purity dataset

Purity of product from a filtration process

1.1

data

Purity of product from a filtration process

Format

A data frame with 12 observations on the following 4 variables.

  • tech: indicator factor for technician
  • fac1: a factor with 3 levels
  • fac2: a factor with 2 levels
  • purity: a response factor

Details

This experiment was run by two technicians to study the impact of two process factors on the purity of the product after filtration.

References

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

Examples

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

About the dataset

  • Number of rows: 12
  • Number of columns: 4
  • Class: data.frame

Column names and types

  • tech:factor
  • fac1:logical
  • fac2:logical
  • purity:logical