LinuxLinks.com
Newbies What Next ? News Forums Calendar

Search





News Sections
Home
General News (3987/0)
Reviews (636/0)
Press Releases (465/0)
Distributions (197/0)
Software (907/0)
Hardware (537/0)
Security (192/0)
Tutorials (356/0)
Off Topic (181/0)


User Functions
Username:

Password:

Don't have an account yet? Sign up as a New User


Events
There are no upcoming events




9 of the Best Free R Books - Part 2

9 of the Best Free R Books - Part 2

4. Using R for Introductory Statistics

Using R for Introductory Statistics
Website cran.r-project.org/doc/contrib/Verzani-SimpleR.pdf
Author John Verzani
Format PDF
Pages 114

The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source software package, was created in response to this issue. It has enjoyed explosive growth since its introduction, owing to its coherence, flexibility, and free availability. While it is a valuable tool for students who are first learning statistics, proper introductory materials are needed for its adoption.

Using R for Introductory Statistics fills this gap in the literature, making the software accessible to the introductory student. The author presents a self-contained treatment of statistical topics and the intricacies of the R software. The pacing is such that students are able to master data manipulation and exploration before diving into more advanced statistical concepts. The book treats exploratory data analysis with more attention than is typical, includes a chapter on simulation, and provides a unified approach to linear models.

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.†

Chapters include:

  • Univariate Data
  • Bivariate Data
  • Multivariate Data
  • Random Data
  • Simulations
  • Exploratory Data Analysis
  • Confidence Interval Estimation
  • Hypothesis Testing
  • Two-sample tests
  • Chi Square Tests
  • Regression Analysis
  • Multiple Linear Regression
  • Analysis of Variance

This is an ideal text for integrating the study of statistics with a powerful computational tool.

5. An Introduction to R

An Introduction to R
Website cran.r-project.org/doc/manuals/R-intro.pdf
Author William N Venables, David M Smith, and the R Core Team
Format PDF
Pages 109

This tutorial manual provides a comprehensive introduction to R, a software package for statistical computing and graphics.

R supports a wide range of statistical techniques and is easily extensible via user-defined functions. One of R's strengths is the ease with which publication-quality plots can be produced in a wide variety of formats.

Chapters explore:

  • Simple manipulations; numbers and vectors
  • Objects, their modes and attributes
  • Ordered and unordered functions
  • Arrays and matrices
  • Lists and data frames
  • Reading data from files
  • Probability distributions
  • Grouping, loops and conditional execution
  • Writing your own functions
  • Statistical models in R
  • Graphical procedures
  • Packages

6. Practical Regression and Anova in R

Practical Regression and Anova in R

Website www.maths.bath.ac.uk/~jjf23/book/
Author Julian J. Faraway
Format PDF
Pages 213

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.

Chapters cover:

  • Estimation
  • Inference
  • Errors in Predictors
  • Generalized Least Squares
  • Testing for Lack of Fit
  • Diagnostics
  • Transformation
  • Scale Changes, Principal Components and Collinearity
  • Variable Selection
  • Statistical Strategy and Model Uncertainty
  • Chicago Insurance Redlining - a complete example
  • Robust and Registant Regression
  • Missing Data
  • Analysis of Covariance
  • ANOVA

Next Section: 9 of the Best Free R Books - Part 3

This article is divided into three parts:

Part 1, Part 2, Part 3

Bookmark and Share


Last Updated Sunday, May 25 2014 @ 06:20 AM EDT


We have written a range of guides highlighting excellent free books for popular programming languages. Check out the following guides: C, C++, C#, Java, JavaScript, CoffeeScript, HTML, Python, Ruby, Perl, Haskell, PHP, Lisp, R, Prolog, Scala, Scheme, Forth, SQL, Node.js (new), Fortran (new), Erlang (new), Pascal (new), and Ada (new).


Group Tests
100 Essential Apps
All Group Tests


Top Free Software
5 Office Suites
3 Lean Desktops
7 Document Processors
4 Distraction Free Tools
9 Project Management
4 Business Solutions
9 Groupware Apps
14 File Managers
10 Databases
21 Backup Tools
21 Productivity Tools
5 Note Taking Apps
9 Terminal Emulators
21 Financial Tools
5 Bitcoin Clients
21 Text Editors
21 Video Emulators
21 Home Emulators
42 Graphics Apps
6 CAD Apps
42 Scientific Apps
10 Web Browsers
42 Email Apps
12 Instant Messaging
10 IRC Clients
7 Twitter Clients
12 News Aggregators
11 VoIP Apps
42 Best Games
9 Steam Games
42 Audio Apps
5 Music Streaming
42 Video Apps
5 YouTube Tools
80 Security Apps
9 System Monitoring
8 Geometry Apps
Free Console Apps
14 Multimedia
4 Audio Grabbers
9 Internet Apps
3 HTTP Clients
5 File Managers
Programming
8 Compilers
9 IDEs
9 Debuggers
7 Revision Control Apps
6 Doc Generators
Free Web Software
21 Web CMS
14 Wiki Engines
8 Blog Apps
6 eCommerce Apps
5 Human Resource Apps
10 ERP
10 CRM
6 Data Warehouse Apps
8 Business Intelligence
6 Point-of-Sale

Other Articles
Migrating from Windows
Back up your data
20 Free Linux Books
24 Beginner Books
12 Shell Scripting Books


Older Stories
Monday 03/09
  • Raspberry Pi 2: Raspbian (ARMv6) v Linaro (ARMv7) (0)

  • Friday 03/06
  • Raspberry Pi 2 review (0)

  • Sunday 02/22
  • Chess in a Few Bytes (0)
  • Learn the Art of Computer Programming With These Great Free Beginner Books (2)
  • CD Audio Grabbers (0)

  • Monday 01/19
  • fitlet is a tiny fanless PC full of openness (0)

  • Sunday 01/18
  • MintBox Mini gives Linux users a pocket-sized PC (0)
  • 6 Invaluable Assembly Books (0)

  • Wednesday 01/14
  • Why Mac users donít switch to Linux (0)
  • MIPS Creator CI20 review (0)


  • Vote

    What Linux distribution do you run on your main computer?

    Debian
    Fedora
    Mint
    Slackware
    openSuSE
    Arch
    Ubuntu
    Redhat
    Mageia
    CentOS
    FreeBSD
    Results
    641 votes | 3 comments

    Built with GeekLog and phpBB
    Comments to the webmaster are welcome
    Copyright 2009 LinuxLinks.com - All rights reserved