PDtoolkit (version 1.2.0)

num.slice: Slice numeric variable

Description

num.slice implements manual discretization of numeric vector for a given boundaries. This procedure is one of the helper functions which are handy for the model monitoring phase (i.e. after model implementation).

Usage

num.slice(x, mapping, sc = c(NA, NaN, Inf, -Inf), sc.r = "SC")

Value

The command num.slice returns vector of discretized values and coded special cases.

Arguments

x

Numeric vector to be discretized.

mapping

Data frame with compulsory columns: x.min and x.max which represent the discretized boundaries.

sc

Numeric vector with special case elements. Default values are c(NA, NaN, Inf, -Inf).

sc.r

Character vector used for replacement of special cases. If supplied as one element vector, it will be recycled to the length of sc. Default value is "SC".

Examples

suppressMessages(library(PDtoolkit))
data(gcd)
x <- gcd$maturity
#artificially add some special values
x[1:5] <- Inf
x[6:7] <- NA
#perform monotonic grouping in order to get bins' boundaries
mbin <- sts.bin(x = x, y = gcd$qual, sc.method = "separately")
mbin[[1]]
#slice numeric variable
sn <- num.slice(x = x, 
	      mapping = data.frame(x.min = mbin[[1]]$x.min[-c(1, 2)], 
					 x.max = mbin[[1]]$x.max[-c(1, 2)]), 
	      sc = c(NA, NaN, Inf, -Inf), 
	      sc.r = "SC")
#compare automatic and manual binning
table(mbin[[2]], useNA = "always")
table(sn, useNA = "always")