Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools.
RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You’ll gain valuable programming skills and support your work as a data scientist at the same time.
Work hands-on with three practical data analysis projects based on casino games
Store, retrieve, and change data values in your computer’s memory
Write programs and simulations that outperform those written by typical R users
Use R programming tools such as if else statements, for loops, and S3 classes
Learn how to write lightning-fast vectorized R code
Take advantage of R’s package system and debugging tools
Practice and apply R programming concepts as you learn them
Garrett Grolemund is a statistician, teacher and R developer who currently works for RStudio. He sees data analysis as a largely untapped fountain of value for both industry and science. Garrett received his Ph.D at Rice University in Hadley Wickham's lab, where his research traced the origins of data analysis as a cognitive process and identified how attentional and epistemological concerns guide every data analysis.
Garrett is passionate about helping people avoid the frustration and unnecessary learning he went through while mastering data analysis. Even before he finished his dissertation, he started teaching corporate training in R and data analysis for Revolutions Analytics. He's taught at Google, eBay, Axciom and many other companies, and is currently developing a training curriculum for RStudio that will make useful know-how even more accessible.
Outside of teaching, Garrett spends time doing clinical trials research, legal research, and financial analysis. He also develops R software, he's co-authored the lubridate R package--which provides methods to parse, manipulate, and do arithmetic with date-times--and wrote the ggsubplot package, which extends the ggplot2 package.
The animal on the cover of Hands-On Programming with R is an orange-winged Amazon parrot (Amazona amazonica). Loros guaros, as the birds are known locally, reside year-round in the humid tropics east of the Andes in South America, from Colombia and Venezuela in the north to Central Brazil in the south.
Orange-winged Amazons are both voluble and sociable. Quiet only when feeding, these birds roost communally in tree tops with as many as a thousand counterparts. Males of the species, who regurgitate food for a female partner while she incubates eggs and regurgitates food in turn to feed the brood, keep quarters near the nest during the day but return to the flock at night. They are often seen on morning and evening flights from tree-top roosts to feeding sites or nests in tree cavities.
The orange-winged variety displays the generally green plumage typical to other Amazon parrots, from whom it is distinguished by its orange speculum feathers. The forehead of the orange-winged Amazon is, like that of the blue-fronted Amazon, covered in blue feathers which give way to yellow on the crown and cheeks. The horn color at the base of the orange-winged Amazon's beak becomes a dark gray at the tip. Males and females exhibit no stable difference in appearance.
Many of the animals on O'Reilly covers are endangered; all of them are important to the world. To learn more about how you can help, go to http://animals.oreilly.com.
The cover image is from Meyers Kleines Lexicon. The cover fonts are URW Typewriter and Guardian Sans. The text font is Adobe Minion Pro; the heading font is Adobe Myriad Condensed; and the code font is Dalton Maag's Ubuntu Mono.
Comments about oreilly Hands-On Programming with R:
How to solve the logistical problems of data science and how to write our own functions and simulations with R. This book gives you all about that. Learn with projects (Weighted Dice, Playing Cards, Slot Machine) and Appendix A-E will help to install/update R and R packages as well as loading Data and debugging in R code.
Easy to read, if readers have some basic about R. Readers will enjoy with projects.
Bottom Line Yes, I would recommend this to a friend