qmway.table: Estimate quantiles of maximum statistics on multi-way table...

In ryamada22/mwaytable: What the package does (short line)

Description

Estimate quantiles of maximum statistics on multi-way table under unll or alternative hypothesis

Usage

qmway.table(p, A, tests, lower.tail, x, nc, one.side, n)

Arguments

p	probability vector
A	An array or matrix of table that specifies marginal counts
tests	A list of tables
lower.tail	logical; if TRUE (default), probabilities are P[X ?????? x], otherwise, P[X > x].
x	a vector of K statistic values
nc	Optional. if FALSE (default), random tables are in null hypothesis and otherwise in alternative hypothesis with its ccenter being table A
one.side	Optional. When TRUE, tests are one-sided, otherwise two-sided
n	number of random unit vectors used for estimation

Value

• "x"quantile

• "p.used"Argument p

• "p.estimated"p value corresponding to the estimated quantile, which is some deviated from p of argument because, estimation process is involeved.

Examples

A <- matrix(c(10,20,30,40,50,60),2,3)
t1 <- t2 <- t3 <- matrix(c(1,0,0,0,0,0),byrow=TRUE,2,3)
t2[1,2] <- 0.5
t3[1,2] <- 1
tests <- list(t1,t2,t3)
n <- 1000
p <- 0.05
qmway.table(p,A,tests)

ryamada22/mwaytable documentation built on May 28, 2019, 10:44 a.m.