CNPS (version 1.0.0)

RMD_test: 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

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

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".

References

Higgins, J. J. (2004). An introduction to modern nonparametric statistics. Pacific Grove, CA: Brooks/Cole.

Examples

# NOT RUN {
## 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" )
# }