similar to: Nemenyi test as a post-hoc test to Kruskal Wallis

Displaying 20 results from an estimated 248 matches similar to: "Nemenyi test as a post-hoc test to Kruskal Wallis"

2012 Jan 09
Unexpected results using the oneway_test in the coin package
Dear fellow R users, Keywords: Kruskal-Wallis, Post-Hoc, pair-wise comparisons, Nemenyi-Damico-Wolfe-Dunn test, coin package, oneway_test I am using the "oneway_test" function in the R package "coin" and I am obtaining results which I cannot believe are accurate. I do not wish to waste anyone''s time and so if the following problem is rather trivial, I apologize,
2008 Mar 06
kruskal wallis post hoc test in R
Hello, I need nemenyi-test or any other post-hoc test for kruskal-wallis, but I just can''t find out how to implement this in R. My data set is nitrite concentrations in four different groups which I intend to compare. The kruskal-wallis-test showed significance, but I still don''t know between which groups these significances are. Can anybody help me with this? Thanks
2005 May 02
Nonparametric Tukey-type multiple comparisons "Nemenyi" test
I am trying to do a Nonparametric Tukey-type multiple comparison post-hoc test to determine which groups are significantly different. I have read the dialogue on this topic from the R-help, and am still not clear why no statistical packages include this test as an option? Is it not an appropriate test to conduct on non-normally distributed data? Is the only option to calculate it by hand
2007 Oct 26
Post-hoc test for Kruskal-Wallis
Hi there, I''ve got a small question : is there any post-hoc test for Kruskal rank sum test integrated in R ? I know that the Nemenyi test is one of the post-hoc that can be used, but there''s no (to by knowledge) R function for it. What should I do ? Thanks, Etienne
2009 Mar 30
Kruskal-Wallis-test: Posthoc-test?
Hello. We have some questions concerning the statistical analysis of a dataset. We aim to compare the sample means of more than 2 independent samples; the sample sizes are unbalanced. The requirements of normality distribution and variance homogeneity were not met even after transforming the data. Thus we applied a nonparametric test: the Kruskal-Wallis-test (H-Test). The null hypothesis was
2006 Nov 07
Nemenyi test for two way layout data.
I am trying to do a Nonparametric Nemenyi test for multiple comparison in a two way layout data because I need to know the exact distribution. I don?t know if this test is in the R software. I just found a Nemenyi test for a one way design. But in Hollander book the Nemenyi test is in page 253 for to way layout data. Thank you for your help.
2010 Apr 22
Jonckheere-Terpstra test using coin package?
Is it possible to implement the Jonckheere-Terpstra test for ordered alternatives using the coin package: Conditional Inference Procedures in a Permutation Test Framework? I found jonckheere.test{clinfun}, but it uses a normal approximation when ties are present in the data. To make this concrete, I''ve include a small dataset. Thanks. --Dale Hollander and Wolfe, 1999 Table 6.6, pg
2008 Mar 10
question for aov and kruskal
Hi R users! I have the following problem: how appropriate is my aov model under the violation of anova assumptions? Example: a<-c(1,1,1,1,1,1,1,1,1,1,2,2,2,3,3,3,3,3,3,3) b<-c(101,1010,200,300,400, 202, 121, 234, 55,555,66,76,88,34,239, 30, 40, 50,50,60) z<-data.frame(a, b) fligner.test(z$b, factor(z$a)) aov(z$b~factor(z$a))->ll TukeyHSD(ll) Now from the aov i found that my model
2007 Apr 10
When to use quasipoisson instead of poisson family
It seems that MASS suggest to judge on the basis of sum(residuals(mode,type="pearson"))/df.residual(mode). My question: Is there any rule of thumb of the cutpoiont value? The paper "On the Use of Corrections for Overdispersion" suggests overdispersion exists if the deviance is at least twice the number of degrees of freedom. Are there any further hints? Thanks. --
2008 Oct 22
Saving kruskal wallis p-values
Hi everyone, I am working on analyzing spectra which requires hundreds of kruskal wallis tests to be performed. Once significant results are found post tests are performed ect. My questions are: how do I perform all these kw tests and save just the pvalues in a table? Is there anyway to have R automatically perform post tests if a result of p<0.05 is found? Currently when I run the test
2013 Jul 02
Multiple Comparison Kruskal-Wallis Test on a dataframe
Hi I have a dataframe of genomic positions something like below: chr start end strand 1a 2a 3a 1b 2b 3b 1c 2c 3c 1d 2d 3d chr1 201199522 201199523 - 51 62 63 46 53 58 53 78 37 27 65 62 chr1 201199584 201199585 - 42 49 35 54 62 55 43 56 26 21 64 63 chr1 201199603
2008 Feb 07
Kruskal-Wallis with binary data
Dear All, I need to compare 4 groups of binary data having different sample sizes and would like to know if the non parametric Kruskal-Wallis test (kruskal.test) can be used for this purpose or not. Many Thanks, GK
2007 Nov 23
multiple comparisons/tukey kramer
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
2006 Apr 27
Looking for an unequal variances equivalent of the Kruskal Wallis nonparametric one way ANOVA
Well fellow R users, I throw myself on your mercy. Help me, the unworthy, satisfy my employer, the ungrateful. My feeble ramblings follow... I''ve searched R-Help, the R Website and done a GOOGLE without success for a one way ANOVA procedure to analyse data that are both non-normal in nature and which exhibit unequal variances and unequal sample sizes across the 4 treatment levels. My
2005 Aug 28
stratified Wilcoxon available?
Dear All, is there a stratified version of the Wilcoxon test (also known as van Elteren test) available in R? I could find it in the survdiff function of the survival package for censored data. I think, it should be possible to use this function creating a dummy censoring indicator and setting it to not censored, but may be there is a better way to perform the test. Thanks, Heinz T??chler
2009 Jul 30
Testing year effect in lm() ***failed first time, sending again
Dear R-helpers, I have a linear model with a year effect (year is coded as a factor), i.e. the parameter estimates for each level of my year variable have significant P values (see some output below) and I am interested in testing: a) the overall effect of year; b) the significance of each year vis-a-vis every other year (the model output only tests each year against the baseline year).
2011 Jul 22
Recoding Multiple Variables in a Data Frame in One Step
Hi, I can''t for the life of me find how to do this in base R, but I''d be surprised if it''s not possible. I''m just trying to replace multiple columns at once in a data frame. #load example data data(api) #this displays the three columns and eight rows i''d like to replace apiclus1[ apiclus1$meals > 98 , c( "pcttest" , "api00" ,
2010 Dec 10
Could concurrent R sessions mix up variables?
Hi, I''m working in R 2.11.1 x64 on Windows x86_64-pc-mingw32. I''m experiencing a strange problem in R that I''m not even sure how to begin to fix. I''ve got a huge (forty-pages printed) simulation written in R that I''d like to run multiple times. When I open up R and run it on its own, it works fine. At the beginning of the program, there''s a
2010 Dec 02
Tukey Test, lme, error: less than two groups
Dear R-group, I am trying desperately to get this Tukey test working. Its my first time here so I hope my question is not too stupid, but I couldn''t find anything helpful in the help or in the forum. I am analysing a dataset of treated grasses. I want to find out, if the grasses from different Provenances react differently. In the aov test I found a significance for the combination
2013 Oct 12
export glht to LaTeX
Hi, I want to export the result of glht in R into a LaTeX table, such as that result: Linear Hypotheses: Estimate Std. Error z value Pr(>|z|) Group1 - Group2 == 0 -0.14007 0.01589 -8.813 <0.001 "***" Group1 - Group3 == 0 -0.09396 0.01575 -5.965 <0.001 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05