robCompositions (version 2.1.0)

missPatterns: 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.

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

Details

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

See Also

aggr

Examples

# NOT RUN {
data(expenditures)
## set NA's artificial:
expenditures[expenditures < 300] <- NA
## detect the NA structure:
missPatterns(expenditures)

# }