labcomp dataset

Inter-lab study

1.1

data

Inter-lab study

Format

A data frame with 28 observations on the following 3 variables.

  • lab: a factor with levels A, B, C

     and `D`
    
  • pt1: a numeric vector

  • pt5: a numeric vector

Details

This study was an "inter-lab" study to investigate measurements taken on a product at various facilities. In particular, this company has a research lab, a pilot line lab, and multiple labs at plants. When characterizing products and especially in trouble shooting performance issues samples may be tested at multiple facilities and it is important to know if there is an impact of location on the resulting measurements. For this study material was sent to each lab and tested 7 times by two testing methods, a 1-point method at all labs and a 5-point method at two of the labs.

References

Peter R. Nelson, Marie Coffin and Karen A. F. Copeland (2003), Introductory Statistics for Engineering Experimentation, Elsevier. (Appendix A)

Examples

str(labcomp)
  • Maintainer: Douglas Bates
  • License: GPL (>= 2)
  • Last published: 2012-10-29

About the dataset

  • Number of rows: 28
  • Number of columns: 3
  • Class: data.frame

Column names and types

  • lab:factor
  • pt1:numeric
  • pt5:factor