plot_layout

A numeric vector which consists of lifetime data. <code>x</code> is used to
specify the grid of the plot.

Supposed distribution of the random variable.

distribution

A character string which is assigned to the main title
of the plot.

title_main

A character string which is assigned to the title of the
x axis.

title_x

A character string which is assigned to the title of the
y axis.

title_y

Package, which is used for generating the plot output.

plot_method

This function is used to create the layout of a probability plot. It is
called inside of <code>plot_prob</code> to determine the appearance of the
grid with respect to the given characteristic <code>x</code>.

internal

Provides statistical methods and visualizations that are often
used in reliability engineering. Comprises a compact and easily
accessible set of methods and visualization tools that make the
examination and adjustment as well as the analysis and interpretation
of field data (and bench tests) as simple as possible.
Non-parametric estimators like Median Ranks,
Kaplan-Meier (Abernethy, 2006, <ISBN:978-0-9653062-3-2>),
Johnson (Johnson, 1964, <ISBN:978-0444403223>), and Nelson-Aalen
for failure probability estimation within samples that contain
failures as well as censored data are included.
The package supports methods like Maximum Likelihood and Rank Regression,
(Genschel and Meeker, 2010, <DOI:10.1080/08982112.2010.503447>)
for the estimation of multiple parametric lifetime distributions,
as well as the computation of confidence intervals of quantiles and
probabilities using the delta method related to Fisher's confidence
intervals (Meeker and Escobar, 1998, <ISBN:9780471673279>) and the
beta-binomial confidence bounds.
If desired, mixture model analysis can be done with segmented regression
and the EM algorithm.
Besides the well-known Weibull analysis, the package also contains
Monte Carlo methods for the correction and completion of imprecisely
recorded or unknown lifetime characteristics.
(Verband der Automobilindustrie e.V. (VDA), 2016, <ISSN:0943-9412>).
Plots are created statically ('ggplot2') or interactively ('plotly') and
can be customized with functions of the respective visualization package.
The graphical technique of probability plotting as well as the addition
of regression lines and confidence bounds to existing plots are
supported.

Hensel Tim-Gunnar

weibulltools

Statistical Methods for Life Data Analysis

Tim-Gunnar Hensel

David Barkemeyer

plot_layout function

<dl><dt>x</dt>
<dd>A numeric vector which consists of lifetime data. <code>x</code> is used to
specify the grid of the plot.</dd>
<dt>distribution</dt>
<dd>Supposed distribution of the random variable.</dd>
<dt>title_main</dt>
<dd>A character string which is assigned to the main title
of the plot.</dd>
<dt>title_x</dt>
<dd>A character string which is assigned to the title of the
x axis.</dd>
<dt>title_y</dt>
<dd>A character string which is assigned to the title of the
y axis.</dd>
<dt>plot_method</dt>
<dd>Package, which is used for generating the plot output.</dd></dl>

Arguments

Layout of the Probability Plot — plot_layout

<dl>

<dt>x</dt>
<dd>A numeric vector which consists of lifetime data. <code>x</code> is used to
specify the grid of the plot.</dd>


<dt>distribution</dt>
<dd>Supposed distribution of the random variable.</dd>


<dt>title_main</dt>
<dd>A character string which is assigned to the main title
of the plot.</dd>


<dt>title_x</dt>
<dd>A character string which is assigned to the title of the
x axis.</dd>


<dt>title_y</dt>
<dd>A character string which is assigned to the title of the
y axis.</dd>


<dt>plot_method</dt>
<dd>Package, which is used for generating the plot output.</dd>

</dl>

plot_layout: Layout of the Probability Plot

Description

Usage

Value

Arguments