plot.bs_xmin

plot.bs_p_xmin

plot.compare_distributions

A simple wrapper around the plot function to aid with visualising the bootstrap results.
The values plotted are returned as an invisible object.

An implementation of maximum likelihood estimators
for a variety of heavy tailed distributions, including both the
discrete and continuous power law distributions. Additionally, a
goodness-of-fit based approach is used to estimate the lower cut-off
for the scaling region.

Colin Gillespie

poweRlaw

Analysis of Heavy Tailed Distributions

plot.bs_xmin function

<dl><dt>x</dt>
<dd>an object of class <code>bs_xmin</code> or <code>bs_p_xmin</code></dd>
<dt>trim</dt>
<dd>When plotting the cumulative means and standard deviation,
the first trim percentage of values are not displayed. default <code>trim=0.1</code></dd>
<dt>...</dt>
<dd>graphics parameters to be passed to the plotting routines.</dd></dl>

Arguments

Plot methods for bootstrap objects — plot.bs_xmin

<dl>

<dt>x</dt>
<dd>an object of class <code>bs_xmin</code> or <code>bs_p_xmin</code></dd>


<dt>trim</dt>
<dd>When plotting the cumulative means and standard deviation,
the first trim percentage of values are not displayed. default <code>trim=0.1</code></dd>


<dt>...</dt>
<dd>graphics parameters to be passed to the plotting routines.</dd>

</dl>

plot.bs_xmin: Plot methods for bootstrap objects

Description

Usage

Arguments