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" )


[Package CNPS version 1.0.0 Index]