bartels.test: Ranked Version of von Neumann's Ratio Test for Randomness

In gel-research-group/lawstat: Tools for Biostatistics, Public Policy, and Law

Description

\insertCite

Bartels_1982;textuallawstat test for randomness that is based on the ranked version of von Neumann's ratio (RVN). Users can choose whether to test against two-sided, negative, or positive correlation. NAs from the data are omitted.

Usage

bartels.test(
  y,
  alternative = c("two.sided", "positive.correlated", "negative.correlated")
)

Arguments

y	a numeric vector of data values.
alternative	a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "negative.correlated", or "positive.correlated".

Value

A list of class "htest" with the following components:

statistic	the value of the standardized Bartels statistic.
parameter	RVN ratio.
p.value	the p-value for the test.
data.name	a character string giving the names of the data.
alternative	a character string describing the alternative hypothesis.

Author(s)

Kimihiro Noguchi, Wallace Hui, Yulia R. Gel, Joseph L. Gastwirth, Weiwen Miao

References

\insertAllCited

See Also

runs.test

Examples

## Simulate 100 observations from an autoregressive model of 
## the first order AR(1)
y = arima.sim(n = 100, list(ar = c(0.5)))

## Test y for randomness
bartels.test(y)

## Sample Output
##
##        Bartels Test - Two sided
## data:  y
## Standardized Bartels Statistic -4.4929, RVN Ratio =
## 1.101, p-value = 7.024e-06

gel-research-group/lawstat documentation built on Dec. 20, 2021, 9:50 a.m.