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Creates a where argument

Source: R/where.R
make.where.Rd

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)
#>     age   bmi   hyp   chl
#> 1 FALSE  TRUE  TRUE  TRUE
#> 2 FALSE FALSE FALSE FALSE
#> 3 FALSE  TRUE FALSE FALSE

# 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))
#>          term   estimate std.error statistic        df    p.value
#> 1 (Intercept) 142.067628 64.469297 2.2036479 1225.7065 0.02773453
#> 2         bmi   1.507060  2.344434 0.6428249 1047.5045 0.52047843
#> 3    age40-59  14.556536 19.438169 0.7488636 5486.1899 0.45397155
#> 4    age60-99  27.214603 23.548275 1.1556941 1570.7352 0.24798205
#> 5      hypyes   6.328866 21.026830 0.3009900  170.0233 0.76378986