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Calculates the size of the elements

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

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

Usage

element_size(object, elements = NULL)

# S4 method for TidySet
element_size(object, elements = NULL)

Arguments

object

A TidySet object.

elements

The element from which the length is calculated.

Value

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

Methods (by class)

  • TidySet: Calculates the number of sets an element appears with length_set()

See also

cardinality

Other sizes: set_size()

Other methods: TidySet-class, activate(), add_column(), add_relation(), arrange.TidySet(), cartesian(), complement_element(), complement_set(), complement(), elements(), filter.TidySet(), group_by.TidySet(), group(), 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(), set_size(), 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)
element_size(a)
#>    elements size probability
#> 1         a    0   0.4251771
#> 2         a    1   0.5748229
#> 3         b    0   0.1400660
#> 4         b    1   0.8599340
#> 5         c    0   0.1810196
#> 6         c    1   0.8189804
#> 7         d    0   0.3011918
#> 8         d    1   0.6988082
#> 9         e    0   0.8144307
#> 10        e    1   0.1855693
#> 11        f    0   0.4540998
#> 12        f    1   0.4576389
#> 13        f    2   0.0882613