
It creates a n_flipsxn_obs matrix of random +1 and -1. The first row is made by ones (i.e. the observed test statistic is computed)
make_flips.RdIt creates a n_flipsxn_obs matrix of random +1 and -1.
The first row is made by ones (i.e. the observed test statistic is computed)
Examples
# example code
make_flips(n_obs=10,n_flips=20)
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 -1 -1 1 -1 -1 1 -1 -1 -1
#> [3,] -1 -1 1 1 -1 -1 1 -1 1 -1
#> [4,] 1 -1 -1 -1 -1 1 1 -1 -1 1
#> [5,] -1 1 -1 -1 -1 1 1 -1 1 1
#> [6,] 1 -1 1 -1 -1 -1 -1 1 -1 1
#> [7,] -1 1 -1 -1 1 -1 -1 1 -1 1
#> [8,] 1 -1 1 1 1 1 1 1 -1 1
#> [9,] -1 1 -1 -1 -1 -1 1 1 -1 1
#> [10,] 1 -1 -1 -1 -1 -1 1 -1 -1 1
#> [11,] 1 1 -1 -1 -1 1 -1 1 -1 -1
#> [12,] 1 -1 -1 -1 1 1 -1 -1 -1 -1
#> [13,] -1 1 -1 1 1 -1 1 1 -1 -1
#> [14,] 1 -1 1 -1 1 1 -1 1 1 -1
#> [15,] 1 1 -1 1 1 -1 1 1 1 1
#> [16,] -1 1 -1 1 -1 1 1 1 1 1
#> [17,] -1 -1 -1 -1 -1 -1 -1 -1 1 1
#> [18,] -1 1 -1 -1 -1 1 1 1 -1 -1
#> [19,] 1 1 1 1 1 1 -1 -1 -1 -1
#> [20,] 1 1 1 1 1 -1 1 -1 1 -1