Simulated Ordered Categorical Data

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)
#>   X1 X2 X3 Z Y
#> 1  c  b  b c b
#> 2  d  b  a c c
#> 3  d  d  e b d
#> 4  e  b  b d d
#> 5  d  c  c c c
#> 6  d  c  c b d