## Class of the Permutation Tests (in R).

### Description

rtest is a generic function. It proposes methods for the following objects `between`, `discrimin`, `procuste` `...`

### Usage

```    rtest(xtest, ...)
## S3 method for class 'rtest':
plot(x, nclass = 10, coeff = 1, ...)
as.rtest (sim, obs, call = match.call())
## S3 method for class 'rtest':
print(x, ...)
```

### Arguments

 `xtest` an object used to select a method `x` an object of class 'rtest' `...` further arguments passed to or from other methods; in `plot.randtest` to `hist` `nclass` a number of intervals for the histogram `coeff` to fit the magnitude of the graph `sim` a numeric vector of simulated values `obs` a numeric vector of an observed value `call` a call order

### Value

`as.rtest` returns a list of class `rtest`
`plot.rtest` draws the simulated values histograms and the position of the observed value

### Author(s)

Daniel Chessel

`RV.rtest`, `mantel.rtest`, `procuste.rtest`, `randtest`

### Examples

```par(mfrow = c(2,2))
for (x0 in c(2.4,3.4,5.4,20.4)) {
l0 <- as.rtest(sim = rnorm(200), obs = x0)
print(l0)
plot(l0,main=paste("p.value = ", round(l0\$pvalue, dig = 5)))
}
```

### Worked out examples

```
> ### Name: rtest
> ### Title: Class of the Permutation Tests (in R).
> ### Aliases: rtest as.rtest plot.rtest print.rtest
> ### Keywords: methods
>
> ### ** Examples
>
> par(mfrow = c(2,2))
> for (x0 in c(2.4,3.4,5.4,20.4)) {
+     l0 <- as.rtest(sim = rnorm(200), obs = x0)
+     print(l0)
+     plot(l0,main=paste("p.value = ", round(l0\$pvalue, dig = 5)))
+ }
Monte-Carlo test
Observation: 2.4
Call: as.rtest(sim = rnorm(200), obs = x0)
Based on 200 replicates
Simulated p-value: 0.009950249
Monte-Carlo test
Observation: 3.4
Call: as.rtest(sim = rnorm(200), obs = x0)
Based on 200 replicates
Simulated p-value: 0.009950249
Monte-Carlo test
Observation: 5.4
Call: as.rtest(sim = rnorm(200), obs = x0)
Based on 200 replicates
Simulated p-value: 0.004975124
Monte-Carlo test
Observation: 20.4
Call: as.rtest(sim = rnorm(200), obs = x0)
Based on 200 replicates
Simulated p-value: 0.004975124
```
```>
>
>
>
```