Proportions in each subgroup with elevated results across multiple vars
Usage
share_elevated_multiple(
data,
varlist,
levels = c("As expected", "Elevated"),
.split = TRUE,
classes = "All",
genders = c("Boys", "Girls")
)
Arguments
- data
Prepared input data
- varlist
List of variable labels, with names corresponding to columns
- levels
Levels to sum over
- .split
Split by gender/class
- classes
Vector/list of classes, nested by clusters
- genders
Vector of genders