lmhgroups: Create Low-Medium-High Subgroups at Specified Levels

In Dustin-Wood/funfield: Functional Field Functions

Create Low-Medium-High Subgroups at Specified Levels

Description

This will return three variables detailing whether the participant should be placed in a 'low', 'medium' or 'high' subgroup

Usage

lmhgroups(voi, cuts, per = F)

Arguments

voi	variable of interest
cuts	Two numbers specifying (1) highest value for LOW membership, and (2) lowest value for HIGH membership. Remainder will be placed in MIDDLE group.
per	Should VOI be converted to a 'percentage rank' variable? (Default to F) If T then cuts shift to becoming probabilities to cut at (i.e., values should be between 0 and 1)

Details

Note that the sum of the three groups will equal the total sample of non-missing values. Can be used in combination with effectiveN.

Value

weight for low, medium, and high z-score groups

Examples

#create about equal sized subgroups (~33%) if(!) there are no ties in data
xcuts<-lmhgroups(x, cuts = c(1/3,2/3), per = T)

Dustin-Wood/funfield documentation built on July 20, 2023, 7:10 a.m.