search for: hoc

Hi, I was trying to figure out how to do post-hoc tests for Two Way ANOVAs and found the following 2 approaches: a. Do pairwise t-tests (bonferroni corrected) if one finds significance with the ANOVA. Link- http://rtutorialseries.blogspot.com/2011/01/r-tutorial-series-two-way-anova-with.html b. Do TukeyHSD on an aov model Link- http://www.r-bl...

I remember reading about post hoc statistical power on R-help. But I can't seem to find them with RSiteSearch("post hoc statistical power") and variations of it. I would like to learn more about post hoc statistical power, its meaningfulness, advantages and disadvantages. I thought the issue was settled after Tukey...

I have R version 2.11.1 I am able to run a Friedman.test, but cant do further post.hoc test. Tried running "friedman.test.with.post.hoc"etc It comes with "Error: object 'friedman.test.with.post.hoc' not found" This is after loading the packages "coin" and "multcomp" Could anyone please send in any suggestions how to ratify? -- View...

Hi * i've done my anova anlysis but now i need post-hoc test, are these included in R ? I've a Big problem, working with people that don't like to use command-line software (but prefer something like openoffice) does someone is trying to do a usable GUI for R ? i'm reading something on R commander SciView and others but all seem to be beta....

I'm using lm to run an ANOVA, and would like to use Ryan's Q as my post-hoc (as recommended by Day and Quinn, 1989, Ecological Monographs). I can't seem to find any methods in the base stats package that implement this post-hoc. Is there a good package of post-hoc methods out there, or has someone written a method for Ryan's Q previously? Thanks! -Jarrett

Hi, Does anybody have an idea on how to realise ad-hoc conferencing with Asterisk ? Although Asterisk MeetMe and maybe a procedure with Call Holding could somehow come close to ad-hoc conferencing, it doesn't seem to be the right way to do it. Any experience with ad-hoc conferencing using SIP in general as well as with Asterisk? Thanks, Joerg

Dear R users, I would like to know if there is a way in R to execute a post-hoc test (factor levels comparison, like Tukey for ANOVA) of a non-parametric analysis of variance with kruskal.test() function. I am comparing three different groups. The preliminary analysis using the kruskal-wallis-test show significance, but I still don''t know the relationship and the sign...

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

Hi all, I analysed my data with lme and after that I spent a lot of time for mean separation of treatments (post hoc). But still I couldn’t make through it. This is my data set and R scripts I tried. replication fertilizer variety plot height 1 level1 var1 1504 52 1 level1 var3 1506 59 1 level1 var4 1509 54 1 level1 var2 1510 48 2 level1 var1 2604 47 2 level1 var4 2606 51 2 level1 var3 2607 55 2 level1...

Hi all, I'm a potential new user of R and have to know this before I start using it: SPSS does not let you do a Post Hoc analysis on repeated measures data. This is a problem for me, since that is what I will have to do. Will R let me do this? /Fredrik -- ----------------------------------------------------------------- Fredrik Karlsson, Research Student Department of Philosophy and Linguistics Ume? University...

...ions. Because the 'Days' has 4 levels, I performed a Kruskal-Wallis (kruskal.test) and got significant results. Same for comparing 'Cookie'. Neither of these have only 2 levels so significance here doesn't really explain it in depth....but everything I'm finding for post hoc with a KW says Mann Whitney. But when I try this (wilcox.test) in R it doesn't work - bc it should only have 2 levels. Can I simply run a tukeyHSD to see differences between levels? -- View this message in context: http://r.789695.n4.nabble.com/Kruskal-Wallis-Post-hoc-tp4633035.html Sent fro...

This is only partly an R question, but this seems a good place to ask. Like many, if not most, statistics programs, R has no post hoc tests for Kruskal Wallis or Friedman, and as far as I can make out they are not available in any of the R packages. I would be grateful if someone could point me in the right direction if I am wrong. As I said this is not uncommon. Parametric Anova procedures almost always, if not always, come...

Is there code in R to automatically assign letters to different groups that are found to be statistically significant using a post-hoc test following an ANOVA? For example, let's say I found that relative rates of tree growth were statistically significant between tree species using an ANOVA and then I ran a TukeyHSD post-hoc test to determine which species were statistically different from one another. I can manuall...

Hi R-helpers, TukeyHSD() works for models fitted with aov(), but could anyone point me to a function that performs a similar post hoc test for models fitted with lm() or glm()? Thanks in advance, Mark

Hi Folks, I have been using the TukeyHSD to conduct post hoc comparisons. The challenge is I have two interacting factors, one of which has 6 levels (cover types), and the other 2 (study areas). As a result interpreting the post hoc comparisons is difficult when you get a list of every possible combination (66 of them). In grad school I was using SAS an...

Hi, I have a fairly simple repeated measures-type data set I've been attempting to analyze using the lme function in the nlme package. Repeated searches here and other places lead me to believe I have specified my model correctly. However, I am having trouble with post-hoc tests. From what I gather, other people are successfully using the glht function from the multcomp package to perform post-hoc tests. I've tried multiple iterations, but can't seem to get it to work. Here is (a subset of) what I have been trying. Any help would be greatly appreciated:...

Hi R helpers! I have used a glht as a post-hoc test on an lmer with: -2 treatments (A & B) -1 categorical explanatory variable (song type) -1 response variable (latency to respond) I wanted to make comparisons between the categorical variables depending on treatment. At the moment the glht simply returns comparisons of each of the (3) cat...

Hi list, I would like to know if there is a way in R to execute a post-hoc test (factor levels comparison, like Tukey for ANOVA) of a non-parametric analysis of variance (kruskal.test() function object). I was looking for something like the Dunn Test. I’ve searched the internet but nothing seemed to define a way to it. Do You have any suggestion? Other equivalent test...

...2 0.08191 3.762 0.000215 *** sexcolorSpotted females 0.18642 0.08018 2.325 0.020948 * log(tl) 3.42331 0.11608 29.490 < 2e-16 *** --- Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1 Is there any way to do post hoc test for categorical variables in the parametric part of the model? I mean, levels for sexcolor are being compared with the reference level ("Plain males"), so I see that "Spotted males", for example, are not different from "Plain males", whereas females (both Plain a...

Hello, I am trying to determine the most appropriate way to run post-hoc comparisons on my lme model. I had originally planned to use Tukey HSD method as I am interested in all possible comparisons between my treatment levels. TukeyHSD, however, does not work with lme. The only other code that I was able to find, and which also seems to be widely used, is g...