make.where: Creates a 'where' argument

In mice: Multivariate Imputation by Chained Equations

Creates a where argument

Description

This helper function creates a valid where matrix. The where matrix is an argument to the mice function. It has the same size as data and specifies which values are to be imputed (TRUE) or nor (FALSE).

Usage

make.where(data, keyword = c("missing", "all", "none", "observed"))

Arguments

data	A data.frame with the source data
keyword	An optional keyword, one of "missing" (missing values are imputed), "observed" (observed values are imputed), "all" and "none". The default is keyword = "missing"

Value

A matrix with logical

See Also

make.blocks, make.predictorMatrix

Examples

head(make.where(nhanes), 3)

# create & analyse synthetic data
where <- make.where(nhanes2, "all")
imp <- mice(nhanes2,
  m = 10, where = where,
  print = FALSE, seed = 123
)
fit <- with(imp, lm(chl ~ bmi + age + hyp))
summary(pool.syn(fit))

mice documentation built on June 8, 2025, 11:31 a.m.