Description Details Author(s) References Examples
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.
Package: | signmedian.test |
Type: | Package |
Version: | 1.5 |
Date: | 2015-05-27 |
License: | GPL-2) |
Yeyun Yu ,Ting Yang
Maintainer: Ting Yang<707237077@qq.com>
none.
1 2 3 4 5 6 7 8 9 | ##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)
|
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
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