All Questions
Tagged with nonparametric r
236
questions
0
votes
0
answers
79
views
Non-Parametric Two Way Within-Subjects ANOVA
I have a dataset with 4 individuals that are measured twice in each of the 5 groups (so in total 40 observations).
Subject
ID
Group
Value
1
1
A
45
1
2
A
62
1
1
B
70
1
2
B
37
...
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...
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4
2
...
2
votes
4
answers
465
views
I want to show by simulation that the Wilcoxon test is more robust than the Student test for non-normally distributed data
I want to test by simulation that the Wilcoxon test is more robust than the Student test for non-normally distributed data.
For example, I'm testing the ...
0
votes
0
answers
42
views
ACME Significant in Mediation analysis, but not Proportion Mediated and Fitting terminated with step failure warning
I am running a series of mediation analyses in R using the mediation package and the following code:
...
3
votes
1
answer
114
views
Nonparametric way to perform ANOVA of linear mixed model for small sample and power calculation
I have a small data where there are 3 groups (A,B,C) and 5 participants from each group. All of those participants are measured 6 times on each of 7 different exams, so each participant get 6*7=42 ...
0
votes
0
answers
39
views
Data is not normal, want to test for interaction too Any non-parametric test? [duplicate]
I have a sample size of $310$ individuals that comprises samples collected along the elevation gradient and at different times. I want to see how the variables differ along the elevation, and with ...
1
vote
1
answer
36
views
Estimate multivariate distribution with several variables on real data (continuous and categoricals) and sample from it
I have a complex dataset, collected through a survey, with both continuous (such as Age, Body mass index, etc..) and categorical variables (i.e. Gender, Education, etc..). I want to estimate their ...
1
vote
1
answer
56
views
Very small degrees of freedom when using yuen function in WRS2 package of R
I'm trying to run a number of independent samples t-tests. I'm using the yuen function in the WRS2 package because my data are non-normal and ordinal. My sample ...
0
votes
0
answers
64
views
Multivariate analysis for non-normal variables
Edit: I am trying to produce a model in R in order to analyze the relationship between several variables. I am looking at the relationship between behaviour and dispersal of a population. Each ...
0
votes
0
answers
72
views
Dunn test in R: comparison between levels of a single factor in a 2-factor experiment
For a 2-factor experiment, the TukeyHSD function in R (after a significant ANOVA) can calculate P values for the differences between levels of a single factor (basically, comparisons between the ...
1
vote
2
answers
2k
views
Non-parametric test for comparing means of 2 or more dependent variables in R?
I have a matched paired dataset (student survey before a topic was taught and student survey after the same topic was taught) where I compare the means of their answers (answers are given in Likert ...
1
vote
1
answer
398
views
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 ...
6
votes
1
answer
578
views
Alternative to Friedman Test in R
I am trying to run a Friedman Test in R with a repeated measure, however, my data do not qualify as an unreplicated complete block design. I am wondering what ...
1
vote
1
answer
256
views
Non parametric 2 way anova
In my dataset, there are two distinct species, each with three unique treatments. My objective is to investigate whether there are any significant differences among the various species and treatments. ...
1
vote
1
answer
156
views
How to use the argument stype in boot-package in R? [closed]
The stype argument in boot of R can take 3 values: "i" which is the default, "w" or "f".
What is ...
0
votes
0
answers
29
views
Calculating p value using Bootstrap in R for nonparametric test
Im trying to approximate the p. Value using bootstrap in R by boot function
But in the result is repeated i.e the values of t0 ….tn are the same so the p value is zero !!!!! I don’t understand why ...