uvExactNull: Exact univariate null distribution

Description Usage Arguments Value

View source: R/multiFit.R

Description

In a univariate case, simulate an exact null distribution for the global test statistics.

Usage

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uvExactNull(uv.null.sim, test.method, correct = TRUE, col0.tot, row0.tot,
  grand.tot, top.max.ps = 4L, verbose = FALSE)

Arguments

uv.null.sim

Positive integer, the number of simulated values to be computed in a univariate case when an exact or approximate null distribution is simulated.

test.method

String, "Fisher" and "norm.approx" are applicable here.

correct

Logical, relates to Fisher's exact test, if TRUE the exact null is simulated for the mid-p corrected p-values.

col0.tot

Numerical vector, containing the column-0 totals of all 2x2 contingency tables for which simulated values are asked for. Has to be the same length as row0.tot and grand.tot.

row0.tot

Numerical vector, containing the row-0 totals of all 2x2 contingency tables for which simulated values are asked for. Has to be the same length as col0.tot and grand.tot.

grand.tot

Numerical vector, containing the totals of all 2x2 contingency tables for which simulated values are asked for. Has to be the same length as col0.tot and row0.tot.

top.max.ps

Positive integer, report the mean of the top top.max.ps order statistics of the negative logarithm of all p-values.

verbose

Logical.

Value

List of two numerical vectors for each of the global test statistics. Each such vector is of length uv.null.sim.


MultiFit documentation built on Jan. 11, 2020, 9:23 a.m.