R: Compositional Goodness of fit test

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, `g` can be a second compositional data set.
`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))

[Package compositions version 2.0-4 Index]