mice (version 2.7)

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 an

...

Additional parameters passed to 'expr'

Value

• 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.

References

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

See Also

mids, mira, pool, pool.compare, pool.r.squared

Examples

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)))