cat_data_mcar: Simulated Categorical Data with MCAR

In causalDisco: Tools for Causal Discovery on Observational Data

Simulated Categorical Data with MCAR

Description

A dataset based on cat_data where some values are randomly removed to simulate MCAR.

Usage

cat_data_mcar

Format

A data.frame with 1000 rows and 5 variables.

X1

Categorical, 100 values set to NA (MCAR).

X2

Categorical, 50 values set to NA (MCAR).

X3

Categorical, 200 values set to NA (MCAR).

Z

Categorical, no missing values.

Y

Categorical, no missing values.

Details

The R code used to generate this dataset is as follows:

data(cat_data)
cat_data_mcar <- cat_data
n <- nrow(cat_data_mcar)
set.seed(1405)
cat_data_mcar$X1[sample(1:n, 100)] <- NA
cat_data_mcar$X2[sample(1:n, 50)] <- NA
cat_data_mcar$X3[sample(1:n, 200)] <- NA

See Also

cat_data

Examples

data(cat_data_mcar)
head(cat_data_mcar)

causalDisco documentation built on April 13, 2026, 5:06 p.m.