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 |
... |
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]