singleimputation

A data frame whose missing values need to be
  imputed. The last column should be the row number passed
  by <code><a href="/link/imputation?package=MissingDataGUI&version=0.1-2" rd-options="" data-mini-rdoc="MissingDataGUI::imputation">imputation</a></code>.

The imputation method selected from the
  missing data GUI. Must be one of 'Below
  10  neighbor','Multiple Imputation','Mode'.

method

A vector of the classes of dat. The length
  is the same as the number of columns of dat. The value
  should be from "integer", "numeric", "factor", and
  "character".

vartype

A vector of categorical variables. There are
  no missing values in those variables.

cond

This function is to impute missing data by one of the
  eight methods without the condition. When the condtions
  are imported, they are then romoved from the data frame,
  and then the imputation will be applied without
  conditions. Details of the eight methods can be found in
  <code><a href="/link/imputation?package=MissingDataGUI&version=0.1-2" rd-options="" data-mini-rdoc="MissingDataGUI::imputation">imputation</a></code>.

This package provides numeric and graphical summaries for
        the missing values from both discrete and continuous variables.
        A variety of imputation methods are applied, including
        univariate imputations like fixed or random values, multiple
        imputations based on other packages, and imputations
        conditioned on a categorical variable.

singleimputation: Impute the Data Without Consideration of Conditions.

Description

Usage

Arguments

Value

Details