Andreas Wolf wrote:
is there a smart way of determining the number of pairwise present data
in a data matrix with missings (maybe as a by-product of some
statistical function?)
so far, i used several loops like:
for (column1 in 1:99) {
for (column2 in 2:100) {
for (row in 1:500) {
if (!is.na(matrix[row,column1]) & !is.na(matrix[row,column2])) {
pairs[col1,col2] <- pairs[col1,col2]+1
}
}
}
}
but this seems neither the most elegant nor an utterly fast solution.
thanks for suggestions.
andreas wolf
library(Hmisc)
n <- naclus(mydataframe)
plot(n) # show pairwise missingness in a dendogram
naplot(n) # show more details in multiple plots
Frank
--
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University
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