missPatterns: missing or zero pattern structure.

In robCompositions: Compositional Data Analysis

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)

robCompositions documentation built on Aug. 25, 2023, 5:13 p.m.