chi2indeptest: Pairwise Mutual Independence Test
In detpack: Density Estimation and Random Number Generation with Distribution Element Trees
Description
Usage
Arguments
Value
Description
Pearson's Chi-square test of pairwise mutual independence.
Usage
1
chi2indeptest(x, alpha)
Arguments
x
matrix with n rows comprised of normalized data between 0 and 1.
alpha
significance level.
Value
Object with test outcomes h[i,j] = h[j,i] = TRUE/FALSE for 1 <= i,j <= n meaning rejection/acceptance of independence null hypothesis involving rows i and j of matrix x, and p-value or confidence level of acceptance.
detpack documentation built on July 24, 2019, 5:03 p.m.
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Description Usage Arguments Value
Description
Pearson's Chi-square test of pairwise mutual independence.
Usage
1 | chi2indeptest(x, alpha)
|
Arguments
x |
matrix with |
alpha |
significance level. |
Value
Object with test outcomes h[i,j] = h[j,i] = TRUE/FALSE for 1 <= i,j <= n meaning rejection/acceptance of independence null hypothesis involving rows i and j of matrix x, and p-value or confidence level of acceptance.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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