Even if you have no programming experience and little more than a basic understanding of math, The Book of R, 2nd Edition will teach you everything you need to know to use R effectively in statistical analysis.

You will start with the fundamentals, such as how to handle data and write simple programs, then move on to more advanced topics like generating statistical summaries of your data, conducting statistical tests, and creating models. You will also learn how to produce impressive data visualizations using R's graphics tools and contributed packages, such as ggplot2 and ggvis, as well as interactive 3D visualizations with the rgl package.

Over 30 practical exercises (with downloadable solutions) guide you from theory to practice, covering: the basics of programming in R, including how to write data frames, create functions, and use variables, statements, and loops; statistical concepts such as exploratory data analysis, probabilities, hypothesis testing, and regression analysis, and how to perform these in R; how to access R’s thousands of functions, libraries, and datasets, and how to draw valid and useful conclusions from your data; and how to create publication-quality graphics of your results.

Pages: 936, Dimensions: 17.9x17.9cm