testdata

2 numeric, 2 binary, 2 nominal and 2 mixed (semi-continous) variables

datasets

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

Alexander Kowarik

Andreas Alfons

Gregor de Cillia

Bernd Prantner

testdata function

The format is: List of 4<ul>
<li><code>$wna</code> : a <code>data.frame</code> with 500 obs. of 8 variables:<ul>
<li><code>x1</code>: numeric 10.87 9.53 7.83 8.53 8.67 ...</li>
<li><code>x2</code>: numeric 10.9 9.32 7.68 8.2 8.41 ... ..</li>
<li><code>c1</code>: Factor w/ 4 levels "a","b","c","d": 3 2 2 1 2 2 1 3 3 2 ...</li>
<li><code>c2</code>: Factor w/ 4 levels "a","b","c","d": 2 3 2 2 2 2 2 4 2 2 ...</li>
<li><code>b1</code>: Factor w/ 2 levels "0","1": 2 2 1 2 1 2 1 2 1 1 ...</li>
<li><code>b2</code>: Factor w/ 2 levels "0","1": 2 2 1 1 1 1 1 2 2 2 ...</li>
<li><code>m1</code>: numeric 0 8.29 9.08 0 0 ...</li>
<li><code>m2</code>: numeric 10.66 9.39 7.8 8.11 7.33 ...</li>
</ul></li>
<li><code>$wona</code> : a `data.frame`` with 500 obs. of 8 variables:<ul>
<li><code>x1</code>: numeric 10.87 9.53 7.83 8.53 8.67 ...</li>
<li><code>x2</code>: numeric 10.9 9.32 7.68 8.2 8.41 ...</li>
<li><code>c1</code>: Factor w/ 4 levels "a","b","c","d": 3 2 2 1 2 2 1 3 3 2 ...</li>
<li><code>c2</code>: Factor w/ 4 levels "a","b","c","d": 2 3 2 2 2 2 2 4 2 2 ...</li>
<li><code>b1</code>: Factor w/ 2 levels "0","1": 2 2 1 2 1 2 1 2 1 1 ...</li>
<li><code>b2</code>: Factor w/ 2 levels "0","1": 2 2 1 1 1 1 1 2 2 2 ...</li>
<li><code>m1</code>: numeric 0 8.29 9.08 0 0 ...</li>
<li><code>m2</code>: numeric 10.66 9.39 7.8 8.11 7.33 ...</li>
</ul></li>
<li><code>$mixed</code>: <code>c("m1", "m2")</code></li>
<li><code>$outlierInd</code>: `NULL``</li>
</ul>

Format

Simulated data set for testing purpose — testdata

Simulated data set for testing purpose

testdata: Simulated data set for testing purpose

Description

Arguments

Format

Examples