GD (version 1.6)

optidisc: Optimal discretization for continuous variables and visualization.

Description

Optimal discretization for continuous variables and visualization.

Usage

optidisc(continuous_variable, response_variable,
        discmethod = discmethod, discitv = discitv)
# S3 method for optidisc
print(x, ...)
# S3 method for optidisc
plot(x, ...)

Arguments

continuous_variable

A vector or a data.frame of continuous explanatory variables

response_variable

A vector of response variable

discmethod

A character vector of discretization methods

discitv

A numeric vector of numbers of intervals

x

A list of optidisc result

...

Ignore

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$Tempchange, ndvi_40$NDVIchange, discmethod, discitv)
odc1
plot(odc1)

# }