name.formulasDS: Name formula list elements

In stefvanbuuren/dsMiceClient: Distributed Multiple Imputations

Description

This helper function names any unnamed elements in the formula list. This is a convenience function.

Usage

name.formulasDS(formulas, prefix = "F")

Arguments

prefix

A character vector of length 1 with the prefix to be using for naming any unnamed blocks with two or more variables.

Details

This function will name any unnamed list elements specified in the optional argument formula. Unnamed formula's consisting with just one response variable will be named after this variable. Unnamed formula's containing more than one variable will be named by the prefix argument, padded by an integer sequence stating at 1.

Value

Named list of formulas

See Also

mice

Examples

# fully conditionally specified main effects model
form1 <- list(bmi ~ age + chl + hyp, 
              hyp ~ age + bmi + chl,
              chl ~ age + bmi + hyp)
form1 <- name.formulas(form1)
imp1 <- mice(nhanes, formulas = form1, print = FALSE, m = 1, seed = 12199)

# same model using dot notation
form2 <- list(bmi ~ ., hyp ~ ., chl ~ .)
form2 <- name.formulas(form2)
imp2 <- mice(nhanes, formulas = form2, print = FALSE, m = 1, seed = 12199)
identical(complete(imp1), complete(imp2))

# same model using repeated multivariate imputation
form3 <- name.blocks(list(all = bmi + hyp + chl ~ .))
imp3 <- mice(nhanes, formulas = form3, print = FALSE, m = 1, seed = 12199)
cmp3 <- complete(imp3)
identical(complete(imp1), complete(imp3))

# same model using predictorMatrix
imp4 <- mice(nhanes, print = FALSE, m = 1, seed = 12199, auxiliary = TRUE)
identical(complete(imp1), complete(imp4))

# different model: multivariate imputation for chl and bmi
form5 <- list(chl + bmi ~ ., hyp ~ bmi + age)
form5 <- name.formulas(form5)
imp5 <- mice(nhanes, formulas = form5, print = FALSE, m = 1, seed = 71712)

stefvanbuuren/dsMiceClient documentation built on June 27, 2019, 6:15 p.m.