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Create a TidySet object

Source: R/tidy-set.R
tidySet.Rd

These functions help to create a TidySet object from data.frame, list, matrix, and GO3AnnDbBimap. They can create both fuzzy and standard sets.

Usage

tidySet(relations)

# S3 method for class 'data.frame'
tidySet(relations)

# S3 method for class 'list'
tidySet(relations)

# S3 method for class 'matrix'
tidySet(relations)

# S3 method for class 'Go3AnnDbBimap'
tidySet(relations)

# S3 method for class 'TidySet'
tidySet(relations)

Arguments

relations

An object to be coerced to a TidySet.

Value

A TidySet object.

Details

Elements or sets without any relation are not shown when printed.

Methods (by class)

  • tidySet(data.frame): Given the relations in a data.frame

  • tidySet(list): Convert to a TidySet from a list.

  • tidySet(matrix): Convert an incidence matrix into a TidySet

  • tidySet(Go3AnnDbBimap): Convert Go3AnnDbBimap into a TidySet object.

  • tidySet(TidySet): Convert TidySet into a TidySet object.

See also

TidySet

Examples

relations <- data.frame(
    sets = c(rep("a", 5), "b"),
    elements = letters[seq_len(6)]
)
tidySet(relations)
#>   elements sets fuzzy
#> 1        a    a     1
#> 2        b    a     1
#> 3        c    a     1
#> 4        d    a     1
#> 5        e    a     1
#> 6        f    b     1
relations2 <- data.frame(
    sets = c(rep("A", 5), "B"),
    elements = letters[seq_len(6)],
    fuzzy = runif(6)
)
tidySet(relations2)
#>   elements sets     fuzzy
#> 1        a    A 0.1258563
#> 2        b    A 0.9381527
#> 3        c    A 0.8012751
#> 4        d    A 0.7580536
#> 5        e    A 0.5325652
#> 6        f    B 0.5468048
# A
x <- list("A" = letters[1:5], "B" = LETTERS[3:7])
tidySet(x)
#>    elements sets fuzzy
#> 1         a    A     1
#> 2         b    A     1
#> 3         c    A     1
#> 4         d    A     1
#> 5         e    A     1
#> 6         C    B     1
#> 7         D    B     1
#> 8         E    B     1
#> 9         F    B     1
#> 10        G    B     1
# A fuzzy set taken encoded as a list
A <- runif(5)
names(A) <- letters[1:5]
B <- runif(5)
names(B) <- letters[3:7]
relations <- list(A, B)
tidySet(relations)
#>    elements sets     fuzzy
#> 1         a Set2 0.0959265
#> 2         b Set2 0.3883498
#> 3         c Set2 0.1723519
#> 4         d Set2 0.6907258
#> 5         e Set2 0.6752085
#> 6         c <NA> 0.9462948
#> 7         d <NA> 0.1962195
#> 8         e <NA> 0.9686375
#> 9         f <NA> 0.3870963
#> 10        g <NA> 0.6503439
# Will error
# x <- list("A" = letters[1:5], "B" = LETTERS[3:7], "c" = runif(5))
# a <- tidySet(x) # Only characters or factors are allowed as elements.
M <- matrix(c(1, 0.5, 1, 0), ncol = 2,
            dimnames = list(c("A", "B"), c("a", "b")))
tidySet(M)
#>   elements sets fuzzy
#> 1        A    a   1.0
#> 2        B    a   0.5
#> 3        A    b   1.0