setCAResultsStratification
[PKanalix] Set CA results stratification
Set the stratification used to compute CA parameters statistics table. Stratification is defined by:
stratification covariate groups which are shared by both NCA and CA results
a stratification state which is specific to each task results
Usage
setCAResultsStratification(
split = NULL,
filter = NULL,
groups = NULL,
state = NULL
)
Arguments
- split
(vector) Ordered list of splitted covariates
- filter
(list< pair> >) List of paired containing a covariate name and the indexes of associated kept groups
- groups
Stratification groups list
- state
Stratification state
Details
For each covariate, stratification groups can be defined as a list with:
name | character | covariate name |
definition | vector(continuous) || list>(categorical) | group separations (continuous) || modality sets (categorical) |
A stratification state is represented as a list with:
split | vector | ordered list of splitted covariates |
filter | list< pair> > | list of paired containing a covariate name and the indexes of associated kept groups |
See also
Examples
if (FALSE) {
setCAResultsStratification(split = "SEX")
setCAResultsStratification(split = c("SEX", "WEIGHT"))
setCAResultsStratification(filter = list("SEX", 1))
setCAResultsStratification(filter = list(list("SEX", 1), list("WEIGHT", c(1,3))))
setCAResultsStratification(split = "WEIGHT", filter = list(list("TRT", c(1,2))),
groups = list(list(name = "WEIGHT", definition = c(65,5, 72)), list(name = "TRT", definition = list(c("a","b"), "c", c("d","e")))))
s = getCAResultsStratification()
setCAResultsStratification(state = s$state, groups = s$groups)
}