The function is a wrapper around expand.grid and
generates the full factorial given the supplied attributes. The attributes
can either be specified directly by the user or extracted from the list
of utility functions using.
full_factorial(attrs)A named list of attributes and their levels
A matrix containing the full factorial
The full factorial is often used as the starting point to generate a
candidate set. Note that the full factorial will include unrealistic and
completely dominated alternatives. It is therefore advised to use a subset
of the full factorial as a candidate set. The user can call
full_factorial and create a subset that is passed to
generate_design using the `candidate_set` parameter, or supply
a set of restrictions through the `restrictions` argument.
opts <- list(
level_balance = FALSE,
tasks = 10
)
attrs <- list(
a1 = 1:5,
a2 = c(0, 1)
)
full_factorial(attrs)
#> a1 a2
#> 1 1 0
#> 2 2 0
#> 3 3 0
#> 4 4 0
#> 5 5 0
#> 6 1 1
#> 7 2 1
#> 8 3 1
#> 9 4 1
#> 10 5 1
V <- list(
alt1 = "b_a1[0.1] * a1[1:5] + b_a2[-2] * a2[c(0, 1)]",
alt2 = "b_a1 * a1 + b_a2 * a2"
)
attrs <- expand_attribute_levels(V)
full_factorial(attrs)
#> alt1_a1 alt1_a2 alt2_a1 alt2_a2
#> 1 1 0 1 0
#> 2 2 0 1 0
#> 3 3 0 1 0
#> 4 4 0 1 0
#> 5 5 0 1 0
#> 6 1 1 1 0
#> 7 2 1 1 0
#> 8 3 1 1 0
#> 9 4 1 1 0
#> 10 5 1 1 0
#> 11 1 0 2 0
#> 12 2 0 2 0
#> 13 3 0 2 0
#> 14 4 0 2 0
#> 15 5 0 2 0
#> 16 1 1 2 0
#> 17 2 1 2 0
#> 18 3 1 2 0
#> 19 4 1 2 0
#> 20 5 1 2 0
#> 21 1 0 3 0
#> 22 2 0 3 0
#> 23 3 0 3 0
#> 24 4 0 3 0
#> 25 5 0 3 0
#> 26 1 1 3 0
#> 27 2 1 3 0
#> 28 3 1 3 0
#> 29 4 1 3 0
#> 30 5 1 3 0
#> 31 1 0 4 0
#> 32 2 0 4 0
#> 33 3 0 4 0
#> 34 4 0 4 0
#> 35 5 0 4 0
#> 36 1 1 4 0
#> 37 2 1 4 0
#> 38 3 1 4 0
#> 39 4 1 4 0
#> 40 5 1 4 0
#> 41 1 0 5 0
#> 42 2 0 5 0
#> 43 3 0 5 0
#> 44 4 0 5 0
#> 45 5 0 5 0
#> 46 1 1 5 0
#> 47 2 1 5 0
#> 48 3 1 5 0
#> 49 4 1 5 0
#> 50 5 1 5 0
#> 51 1 0 1 1
#> 52 2 0 1 1
#> 53 3 0 1 1
#> 54 4 0 1 1
#> 55 5 0 1 1
#> 56 1 1 1 1
#> 57 2 1 1 1
#> 58 3 1 1 1
#> 59 4 1 1 1
#> 60 5 1 1 1
#> 61 1 0 2 1
#> 62 2 0 2 1
#> 63 3 0 2 1
#> 64 4 0 2 1
#> 65 5 0 2 1
#> 66 1 1 2 1
#> 67 2 1 2 1
#> 68 3 1 2 1
#> 69 4 1 2 1
#> 70 5 1 2 1
#> 71 1 0 3 1
#> 72 2 0 3 1
#> 73 3 0 3 1
#> 74 4 0 3 1
#> 75 5 0 3 1
#> 76 1 1 3 1
#> 77 2 1 3 1
#> 78 3 1 3 1
#> 79 4 1 3 1
#> 80 5 1 3 1
#> 81 1 0 4 1
#> 82 2 0 4 1
#> 83 3 0 4 1
#> 84 4 0 4 1
#> 85 5 0 4 1
#> 86 1 1 4 1
#> 87 2 1 4 1
#> 88 3 1 4 1
#> 89 4 1 4 1
#> 90 5 1 4 1
#> 91 1 0 5 1
#> 92 2 0 5 1
#> 93 3 0 5 1
#> 94 4 0 5 1
#> 95 5 0 5 1
#> 96 1 1 5 1
#> 97 2 1 5 1
#> 98 3 1 5 1
#> 99 4 1 5 1
#> 100 5 1 5 1