getCat: Categorize (semi-)continuous variables

In simPop: Simulation of Complex Synthetic Data Information

Categorize (semi-)continuous variables

Description

Categorize continuous or semi-continuous variables. This is a utility function that is useful for writing custom wrapper functions such as simEUSILC.

Usage

getCat(x, breaks, zeros = TRUE, right = FALSE)

Arguments

x	a numeric vector to be categorized.
breaks	a numeric vector of two or more break points.
zeros	a logical indicating whether x is semi-continuous, i.e., contains a considerable amount of zeros. See “Details” on how this affects the behavior of the function.
right	logical; if zeros is not TRUE, this indicates whether the intervals should be closed on the right (and open on the left) or vice versa.

Details

If zeros is TRUE, 0 is added to the break points and treated as its own factor level. Consequently, intervals for negative values are left-closed and right-open, whereas intervals for positive values are left-open and right-closed.

Value

A factor containing the categories.

Author(s)

Andreas Alfons

See Also

getBreaks, cut

Examples

data(eusilcS)

## semi-continuous variable
breaks <- getBreaks(eusilcS$netIncome, 
    weights=eusilcS$rb050, equidist = FALSE)
netIncomeCat <- getCat(eusilcS$netIncome, breaks)
summary(netIncomeCat)

simPop documentation built on Nov. 10, 2022, 5:43 p.m.