Simulating A/B tests with data.table

library(tidyverse) library(data.table) set.seed(63) knitr::opts_chunk$set(warning = F, message = F) A/B tests involve comparing two different groups, typically with a randomised trial. Traditionally this might be a clinical trial where a new drug is given to a treatment group who are compared with a control group who did not receive the drug. Other early A/B tests were done in agriculture, where fields would be split into sections that were treated differently. [Read More]