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JDownloader is open source, platform independent and written completely in Java. It simplifies downloading files from One-Click-Hosters like Rapidshare.com or Megaupload.com - not only for users with a premium account but also for users who don't pay. It offers downloading in multiple paralell streams, captcha recognition, automatical file extraction and much more. Of course, JDownloader is absolutely free of charge. Additionally, many "link encryption" sites are supported - so you just paste the "encrypted" links and JD does the rest. JDownloader can import CCF, RSDF and the new DLC files.

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Beginning R: An Introduction to Statistical Programming
Filehosts Available: Extabit.com , Lumfile.com , Uploaded.net , Ul.to 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.

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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

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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

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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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