`dataFrame.column.stat — andersonDarling()`

Description

The andersonDarling() method of the stat object evaluates whether the values of the selected column follow a normal distribution using the Anderson–Darling test.

Signature

dataFrame.column(columnName).stat.andersonDarling({ sorted: false })

Scope: column
Family: stat
Returns: object

Arguments

columnName (string): The name of the column from which to calculate statistics.
options (object): Anderson–Darling test options.

Option

sorted (boolean)

Indicates whether the values are already sorted in ascending order.

Sorted: true
Not sorted: false (default)

Returns

stat (object)

The Anderson–Darling test statistics:

AD_stat: the Anderson-Darling statistic.
p_value: the associated p-value.

Note

Larger values generally indicate a greater deviation from normality.

Example

// perform the Anderson-Darling test
var stat = dataFrame.column('revenue').stat.andersonDarling();

// log the test stats
notebook.log(stat);