Given the number of attributes or model specification, generate all possible attribute patterns.
Arguments
- x
An object used to generate the possible patterns. This could be a number (the number of attributes; e.g.,
3,4), or an object that defines attribute relationships (e.g., a structural model or model specification).- ...
Additional arguments passed to methods. See details.
Value
A tibble with all possible attribute patterns. Each row is a profile, and each column indicates whether the attribute in that column was present (1) or not (0).
Details
Additional arguments passed to methods:
keep_names: When x is a model specification, should
the real attribute names be used (TRUE; the default), or replaced with
generic names (FALSE; e.g., "att1", "att2", "att3").
attributes: When x is a structural model, the
number of attributes that should be used to generate the profiles.
Examples
create_profiles(3L)
#> # A tibble: 8 × 3
#> att1 att2 att3
#> <int> <int> <int>
#> 1 0 0 0
#> 2 1 0 0
#> 3 0 1 0
#> 4 0 0 1
#> 5 1 1 0
#> 6 1 0 1
#> 7 0 1 1
#> 8 1 1 1
create_profiles(5)
#> # A tibble: 32 × 5
#> att1 att2 att3 att4 att5
#> <int> <int> <int> <int> <int>
#> 1 0 0 0 0 0
#> 2 1 0 0 0 0
#> 3 0 1 0 0 0
#> 4 0 0 1 0 0
#> 5 0 0 0 1 0
#> 6 0 0 0 0 1
#> 7 1 1 0 0 0
#> 8 1 0 1 0 0
#> 9 1 0 0 1 0
#> 10 1 0 0 0 1
#> # ℹ 22 more rows
create_profiles(unconstrained(), attributes = 2)
#> # A tibble: 4 × 2
#> att1 att2
#> <int> <int>
#> 1 0 0
#> 2 1 0
#> 3 0 1
#> 4 1 1