NormalTests {compositions} | R Documentation |

## Compositional Goodness of fit test

### Description

Tests for several groups of additive lognormally distributed compositions.

### Usage

```
acompNormalLocation.test(x, g=NULL, var.equal=FALSE, paired=FALSE,
R=ifelse(var.equal,999,0))
```

### Arguments

`x` |
a dataset of compositions (acomp) or a list of such |

`g` |
a factor grouping the data, not used if x is a list already.
Alternatively, |

`var.equal` |
a boolean telling wether the variance of the groups should be considered equal |

`paired` |
true if a paired test should be performed |

`R` |
number of replicates that should be used to compute p-values. 0 means comparing the likelihood statistic with the correponding asymptotic chisq-distribution. |

### Details

The tests are based on likelihood ratio statistics.

### Value

A classical `"htest"`

object

`data.name` |
The name of the dataset as specified |

`method` |
a name for the test used |

`alternative` |
an empty string |

`replicates` |
a dataset of p-value distributions under the Null-Hypothesis got from nonparametric bootstrap |

`p.value` |
The p.value computed for this test |

### Missing Policy

Up to now the tests cannot handle missings.

### Note

Do not trust the p-values obtained forcing `var.equal=TRUE`

and `R=0`

.
This will include soon equivalent spread tests.

### Author(s)

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

### References

Aitchison, J. (1986) *The Statistical Analysis of Compositional
Data* Monographs on Statistics and Applied Probability. Chapman &
Hall Ltd., London (UK). 416p.

### See Also

`fitDirichlet`

,`rDirichlet`

, `runif.acomp`

,
`rnorm.acomp`

,

### Examples

```
x <- runif.acomp(100,4)
y <- runif.acomp(100,4)
acompNormalLocation.test(list(x,y))
```

*compositions*version 2.0-8 Index]