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Calculate Nearest-Neighbor Label Mismatch Proportion

Source: R/01_metrics_distribution.R
calc_nn_mismatch.Rd

Integrated from countsimQC (Soneson & Robinson). Evaluates whether the dataset label composition in k-NN neighborhoods departs significantly from the overall global dataset proportion using Chi-squared tests. Works for both 1D numeric vectors and 2D matrices.

Usage

calc_nn_mismatch(ref, sim, k = NULL, subsample_size = 300)

Arguments

ref

Vector or matrix for reference dataset.

sim

Vector or matrix for simulated dataset.

k

Number of nearest neighbors (default max(5, 0.05 * N)).

subsample_size

Number of subsampled points to test (default 300).

Value

Fraction of points with significant neighbor composition mismatch (p <= 0.05).

Examples

ref <- stats::rnorm(50)
sim <- stats::rnorm(50)
calc_nn_mismatch(ref, sim)
#> [1] 0.03