All Questions
Tagged with nonparametric r
235
questions
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
49
votes
1
answer
17k
views
Intuition behind tensor product interactions in GAMs (MGCV package in R)
Generalized additive models are those where
$$
y = \alpha + f_1(x_1) + f_2(x_2) + e_i
$$
for example. the functions are smooth, and to be estimated. Usually by penalized splines. MGCV is a package ...
- 13.5k
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
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
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
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
19
votes
2
answers
6k
views
Nonparametric Bayesian analysis in R
I am looking for a good tutorial on clustering data in R using hierarchical dirichlet process (HDP) (one of the recent and popular nonparametric Bayesian methods).
...
- 6,712
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
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
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
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
12
votes
1
answer
257
views
What is the name of the density estimation method where all possible pairs are used to create a Normal mixture distribution?
I just thought of a neat (not necessarily good) way of creating one dimensional density estimates and my question is:
Does this density estimation method have a name? If not, is it a special case of ...
- 6,840
11
votes
2
answers
5k
views
Wilcoxon-Mann-Whitney critical values in R
I have noticed that when I try to find the critical values for the Mann-Whitney U using R, the values are always 1+critical value. For example, for $\alpha=.05, n = 10, m = 5$, the (two-tailed) ...
- 1,042
10
votes
3
answers
2k
views
How to test my data against an specific normal distribution?
I need to test my data to see if it follows a normal distribution with specific mean and std like N~(mu, std) I know that this can be done by Kolmogorov-Smirnov test which has a function in both ...
- 1,037