similar to: Multiple Comparison Kruskal-Wallis Test on a dataframe

Hello I have a data frame as below V1 V2 V3 V4 V5 V6 chr1 18884 C CAAAA 2 0 chr1 135419 TATACA T 2 0 chr1 332045 T TTG 0 2 chr1 453838 T TAC 2 0 chr1 567652 T TG 1 0 chr1 602541 TTTA T 2 0 on which I want to perform complex rearrangement such that: if V3 is a string >1 (i.e line 2) then I

Hi,? I have two big data set.? data _1 :? > dim(data_1) [1] 15820 5 > head(data_1) ? ?Chromosome ?????Start????????End????????Feature GroupA_3 1: ? ? ? ????????chr1 521369 ?750000 ????chr1-0001 ? ?????0.170 2: ? ? ? ????????chr1 750001 ?800000 ????chr1-0002 ? ????-0.086 3: ? ? ? ????????chr1 800001 ?850000 ????chr1-0003 ? ?????0.006 4: ? ? ? ????????chr1 850001 ?900000 ????chr1-0004 ?

Hi all, I am given the a data frame in which one of the columns has more information together- see column 4, peak_loc: chr start end peak_loc cluster_TC strand peak_TC 1 chr1 564620 564649 chr1:564644..564645,+ 94 + 10 2 chr1 565369 565404 chr1:565371..565372,+ 217 + 8 3 chr1 565463 565541 chr1:565480..565481,+ 1214 + 15 4 chr1

Hi all, In short: I'm running ddply on an admittedly (somehow) large data.frame (not that large). It runs fine until it finishes and gets to the "collating" part where all subsets of my data.frame have been summarized and they are being reassembled into the final summary data.frame (sorry, don't know the correct plyr terminology). During collation, my R workspace RAM usage goes

HI, Try this: dat1<- read.table(text=" ?V1,V2,V3,V4,V5,V6,V7 ?chr1,564563,564598,564588 564589,1336,+,134 ?chr1,564620,564649,564644 564645,94,+,10 ?chr1,565369,565404,565371 565372,217,+,8 ?chr1,565463,565541,565480 565481,1214,+,15 ?chr1,565653,565697,565662 565663,1031,+,28 ?chr1,565861,565922,565883 565884,316,+,12 ",sep=",",header=TRUE,stringsAsFactors=FALSE)

Hi Peter I have the following data frame with chromosome name, start and end positions: chrN start end 1 chr1 11122333 11122633 2 chr1 11122333 11122633 3 chr3 11122333 11122633 8 chr3 111273334 111273634 7 chr2 12122334 12122634 4 chr1 21122377 21122677 5 chr2 33122355 33122655 6 chr2 33122355 33122655 I would like to count the positions that have the same start and

Hi, I want to merge multiple chromosomal regions based on their common intersecting regions. I tried couple of things using while and if loops but did not work out. I would appreciate if anyone could provide me a small piece of code in R to get the intersection of following example: chr1: 100-150 chr1: 79-250 chr1: 100-175 chr1: 300-350 I want the intersection of all four regions as follow:

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

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 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

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

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

Dear all Is there any way of doing a Tukey HSD post-hoc test after a Kruskal- Wallis or Friedman rank sum test (in the ctest package)? Thanks in advance, Albertus Dr. Albertus J. Smit Department of Botany University of Cape Town Private Bag Rondebosch 7700 South Africa Tel. +27 21 689 3032

Hello, Is there like the kruskal wallis test in relation to ANOVA (no restrictions on normallity and variance homogenity) something (in R) for MANOVA? thanks -- Dr.Nicolaas Busscher Universit?t GH Kassel Nordbahnhofstrasse: 1a, D-37213 Witzenhausen Phone: 0049-(0)5542-98-1715, Fax: 0049-(0)5542-98-1713

Hi, I was wondering if it was possible to do the "Scheirer-Ray-Hare" extension of the Kruskal-Wallis test using R, or if it was possible to use some other non-parametric test for the following situation: I have continuous data that is grouped by 2 factor variables. I would like a non-parametric test because the group variances are not equal. I would like to look for the effects of

Hi all, The Kruskal-Wallis test is a generalization of the two-sample Mann-Whitney test to *k* samples. That being the case, the Kruskal-Wallis test with *k*=2 should give an identical p-value to the Mann-Whitney test, should it not? x1<-c(1:5) x2<-c(6,8,9,11) a<-wilcox.test(x1,x2,paired=FALSE) b<-kruskal.test(list(x1,x2),paired=FALSE) a$p.value [1] 0.01587302 b$p.value [1]

Hello All, I want "Ranks' Table in R as like in SPSS ouput in the given link. http://www.statisticssolutions.com/methods-chapter/statistical-tests/kruskal-wallis-test/ Is the code is already available? Please let me know. Thanks, Lawrence

Hi, I have got two groups of samples; and for every row, I wish to calculate Kruskal-Wallis' p-value. In the example below, and the stars (****) show where I am struggling to design and put things together. Any help would be appreciated. myFile <- data.frame(Sample_1a = 1:10, Sample_1b = 2:11, Sample_1c = 3:12, Sample_2a=4:13, Sample_2b=7:16, row.names=LETTERS[1:10]) groups <- rep

Hi,     I want to use segChrom() method in tilingArray package. For that I need to create a probeAnno object. I could not find much much info by ?probeAnno. I need help in creating  probeAnno object. Snap shot of the file(.txt): chr1 2500014 2500038 + 0.232689943122845 chr1 2500039 2500063 + 2.60502410304227 chr1 2500062 2500086 + 0.0756595313279895 chr1 2500080 2500104 + 0.78574617788405 chr1