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beginning r introduction statistical programming v413hav

Type:: E-books
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Uploaded On:: Nov. 24, 2012, 5:15 p.m.
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Beginning R - Introduction To Statistical Programming V413HAV For More Quality Uploads : The Piratebay : https://thepiratebay.se/user/V413HAV/ Facebook Page Address And E-Mail ID In Read Me.txt Support The Developers. If You Like It, Buy It. || || ||||||| TM |||| || || || || || || || || || ||||||| |||||||||| || || || || || || || ||||||| Formats: EPUB, PDF Book Description 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, and write your own custom statistical functions. R is a powerful open-source implementation of the statistical language S, which was developed by AT&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. 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. - Covers the freely-available R language for statistics - Shows the use of R in specific uses case such as simulations, discrete probability solutions, one-way ANOVA analysis, and more - Takes a hands-on and example-based approach incorporating best practices with clear explanations of the statistics being done What you’ll learn - Acquire and install R - Import and export data and scripts - Generate basic statistics and graphics - Program in R to write custom functions - Use R for interactive statistical explorations - Implement simulations and other advanced techniques Who this book is for Beginning R: An Introduction to Statistical Programming is an easy-to-read book that serves as an instruction manual and reference for working professionals, professors, and students who want to learn and use R for basic statistics. It is the perfect book for anyone needing a free, capable, and powerful tool for exploring statistics and automating their use. Table of Contents Part I: Learning the R Language Chapter 1. Getting R and Getting Started Chapter 2. Programming in R Chapter 3. Writing Reusable Functions Chapter 4. Summary Statistics Part II: Using R for Descriptive Statistics Chapter 5. Creating Tables and Graphs Chapter 6. Discrete Probability Distributions Chapter 7. Computing Standard Normal Probabilities Part III: Using R for Inferential Statistics Chapter 8. Creating Confidence Intervals Chapter 9. Performing t Tests Chapter 10. Implementing One-Way ANOVA Chapter 11. Implementing Advanced ANOVA Chapter 12. Simple Correlation and Regression in R Chapter 13. Multiple Correlation and Regression in R Chapter 14. Logistic Regression Chapter 15. Performing Chi-Square Tests Chapter 16. Working in Nonparametric Statistics Part IV: Taking R to the Next Level Chapter 17. Using R for Simulation Chapter 18. Resampling and Bootstrapping Chapter 19. Creating R Packages Chapter 20. Executing R Packages Book Details Paperback: 336 pages Publisher: Apress (October 2012) Language: English ISBN-10: 1430245549 ISBN-13: 978-1430245544

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