Modifies the input matrix X to ensure that the distance between any two occurrences
of the same integer is at least a dist d, by swapping one of the occurrences with a
random occurrence of a different integer that is at least d away. The function
starts with starting_dist = 3 and increases it by 1 until the algorithm no longer
converges or stop_iter iterations have been performed.
Value
A list containing the following elements:
- optim_design
The modified matrix.
- designs
A list of all intermediate designs, starting from the input matrix.
- distances
A list of all pair distances for each intermediate design.
- min_distance
An integer indicating the minimum distance between pairs of occurrences of the same integer.
- pairwise_distance
A data frame with the pairwise distances for the final design.
Examples
# Create a matrix X with the numbers 1 to 10 are twice and 11 to 50 are once.
# The matrix has 6 rows and 10 columns
set.seed(123)
X <- matrix(sample(c(rep(1:10, 2), 11:50), replace = FALSE), ncol = 10)
X
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] 21 40 17 25 26 3 11 31 36 6
#> [2,] 5 33 5 8 48 29 43 23 1 45
#> [3,] 41 27 38 39 7 28 14 22 24 4
#> [4,] 4 47 18 7 2 35 6 20 12 46
#> [5,] 3 15 9 34 49 50 2 10 42 8
#> [6,] 32 16 19 9 10 13 37 1 44 30
# Swap pairs
B <- swap_pairs(X, starting_dist = 3)
B$optim_design
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] 4 40 17 8 47 5 11 18 10 7
#> [2,] 7 30 22 3 48 29 34 44 25 1
#> [3,] 32 33 6 12 13 28 37 6 21 9
#> [4,] 9 1 20 2 19 35 43 38 15 16
#> [5,] 46 5 26 27 49 23 14 45 39 31
#> [6,] 36 8 42 41 50 10 24 3 4 2
B$designs
#> [[1]]
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] 21 40 17 25 26 3 11 31 36 6
#> [2,] 5 33 5 8 48 29 43 23 1 45
#> [3,] 41 27 38 39 7 28 14 22 24 4
#> [4,] 4 47 18 7 2 35 6 20 12 46
#> [5,] 3 15 9 34 49 50 2 10 42 8
#> [6,] 32 16 19 9 10 13 37 1 44 30
#>
#> [[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] 21 40 17 25 26 3 11 9 23 6
#> [2,] 7 33 15 36 48 29 43 8 1 45
#> [3,] 41 8 38 39 13 28 14 22 24 2
#> [4,] 4 47 18 2 9 35 6 20 12 46
#> [5,] 3 5 31 4 49 50 34 10 42 7
#> [6,] 32 16 19 27 10 5 37 1 44 30
#>
#> [[3]]
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] 21 40 17 25 26 3 11 9 23 6
#> [2,] 7 33 15 36 48 29 43 8 4 45
#> [3,] 41 8 38 39 13 28 14 22 24 2
#> [4,] 46 47 18 2 9 35 6 20 12 10
#> [5,] 10 5 31 1 49 50 34 3 42 7
#> [6,] 32 16 19 27 4 5 37 1 44 30
#>
#> [[4]]
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] 4 40 17 8 47 5 11 18 10 7
#> [2,] 7 30 22 3 48 29 34 44 25 1
#> [3,] 32 33 6 12 13 28 37 6 21 9
#> [4,] 9 1 20 2 19 35 43 38 15 16
#> [5,] 46 5 26 27 49 23 14 45 39 31
#> [6,] 36 8 42 41 50 10 24 3 4 2
#>
B$distances
#> [[1]]
#> geno Pos1 Pos2 DIST rA cA rB cB
#> 7 7 22 27 1.414214 4 4 3 5
#> 9 9 17 24 1.414214 5 3 6 4
#> 5 5 2 14 2.000000 2 1 2 3
#> 2 2 28 41 2.236068 4 5 5 7
#> 10 10 30 47 3.162278 6 5 5 8
#> 1 1 48 50 4.123106 6 8 2 9
#> 6 6 40 55 4.242641 4 7 1 10
#> 3 3 5 31 6.403124 5 1 1 6
#> 8 8 20 59 6.708204 2 4 5 10
#> 4 4 4 57 9.055385 4 1 3 10
#>
#> [[2]]
#> geno Pos1 Pos2 DIST rA cA rB cB
#> 4 4 4 23 3.162278 4 1 5 4
#> 10 10 30 47 3.162278 6 5 5 8
#> 1 1 48 50 4.123106 6 8 2 9
#> 5 5 11 36 4.123106 5 2 6 6
#> 6 6 40 55 4.242641 4 7 1 10
#> 9 9 28 43 4.242641 4 5 1 8
#> 2 2 22 57 6.082763 4 4 3 10
#> 8 8 9 44 6.082763 3 2 2 8
#> 3 3 5 31 6.403124 5 1 1 6
#> 7 7 2 59 9.486833 2 1 5 10
#>
#> [[3]]
#> geno Pos1 Pos2 DIST rA cA rB cB
#> 1 1 23 48 4.123106 5 4 6 8
#> 5 5 11 36 4.123106 5 2 6 6
#> 6 6 40 55 4.242641 4 7 1 10
#> 9 9 28 43 4.242641 4 5 1 8
#> 3 3 31 47 4.472136 1 6 5 8
#> 4 4 30 50 5.656854 6 5 2 9
#> 2 2 22 57 6.082763 4 4 3 10
#> 8 8 9 44 6.082763 3 2 2 8
#> 10 10 5 58 9.055385 5 1 4 10
#> 7 7 2 59 9.486833 2 1 5 10
#>
#> [[4]]
#> geno Pos1 Pos2 DIST rA cA rB cB
#> 6 6 15 45 5.000000 3 3 3 8
#> 8 8 12 19 5.385165 6 2 1 4
#> 3 3 20 48 5.656854 2 4 6 8
#> 5 5 11 31 5.656854 5 2 1 6
#> 10 10 36 49 5.830952 6 6 1 9
#> 2 2 22 60 6.324555 4 4 6 10
#> 1 1 10 56 8.246211 4 2 2 10
#> 7 7 2 55 9.055385 2 1 1 10
#> 9 9 4 57 9.055385 4 1 3 10
#> 4 4 1 54 9.433981 1 1 6 9
#>