| evaluate_independence {experDesign} | R Documentation |
Compare independence by chisq.test
Description
Looks the independence between the categories and the batches.
Usage
evaluate_independence(i, pheno)
Arguments
i |
Index of subsets. |
pheno |
A data.frame with the information about the samples. |
Value
Returns a vector with the p-values of the chisq.test between the category and the subset.
See Also
Other functions to evaluate samples:
evaluate_entropy(),
evaluate_index(),
evaluate_mad(),
evaluate_mean(),
evaluate_na(),
evaluate_orig(),
evaluate_sd()
Other functions to evaluate categories:
evaluate_entropy(),
evaluate_na()
Examples
data(survey, package = "MASS")
index <- design(survey[, c("Sex", "Smoke", "Age")], size_subset = 50,
iterations = 10)
# Note that numeric columns will be omitted:
evaluate_independence(index, survey[, c("Sex", "Smoke", "Age")])
[Package experDesign version 0.4.0 Index]