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)
}
#> [1] 0 1 297 728 1360 2135 3446 5721 8477 12314
#> [11] 17572 27360 43152 68500 95757 269349
