signmedian.test-package: Perform Exact Sign Test and Asymptotic Sign Test in Large...

In signmedian.test: Perform Exact Sign Test and Asymptotic Sign Test in Large Samples

Description

Perform sign test on one-sample data, which is one of the oldest non-parametric statistical methods. Assume that X comes from a continuous distribution with median = v ( unknown ). Test the null hypothesis H0: median of X v = mu ( mu is the location parameter and is given in the test ) v.s. the alternative hypothesis H1: v > mu ( or v < mu or v != mu ) and calculate the p-value. When the sample size is large, perform the asymptotic sign test. In both ways, calculate the R-estimate of location of X and the distribution free confidence interval for mu.

Details

Package:	signmedian.test
Type:	Package
Version:	1.5
Date:	2015-05-27
License:	GPL-2)

Author(s)

Yeyun Yu ,Ting Yang

Maintainer: Ting Yang<[e-mail]>

References

none.

Examples

##One-sample test
x<-c(-5,-3,-2,1,5,6,3,9,10,15,20,21)
signmedian.test(x,alternative = "greater",exact=TRUE)
signmedian.test(x,mu=3,alternative="two.sided",exact=FALSE)
##Two-sample test(paired data)
x<-c(-5,-3,-2,1,5,6,3,9,10,15,20,21)
y<-c(-1,-2,-3,1,2,3,4,2,6,8,9,10)
x<-y-x
signmedian.test(x,alternative = "greater",exact=TRUE)

Example output

	Exact sign test

data:  x
#(x>0) = 9, mu = 0, p-value = 0.073
alternative hypothesis: the median of x is greater than mu
96.14258 percent confidence interval:
 -2 15
sample estimates:
point estimator 
            5.5 


	Asymptotic sign test(with continuity correction)

data:  x
#(x!=3) = 11, mu = 3, p-value = 0.5465
alternative hypothesis: the median of x is not equal to mu
94.79071 percent confidence interval:
 -3 20
sample estimates:
point estimator 
            5.5 


	Exact sign test

data:  x
#(x>0) = 3, mu = 0, p-value = 0.9673
alternative hypothesis: the median of x is greater than mu
93.45703 percent confidence interval:
 -7  1
sample estimates:
point estimator 
             -3 

signmedian.test documentation built on May 1, 2019, 9:13 p.m.