dataHamadaWu

A cast fatigue experiment with 12 runs and 7 factors was originally studied
by Hunter et al. (1982), and was later revisited by Hamada and Wu (1992)
and Phoa et al. (2009), among others. It is widely accepted for these data that
V6 (F) and interaction V6:V7 (F:G) are active effects, with interaction of
V1:V5 (A:E) possibly being active as well.

datasets

The method aims to identify important factors in screening experiments by aggregation over random models as studied in Singh and Stufken (2022) <doi:10.48550/arXiv.2205.13497>. This package provides functions to run the Gauss-Dantzig selector on screening experiments when interactions may be affecting the response. Currently, all functions require each factor to be at two levels coded as +1 and -1.

Rakhi Singh

GDSARM

Gauss - Dantzig Selector: Aggregation over Random Models

John Stufken

dataHamadaWu function

A data frame with 12 rows and 8 columns:<dl>
<dt>V1</dt>
<dd>Factor A</dd><dt>V2</dt>
<dd>Factor B</dd><dt>V3</dt>
<dd>Factor C</dd><dt>V4</dt>
<dd>Factor D</dd><dt>V5</dt>
<dd>Factor E</dd><dt>V6</dt>
<dd>Factor F</dd><dt>V7</dt>
<dd>Factor G</dd><dt>V8</dt>
<dd>Response</dd>
</dl>

Format

Cast fatigue experiment of Hunter et al. (1982) — dataHamadaWu

A data frame with 12 rows and 8 columns:<dl>
<dt>V1</dt>
<dd>Factor A</dd>

<dt>V2</dt>
<dd>Factor B</dd>

<dt>V3</dt>
<dd>Factor C</dd>

<dt>V4</dt>
<dd>Factor D</dd>

<dt>V5</dt>
<dd>Factor E</dd>

<dt>V6</dt>
<dd>Factor F</dd>

<dt>V7</dt>
<dd>Factor G</dd>

<dt>V8</dt>
<dd>Response</dd>


</dl>

dataHamadaWu: Cast fatigue experiment of Hunter et al. (1982)

Description

Usage

Arguments

Format

Examples