# Summary method for objects from class micro

### Description

Summary method for objects from class ‘micro’.

### Usage

1 2 |

### Arguments

`object` |
objects from class micro |

`...` |
Additional arguments passed through. |

### Details

This function computes several measures of information loss, such as

### Value

`meanx ` |
A conventional summary of the original data |

`meanxm ` |
A conventional summary of the microaggregated data |

`amean ` |
average relative absolute deviation of means |

`amedian` |
average relative absolute deviation of medians |

`aonestep ` |
average relative absolute deviation of onestep from median |

`devvar ` |
average relative absolute deviation of variances |

`amad ` |
average relative absolute deviation of the mad |

`acov ` |
average relative absolute deviation of covariances |

`arcov ` |
average relative absolute deviation of robust (with mcd) covariances |

`acor ` |
average relative absolute deviation of correlations |

`arcor ` |
average relative absolute deviation of robust (with mcd) correlations |

`acors ` |
average relative absolute deviation of rank-correlations |

`adlm ` |
average absolute deviation of lm regression coefficients (without intercept) |

`adlts` |
average absolute deviation of lts regression coefficients (without intercept) |

`apcaload ` |
average absolute deviation of pca loadings |

`apppacaload ` |
average absolute deviation of robust (with projection pursuit approach) pca loadings |

`atotals ` |
average relative absolute deviation of totals |

`pmtotals ` |
average relative deviation of totals |

### Author(s)

Matthias Templ

### References

Templ, M. *Statistical Disclosure Control for Microdata
Using the R-Package sdcMicro*, Transactions on Data Privacy, vol. 1, number
2, pp. 67-85, 2008. http://www.tdp.cat/issues/abs.a004a08.php

### See Also

`microaggregation`

, `valTable`

### Examples

1 2 3 | ```
data(Tarragona)
m1 <- microaggregation(Tarragona, method="onedims", aggr=3)
## summary(m1)
``` |