rSDev.test | R Documentation |

Monte Carlo based contingency table tests considering the compositional approach to contingency tables.

```
rSDev.test(x, R = 999, method = "multinom")
```

`x` |
matrix, data.frame or table |

`R` |
an integer specifying the number of replicates used in the Monte Carlo test. |

`method` |
either “rmultinom” (default) or “permutation”. |

Method “rmultinom” generate multinomially distributed samples
from the independent probability table, which is estimated from `x`

using geometric mean marginals.
The relative simplicial deviance of the original data are then compared to the generated ones.

Method “permutation” permutes the entries of `x`

and compares the relative simplicial deviance estimated from
the original data to the ones of the permuted data (the independence table is unchanged and originates on `x`

).

Method “rmultinom” should be preferred, while method “permutation” can be used for comparisons.

A list with class “htest” containing the following components:

statisticthe value of the relative simplicial deviance (test statistic).

methoda character string indicating what type of rSDev.test was performed.

p.valuethe p-value for the test.

Matthias Templ, Karel Hron

Egozcue, J.J., Pawlowsky-Glahn, V., Templ, M., Hron, K. (2015)
Independence in contingency tables using simplicial geometry.
*Communications in Statistics - Theory and Methods*, 44 (18), 3978–3996.

`rSDev`

```
data(precipitation)
rSDev.test(precipitation)
```

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