Creating and Summarizing Contingency Tables in R

Hi, Welcome Back! 

In R, contingency tables are essential for analyzing relationships between categorical data. This tutorial covers how to generate and interpret one-way, two-way, and multi-dimensional tables using R's built-in functions.

 1. Generate (1) a one-way table for "purchased" and (2) a two-way table for "country" and "purchased.

- One-way table for "purchased": The table(df$purchased) line generates a one-way table for the "purchased" column, counting occurrences of "Yes" and "No".

- Two-way table for "country" and "purchased": The table(df$country, df$purchased) line creates a two-way table that cross-tabulates "country" and "purchased," showing how many records have each combination of country and purchase status.

INPUT:

OUTPUT:

2. Generate contingency table also known as rx C table using mtcars dataset.

- Contingency Table (r x C Table): mtcars_df is created to show the counts of each combination of gears and cylinders.

- Adding Row and Column Totals: addmargins(mtcars_df) adds the row and column totals to this table.

- Proportional Weights: prop.table(mtcars_df) calculates the proportion of each count relative to the total number of cars.

INPUT:

OUTPUT: