Update: Statistical Analysis with R is now available!

I am excited to announce that I have submitted the entire first draft of my R Beginner’s Guide book, which is to be published through Packt. The tenth and final chapter was submitted a full month ahead of schedule. The printed book could become available in as little as three to four months.

Below is a list of the major topics covered in the R Beginner’s Guide.

• Understanding what R is, its benefits, and why to use it
• Downloading, installing, and running R
• Dissecting the anatomy of R
• Programming in R
• Handling external data
• Using variables
• Managing the R workspace and console
• Using multi-argument and variable-argument functions
• Creating predictive data models
• Assessing practical vs. statistical significance
• Regression modeling
• Creating custom functions
• Assessing the viability of predictions
• Organizing and communicating data analyses
• Generating, customizing, and exporting graphics
• Building custom visualizations
• Extending R via packages
• Taking advantage of electronic learning resources