welding

This is a highly fractionated two-level factorial design employed as a screening design
in an off-line welding experiment performed by the National Railway Corporation of Japan.
There were 16 runs and 9 experimental factors. The response variable is the observed
tensile strength of the weld, one of several quality characteristics measured. All other
variables are at plus and minus levels.

datasets

Miscellaneous biostatistical modelling functions.

Gordon Smyth

statmod

Statistical Modelling

welding function

A data frame containing the variables.
All the explanatory variables are numeric with two levels, <code>-1</code> and <code>1</code>.
  <item>Rods</item>{Kind of welding rods}
  <item>Drying</item>{Period of drying}
  <item>Material</item>{Welded material}
  <item>Thickness</item>{Thickness}
  <item>Angle</item>{Angle}
  <item>Opening</item>{Opening}
  <item>Current</item>{Current}
  <item>Method</item>{Welding method}
  <item>Preheating</item>{Preheating}
  <item>Strength</item>{Tensile strength of the weld in kg/mm. The response variable.}

format

<url>http://www.statsci.org/data/general/welding.html</url>

welding: Data: Tensile Strength of Welds

Description

Usage

Arguments

format

source

References