wvc: Create a 'WeightedVariable.categorical' object.
In trim: Tree methods for classification of imbalanced data

Description Usage Arguments Value Author(s) See Also Examples

The wvc function is a generic S4 method for creating a WeightedVariable.categorical object.

wvc(
  variable,
  weights = rep(1, length(variable)),
  infos = list()
)

`variable`	a categorical variable, i.e. either a `factor` or a `character`
`weights`	a `numeric` vector for weighting, for example non-response weights.
`infos`	a `list` for storing other information if needed.

A WeightedVariable.categorical object.

Emmanuel Rousseaux

WeightedVariable.categorical

data(iris)
a <- wvc(iris$Species)
a
wv.variable(a)
wv.weights(a)
wv.infos(a)

a <- wvc(as.character(iris$Species))

a <- wvc(
  iris$Species,
  weights = c(rep(1,50), rep(0,100))
)
a

a[1:10]
length(a)