similar to: Nemenyi test for two way layout data.

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

Dear all, I've discovered the possibility to do the Nemenyi-Damico-Wolfe-Dunn test in the library(coin); oneway_test() With the given example I am unfortunately not able to reproduce the test. What does trafo and contrMat mean? I have a dataframe with 176 elements in 7 classes. It may be a problem, that my model isn't balanced? In Class1 I happen to have 4 elements, while there are 90 in

Could somebody recommend some good nonparametric statistical inference textbooks for a beginner? And what are pros and cons of each book? Nonparametric statistical methods by Hollander seems to be more difficult for a beginner, but is great as a reference, right? Are there any books that are easier to learn than Hollander's? Also, I see some books in the wiki page. I don't find the

The note to 1004 says "fixed for 1.3.1" Uh. No. It ain't. The problem was more serious than guessed as even the simplest testing would show. For example, Example 5.4 in Hollander and Wolfe (Nonparametric Statistical, Methods, 2nd ed., Wiley, 1999, pp. 180-181) R Version 1.3.1 (SuSE Linux 7.1) > X <-

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

Apologies for cross-postings. ====================================== First announcement and call for papers ====================================== The 23rd European Meeting of Statisticians will be held at Funchal, capital of the Portuguese island of Madeira, from 13-18 August 2001, under the auspices of the European Regional Committee of the Bernoulli Society. For more information see the

This concerns the contributed package "concord". Sorry to bother you with it, but my attempt to contact the author/maintainer failed (see below). Perhaps you can forward it, or let me know where to send it. Regards, Rob Kushler ------------------------------------------------------ This is the Postfix program at host tak.itd.uts.edu.au. I'm sorry to have to inform you that

Dear Researchers, Sorry for this email but I am not a statistician, and for this I have this problem to understand. Thanks in Advance for help and suggestions. Gianni I have 21 classes (00, 01, 02, 04, ....,020) with different length. I did a kruskal wall test in R with the following code kruskal.test(m.class.l, m.class.length.lf) Kruskal-Wallis rank sum test data: m.class.l and

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, however I

Hi, I would need to extend the Friedman test to a replicated design. Currently the function: friedman.test(y, ...) only works for unreplicated designs. I found in Conover 1999 "Practical Nonparamteric statistics" an extension of the formula to my case. Nevertheless, other sources, like Sheskin 2000 "Parametric and Nonparametric statistical Procedures" and Daniel 1990

Dear all, I am conducting a full factorial analysis. I have one factor consisting in algorithms, which I consider my treatments, and another factor made of the problems I want to solve. For each problem I obtain a response variable which is stochastic. I replicate the measure of this response value 10 times. When I apply ANOVA the assumptions do not hold, hence I must rely on non parametric

Muchas gracias por la alternativa de utilizar la librería stringi, Carlos, no la conocía. On Fri, 31 Mar 2023 at 12:11, David Camilo Gomez Medina < dcgomezme en unal.edu.co> wrote: > Muchas gracias Carlos, lo que quiero hacer es lo siguiente: extraer el > texto que hay entre textura/s hasta el punto final. > Ejemplo: > *Moderadamente profundos, bien drenados, de textura franco

No sé si olvidé aclarar, pero quiero crear una lista para cada columna y así almacenar esos valores. On Wed, 18 Jan 2023 at 14:13, David Camilo Gomez Medina < dcgomezme en unal.edu.co> wrote: > Hola Carlos. > > Por ejemplo la segunda columna (16040050), quiero sumar todos los datos de > esa columna correspondientes al año 2000 (quiero relacionarlos con la > primera columna

There is a fairly new bug in wilcox.test in R-2.2.1 (stable). It wasn't there when I last taught nonparametrics in fall 2003. Line 86 of wilcox.test.R achieved.alpha<-2*psignrank(trunc(qu),n) It should be achieved.alpha<-2*psignrank(trunc(qu)-1,n) If you don't see why, decode the cookbook instructions p. 56 in Hollander and Wolfe (2nd ed.) or see

Hola Carlos. Por ejemplo la segunda columna (16040050), quiero sumar todos los datos de esa columna correspondientes al año 2000 (quiero relacionarlos con la primera columna donde está la fecha) y ese valor almacenarlo en una lista y así sucesivamente con los demás años y con las demás columnas. Tengo pensado una lista así: est_16040050 [[2000]] [1] 2.3 [[2001]] [1] 1.7 [[2002]] [1] 4.8

Muchas gracias Carlos, lo que quiero hacer es lo siguiente: extraer el texto que hay entre textura/s hasta el punto final. Ejemplo: *Moderadamente profundos, bien drenados, de textura franco arenosa a franco arcillo arenosa. Fertilidad natural media* Lo que quiero extraer sería: *franco arenosa a franco arcillo arenosa * Al final lo pude realizar de la siguiente manera: df <-

Emilio, muchas gracias. Tuve que rehacer el código para entender mejor todo, pero me sale el siguiente error: *Error in as.data.frame.default(x[[i]], optional = TRUE) : cannot coerce class ?structure("RasterLayer", package = "raster")? to a data.frame* El código es el siguiente: *for (i in 1:nrows_mt) { data_it_mt <-

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

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

Dear R users, A new package titled `np' is now available from CRAN. The package implements recently developed kernel methods that seamlessly handle the mix of continuous, unordered, and ordered factor datatypes often found in applied settings. The package also allows users to create their own nonparametric/semiparametric routines using high-level function calls (via the function npksum())