Displaying 20 results from an estimated 1000 matches similar to: "Multiple Comparisons-Kruskal-Wallis-Test: kruskal{agricolae} and kruskalmc{pgirmess} don't yield the same results although they should do (?)"
2010 Feb 17
2
extract the data that match
Hi r-users,
I would like to extract the data that match. Attached is my data:
I'm interested in matchind the value in column 'intg' with value in column 'rand_no'
> cbind(z=z,intg=dd,rand_no = rr)
z intg rand_no
[1,] 0.00 0.000 0.001
[2,] 0.01 0.000 0.002
[3,] 0.02 0.000 0.002
[4,] 0.03 0.000 0.003
[5,] 0.04 0.000 0.003
[6,]
2003 Apr 24
1
write.table problem
Dear R helpers,
I have been using the loadings function from the multiv library and I
get the typical output (see below). When I try to export these results
to a file using a write.table() I get the following error message
"Error in as.data.frame.default(x[[i]], optional = TRUE) : can't coerce
loadings into a data.frame" Any idea why write.table is doing that and
any
2018 May 16
0
Systemfit
Sadly you failed to set your email program to send plain text and the data is corrupted at my end.
I also think you need to reduce the size of the data set... the intent here is to increase your understanding, not debug your particular analysis.
I will say that I am having a very challenging time understanding what you are trying to accomplish though. What are the equations that you think need
2013 Jul 05
1
kruskal.test followed by kruskalmc
Hi all,
After running kruskal.test I have got results (p<0,005) pointing to reject
the hypothesis that the samples were draw from the same population.
Howerver when I run the kruskalmc there are no significant differences in
any of the multiple comparisons. Is that possible? Some clarification?
Thanks, Humber
<https://sites.google.com/site/humberandrade>
[[alternative HTML version
2008 Jan 28
0
(no subject)
Hi all
I am trying to generate a normal unbalanced data to estimate the coefficients of LM, LMM, GLM, and GLMM and their standard errors. Also, I am trying to estimate the variance components and their standard errors. Further, I am trying to use the likelihood ratio test to test H0: sigma^2_b = 0 (random effects variance component), and the t-test to test H0:mu=0 (intercept of the model Yij = mu
2018 May 15
2
Systemfit
OK, Let's try this again! Here is the reproducible script; it is long because I had to copy the panel dataset here. My question is related to systemfit; I don't know how to get the result for the entire panel.
#Reproducible script
Empdata<- read.csv("/Users/ngwinuiazenui/Documents/UPLOADemp.csv")
View(Empdata)
install.packages("systemfit")
2012 Dec 15
3
kruskalmc, significant differences while median values are the same
Dear list!
I work with multiple Kruskal-Wallis test (kruskalmc, package pgirmess), which evaluates differences in medians among groups (5 groups). A result of a test is significant differences among some groups, while median values are the same for 4 groups (using tapply). Why?
p.s.: number of samples in groups vary from 50 to 4900.
Thanks to all, OV
.
2012 Jan 12
2
kruskal wallis post hoc?
Dear all,
I run a kruskal wallis test and found significant results. Then, I conducted all pairwise comparisons and found no significant results. Could anyone please give me a hint as to why this happens or redirect me towards a specific web page where I can find more info? (I used alpha=5% and made no bonferroni or other correction for the pairwise comparisons)
Thank you
Dr. Iasonas
2009 Jun 15
0
How to build phylogenetic tree by R program from distance any distance matrix
Hello R users,
Can any one please help me to find a way to build phylogenetic tree by R
program from any distance matrix.
Suppose I have a data like :
MATRIX
[1] '1' 0.0
[2] '2' 0.071 0.0
[3] '3' 0.036 0.286 0.0
[4] '4' 0.429 0.75 0.714 0.0
[5] '5' 0.679 0.179 0.214 0.536 0.0
[6] '6' 0.893 0.929 0.964 0.464 0.357 0.0
[7]
2008 Mar 08
1
ask for help on nonlinear fitting
I have a table like the following. I want to fit Cm to Vm like this:
Cm ~ Cl+Q1*b1*38.67*exp(-b1*(Vm-Vp1)*0.03867)/(1+exp(-b1*(Vm-Vp1)*0.03867))^2+Q2*b2*38.67*exp(-b2*(Vm-Vp2)*0.03867)/(1+exp(-b2*(Vm-Vp2)*0.03867))^2
I use nls, with start=list(Q1=2e-3, b1=1, Vp1=-25, Q2=3e-3, b2=1,
Vp2=200). But I always get 'singlular gradient' error like this. But
in SigmaPlot I can get the result. How
2007 Oct 26
1
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
2012 Jun 11
1
Kruskal Wallis Post hoc
Hi, I have searched and found a response to a question similar to mine but
when I tried the code, R says it's not an actual function so I thought I'd
ask here.
http://r.789695.n4.nabble.com/file/n4633035/Cookies.csv Cookies.csv
I have attached the data I am using. I am trying to look at two things: how
moisture content changes over time, and how it changes along the length of a
log
2010 Sep 01
0
kruskalmc
Hi, I would like to find out if the kruskalmc command in the pgirmess package controls for the family-wise type-I error rate.
Thank you
Dr. Iasonas Lamprianou
Assistant Professor (Educational Research and Evaluation)
Department of Education Sciences
European University-Cyprus
P.O. Box 22006
1516 Nicosia
Cyprus
Tel.: +357-22-713178
Fax: +357-22-590539
Honorary Research Fellow
Department of
2013 Jul 02
0
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
2014 Jan 20
3
Creación de un bucle con test Kruskal Wallis
Hola.
Llevo poco tiempo con R y estoy atascado en un problemilla, a ver si
podéis ayudarme. Estoy trabajando con una base de datos sobre personalidad
en diferentes especies de aves. Esta base tiene datos de más de 7000
individuos y me gustaría crear un bucle mediante el cual realizar un test
de Kruskal Wallis por cada especie (quiero ver si los comportamientos son
consistentes dentro de cada
2010 Oct 27
1
(no subject)
I am interested in using "multcompLetters" after running "kruskalmc" but
I'm a newbie and I'm not having luck figuring it out. I can run "kruskalmc" just fine,
but after studying the documentation for "multcompletters" for a long time,
I cannot figure out how to make it work. Any ideas? R input is below
>
>> #here is my data set
>>
2013 Apr 15
1
Kruskal-Wallis
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
2008 Oct 22
1
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
2003 Nov 21
2
kruskal wallis for manova?
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
2009 Sep 07
1
Equivalence of Mann-Whitney test and Kruskal-Wallis test with k=2
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]