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How can I perform a Student-Newman-Keuls-Test for multiple comparision of means in R? (I did not manage to find any specific function in the libraries) Jörg Peter Baresel Technische Universität München Institut für Ackerbau und INformatik im Pflanzenbau D-85354 Freising Lange Point 51 [[alternative HTML version deleted]]

hello, I need to groupe some means and I wonder how to do to get critical range table for tukey or for Neuman-Keuls I think it's possible to do that with the qtukey() function? thanks. _____________________________________________________________________________ [[alternative HTML version deleted]]

hello, I have programmed this function to calculate the Neuman-Keuls test but I have a problem the function return an empty list and I don't know why. summary(fm1) E <- sqrt((summary(fm1)[[1]]["Residuals","Mean Sq"])/length(LR)) lst <- list() lst1 <- list() lst2 <- list() NK <- function (x) { if (length(x) == 2) { Tstudent...

Hello everyone, Like a lot of people, I have been looking for functions in R doing ANOVA (ok) and performing multicomparisons (like Student-Newman-Keuls, etc.). As I have been a little bit disappointed, I have bee looking through the net for such "open source" softwares. I found one in: http://www.statpages.org/miller/openstat/OS4.html I have begun to use it, and it seems good and simple to understand (as for a non-specialist like me). S...

...OVA, repeated measures in ANOVA, or within subjects designs in R. Could anyone point us to any information concerning - univariate approach to repeated measures anova - multivariate approach to repeated measures anova - mixed designs - Greenhouse-Geisser epsilon correction - Newman-Keuls contrasts - LSR contrasts - Tukey contrasts - Scheffe contrasts Any help or comment appreciated. Since we are not in the mailing list yet, please cc your reply to volker.franz at tuebingen.mpg.de. Thanks, Volker -- ___________________________________________________________ Volk...

Hello ALL: I am looking for multiple comparison tests for ANOVA models. Does R have any of these? Fisher least significant difference test. Tukey henestly significant difference test. Newman - Keul test. Dunnett's test Scheffe test. Thank you, ANDREW -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in...

Jose - Before implementing SNK and Duncan's, you may want to be aware of some criticisms of these methods: >From Hsu (1996), "Newman-Keuls multiple range test is not a confident inequalities method and cannot be recommended." "Duncan's multiple range test is not a confident inequalities method and cannot be recommended either. In the words of Tukey (1991), Duncan's multiple range test was a 'distraction' in...

bonjour, je vous écris pour savoir si vous aviez trouver réponse pour l'écriture du test de Newman & Keuls sous R car j'en ai aussi besoin merci encore cordialement. --------------------------------- [[alternative HTML version deleted]]

Hello, I think that to apply the Neuman-Keuls test under R it's possible with the TukeyHSD function and I know that to do a Neuman-Keuls test I have to sort the means but I can't use the TukeyHSD function I don't understand how to do to apply this function to my data. In the R help they use the TukeyHSD function to a aov() do you...

Hello, I am interested in parametric multi comparison tests such as Dunnett, Duncan, Tukey, Newman-Keuls, Bonferonni, Scheffe, and non-parametric tests such as Kruskal-Wallis, and Mann-Whitney U. Are there packages that include most of these tests in each category? Many packages exist for an individual test but their outputs vary in great detail (test statistics, p-values, etc.) formats. It is desi...

Greetings all, I've done some ANOVAs and have found significant effects across my groups, so now I have to do some post-hoc tests to ascertain which of the groups is driving the significant effect. Usually one would do something like a Newman-Keuls or Scheffe test to get at this but based on googling and browsing through the r-help archives R doesn't support these and they seem to be badly received by the R community generally (for reasons related to alpha not being properly controlled, if I understand correctly). I found the TukeyHSD f...

...pens frequently). Is a function available that extracts multiple comparison of means from objects produced by "aov()" ? Sorry if the term is not correct, I translated from german word by word ("Multiple Mittelwertvergeiche"). What I mean are procedures like the Student-Newman-Keuls test or Scheffe test, that allow to test selected pairs of factor combinations after applying an ANOVA to a set of data. I'm somewhat surprised that this seems not to be a topic of discussion among R-users since great emphasis is put on these procedures in most (german) textbooks on applied...

...the S function 'varcomp' as described in W.N. Venables & B.D. Ripley's 'Modern Applied Statistics ...' for R; does something comparable exist for R, or is planned for future releases? More generally, are there libraries with post-anova test procedures, like Student-Newman-Keuls? Or do those of you who frequently use anova for testing experimental results the necessary tests "by hand"? I would be interested in information about such packages, as well as about literature recommendations if you think I should learn more about anova and R before asking silly questi...

...pens frequently). Is a function available that extracts multiple comparison of means from objects produced by "aov()" ? Sorry if the term is not correct, I translated from german word by word ("Multiple Mittelwertvergeiche"). What I mean are procedures like the Student-Newman-Keuls test or Scheffe test, that allow to test selected pairs of factor combinations after applying an ANOVA to a set of data. I'm somewhat surprised that this seems not to be a topic of discussion among R-users since great emphasis is put on these procedures in most (german) textbooks on applied...

...valence between the tests proposed ("Sequen", "AVE", "Changepoint", "Williams", "Marcus", "McDermott") and the tests agronomist are used to do: LSD (least significant difference), Duncan multiple range test, Scheffe, S-N-K (Student-Newman-Keuls)? Thanks a lot for your interest. Jorge Lampurlan?s Agronomist >> Is it possible to do this analysis in R? > > Yes, it is possible. The syntax isn't in place yet. > > If you send me the complete SAS code and data for an example using slice, > I will duplicate it for...

See library(multcomp) and ?glht ?contrMat for several procedures for multiple comparisons. The Newman Keuls test is not on the list. The related Tukey method is on the list.

...nd fixed/random factors, as described by Underwood (1997). There are two restrictions: (i) data must be balanced; (ii) fixed nested factors are not allowed. Homogeneity of variances is checked using Cochran's C test and "a posteriori" comparisons of means are done using Student-Newman-Keuls (SNK) procedure. Best, Maur?cio G. Camargo

Hi, I'm trying to make sense of the options for multiple comparisons options in R. I've found the following options: pairwise.t.test, which provides standard t-tests, with options for choosing an appropriate correction for multiple comparisons TukeyHSD, which provides the usual Tukey test glht(package multcomp), which provides a variety of options >From the help list, it appears

In the model: lm.1 <- lm(variable ~ BLOC + TIL * YEAR , data=selvanera) I found TIL*YEAR interaction significant. Then I am trying to compare means of the different levels of TIL inside every YEAR using: mc.2 <- glht(lm.1, linfct = mcp(TIL*YEAR="Tukey")) summary(mc.2, test = univariate()) but it does not work. There is any way of doing this, like the SLICE option in

I am embarrassed to have to ask this but can anyone tell me of a Tukey multiple comparisons procedure available for R? I have looked through the search page, through the FAQ, and in the index of V&R (1999), and I still can't find such a thing. I see there is a ptukey function and a qtukey function but that is as far as I got. Do I need to roll my own? -- Douglas Bates