Description Usage Arguments Details Value Author(s) See Also Examples

Analysis of the missing or the zero patterns structure of a data set.

1 2 3 | ```
missPatterns(x)
zeroPatterns(x)
``` |

`x` |
a data frame or matrix. |

Here, one pattern defines those observations that have the same structure regarding their missingness or zeros. For all patterns a summary is calculated.

`groups ` |
List of the different patterns and the observation numbers for each pattern |

`cn ` |
the names of the patterns coded as vectors of 0-1's |

`tabcomb` |
the pattern structure - all combinations of zeros or missings in the variables |

`tabcombPlus` |
the pattern structure - all combinations of zeros or missings in the variables including the size of those combinations/patterns, i.e. the number of observations that belongs to each pattern. |

`rsum` |
the number of zeros or missing values in each row of the data set. |

`rindex` |
the index of zeros or missing values in each row of the data set |

Matthias Templ. The code is based on a previous version from Andreas Alfons and Matthias Templ from package VIM

1 2 3 4 5 | ```
data(expenditures)
## set NA's artificial:
expenditures[expenditures < 300] <- NA
## detect the NA structure:
missPatterns(expenditures)
``` |

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