Re: [R] TukeyHSDs function (pgirmess package)
Sorry to have been so poorly reactive. I have been abroad for ten days and then bogged down with administration for the week when back, so totally unproductive!!! The bug is now fixed in the last release of pgirmess (1.2.6) on its way to CRAN and also available on the pgirmess web site (http://perso.wanadoo.fr/giraudoux/SiteGiraudoux.html). Kind regards, Patrick __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] TukeyHSDs function (pgirmess package)
Dear R-help, I have been trying to use the TukeyHSDs function in the pgirmess package to quickly extract all significant pairwise comparisons in an aov object. However, it seems that this function isn't working as intended when only the two last populations means being tested are significant. An example of this can be seen below: numbers-c(464,482,453,434,495,487) group-gl(3,2,label=c(A,B,C)) testobject-aov(numbers~group) result-TukeyHSD(testobject,conf.level=0.95) error-TukeyHSDs(result) error$group[,1] Error in error$group[, 1] : incorrect number of dimensions To illustrate the normal function, the data set below can be used. numbers-c(845,829,682, 689,581,495) Is there something wrong with this function? Or is there a better way to extract significant comparisons from a tukey test? Cheers, Rune --- Rune Vejen Petersen, M.Sc.Eng. Statens Serum Institute Dept. of Infectious Disease Immunology Artillerivej 5, 81/344 DK-2300 Copenhagen [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] TukeyHSDs function (pgirmess package)
Rune Vejen Petersen wrote: Dear R-help, I have been trying to use the TukeyHSDs function in the pgirmess package to quickly extract all significant pairwise comparisons in an aov object. However, it seems that this function isn't working as intended when only the two last populations means being tested are significant. An example of this can be seen below: numbers-c(464,482,453,434,495,487) group-gl(3,2,label=c(A,B,C)) testobject-aov(numbers~group) result-TukeyHSD(testobject,conf.level=0.95) error-TukeyHSDs(result) error$group[,1] Error in error$group[, 1] : incorrect number of dimensions To illustrate the normal function, the data set below can be used. numbers-c(845,829,682, 689,581,495) Is there something wrong with this function? Or is there a better way to extract significant comparisons from a tukey test? It looks like the line res[[1]] - x[y, ] in TukeyHSDs() should be replaced with res[[1]] - x[y, , drop = FALSE] Peter Ehlers Cheers, Rune --- Rune Vejen Petersen, M.Sc.Eng. Statens Serum Institute Dept. of Infectious Disease Immunology Artillerivej 5, 81/344 DK-2300 Copenhagen [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
