I did a little google research because I found the question quite interesting, these tests have been mentioned: Nemenyi-Damico-Wolfe-Dunn test (link, there is an r-package for doing the test)Dwass-Steel-Chritchlow-Fligner (link, Conover WJ, Practical Nonparametric Statistics (3rd edition).Wiley 1999. Tukey Method for All Pairwise Comparisons. The Tukey pairwise comparisons suggest that all the means are different. Tukey's range test, also known as the Tukey's test, Tukey method, Tukey's honest significance test, or Tukey's HSD (honestly significant difference) test, is a single-step multiple comparison procedure and statistical test. Tukey pairwise comparison : ANOVA Six Sigma – iSixSigma › Forums › Old Forums › General › Tukey pairwise comparison : ANOVA This topic has 2 replies, 3 voices, and was last updated 13 years ago by Craig . (1982).

$$ : The confidence coefficient for the set, when all sample sizes are equal, is exactly \(1 - \alpha\). For unequal sample sizes, the confidence coefficient is greater than \(1 - \alpha\).

The uncertainty intervals, which we refer to as “multiple comparison intervals” or “MC intervals”, are derived from the pairwise comparison procedure using the best approximate procedure described by Hochberg et al. It can be used to find means that are significantly different from each other. 4. (You can report issue about the content on this page here) Want to share your content on R-bloggers? Tukey's method considers all possible pairwise differences of means at the same time: The Tukey method applies simultaneously to the set of all pairwise comparisons $$ \{ \mu_i - \mu_j \} \, . January 24, 2011. Tukey-Kramer method (Tukey, 1953; Kramer, 1956), proposed by Nakayama (2009). R Tutorial Series: One-Way ANOVA with Pairwise Comparisons.

I would also be grateful if someone could help with the methods for the pairwise comparison or post hoc test for a combined experiment in a statistical software. Levels 1,2,3 would have 1 vs 2, 1 vs 3, and 2 vs 3 for three comparisons). (I never want to be a walking stats encyclopedia either!)

If you have 3 or more levels for you factor, there are additional pairwise comparisons. click here if you have a blog, or here if you don't. Tukey test is a single-step multiple comparison procedure and statistical test. It allows to find means of a factor that are significantly different from each other, comparing all possible pairs of means with a t-test like method.Read more Tukey's method considers all possible pairwise differences of means at the same time: The Tukey method applies simultaneously to the set of all pairwise comparisons $$ \{ \mu_i - \mu_j \} \, . However, the methods here use an adjustment to account for the number of comparisons taking place. TUKEY(R1): returns an array with 3 columns and as many rows as there are pairwise comparisons (i.e. C(n,2) rows if the data in R1 contains n columns). As the name suggests, this is used for all pairwise contrasts τi - τj.

Minitab provides three adjustment choices. It is a post-hoc analysis, what means that it is used in conjunction with an ANOVA. By John Quick [This article was first published on R Tutorial Series, and kindly contributed to R-bloggers]. Tukey : comparer toutes les moyennes entre elles Neuman-Keuls : comparer les moyennes si on a une hypoth ese pr ecise sur l’ordre des moyennes Dunnett : comparer toutes les moyennes de groupes exp erimentaux a un (ou deux) groupes t emoins.