All Questions
Tagged with nonparametric r
41
questions
29
votes
1
answer
57k
views
What is the non-parametric equivalent of a two-way ANOVA that can include interactions?
Hi I am trying to find the non-parametric equivalent of a two-way ANOVA (3x4 design) which is capable of including interactions. From my reading in Zar 1984 "Biostatistical analysis" this is possible ...
- 291
63
votes
7
answers
54k
views
Which permutation test implementation in R to use instead of t-tests (paired and non-paired)?
I have data from an experiment that I analyzed using t-tests. The dependent variable is interval scaled and the data are either unpaired (i.e., 2 groups) or paired (i.e., within-subjects).
E.g. (...
- 14.3k
19
votes
3
answers
18k
views
A non-parametric repeated-measures multi-way Anova in R?
The following question is one of those holy grails for me for some time now, I hope someone might be able to offer a good advice.
I wish to perform a non-parametric repeated measures multiway anova ...
- 21.8k
6
votes
1
answer
2k
views
Plotting non-parametric (E)CDF confidence envelopes for comparison
I have previously asked about a way to test whether two samples are drawn from the same distribution (Non-parametric test if two samples are drawn from the same distribution). I was very glad to learn ...
- 467
23
votes
2
answers
22k
views
Power analysis for Kruskal-Wallis or Mann-Whitney U test using R?
Is it possible to perform a power analysis for the Kruskal-Wallis and Mann-Whitney U test? If yes, are there any R packages/functions that perform it?
- 3,692
15
votes
1
answer
10k
views
Is there an alternative to the Kolmogorov-Smirnov test for tied data with correction?
I've got a bunch of data from two samples (control and treated), each containing several thousand values which are to undergo significance testing in R. Theoretically, the values should be continuous, ...
- 275
13
votes
1
answer
12k
views
Friedman test vs Wilcoxon test
I'm trying to assess performance of a supervised machine learning classification algorithm. The observations fall into nominal classes (2 for the time being, however I'd like to generalize this to ...
- 233
9
votes
2
answers
7k
views
Permutation test in R
I have the following data for 10 subjects based on before and after measurements:
...
- 93
7
votes
2
answers
28k
views
Nonparametric equivalent of ANCOVA for continuous dependent variables
I have an independent categorical variable ($X$ with two categories, $x_{1}$ and $x_{2}$) and two continuous dependent variables ($y$ and $z$).
Using a Mann Whitney test, I know that $y$ is ...
- 417
28
votes
2
answers
19k
views
Non-parametric test if two samples are drawn from the same distribution
I would like to test the hypothesis that two samples are drawn from the same population, without making any assumptions about the distributions of the samples or the population. How should I do this?
...
- 467
19
votes
2
answers
40k
views
How to run two-way ANOVA on data with neither normality nor equality of variance in R?
I am working on my master thesis at the moment and planned on running the statistics with SigmaPlot. However, after spending some time with my data I came to the conclusion that SigmaPlot might not be ...
- 191
7
votes
1
answer
3k
views
bootstrapping a linear mixed model with R's lmeresampler or lme4 or a robust regression?
considering that I have a very small sample and that my residuals are non-normally distributed, I've decided to perform a lmer() with bootstrapping. This is my very ...
- 781
3
votes
1
answer
9k
views
Comparison between bootstrap percentiles confidence interval and BCa confidence interval?
I have generated a nonparametric percentiles bootstrap confidence interval ($32.27143, 51.08571$), and a BCA confidence interval ($33.26, 53.49$) with an initial sample size of $n=7$. Evidently, the ...
23
votes
5
answers
16k
views
Test if multidimensional distributions are the same
Lets say I have two or more sample populations of n-dimensional continuous-valued vectors. Is there a nonparametric way to test if these samples are from the same distribution? If so, is there a ...
- 331
15
votes
1
answer
12k
views
Is there an optimal bandwidth for a kernel density estimator of derivatives?
I need to estimate the density function based on a set of observations using the kernel density estimator. Based on the same set of observations, I also need to estimate the first and second ...
- 1,173