R: missing or zero pattern structure.

missPatterns {robCompositions} | R Documentation

## missing or zero pattern structure.

### Description

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

### Usage

    missPatterns(x)

    zeroPatterns(x)

### Arguments

`x` | a data frame or matrix.

### Details

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

### Value

`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

### Author(s)

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

### See Also

`aggr`

### Examples

    data(expenditures)
    ## set NA's artificial:
    expenditures[expenditures < 300] <- NA
    ## detect the NA structure:
    missPatterns(expenditures)

[Package robCompositions version 2.2.1 Index]