Relative Severity Assessment Score

Source: R/relsa.R

The relsa function calculates a composite relative severity score based on normalized differences. Further, the values are regularized with a reference set to estimate relative severity.

relsa(set, bsl, a = 1, drop = NULL, turnvars = NULL, relsaNA = NA)

Arguments

set

dataset sample data frame
bsl

reference or baseline data (must be in RELSA format, see relsa_load)
a

unique animal index in data set
drop

character vector of variables to drop
turnvars

variables with inverted development under severity (i.e. temperature might rise or drop depending on the actual animal model)
relsaNA

codes how to handle NaN values during calculations (default is NA)

Value

relsa list with RELSA results (differences and weights plus RELSA score)

Examples

if (FALSE) {
RELSA <- relsa(set=testset, bsl, a=1, drop=c("bw","score"), turnvars="temp")
}