maxCat

<p>numeric vector providing weights for the observations in x</p>

weights

<p>The function maxCat chooses the level
with the most occurrences and random if the maximum is not unique.</p>

New tools for the visualization of missing and/or imputed values
are introduced, which can be used for exploring the data and the structure of
the missing and/or imputed values. Depending on this structure of the missing
values, the corresponding methods may help to identify the mechanism generating
the missing values and allows to explore the data including missing values.
In addition, the quality of imputation can be visually explored using various
univariate, bivariate, multiple and multivariate plot methods. A graphical user
interface available in the separate package VIMGUI allows an easy handling of
the implemented plot methods.

Matthias Templ

Visualization and Imputation of Missing Values

maxCat: Aggregation function for a factor variable

Description

Usage

Arguments