girder_experiment

An experiment (Narayanan and Adorisio, 1983) to compare four methods for predicting the shear strength for steel plate girders.
Data for nine girders in the form of the ratio of predicted to observed load for these procedures are given.
Each of the four methods was used to predict the strength of each of the nine girders.

datasets

Generate commonly used plots in the field of design of experiments using 'ggplot2'.
'ggDoE' currently supports the following plots: alias matrix, box cox transformation, boxplots, lambda plot,
regression diagnostic plots, half normal plots, main and interaction effect plots for factorial designs,
contour plots for response surface methodology, Pareto plot, and two dimensional projections of a latin hypercube design.

Jose Toledo Luna

ggDoE

Modern Graphs for Design of Experiments with 'ggplot2'

girder_experiment function

A tibble with 36 rows and 3 variables<dl>
<dt>girders</dt>
<dd>A factor denoting one of the nine girders</dd><dt>method</dt>
<dd>A factor denoting one of the four methods for predicting the shear strength for steel plate girders: Aarau, Karlsruhe,Lehigh, Cardiff</dd><dt>response</dt>
<dd>The shear strength for steel plate girders</dd>
</dl>

Format

Girder experiment — girder_experiment

A tibble with 36 rows and 3 variables<dl>
<dt>girders</dt>
<dd>A factor denoting one of the nine girders</dd>

<dt>method</dt>
<dd>A factor denoting one of the four methods for predicting the shear strength for steel plate girders: Aarau, Karlsruhe,Lehigh, Cardiff</dd>

<dt>response</dt>
<dd>The shear strength for steel plate girders</dd>


</dl>

girder_experiment: Girder experiment

Description

Usage

Arguments

Format

Examples