mice.impute.mean {mice}R Documentation

Elementary Imputation Method: Simple Mean Imputation

Description

Imputes the arithmetic mean of the observed data

Usage

    mice.impute.mean(y, ry, x=NULL)

Arguments

y Incomplete data vector of length n
ry Vector of missing data pattern (FALSE=missing, TRUE=observed)
x Matrix (n x p) of complete covariates.


value{ A vector of length nmis with imputations.}

Value

A vector of length nmis with imputations.

Warning

Imputing the mean of a variable rarely produces appropriate inferences. See Little and Rubin (1987).

Author(s)

Stef van Buuren, Karin Oudshoorn, 2000

References

Van Buuren, S. & Oudshoorn, C.G.M. (2000). Multivariate Imputation by Chained Equations: MICE V1.0 User's manual. Report PG/VGZ/00.038, TNO Prevention and Health, Leiden.

Little, R.J.A. and Rubin, D.B. (1987). Statistical Analysis with Missing Data. New York: John Wiley and Sons.

See Also

mice, mean


[Package mice version 1.15 Index]