Description Usage Arguments Value Warning References See Also
Imputes the arithmetic mean of the observed data
1 2 | mice.impute.ds.mean(y, ry, x = NULL, wy = NULL, datasources = NULL,
...)
|
y |
Vector to be imputed |
ry |
Logical vector of length |
x |
Numeric design matrix with |
wy |
Logical vector of length |
datasources |
A list with cluster information, usally the result
of a call to |
... |
Other named arguments. |
Vector with imputed data, same type as y
, and of length
sum(wy)
Imputing the mean of a variable is almost never appropriate. See Little and Rubin (2002, p. 61-62) or Van Buuren (2012, p. 10-11)
Van Buuren, S., Groothuis-Oudshoorn, K. (2011). mice
:
Multivariate Imputation by Chained Equations in R
. Journal of
Statistical Software, 45(3), 1-67.
https://www.jstatsoft.org/v45/i03/
Little, R.J.A. and Rubin, D.B. (2002). Statistical Analysis with Missing Data. New York: John Wiley and Sons.
Van Buuren, S. (2018). Flexible Imputation of Missing Data. Second Edition. Chapman & Hall/CRC. Boca Raton, FL.
Other univariate imputation functions: mice.impute.ds.norm
,
mice.impute.ds.pmm
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