| RMD_test {CNPS} | R Documentation |
RMD Test
Description
Perform two-sample RMD test on vectors of data.
Usage
RMD_test(x , y , alternative = "greater" , mu1=median(x) , mu2=median(y),
method_p="exact" , samplenum = 2000 , samplemethod = "R" , conf.level.sample = 0.95 )
Arguments
x |
numeric vector of data values. |
y |
numeric vector of data values. |
alternative |
a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less". |
mu1 |
mean value of x, or median if not given |
mu2 |
mean value of y, or median if not given |
method_p |
a character string specifying the method of calculating p-value, must be one of "exact" (default), "sampling". |
samplenum |
The number of samples |
samplemethod |
a discrete value indicating the method of sampling. "S" represents sample function sampling; "W" represents Cistern Sampling; "R" represents Put-back sampling. |
conf.level.sample |
p-value confidence level for SRS sampling |
Details
The test is to test the difference of deviance of two samples, which has different sample means.
The arguments samplenum and samplemethod only work when method_p="sampling".
Value
method |
the test uesd |
stat |
RMD of the original data. |
pval |
p-value for the test. |
conf.int |
the confidence interval for p-value(only if method_p = "sampling") |
alternative |
a character string describing the alternative hypothesis |
Author(s)
Jiasheng Zhang, Feng Yu, Yangyang Zhang, Siwei Deng. Tutored by YuKun Liu and Dongdong Xiang.
References
Higgins, J. J. (2004). An introduction to modern nonparametric statistics. Pacific Grove, CA: Brooks/Cole.
Examples
## A simple example
x=c(16.55, 15.36, 15.94, 16.43, 16.01)
y=c(16.05, 15.98, 16.10, 15.88, 15.91)
RMD_test(x , y , alternative = "greater" )