R: Chi-square hypothesis testing for categorical data.

ml_chisquare_test {sparklyr} | R Documentation

## Chi-square hypothesis testing for categorical data.

### Description

Conduct Pearson's independence test for every feature against the label. For each feature, the (feature, label) pairs are converted into a contingency matrix for which the Chi-squared statistic is computed. All label and feature values must be categorical.

### Usage

    ml_chisquare_test(x, features, label)

### Arguments

`x` | A `tbl_spark`.
`features` | The name(s) of the feature columns. This can also be the name of a single vector column created using `ft_vector_assembler()`.
`label` | The name of the label column.

### Value

A data frame with one row for each (feature, label) pair with p-values, degrees of freedom, and test statistics.

[Package sparklyr version 0.8.0 Index]