cat_ord_data: Simulated Ordered Categorical Data

In causalDisco: Tools for Causal Discovery on Observational Data

Simulated Ordered Categorical Data

Description

A dataset created by discretizing the continuous num_data into 5 ordered categorical levels per variable.

Usage

cat_ord_data

Format

A data.frame with 1000 rows and 5 variables.

X1

Categorical version of num_data$X1, with 5 ordered levels a–e.

X2

Categorical version of num_data$X2, with 5 ordered levels a–e.

X3

Categorical version of num_data$X3, with 5 ordered levels a–e.

Z

Categorical version of num_data$Z, with 5 ordered levels a–e.

Y

Categorical version of num_data$Y, with 5 ordered levels a–e.

Details

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

data(num_data)
cat_ord_data <- as.data.frame(
  lapply(num_data, function(x) cut(x, breaks = 5, labels = letters[1:5], ordered_result = TRUE))
)

See Also

num_data

Examples

data(cat_ord_data)
head(cat_ord_data)

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