# wawotest: Wald-Wolfowitz Test of Randomness In adehabitat: Analysis of Habitat Selection by Animals

## Description

The function `wawotest.default` performs a Wald Wolfowitz test of the random distribution of the values in a vector. The function `wawotest.ltraj` performs this tests for the descriptive parameters `dx`, `dy` and `dist` in an object of class `ltraj`. The function `wawotest` is generic.

## Usage

 ```1 2 3 4 5``` ```wawotest(x, ...) ## Default S3 method: wawotest(x, alter = c("greater", "less"), ...) ## S3 method for class 'ltraj' wawotest(x, ...) ```

## Arguments

 `x` for `wawotest.default` `alter` a character string specifying the alternative hypothesis, must be one of "greater" (default), "less" or "two-sided" `...` additional arguments to be passed to other functions

## Details

The statistic of the test is equal to A = sum(y(i) y(i+1)), with y(N+1) = y(1). Under the hypothesis of a random distribution of the values in the vector, this statistic is normally distributed, with theoretical means and variances given in Wald & Wolfowitz (1943).

## Value

`wawotest.default` returns a vector containing the value of the statistic (`a`), its esperance (`ea`), its variance (`va`), the normed statistic (`za`) and the P-value. `wawotest.ltraj` returns a table giving these values for the descriptive parameters of the trajectory.

## Author(s)

Stephane Dray [email protected]

## References

Wald, A. & Wolfowitz, J. (1943) An exact test for randomness in the non-parametric case based on serial correlation. Ann. Math. Statist., 14, 378–388.

## See Also

`indmove` and `runsNAltraj` for other tests of independence to be used with objects of class "ltraj"

## Examples

 ```1 2 3``` ```data(puechcirc) puechcirc wawotest(puechcirc) ```

adehabitat documentation built on Jan. 28, 2018, 5:02 p.m.