Beginning R
Subtitle: An Introduction to Statistical Programming
By: by Larry Pace
Contributors: SpringerLink (Online service)
Publisher: Apress; Imprint: Apress
Published: 2012
Place of publication: Berkeley, CA
Language: eng
Format: [electronic resource] :
Number of pages: 336
ISBN-13: 9781430245551
Subjects: Mathematics; Mathematical Software; Computer software
Description: <em>Beginning R: An Introduction to Statistical Programming</em> is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. R is a powerful open-source implementation of the statistical language S, which was developed by AT&amp;T. R has eclipsed S and the commercially-available S-Plus language, and has become the de facto standard for doing, teaching, and learning computational statistics.<br> <br> R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets. R is also becoming adopted into commercial tools such as Oracle Database. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for statistical exploration and research.<br> <br> <ul> <li>Covers the freely-available R language for statistics </li> <li>Shows the use of R in specific uses case such as simulations, discrete probability solutions, one-way ANOVA analysis, and more </li> <li>Takes a hands-on and example-based approach incorporating best practices with clear explanations of the statistics being done </li> </ul>