missMethods (version 0.4.0)

impute_hot_deck_in_classes: Hot deck imputation in imputation classes

Description

Impute missing values in a data frame or a matrix using a hot deck within imputation classes

Usage

impute_hot_deck_in_classes(
  ds,
  cols_class,
  type = "cols_seq",
  breaks = Inf,
  use_quantiles = FALSE,
  min_objs_in_class = 1,
  min_obs_comp = 0,
  min_obs_per_col = 1,
  donor_limit = Inf,
  add_imputation_classes = FALSE
)

Value

An object of the same class as ds with imputed missing values.

Arguments

ds

A data frame or matrix with missing values.

cols_class

Columns that are used for constructing the imputation classes.

type

The type of hot deck (for details, see impute_sRHD()).

breaks

Number of intervals / levels a column is broken into (see cut(), which is used internally for cutting numeric columns). If breaks = Inf (the default), every unique value of a column can be in a separate class (if no other restrictions apply).

use_quantiles

Should quantiles be used for cutting numeric vectors? Normally, cut() divides the range of an vector into equal spaced intervals. If use_quantiles = TRUE, the classes will be of roughly equal content.

min_objs_in_class

Minimum number of objects (rows) in an imputation class.

min_obs_comp

Minimum number of completely observed objects (rows) in an imputation class.

min_obs_per_col

Minimum number of observed values in every column of an imputation class.

donor_limit

Minimum odds between incomplete and complete values in a column, if type = cols_seq. If type = sim_comp, minimum odds between incomplete and complete rows. For type = sim_part the donor limit option is not implemented and donor_limit should be Inf.

add_imputation_classes

Should imputation classes be added as attributes to the imputed dataset?

Details

This function is a combination of impute_in_classes() and impute_sRHD(). It applies impute_sRHD() inside of imputation classes (adjustment cells), which are constructed via impute_in_classes(). More details can be found in these two functions.

References

Andridge, R.R. and Little, R.J.A. (2010), A Review of Hot Deck Imputation for Survey Non-response. International Statistical Review, 78: 40-64. doi:10.1111/j.1751-5823.2010.00103.x

See Also

impute_in_classes(), which is used for the construction of the imputation classes.

impute_sRHD(), which is used for the imputation.

Examples

impute_hot_deck_in_classes(data.frame(
  X = c(rep("A", 10), rep("B", 10)),
  Y = c(rep(NA, 5), 106:120)
),
"X",
donor_limit = 1
)