30 April
Download R Cookbook - Paul Teetor
R Cookbook

With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.

Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an experienced data programmer, it will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process.


Create vectors, handle variables, and perform other basic functions
Input and output data
Tackle data structures such as matrices, lists, factors, and data frames
Work with probability, probability distributions, and random variables
Calculate statistics and confidence intervals, and perform statistical tests
Create a variety of graphic displays
Build statistical models with linear regressions and analysis of variance (ANOVA)
Explore advanced statistical techniques, such as finding clusters in your data
"Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language—one practical example at a time." —Jeffrey Ryan, software consultant and R package author

Author: Paul Teetor
Pages: 438 pages
Format: PDF
Size: 34.86 Mb
Download
Dear visitor, you went to the site as unregistered user. We encourage you to register or enter the site under your name.

Related books:
    Download Statistics: The Art and Science of Learning from Data (2nd Edition) - Alan Agresti, Chris Franklin
    KEY MESSAGE: Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Second Edition helps readers become statistically literate by encouraging them to ask and answer interesting statistical questions. It takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to
    Download A First Course in Statistics (10th Edition) - James T. McClave, Terry L. Sincich
    KEY MESSAGE: The Tenth Edition of this highly-regarded introductory text emphasizes inference and sound decision-making through its extensive coverage of data collection and analysis. McClave develops statistical thinking and teaches readers to properly assess the credibility of inferences-from the vantage point of both the consumer and the producer. This edition incorporates more exercises and more visual features, such as redesigned end-of-chapter summaries and an
    Download Business Statistics: A First Course - David M. Levine, Timothy C. Krehbiel, Mark L. Berenson
    Levine, Krehbiel and Bereson have teamed up once again to present statistical topics in a business-applied context. Introduction and Data Collection; Presenting Data in Tables and Charts; Numerical Descriptive Measures; Basic Probability; Some Important Discrete Probability Distributions; The Normal Distribution and Other Continuous Distributions; Sampling and Sampling Distributions; Confidence Interval Estimation; Fundamentals of Hypothesis Testing; Two Sample Tests
    Download Introductory Statistics with R (Statistics and Computing) - Peter Dalgaard
    R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for practical data analysis and methodological development. This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting
    Download An Introduction to Generalized Linear Models - Annette J. Dobson, Adrian G. Barnett
    Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Models, Third Edition provides a cohesive framework for statistical modeling. This new edition of a bestseller has been updated with Stata, R, and WinBUGS code as well as three new chapters on Bayesian analysis. Like its predecessor, this edition presents the theoretical background of generalized linear models (GLMs) before focusing on methods for analyzing particular kinds of


Add comments