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Top : Books : Free : Programming : R

Highlights
10 Top Tools for Novelists
The software featured in this article is designed to meet the specialised needs of a budding novelist. There's the finest open source distraction-free tools, software designed to create visual novels, and tools to help capture and visualise ideas.

(Read more)
Migrating from Windows to Linux
This collection of articles aim to dispel the myth that Linux isn't really ready for the desktop user seeking to move away from the Microsoft world. If you are thinking about switching from Windows to Linux, bear in mind that many of your favorite desktop applications have Linux equivalents, often with a comparable feature set.

Links:

  • The R Inferno
    The R Inferno is an essential must read guide to the trouble spots and oddities of R. The book shares with the reader a lot of useful information and maintains the reader's interest. The book provides many useful techniques and tips for reducing memory usage, improving performance, and avoiding errors in computational analysis. hot
  • An Introduction to R
    This tutorial manual provides a comprehensive introduction to R, a software package for statistical computing and graphics.
  • Introduction to Probability and Statistics Using R
    Introduction to Proabability and Statistics Using R is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors.
  • Introduction to Statistical Thinking (With R, Without Calculus)
    Introduction to Statistical Thinking is targeted at college students who are required to learn statistics, students with little background in mathematics and often no motivation to learn more. This book uses the basic structure of generic introduction to statistics course.
  • Multivariate Statistics with R
    The objective of Multivariate Statistics with R is to cover a basic core of multivariate material in such a way that the core mathematical principles are covered, and to provide access to current applications and developments.
  • Practical Regression and Anova in R
    Practical Regression and Anova in R is an intermediate text on the practice of regression and analysis of variance. The objective is to learn what methods are available and more importantly, when they should be applied. The book is not an introduction to R.
  • Using R for Introductory Statistics
    This text lays the foundation for further study and development in statistics using R. Appendices cover installation, graphical user interfaces, and teaching with R, as well as information on writing functions and producing graphics.



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