with.mids {mice} | R Documentation |
Performs a computation of each of imputed datasets in data.
## S3 method for class 'mids': with(data, expr, ...)
data |
An object of type mids , which stands for 'multiply imputed data set', typically
created by a call to function mice() . |
expr |
An expression with a formula object, with the response on the left of
a ~ operator, and the
terms, separated by + operators, on the right. See the documentation
of lm and formula for details. |
... |
Additional parameters passed to expr |
call |
The call that created the object. |
call1 |
The call that created the mids object that was used in call . |
nmis |
An array containing the number of missing observations per column. |
analyses |
A list of m components containing the individual fit objects from each of the m complete data analyses. |
formula |
The formula of the call that created the object. |
Karin Oudshoorn, 2009
Van Buuren, S., Groothuis-Oudshoorn, K. (2009) MICE: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software, forthcoming. http://www.stefvanbuuren.nl/publications/MICE in R - Draft.pdf
lm.mids
, glm.mids
, mids
, mira
,
pool
, pool.compare
, pool.r.squared
imp <- mice(nhanes2) fit1 <- with(data=imp,exp=lm(bmi~age+hyp+chl)) fit2 <- with(data=imp,exp=glm(hyp~age+bmi+chl,family=binomial)) anova.imp <- with(data=imp,exp=anova(lm(bmi~age+hyp+chl)))