Bar.Plot

data.table obtained with <code><a rd-options="" href="/link/Compute.Model?package=mau&version=0.1.2" data-mini-rdoc="mau::Compute.Model">Compute.Model</a></code>

model

the deep to navigate the model object a select the utilities

deep

colors

title

xlab

ylab

Create ggplot2 bar plots of the utilities at any level of the decision model

Provides functions for the creation, evaluation and test of decision models based in
Multi Attribute Utility Theory (MAUT). Can process and evaluate local risk aversion utilities
for a set of indexes, compute utilities and weights for the whole decision tree defining the
decision model and simulate weights employing Dirichlet distributions under addition constraints
in weights.

Pedro Guarderas

Decision Models with Multi Attribute Utility Theory

Felipe Aguirre

Julio Andrade

Daniel Lagos

Andrés Lopez

Nelson Recalde

Edison Salazar

Bar.Plot function

<dl><dt>model</dt>
<dd>data.table obtained with <code>Compute.Model</code></dd>
<dt>deep</dt>
<dd>the deep to navigate the model object a select the utilities</dd>
<dt>colors</dt>
<dd>a list of colors for the bars</dd>
<dt>title</dt>
<dd>title for the bar plot</dd>
<dt>xlab</dt>
<dd>label for horizontal axis</dd>
<dt>ylab</dt>
<dd>label for vertical axis</dd></dl>

Arguments

Pedro Guarderas
<a href="/link/pedro.felipe.guarderas%40gmail.com?package=mau&version=0.1.2" data-mini-rdoc="mau::pedro.felipe.guarderas@gmail.com">pedro.felipe.guarderas@gmail.com</a>

Author

Bar plot of utilities — Bar.Plot

<dl>

<dt>model</dt>
<dd>data.table obtained with <code>Compute.Model</code></dd>


<dt>deep</dt>
<dd>the deep to navigate the model object a select the utilities</dd>


<dt>colors</dt>
<dd>a list of colors for the bars</dd>


<dt>title</dt>
<dd>title for the bar plot</dd>


<dt>xlab</dt>
<dd>label for horizontal axis</dd>


<dt>ylab</dt>
<dd>label for vertical axis</dd>

</dl>

Pedro Guarderas
<a href='mailto:pedro.felipe.guarderas@gmail.com'>pedro.felipe.guarderas@gmail.com</a>

Bar.Plot: Bar plot of utilities

Description

Usage

Value

Arguments

Author

Examples