First multi-year cumulation covers six years: 1965-70.

First multi-year cumulation covers six years: 1965-70.

HILARIOUS PARODIES OF CLASSIC LITERATURE REIMAGINED WITH CLASSIC COMICS Masterpiece Comics adapts a variety of classic literary works with the most iconic visual idioms of twentieth-century comics. Dense with exclamation marks and lurid colors, R. Sikoryak's parodies remind us of the sensational excesses of the canon, or, if you prefer, of the economical expressiveness of classic comics from Batman to Garfield. In "Blond Eve," Dagwood and Blondie are ejected from the Garden of Eden into their archetypal suburban home; Oscar Wilde's Dorian Gray is reimagined as a foppish Little Nemo; and Camus's Stranger becomes a brooding, chain-smoking Golden Age Superman. Other source material includes Dante, Shakespeare, Dostoyevsky, bubblegum wrappers, superhero comics, kid cartoons, and more. Sikoryak's classics have appeared in landmark anthologies such as RAW and Drawn & Quarterly, all of which are collected in Masterpiece Comics, along with brilliant new graphic literary satires. His drawings have appeared on The Daily Show with Jon Stewart, as well as in The New Yorker, The Onion, Mad, and Nickelodeon Magazine.

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.