corkscrew (version 1.1)

ctoc: Categorical variables into Continuous features

Description

Converting categorical variables into continuous features using the mean of the response variable for the respective categories without using the index record.

Usage

ctoc(y, x, data, min.obs)

Arguments

y

Response variable (categorical or continuous).

x

Predictor variables in the dataframe which are categorical and need to be converted into continuous.

data

Name of the dataframe.

min.obs

The minimum number of observations within a category in a categorical variable to get converted into a continuous feature. All the categories which have observations less than the min.obs will form a different category.

Value

Returns a dataframe with converted features without replacing the original ones.

Details

This function is only for categorical variables.

See Also

apply.ctoc, tbin, apply.tbin.

Examples

data(ChickWeight)
# Converting the "Chick" variable into factor from ord.factor for demonstration purposes.
ChickWeight$Chick <- as.factor(as.numeric(ChickWeight$Chick))
# Returns a dataframe with two added columns for "Chick" and "Diet"
head(ctoc(y = "weight", x = c("Chick","Diet"), data = ChickWeight, min.obs = 12))