Chemometrics with R

Chemometrics with R is a textbook developed for the LibreText project that provides an introduction to chemometrics suitable for the undergraduate chemistry curriculum at the junior or senior level. Much of this textbook's content, including many of the examples and exercises, were developed to support Chem 351: Chemometrics, a course that has been part of the analytical curriculum at DePauw University since 2001 and that has been grounded in R since 2005. An outline of the textbook's chapters is provided below; you can access the textbook online using this link.

• Chapter 1: R and RStudio

• Chapter 2: Types of Data

• Chapter 3: Visualizing Data

• Chapter 4: Summarizing Data

• Chapter 5: The Distribution of Data

• Chapter 6: Uncertainty of Data

• Chapter 7: Testing the Significance of Data

• Chapter 8: Calibrating Data

• Chapter 9: Optimizing Data

• Chapter 10: Cleaning Up Data

• Chapter 11: Finding Structure in Data

• Chapter 12: Appendices

• Chapter 13: Resources