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mice (version 3.17.0)

with.mids: Evaluate an expression in multiple imputed datasets

Description

Performs a computation of each of imputed datasets in data.

Usage

# S3 method for mids
with(data, expr, ...)

Value

An object of S3 class mira

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 to evaluate for each imputed data set. Formula's containing a dot (notation for "all other variables") do not work.

...

Not used

Author

Karin Oudshoorn, Stef van Buuren 2009, 2012, 2020

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. tools:::Rd_expr_doi("10.18637/jss.v045.i03")

See Also

mids, mira, pool, D1, D3, pool.r.squared

Examples

Run this code
imp <- mice(nhanes2, m = 2, print = FALSE, seed = 14221)

# descriptive statistics
getfit(with(imp, table(hyp, age)))

# model fitting and testing
fit1 <- with(imp, lm(bmi ~ age + hyp + chl))
fit2 <- with(imp, glm(hyp ~ age + chl, family = binomial))
fit3 <- with(imp, anova(lm(bmi ~ age + chl)))

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