make_n_cutoffs: Make a defined number of categories having similar number of...

In afdx: Diagnosis Performance Using Attributable Fraction

Description

Generate the categories in a way that each category have at least the mintot number of observation. It generate all possible categories were there is change and then collapse to have minimum number of observations in each category

Usage

make_n_cutoffs(v.fever, v.density, mintot, add1 = TRUE)

Arguments

v.fever	numeric vector of 0/1 indicating fever or equivalent
v.density	numeric vector of values >= 0 indicating the density
mintot	minimum number of observations per category
add1	a logical value to indicate the category started with 1 is included

Value

a vector with the cutoff points

Examples

{
make_n_cutoffs(malaria_df1$fever, malaria_df1$density, mintot=50)
}

afdx documentation built on May 25, 2021, 5:09 p.m.