abtest: A/B testing

In explore: Simplifies Exploratory Data Analysis

A/B testing

Description

A/B testing

Usage

abtest(data, expr, n, target, sign_level = 0.05)

Arguments

data	A dataset. If no data is provided, a shiny app is launched
expr	Logical expression, that return in a FALSE/TRUE
n	A Variable for number of observations (count data)
target	Target variable
sign_level	Significance Level (typical 0.01/0.05/0.10)

Value

Plot that shows if difference is significant

Examples

## Using chi2-test or t-test depending on target type
data <- create_data_buy(obs = 100)
abtest(data, female_ind == 1, target = buy)  # chi2 test
abtest(data, city_ind == 1, target = age)    # t test

## If small number of observations, Fisher's Exact test
## is used for a binary target (if <= 5 observations in a subgroup)
data <- create_data_buy(obs = 25, seed = 1)
abtest(data, female_ind == 1, target = buy)  # Fisher's Exact test

explore documentation built on Oct. 11, 2023, 9:07 a.m.