R Inferno by Patrick Burns - This is a great introduction to several aspects of R programming. Loading data into R, iterating over data with loops & logic statements, he even touches on creating packages. This is a complete and thorough book on R. A hard copy is available for purchase through the site, or the entire book is available for download as a PDF. Download Beginning R: The Statistical Programming Language (PDF) or any other file from Books category. HTTP download also available at fast speeds. Beginning R: An Introduction to Statistical Programming is a hands-on book showing how to use the R language, write and save R scripts, build and import data files.

• Aland Islands • Albania • Andorra • Armenia • Austria • Azerbaijan • Belarus • Belgium • Bosnia and Herzegovina • Bulgaria • Croatia • Cyprus • Czech Republic • Denmark • Estonia • Finland • France • Georgia • Germany • Gibraltar • Greece • Greenland • Holy See (Vatican City State) • Hungary • Iceland • Ireland • Italy • Latvia • Liechtenstein • Lithuania • Luxembourg • Macedonia • Malta • Moldova • Monaco • Montenegro • Netherlands • Norway • Poland • Portugal • Romania • Russia • Serbia • Slovakia • Slovenia • Spain • Sweden • Switzerland • Turkey • Ukraine • United Kingdom. Zincgui Game. • American Samoa • Australia • Bangladesh • Bhutan • British Indian Ocean Territory • Brunei • Cambodia • China • Christmas Island • Cocos (Keeling) Islands • Cook Islands • Fiji • Guam • India • Indonesia • Japan • Kazakhstan • Korea (the Republic of) • Kyrgyzstan • Laos • Malaysia • Maldives • Mongolia • Myanmar • Nepal • New Zealand • Pakistan • Papua New Guinea • Philippines • Samoa • Singapore • Solomon Islands • Sri Lanka • Tajikistan • Thailand • Timor-Leste • Tonga • Turkmenistan • Uzbekistan • Vanuatu • Vietnam.

Description Conquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex statistics, manipulating data and extracting components, and rudimentary programming.