Mtas can produce several type of statistics, e.g. for positions, tokens or spans.

In general, statistics of type *basic* will require less resources than statistics of type *advanced*, whereas statistics of type *advanced* will require less than these of type *full*. If multiple statistics are possible and required, the parameters can be seperated with a comma.

Parameter | Description | Type |
---|---|---|

n | number of documents | basic |

sum | total | basic |

mean | mean | basic |

min | minimum | advanced |

max | maximum | advanced |

sumsq | sum of squares | advanced |

sumoflogs | sum of logs | advanced |

geometricmean | geometric mean | advanced |

quadraticmean | quadratic mean | advanced |

variance | variance | advanced |

populationvariance | population variance | advanced |

standarddeviation | standard deviation | advanced |

skewness | skewness | full |

median | median | full |

kurtosis | kurtosis | full |

all | all of the above | full |

**Examples**

n,sum mean,standarddeviation

When not obligatory, usually "*n,sum,mean*" will be the default.

Besides these parameters, a distribution can requested with (optional) arguments, optionally combined with one or more of the parameters listed above.

Parameter | Type | Arguments | Description | Obligatory |
---|---|---|---|---|

distribution() | full | start | start value | no |

end | end value | no | ||

step | size of intervals | no | ||

number | number of intervals | no |

**Examples**

distribution() distribution(start=0,end=1,number=10) mean,standarddeviation,median,distribution(start=0,end=1,number=10)