optidisc {GD}R Documentation

Optimal discretization for continuous variables and visualization.

Description

Optimal discretization for continuous variables and visualization.

Usage

optidisc(formula, data,
        discmethod = discmethod, discitv = discitv)
## S3 method for class 'optidisc'
print(x, ...)
## S3 method for class 'optidisc'
plot(x, ...)

Arguments

formula

A formula of response and explanatory variables, where the explanatory variables must be continuous variables to be discretized.

data

A data.frame includes response and explanatory variables

discmethod

A character vector of discretization methods

discitv

A numeric vector of numbers of intervals

x

A list of optidisc result

...

Ignore

Examples

## set optional discretization methods and numbers of intervals
# optional methods: equal, natural, quantile, geometric, sd and manual
discmethod <- c("equal","quantile")
discitv <- c(4:5)
## optimal discretization
odc1 <- optidisc(NDVIchange ~ Tempchange, ndvi_40, discmethod, discitv)
odc1
plot(odc1)


[Package GD version 10.3 Index]