Presenting a practitioner's guide to capabilities and best practices of quality control systems
using the R programming language this volume emphasizes accessibility and ease-of-use through
detailed explanations of R code as well as standard statistical methodologies. In the interest
of reaching the widest possible audience of quality-control professionals and statisticians
examples throughout are structured to simplify complex equations and data structures and to
demonstrate their applications to quality control processes such as ISO standards. The volume
balances its treatment of key aspects of quality control statistics and programming in R
making the text accessible to beginners and expert quality control professionals alike. Several
appendices serve as useful references for ISO standards and common tasks performed while
applying quality control with R.
