rank.test: General scores rank test for two sample problem

In npsm: Nonparametric Statistical Methods

General scores rank test for two sample problem

Description

A generalization of the Wilcoxon rank-sum test where a score function is applied to the ranks. Any scores from Rfit can be used as well as user defined. Default is to perform a Wilcoxon analysis.

Usage

rank.test(x, y, alternative = "two.sided", scores = Rfit::wscores, 
  conf.int = FALSE, conf.level = 0.95)

Arguments

x	m x 1 vector
y	n x 1 vector
alternative	one of 'two.sided', 'less', or 'greater'
scores	an object of class scores
conf.int	logical indicating if a confidence interval should be estimated
conf.level	desired level of confidence for interval

Details

Test is based on T = sum_i a(R(y_i)) where R is the rank based on the combined sample and a(t) = varphi(t/(N+1)). Confidence interval, if requested, is based on call to Rfit.

Value

statistic	Standardized value of test statistics
Sphi	Test statistic
p.value	p-value
conf.int	confidence interval for shift in location
estimate	point estimate for shift in location

Author(s)

John Kloke, Joseph McKean

References

Hettmansperger, T.P. and McKean J.W. (2011), Robust Nonparametric Statistical Methods, 2nd ed., New York: Chapman-Hall.

See Also

wilcox.test

Examples

rank.test(rt(20,1),rt(22,1)+0.2)

npsm documentation built on Nov. 15, 2023, 1:08 a.m.