R: Classical Gauss Test

gausstest {compositions} | R Documentation

## Classical Gauss Test

### Description

One and two sample Gauss test for equal mean of normal random variates with known variance.

### Usage

    Gauss.test(x,y=NULL,mean=0,sd=1,alternative = c("two.sided", "less", "greater"))

### Arguments

`x` | a numeric vector providing the first dataset
`y` | optional second dataset
`mean` | the mean to compare with
`sd` | the known standard deviation
`alternative` | the alternative to be used in the test

### Details

The Gauss test is in every Text-Book, but not in R, because it is nearly never used. However it is included here for educational purposes.

### Value

A classical `"htest"` object

`data.name` | The name of the dataset as specified
`method` | a name for the test used
`parameter` | the mean and variance provided to the test
`alternative` | an empty string
`p.value` | The p.value computed for this test

### Author(s)

K.Gerald v.d. Boogaart http://www.stat.boogaart.de

### See Also

`t.test`

### Examples

    x <- rnorm(100)
    y <- rnorm(100)
    Gauss.test(x,y)

[Package compositions version 2.0-4 Index]