Beginning R: an Introduction to Statistical Programming (BOK)

Larry Pace

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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 ContentsPart I. Learning the R Language 1. Getting R and Getting Started 2. Programming in R 3. Writing Reusable Functions 4. Summary Statistics Part II. Using R for Descriptive Statistics 5. Creating Tables and Graphs 6. Discrete Probability Distributions 7. Computing Standard Normal Probabilities Part III. Using R for Inferential Statistics 8. Creating Confidence Intervals 9. Performing t Tests 10. Implementing One-Way ANOVA 11. Implementing Advanced ANOVA 12. Simple Correlation and Regression in R 13. Multiple Correlation and Regression in R 14. Logistic Regression 15. Performing Chi-Square Tests 16. Working in Nonparametric Statistics Part IV. Taking R to the Next Level 17. Using R for Simulation 18. Resampling and Bootstrapping 19. Creating R Packages 20. Executing R Packages

Produktfakta

Språk Engelsk Engelsk Innbinding Heftet
Utgitt 2012 Forfatter Larry Pace
Forlag
COMPUTER BOOKSHOPS
ISBN 9781430245544
Antall sider 310 Dimensjoner 19,1cm x 23,5cm x 1,7cm
Vekt 580 gram Leverandør Bertram Trading Ltd
Emner og form Mathematical & statistical software

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