discretize: Discretization wrapper

In smartdata: Data Preprocessing

Description

Discretization wrapper

Usage

discretize(dataset, method, class_attr = NULL, exclude = NULL, ...)

Arguments

dataset	we want to perform discretization on
method	selected method of discretization
class_attr	character. Indicates the class attribute or attributes from dataset. Must exist in it.
exclude	character. Vector of attributes to exclude from the discretization
...	Further arguments for method

Value

The discretized dataset

Examples

library("smartdata")

super_iris <- discretize(iris, method = "chi_merge",
                         class_attr = "Species", exclude = "Sepal.Length")
super_iris <- discretize(iris, method = "chi_merge",
                         class_attr = "Species", alpha = 0.7)
super_iris <- discretize(iris, method = "chi2", "Species",
                         alpha = 0.7, delta = 0.1)
super_iris <- discretize(iris, method = "chi2", class_attr = "Species")
super_iris <- discretize(iris, method = "extended_chi2", class_attr = "Species")
super_iris <- discretize(iris, method = "ameva", class_attr = "Species")
super_iris <- discretize(iris, method = "CAIM", class_attr = "Species")
super_iris <- discretize(iris, method = "CACC", class_attr = "Species")
super_iris <- discretize(iris, method = "equalwidth", num_bins = nrow(iris) / 2)
super_iris <- discretize(iris, method = "equalfreq", num_bins = nrow(iris) / 2)

smartdata documentation built on Dec. 19, 2019, 1:08 a.m.