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Questions - kruskal-wallis

How to get a correlation coefficient for a comparison between continuous and categorical variable

I have this dataset. I am trying to find the correlation between a continuous variable expr with a categorical variable WHO_Grade: > dput(tmp) structure(list(expr = c(3.72491159808923, 7.831640593...
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Komal Rathi

r

correlation

kruskal-wallis

Votes: 0

Answers: 1

Latest Answer

Kruskal-Wallis test evaluates if there is a significant variation between any categories in the sample (overall value). I would do pairwise Wilcoxon test, to evaluate the difference in the continious ...
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Andrey Bombin

How to delist of array from np.split() for function argument

Suppose I have data as in array X = [ x1 x2 ... xn ] when I use np.split(X,n) will separate in to this ARR = [ [arr1] ,[arr2] ,.... [arrn] ] Now I would get those group of array list into function ...
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Krit Pattamadit

python

arrays

pandas

numpy

kruskal-wallis

Votes: 0

Answers: 1

Latest Answer

This is exactly what the star operator (*) does: Instead of kruskal(list_array[0], list_array[1], list_array[2], list_array[3]) you can write: kruskal(*list_array) for arbitrary lengths of list_array....
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mcsoini

Running multiple Kruskal Wallis test with lapply taking long. Easier solution?

I have a data frame 90 observations and 124306 variables named KWR all numeric data. I want to run a Kruskal Wallis analysis within every column between groups. I added a vector with every different g...
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Jonas De Leeuw

r

large-data

kruskal-wallis

Votes: 0

Answers: 2

Latest Answer

Take a look at kruskaltests in the Rfast package. For the KWR data.frame, it appears it would be something like: allKWR <- Rfast::kruskaltests(as.matrix(KWR[,1:124306]), as.numeric(as.factor(KWR$Gr...
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jblood94

Getting pairwise effect sizes

I am trying to get pairwise comparisons of effect sizes. I can do this with coh_d, however, it gives me repeat comparisons. For example, in the following code, setosa vs. versicolor is the same as ver...
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hugh_man

r

anova

kruskal-wallis

iris-dataset

Votes: 0

Answers: 1

Latest Answer

m <- lm(Sepal.Length ~ Species, data=iris) emm <- emmeans(m, ~Species) eff_size(emm, sigma = sigma(m), edf = df.residual(m))
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yaynikkiprograms

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