plot-TdistributionH

plot,TdistributionH-method

A plot function for a <code>TdistributionH</code> object. The function returns a representation
of the histogram.

In the framework of Symbolic Data Analysis, a relatively new
approach to the statistical analysis of multi-valued data, we consider
histogram-valued data, i.e., data described by univariate histograms. The
methods and the basic statistics for histogram-valued data are mainly based
on the L2 Wasserstein metric between distributions, i.e., the Euclidean metric
between quantile functions. The package contains unsupervised classification
techniques, least square regression and tools for histogram-valued data and for
histogram time series. An introducing paper is Irpino A. Verde R. (2015) <doi: 10.1007/s11634-014-0176-4>.

Antonio Irpino

HistDAWass

Histogram-Valued Data Analysis

plot-TdistributionH function

<dl><dt>x</dt>
<dd>a <code>TdistributionH</code> object</dd>
<dt>type</dt>
<dd>(optional) a string describing the type of plot, default="HISTO". Other allowed types are
 "CDF"=Cumulative distribution function, "QF"= quantile function, "DENS"=a density approximation,
 "HBOXPLOT"=horizontal boxplot, "VBOXPLOT"= vertical boxplot,</dd>
<dt>col</dt>
<dd>(optional) a string the color of the plot, default="green".</dd>
<dt>border</dt>
<dd>(optional) a string the color of the border of the plot, default="black".</dd></dl>

Arguments

plot for a TdistributionH object — plot-TdistributionH

<dl>

<dt>x</dt>
<dd>a <code>TdistributionH</code> object</dd>


<dt>type</dt>
<dd>(optional) a string describing the type of plot, default="HISTO". Other allowed types are
 "CDF"=Cumulative distribution function, "QF"= quantile function, "DENS"=a density approximation,
 "HBOXPLOT"=horizontal boxplot, "VBOXPLOT"= vertical boxplot,</dd>


<dt>col</dt>
<dd>(optional) a string the color of the plot, default="green".</dd>


<dt>border</dt>
<dd>(optional) a string the color of the border of the plot, default="black".</dd>

</dl>

plot-TdistributionH: plot for a TdistributionH object

Description

Usage

Arguments