All Questions
Tagged with wilcoxon-signed-rank r
87
questions
2
votes
1
answer
207
views
what is the meaning of “One-sample test.”？The following is clearly a two-sample test for wilcox.test
The code that inspired this question can be found here and below:
...
- 19
2
votes
1
answer
247
views
Kruskal-Wallis Test shows significance, but Pairwise Wilcoxon Rank Sum Test does not
I used the following code to perform a Kruskal-Wallis test on a dataset, which gave me a significant p-value (5.159e-06).
However, when I then use pairwise.wilcox.test() to perform a Pairwise Wilcoxon ...
0
votes
0
answers
149
views
Wilcoxon sign rank test in R does not match with GraphPad Prism
I am comparing several combinations of two columns of non-normally distributed paired data:
I used R with the following syntax:
wilcox.test(x, y, paired=T)
I tried to replicate this test in GraphPad ...
- 1
1
vote
1
answer
411
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Paired sign and Wilcoxon tests with weighting
In R, I am using the survey package (inverse probability weighting) to conduct these tests on paired data:
Weighted Wilcoxon Signed Rank test
Weighted Sign test
However, I am struggling in doing ...
- 63
3
votes
1
answer
201
views
Why is the pseudomedian better than the median in a Wilcoxon test?
The wilcox.test function in R calculates the pseudomedian and a confidence interval when conf.int=TRUE.
In this question, ...
- 157
0
votes
1
answer
66
views
Comparing standardised values of microbial colony perimeters
I’m having a statistical problem (a rather major one) and I was wondering if you could help. I’m researching microbial chemotaxis and analysing colony perimeters by scanning their fluorescence. ...
2
votes
2
answers
45
views
Why is p value different in same hypothesis? [closed]
wilcox.test(weight ~ group, data = my_data, paired = TRUE)
wilcox.test(weight , group, data = my_data, paired = TRUE)
can anyone specify the difference to me ...
- 31
0
votes
0
answers
56
views
0
votes
1
answer
539
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Calculating effect size of wilcoxon test after correction for multiple comparisons using R
I am trying to compare two amino acid concentrations after two treatment variations. The data is not normal distributed, so I have to use non-parametric tests. I calculated the adjusted p values, but ...
- 1
3
votes
1
answer
175
views
Independence assumption of non-parametric tests (Mann-Whitney & Wilcoxon Signed rank)
I'm interested in testing (one at a time) these two hypotheses using the...
Mann-Whitney U test.
H0: The probability that an observation in Group1 is greater than an observation in Group2 is 0.50
But ...
- 1,653
3
votes
1
answer
939
views
Why is the upper bound of the 95% CI infinity when using a one sample wilcoxon?
I've been calculating 95% confidence intervals around the psuedomedian in a one sample wilcoxon signed rank tests, with a "greater" alternative and the mu = 0. That is, I have been exploring ...
- 41
1
vote
4
answers
131
views
Business use cases for Wilcoxon signed-rank test
The Wilcoxon signed-rank test is generally used for non-parametric data (i.e. not normally distributed). When the sample gets large, the data will be approximately normally distributed. Therefore ...
- 11
9
votes
1
answer
478
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If the difference of scores is normally distributed, the sample distributions don't matter in a paired t-test, right?
I have a very straight-forward question:
If the difference of scores is normally distributed, the sample distributions don't matter in a paired t-test, right?
Therefore, If the samples are not ...
- 781
1
vote
0
answers
490
views
paired Wilcoxon rank test but with 3 groups
What is the statistical test I should use if I want to run a paired sample Wilcoxon’s signed rank test but I have three groups to compare instead of two?
4
votes
1
answer
770
views
Determining direction of effect in Wilcoxon Test and interpreting pseudomedian in R
I originally posted this on Stack Overflow (https://stackoverflow.com/questions/72649894/determining-direction-of-effect-in-wilcox-test-and-interpreting-pseudomedian), but I realized it fits better ...
- 61