Description Usage Arguments Details Value See Also Examples
Computes criterion distribution under null hypothesis for all contingency tables possible for a feature and a target.
1 | distr_crit(target, feature, criterion = "ig", iter_limit = 200)
|
target |
{0,1}-valued target vector. See Details. |
feature |
{0,1}-valued feature vector. See Details. |
criterion |
criterion used for calculations of distribution.
See |
iter_limit |
limit the number of calculated contingence matrices. If
|
both target
and feature
vectors may contain only 0
and 1.
An object of class criterion_distribution
.
1 2 | target_feature <- create_feature_target(10, 375, 15, 600)
distr_crit(target = target_feature[,1], feature = target_feature[,2])
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.