Calculate Wald-Wolfowitz Runs Test on Pooled Distributions

Integrated from countsimQC (Soneson & Robinson). Tests whether values from the two datasets intermingle randomly when sorted. A significant left-sided result indicates that identical values cluster together into fewer runs than expected by chance, signaling distinct distributions.

Usage

calc_runs_test(ref, sim, alternative = c("left.sided", "two.sided"))

Arguments

ref

Numeric vector of reference values.

sim

Numeric vector of simulated values.

alternative

Alternative hypothesis: "left.sided" (default in countsimQC) or "two.sided".

Value

A named list with the runs test statistic and p-value.

Examples

ref <- stats::rnorm(50)
sim <- stats::rnorm(50)
calc_runs_test(ref, sim)
#> $runs_statistic
#> [1] 0.6030535
#> 
#> $runs_pvalue
#> [1] 0.7267634
#>