miMeanSEMatrix(object, columns = 1:2, ...)
mi object whose imputations are
matrices with at least two columns, one of which contains
parameter estimates and the other containing standard errors for
those parameters.
miMeanSEDefault,
including
df and
n, for degrees of freedom and sample size,
respectively.
This function extracts data from
object, then
calls
miMeanSEDefault to perform calculations.
If
df and
n
are not supplied (or the corresponding
elements of
object do not exist) then some components of the
output will contain missing values.
fit <- miEval(lm(chol14~., data = cholesterolImpExample)) sumfit <- miEval(summary(fit)) coefs <- miEval(coef(sumfit)) coefs[[1]] # note estimates and std errors # pass matrices, cols 1:2 are estimate & std err miMeanSEMatrix(coefs) miMeanSEMatrix(coefs, df = nrow(cholesterolImpExample)-3)