jt.test: Jonckheere-Terpstra test

In raredd/rawr: rawr miscellaneous

Jonckheere-Terpstra test

Description

An implementation of Jonckheere's trend test for ordered independent samples.

Usage

jt.test(x, y = NULL)

Arguments

x	either a two-dimensional contingency table in matrix form or a factor object
y	a factor object; ignored if x is a matrix

Value

A list with class "htest" containing the following elements:

statistic	the value of the test statistic with a name describing it
p.value	the p-value for the test (asymptotic, two-sided, corrected for ties)
method	a character string describing the test used
data.name	a character string giving the names of the data

References

Jonckheere, A. R. (1954). A distribution-free k-sample test again ordered alternatives. Biometrika 41:133-145.

Terpstra, T. J. (1952). The asymptotic normality and consistency of Kendall's test against trend, when ties are present in one ranking. Indagationes Mathematicae 14:327-333.

See Also

cor.test; clinfin::jonckheere.test

Examples

## example from Exact Test (Mehta), figure 12.2
dat <- matrix(
  c(100, 18, 50, 50, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1), 4,
  dimnames = list(dose = 1:4 * 100,
                  toxicity = c('Mild', 'Moderate', 'Severe', 'Death'))
)
jt.test(dat)


tbl <- table(mtcars$gear, mtcars$cyl)
jt.test(tbl)
## compare
cor.test(mtcars$gear, mtcars$cyl, method = 'kendall', exact = FALSE)
# clinfun::jonckheere.test(mtcars$gear, mtcars$cyl)


## from stats::cor.test
x <- c(44.4, 45.9, 41.9, 53.3, 44.7, 44.1, 50.7, 45.2, 60.1)
y <- c(2.6, 3.1, 2.5, 5.0, 3.6, 4.0, 5.2, 2.8, 3.8)

cor.test(x, y, method = 'kendall', exact = FALSE)
jt.test(x, y)

raredd/rawr documentation built on April 29, 2024, 10:29 a.m.