Built-in Data Files - The R Book [Book]You are currently using the site but have requested a page in the site. Would you like to change to the site? Michael J. Hugely successful and popular text presenting an extensive and comprehensive guide for all R users. The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets.
Reading and Writing Data Files in Rstudio
The R Book, 2nd Edition
Tags: horrible typography , R-project , The R Book. Crawley was an ambitious work, but managed to be slightly rubbish due to the atrocious typographical layout of the original book. The good news is that the new 2nd edition, released in , has a substantially improved layout that makes the book far more useful as a general reference. This is important, since the book is meant as an accessible reference for non-statisticians to many of the powerful data manipulation and statistical techniques available in R, particularly for biologists and researchers in similar fields. Up to now, the only way to make the 1st edition marginally useful was to seek out one of the pdf versions floating around the nether regions of the web so that you could use the search function to find content. Now that Wiley and Sons has presumably fired the original editor and layout people responsible for the 1st edition due to their massive incompetence, the 2nd edition allows The R Book to actually achieve that goal of being a handy reference.
A Note on Terminology
R is a powerful tool for statistics, graphics, and statistical programming. It is used by tens of thousands of people daily to perform serious statistical analyses. - This article was first published on eKonometrics , and kindly contributed to R-bloggers. According to the publisher, the new edition boasts the following features:.
Hugely successful and popular text presenting an extensive and comprehensive guide for all R users. The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research. Introduces a clear structure with numbered section headings to help readers locate information more efficiently. The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R. And now anybody can get to grips with it thanks to The R Book Stay ahead with the world's most comprehensive technology and business learning platform.