Diagnose a randomization schedule

Reports the design properties a reviewer (or a preregistration reader) would want to see: condition counts, run-length distribution, number of alternations, and the lag-1 autocorrelation of the condition sequence.

Usage

check_schedule(schedule)

Arguments

schedule

A nof1_schedule from design_schedule(), or any data frame with day and condition columns.

Value

A list with elements counts, max_run, run_table, alternations, and lag1_autocor.

Examples

sched <- design_schedule(n_days = 70, seed = 20260218)
check_schedule(sched)
#> $counts
#> cond
#>  0  1 
#> 35 35 
#> 
#> $max_run
#> [1] 2
#> 
#> $run_table
#> 
#>  1  2 
#> 30 20 
#> 
#> $alternations
#> [1] 49
#> 
#> $lag1_autocor
#> [1] -0.4201681
#>