md.pairs {mice} | R Documentation |
Number of observations per variable pair.
md.pairs(data)
data |
A data frame or a matrix containing the incomplete data.
Missing values are coded as |
The four components in the output value is have the following interpretation:
rr
response-response, both variables are observed
rm
response-missing, row observed, column missing
mr
missing -response, row missing, column observed
mm
missing -missing, both variables are missing
A list of four components named rr
, rm
, mr
and mm
.
Each component is square numerical matrix containing the number observations
within four missing data pattern.
Stef van Buuren, Karin Groothuis-Oudshoorn, 2009
Van Buuren, S., Groothuis-Oudshoorn, K. (2011).
mice
: Multivariate Imputation by Chained Equations in R
.
Journal of Statistical Software, 45(3), 1-67.
http://www.jstatsoft.org/v45/i03/
pat <- md.pairs(nhanes) pat # show that these four matrices decompose the total sample size # for each pair pat$rr + pat$rm + pat$mr + pat$mm # percentage of usable cases to impute row variable from column variable round(100*pat$mr/(pat$mr+pat$mm))