Combining humor with useful information is nice! Thank you for the advice Bert. I'll try it and see what happens. Are you aware of any free! (on the internet) alternatives to the book you have recommended? Academics are not, usually, known for their deep pockets! Thank you again for the suggestions
Dr. Iasonas Lamprianou Assistant Professor (Educational Research and Evaluation) Department of Education Sciences European University-Cyprus P.O. Box 22006 1516 Nicosia Cyprus Tel.: +357-22-713178 Fax: +357-22-590539 Honorary Research Fellow Department of Education The University of Manchester Oxford Road, Manchester M13 9PL, UK Tel. 0044 161 275 3485 iasonas.lampria...@manchester.ac.uk --- On Tue, 31/8/10, Bert Gunter <gunter.ber...@gene.com> wrote: From: Bert Gunter <gunter.ber...@gene.com> Subject: Re: [R] Brown-Forsythe test of equality of MEANS To: jlu...@ria.buffalo.edu Cc: "Iasonas Lamprianou" <lampria...@yahoo.com>, r-help@r-project.org, r-help-boun...@r-project.org Date: Tuesday, 31 August, 2010, 21:41 Learned Folks: Well, I've already advertised my ignorance about these matters, so I have nothing to lose by plunging ahead with further Questionable "advice." >From the references cited, Brown-Forsythe originated in the statistical >medieval age -- that is, prior to large scale, cheap computing (to be honest, >I have dim memories of it in BMD!). Then cameth Brad Efron and the >enlightenment: If you are concerned about the distribution of this -- or >indeed any reasonably smooth statistic (and some not so smooth: Hinkley - >Davison's Bootstrap book has details) -- then bootstrap it. That is, get a >confidence interval for the difference in means and see whether 0 falls within >(or whatever Null you wish to test). If you are concerned about robustness >(whatever that means in this context), well, gosheth! -- we have journeyed a >long way since the 1970's. Indeed, there are several packages (e.g. robust, >robustbase) with lots of robust alternatives. Most (maybe all?) of which can >be bootstrapped, of course. So walketh with thy computers, my brethren, and enter the great age of enlightenment. (Thus endeth the lesson. Caveat Emptor!) Cheers to all, Bert On Tue, Aug 31, 2010 at 12:26 PM, <jlu...@ria.buffalo.edu> wrote: The following reference that contains a short Fortran program for the Brown-Forsythe ANOVA Reed, James F., I. & Stark, D. B. Robust alternatives to traditional analyses of variance: Welch $W^*$, James $J_I^*$, James $J_II^*$, and Brown-Forsythe $BF^*$ Computer Methods and Programs in Biomedicine, 1988, 26, 233-238 Iasonas Lamprianou <lampria...@yahoo.com> Sent by: r-help-boun...@r-project.org 08/30/2010 04:05 PM To r-help@r-project.org cc Subject [R] Brown-Forsythe test of equality of MEANS Dear friends, two years ago (as I found on the web) Paul sent the following message but I was not able to find if he got an answer. Today I have the same question and it would be great if I could find out that this test has been implemented (somehow) in R. Please do not confuse it with the Brown-Forsythe test of equality of variances. Thank you: I've been searching around for a function for computing the Brown-Forsythe F* statistic which is a substitute for the normal ANOVA F statistic for when there are unequal variances, and when there is evidence of non-normality. A couple of other people have asked this question, the responses I found have been: ?oneway.test However, that function appears to use the Welch W statistic which, while good at handling unequal variances, is not as good as F* at handling non-normal distributions (or so my textbook tells me). So, two questions: 1. Is there a function ready to use for calculating the Brown-Forsythe F*? 2. If not, what do people use for checking the results of a (one-way) ANOVA when there is non-normality as well as non-constant variances? Thanks, Dr. Iasonas Lamprianou Assistant Professor (Educational Research and Evaluation) Department of Education Sciences European University-Cyprus P.O. Box 22006 1516 Nicosia Cyprus Tel.: +357-22-713178 Fax: +357-22-590539 Honorary Research Fellow Department of Education The University of Manchester Oxford Road, Manchester M13 9PL, UK Tel. 0044 161 275 3485 iasonas.lampria...@manchester.ac.uk ______________________________________________ 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. [[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.
