of the > variable is known?AFAIK, there is not. And there is no such argument to shapiro.test, so if this was a requirement for the correctness of shapiro.test, the implementation in ctest is wrong, which I doubt. Furthermore, from my limited reading about the Shapiro-Wilk test there is no reason to beleave this is a requirement.> > Is it also not true that the Lilliefors is not a test of normality > as such, but is rather a correction of the p-value for the > Kolmogorov Smirnov test?Well, yes, but it is still a (bad) test of normality, isnt it? Kjetil Halvorsen> > Thanks, > > Maurice Haynes > National Institute of Child Health and Human Development > Child and Family Research Section > 6705 Rockledge Drive > Bethesda, MD 20892 > Voice: 301-496-8180 > Fax: 301-496-2766 > E-Mail: mh192j at nih.gov > > > > | -----Original Message----- > | From: kjetil at entelnet.bo [mailto:kjetil at entelnet.bo] > | Sent: Friday, October 17, 2003 3:33 PM > | To: R HELP; Martina Pavlicova > | Subject: Re: [R] Lilliefors Test > | > | > | On 17 Oct 2003 at 13:59, Martina Pavlicova wrote: > | > | There is shapiro.test in package ctest, which have much better power > | properties than Lillefors test. So there is no need to have > | Lilliefors test in R, except for archeological interest. > | > | Kjetil Halvorsen > | > | > > | > Hello everybody, > | > > | > I would like to perform a test for normality (without specifying the > | > mean a variance) on the sample data (80 observations). I found that > | > Lilliefors test is appropriate. Does anybody have it > | programmed already, > | > or is there a function for this test in R? > | > > | > Thank you very much, > | > > | > Martina Pavlicova > | > > | -------------------------------------------------------------- > | ------------ > | > Department of Statistics Office Phone: (614) 292-1567 > | > 1958 Neil Avenue, 304E Cockins Hall FAX: (614) 292-2096 > | > The Ohio State University E-mail: > | pavlicov at stat.ohio-state.edu > | > Columbus, OH 43210-1247 > | www.stat.ohio-state.edu/~pavlicov > | > > | > ______________________________________________ > | > R-help at stat.math.ethz.ch mailing list > | > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > | > | ______________________________________________ > | R-help at stat.math.ethz.ch mailing list > | https://www.stat.math.ethz.ch/mailman/listinfo/r-help > |