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