## Monte-Carlo Test on the between-groups inertia percentage (in C).

### Description

Performs a Monte-Carlo test on the between-groups inertia percentage.

### Usage

```## S3 method for class 'between':
randtest(xtest, nrepet = 999, ...)
```

### Arguments

 `xtest` an object of class `between` `nrepet` the number of permutations `...` further arguments passed to or from other methods

### Value

a list of the class `randtest`

### References

Romesburg, H. C. (1985) Exploring, confirming and randomization tests. Computers and Geosciences, 11, 19–37.

### Examples

```data(meaudret)
pca1 <- dudi.pca(meaudret\$mil, scan = FALSE, nf = 3)
rand1 <- randtest(between(pca1, meaudret\$plan\$dat, scan = FALSE), 99)
rand1
plot(rand1, main = "Monte-Carlo test")
```

### Worked out examples

```
> ### Name: randtest.between
> ### Title: Monte-Carlo Test on the between-groups inertia percentage (in
> ###   C).
> ### Aliases: randtest.between
> ### Keywords: multivariate nonparametric
>
> ### ** Examples
>
> data(meaudret)
> pca1 <- dudi.pca(meaudret\$mil, scan = FALSE, nf = 3)
> rand1 <- randtest(between(pca1, meaudret\$plan\$dat, scan = FALSE), 99)
> rand1
Monte-Carlo test
Call: randtest.between(xtest = between(pca1, meaudret\$plan\$dat, scan = FALSE),
nrepet = 99)

Observation: 0.3722686

Based on 99 replicates
Simulated p-value: 0.01
Alternative hypothesis: greater

Std.Obs Expectation    Variance
3.302810875 0.158975973 0.004170464
> plot(rand1, main = "Monte-Carlo test")
```
```>
>
>
>
```