R Statistics Cookbook

How to do it...

In this recipe, we will use independence tests to complement our expert model defined in the previous recipe:

1. We load the necessary libraries and the dataset. Then, we create our model, which is based on the same one we used in the previous recipe. Ultimately, we are interested in improving our starting model:

library(bnlearn)library(ggplot2)data = read.csv("./employee_data.csv")[-1]dag = model2network("[Area][travel_time|Area][performance|travel_time:diet_quality] [Recently_had_child][Sleep_quality|Recently_had_child:Area][diet_quality|Sleep_quality]")

2. Let's run a first test to check whether the performance is independent of the sleep_quality, once we control for the performance ascendants. In other words, we are testing ...