getFR: FR test for a single cell population pair comparison

In flowMap: Mapping cell populations in flow cytometry data for cross-sample comparisons using the Friedman-Rafsky Test

Description

Compute FR statistic for any two cell populations in flow cytometry data. Runtime of the FR test is quadratic in the number of events (nodes) totaling a single population pair comprison.

Usage

getFR(xx1, xx2)

Arguments

xx1	events of a single cell population, organized in a matrix or a data.frame of events (rows) by features (columns).
xx2	events of a single cell population, organized in a matrix or a data.frame of events (rows) by features (columns).

Value

ww FR statistic.

runs number of within-group subtrees (large number of runs indicate high degree of dissimilarity between the two cell populations being compared.

mu expected number of runs (when the two cell populations are similarly distributed).

sigma2 variance of runs.

pNorm p-values of the FR statitic assuming large sample asymptotic normal assumption.

Author(s)

Chiaowen Joyce Hsiao [e-mail]

Examples

## see vignettes

flowMap documentation built on Nov. 8, 2020, 4:56 p.m.