R Beginner’s Guide Book Update 7/19/2010

July 19, 2010

(This article was first published on R Tutorial Series, and kindly contributed to R-bloggers)

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

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