GD (version 1.4)

optidisc: Optimal discretization for continuous variables and visualization

Description

Optimal discretization for continuous variables and visualization

Usage

optidisc(y = y, x = x, discmethod = discmethod, discitv = discitv)
\method{print}{optidisc}(result)
\method{plot}{optidisc}(result)

Arguments

y

A numeric vector of response variable

x

A numeric vector of explanatory variable

discmethod

A character vector of discretization methods

discitv

A numeric vector of numbers of intervals

result

A list of optidisc result

Examples

# NOT RUN {
## set optional discretization methods and numbers of intervals
# optional methods: equal, natural, quantile, geometric, sd and manual
discmethod <- c("equal","natural","quantile","geometric","sd")
discitv <- c(3:7)
## optimal discretization
odc1 <- optidisc(ndvi_40$NDVIchange, ndvi_40$Tempchange, discmethod, discitv)
# odc1
# plot(odc1)
# plot(odc1$discretization)

# }