missing or zero pattern structure.
Analysis of the missing or the zero patterns structure of a data set.
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
data(expenditures) ## set NA's artificial: expenditures[expenditures < 300] <- NA ## detect the NA structure: missPatterns(expenditures)
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