The cells of a recovery_grid() run, numbered as the grid numbers
them, cut into n runs of consecutive cells for recovery_grid(cells = ). The grid orders its cells replication by replication, so a task
of at least nrow(grid) cells spans every design row, and with n at
most reps the tasks cost about the same whatever the rows cost. With
more tasks than replications, a task holds only some rows and the
tasks of the costly rows take longer.
Arguments
- grid
The grid that is passed to
recovery_grid().- reps
The replications that are passed to
recovery_grid().- n
The number of tasks, at most the number of cells.
Value
A list of n integer vectors that hold every cell exactly
once. Their lengths differ by at most one, and the longer ones come
first.
See also
recovery_grid(), whose cells argument takes one element
of the list.
Examples
grid <- data.frame(n_subjects = c(20, 50), n_trials = c(30, 100))
grid_tasks(grid, reps = 10, n = 4)
#> [[1]]
#> [1] 1 2 3 4 5
#>
#> [[2]]
#> [1] 6 7 8 9 10
#>
#> [[3]]
#> [1] 11 12 13 14 15
#>
#> [[4]]
#> [1] 16 17 18 19 20
#>