with.mids: Evaluate an expression in multiple imputed datasets

Description

Performs a computation of each of imputed datasets in data.

Usage

## S3 method for class 'mids':
with(data, expr, \dots)

Arguments

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 <

...

Additional parameters passed to 'expr'

Value

callThe call that created the object.
call1The call that created the mids object that was used in call.
nmisAn array containing the number of missing observations per column.
analysesA list of m components containing the individual fit objects from each of the m complete data analyses.
formulaThe formula of the call that created the object.

References

van Buuren S and 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/

Examples

Run this code

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)))

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