Strength Data Set of a Girder Experiment

Description

The shear strength of steel plate girders need to be modeled as a function of the four methods and nine girders.

Usage

data(girder)

Format

A data frame with 9 observations on the following 5 variables.

Girder

The row names, varying from S1.1 to S4.2, represent the nine type of girders, S1.1 S1.2 S2.1 S2.2 S3.1 S3.2 S4.1 S4.2 S5.1

Aarau

one of the four methods of preparation of the steel plates

Karisruhe

one of the four methods of preparation of the steel plates

Lehigh

one of the four methods of preparation of the steel plates

Cardiff

one of the four methods of preparation of the steel plates

References

Wu, C.F.J. and M. Hamada (2000-9). Experiments: Planning, Analysis, and Parameter Design Optimization, 2e. J. Wiley.

Examples

data(girder)
girder
boxplot(girder[,2:5])

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(ACSWR)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ACSWR/girder.Rd_%03d_medium.png", width=480, height=480)
> ### Name: girder
> ### Title: Strength Data Set of a Girder Experiment
> ### Aliases: girder
> ### Keywords: median polish
> 
> ### ** Examples
> 
> data(girder)
> girder
  Girder Aarau Karisruhe Lehigh Cardiff
1   S1.1 0.772     1.186  1.061   1.025
2   S2.1 0.744     1.151  0.992   0.905
3   S3.1 0.767     1.322  1.063   0.930
4   S4.1 0.745     1.339  1.062   0.899
5   S5.1 0.725     1.200  1.065   0.871
6   S1.2 0.844     1.402  1.178   1.004
7   S2.2 0.831     1.365  1.037   0.853
8   S3.2 0.867     1.537  1.086   0.858
9   S4.2 0.859     1.559  1.052   0.805
> boxplot(girder[,2:5])
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>