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Calculates the size of a set

Source: R/AllGenerics.R, R/length.R
set_size.Rd

Assuming that the fuzzy values are probabilities, calculates the probability of being of different sizes for a given set.

Usage

set_size(object, sets = NULL)

# S4 method for class 'TidySet'
set_size(object, sets = NULL)

Arguments

object

A TidySet object.

sets

The sets from which the length is calculated.

Value

A list with the size of the set or the probability of having that size.

Methods (by class)

  • set_size(TidySet): Calculates the size of a set using length_set()

See also

cardinality

Other sizes: element_size()

Other methods: TidySet-class, activate(), add_column(), add_relation(), arrange.TidySet(), cartesian(), complement(), complement_element(), complement_set(), element_size(), elements(), filter.TidySet(), group(), group_by.TidySet(), incidence(), intersection(), is.fuzzy(), is_nested(), move_to(), mutate.TidySet(), nElements(), nRelations(), nSets(), name_elements<-(), name_sets(), name_sets<-(), power_set(), pull.TidySet(), relations(), remove_column(), remove_element(), remove_relation(), remove_set(), rename_elements(), rename_set(), select.TidySet(), sets(), subtract(), union()

Examples

relations <- data.frame(
    sets = c(rep("A", 5), "B", "C"),
    elements = c(letters[seq_len(6)], letters[6]),
    fuzzy = runif(7)
)
a <- tidySet(relations)
set_size(a)
#>    sets size probability
#> 1     A    0 0.001986152
#> 2     A    1 0.151040293
#> 3     A    2 0.429573109
#> 4     A    3 0.351379611
#> 5     A    4 0.063502987
#> 6     A    5 0.002517848
#> 7     B    0 0.874210773
#> 8     B    1 0.125789227
#> 9     C    0 0.036818246
#> 10    C    1 0.963181754