num_lump: Perform lumping of numerical values

In amp.dm: Data Management Tools for Pharmacometrics

Perform lumping of numerical values

Description

This function is mainly a wrapper for forcats::fct_lump but applied on numeric variables. Furthermore there is the option to use uniques to determine small categories for instance on individual level

Usage

num_lump(x, lumpcat = 99, uniques = NULL, prop = NULL, min = NULL, ...)

Arguments

x	numeric vector with the items that should be lumped
lumpcat	the category in which the lumped levels should be added (see details)
uniques	vector that defines unique records to enable lumping on non duplicate values
prop	numeric with the threshold proportions for lumping
min	numeric with the min number of times a level should appear to not lump
...	additional arguments passed to forcats::fct_lump_min and/or forcats::fct_lump_prop

Details

The argument lumpcat is the level in which lumped values should appear and can be one of the following:

• numeric with the category number to set the levels to

• character specifying "largest" to select the largest category (selected before lumping)

• named vector to set the 'algorithm' for instance: c('5'='3', '4'='6') to set category 5 to 3 and 4 to 6 when these categories need lumping

Value

vector with the lumping applied

Author(s)

Richard Hooijmaijers

Examples

dfrm <- data.frame(id = 1:30, cat = c(rep(1,8),rep(2,13), rep(3,4),rep(4,5)))
num_lump(x=dfrm$cat, lumpcat=99, prop=0.15)

amp.dm documentation built on March 13, 2026, 5:08 p.m.