Evaluate an expression in multiple imputed datasets
Performs a computation of each of imputed datasets in data.
## S3 method for class 'mids' with(data, expr, ...)
data |
An object of type |
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 |
An object of S3 class mira
Version 3.11.10 changed to tidy evaluation on a quosure. This change
should not affect any code that worked on previous versions.
It turned out that the latter statement was not true (#292).
Version 3.12.2 reverts to the old with() function.
Karin Oudshoorn, Stef van Buuren 2009, 2012, 2020
van Buuren S and 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/
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)))
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.