Appendix 3 Curated Online Resources

These books, blogs, and other resources were all useful to me as I was learning to either do or teach various components of the material presented in this course. Thanks to the online community for developing such great content!

13.10 Plots and visual data exploration

• Plottting univariate distributions for many X at once

• Plotting Y against many X individually at once

13.11 Data wrangling/Tidyverse and advanced programming concepts

• Details about using pipes and the ‘.’ with tidyverse

• Using Bang Bang to support non-standard evaluation in tidyverse.

• More Tidy evaluation for non-standard evaluation in the tidyverse

• Advanced R by Hadley Wickham. This online book is designed primarily for R users who want to improve their programming skills and understanding of the language.

13.12 Statistical learning algorithms

• Naive Bayes Classifier

• Linear and Quadratic Discriminant Analyses

13.13 Performance Metrics

• Kappa

13.14 Caret

• Caret package book by developer Max Kuhn

• Introductory demonstration of using caret by Rebecca Barter

• Another demonstration of caret by Selva Prabhakaran

• Caret package cheatsheet for machine learning

13.15 R Markdown

• Commons mathematical symbols and notation

• R Markdown Cheatsheet

13.16 Cheatsheets

• R Markdown

• Forcats for factors

• Dates and Times with lubridate package

• String manipulation with stringr

• Data transformation with dplyr

• Data visualization with ggplot2

• Regular expressions for string pattern matching

• Caret package for machine learning