A small subsample of the Tropical Atmosphere Ocean (TAO) project data,
derived from the <code>GGOBI</code> project.

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

Wolfgang Rannetbauer

tao function

A data frame with 736 observations on the following 8 variables.<dl>
<dt>Year</dt>
<dd>a numeric vector</dd>
 <dt>Latitude</dt>
<dd>a
numeric vector</dd>
 <dt>Longitude</dt>
<dd>a numeric vector</dd><dt>Sea.Surface.Temp</dt>
<dd>a numeric vector</dd>
 <dt>Air.Temp</dt>
<dd>a
numeric vector</dd>
 <dt>Humidity</dt>
<dd>a numeric vector</dd><dt>UWind</dt>
<dd>zonal wind, i.e. latitude-parallel wind</dd>
 <dt>VWind</dt>
<dd>meridional wind, i.e. longitude-parallel wind</dd>
 
</dl>

Format

Tropical Atmosphere Ocean (TAO) project data — tao

A data frame with 736 observations on the following 8 variables.<dl>
<dt>Year</dt>
<dd>a numeric vector</dd>
 <dt>Latitude</dt>
<dd>a
numeric vector</dd>
 <dt>Longitude</dt>
<dd>a numeric vector</dd>

<dt>Sea.Surface.Temp</dt>
<dd>a numeric vector</dd>
 <dt>Air.Temp</dt>
<dd>a
numeric vector</dd>
 <dt>Humidity</dt>
<dd>a numeric vector</dd>

<dt>UWind</dt>
<dd>zonal wind, i.e. latitude-parallel wind</dd>
 <dt>VWind</dt>
<dd>meridional wind, i.e. longitude-parallel wind</dd>
 
</dl>

tao: Tropical Atmosphere Ocean (TAO) project data

Description

Arguments

Format

Details

Examples