rank.test: 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)
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
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
Author
John Kloke, Joseph McKean
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.
References
Hettmansperger, T.P. and McKean J.W. (2011), Robust Nonparametric Statistical Methods, 2nd ed., New York: Chapman-Hall.