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