Update a minimisation with new data

update updates the minimisation with new participant data, using the existing group allocations and factor information to allocate the new participants using minimisation.

Usage

# S3 method for class 'mini'
update(object, new.data, ...)

Arguments

object

an object of class mini, i.e., resulting from minimise()

new.data

a data.frame object with one line per new participant and columns for the minimisation factors. Must be of the same format as the data.frame in object (minus Group)

...

unused arguments passed to update.default()

Value

(Invisibly) the data.frame of all participants with group existing and new group allocations

See also

update() for the generic function

Examples

mini <- minimise(patients, groups = 3, factors = c("sex", "stage"),
                 burnin = 10)

new.patients <- data.frame(
  sex = c("F", "F", "M"),
  stage = c("II","I", "I"),
  site = c(9, 9, 1)
)

update(mini, new.patients)
#> Multi-arm Minimisation 
#> --------------------------------------------------------------------------------
#> Groups: A B C 
#> Randomisation ratio: 1:1:1 
#> Factors: sex, stage 
#> Burnin: 10 
#> Minimisation probability: 0.8 
#> Group sizes: 53, 50, 50