`dataFrame.columns.stat — sampleSize()`

Description

The sampleSize() method of the stat object computes the required sample size to detect a Minimum Detectable Effect (MDE) for a given Conversion Rate.

Signature

dataFrame.columns(conversionRate, minimumDetectableEffect).stat.sampleSize()

Scope: columns
Family: stat
Returns: mask

Arguments

conversionRate (string): The name of the column containing the conversion rate.
minimumDetectableEffect (string): The name of the column containing the Minimum Detectable Effect (MDE).

Options

power (number): The desired statistical powerof the test. (Default: 0.8)
significance (number): The significance level of the test. (Default: 0.05)
variants (number): The total number of groups included in the test, including the reference group. (Default: 1)

Returns

mask ( number[] ): An array containing the required sample size for each conversion rate.

Example

// calculate the sample size for an A/B test
var mask = dataFrame.columns('Conversion Rate', 'MDE').stat.sampleSize({ variants: 2 });

// add the sample size to the dataFrame
dataFrame.column('Sample Size').set(mask);