Imputes the arithmetic mean of the observed data
mice.impute.mean(y, ry, x = NULL, ...)
Incomplete data vector of length n
Vector of missing data pattern (FALSE
=missing,
TRUE
=observed)
Matrix (n
x p
) of complete covariates.
Other named arguments.
A vector of length nmis
with imputations.
Imputing the mean of a variable is almost never appropriate. See Little and Rubin (1987).
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/
Little, R.J.A. and Rubin, D.B. (1987). Statistical Analysis with Missing Data. New York: John Wiley and Sons.