Using R for Introductory Statistics

The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.

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  • Author : John Verzani
  • Publisher : CRC Press
  • Pages : 518 pages
  • ISBN : 1315362678
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKUsing R for Introductory Statistics

Using R for Introductory Statistics

Using R for Introductory Statistics
  • Author : John Verzani
  • Publisher : CRC Press
  • Release : 03 October 2018
GET THIS BOOKUsing R for Introductory Statistics

The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic

Introductory Statistics with R

Introductory Statistics with R
  • Author : Peter Dalgaard
  • Publisher : Springer Science & Business Media
  • Release : 27 June 2008
GET THIS BOOKIntroductory Statistics with R

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 of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are

Introduction to Data Science

Introduction to Data Science
  • Author : Rafael A. Irizarry
  • Publisher : CRC Press
  • Release : 20 November 2019
GET THIS BOOKIntroduction to Data Science

Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data

Basic Statistics with R

Basic Statistics with R
  • Author : Stephen C. Loftus
  • Publisher : Academic Press
  • Release : 12 March 2021
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Basic Statistics with R: Reaching Decisions with Data provides an understanding of the processes at work in using data for results. Sections cover data collection and discuss exploratory analyses, including visual graphs, numerical summaries, and relationships between variables - basic probability, and statistical inference - including hypothesis testing and confidence intervals. All topics are taught using real-data drawn from various fields, including economics, biology, political science and sports. Using this wide variety of motivating examples allows students to directly connect

Basic Statistics

Basic Statistics
  • Author : Tenko Raykov,George A. Marcoulides
  • Publisher : Rowman & Littlefield
  • Release : 07 May 2021
GET THIS BOOKBasic Statistics

Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art, powerful software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using R. This concise book: .Teaches essential concepts in statistics, assuming little background knowledge on the part of the reader .Introduces students to R with as few sub-commands as possible for ease of use .Provides practical examples from the educational, behavioral, and social

Biostatistics with R

Biostatistics with R
  • Author : Babak Shahbaba
  • Publisher : Springer Science & Business Media
  • Release : 15 December 2011
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Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander. A novel feature of

The R Book

The R Book
  • Author : Michael J. Crawley
  • Publisher : John Wiley & Sons
  • Release : 13 June 2007
GET THIS BOOKThe R Book

The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging from simple regression to time series or multivariate analysis. Building on the success of the author’s bestselling Statistics: An Introduction using R, The R Book is packed with worked

The Book of R

The Book of R
  • Author : Tilman M. Davies
  • Publisher : No Starch Press
  • Release : 16 December 2016
GET THIS BOOKThe Book of R

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of

Discovering Statistics Using R

Discovering Statistics Using R
  • Author : Andy Field,Jeremy Miles,Zoë Field
  • Publisher : SAGE
  • Release : 07 March 2012
GET THIS BOOKDiscovering Statistics Using R

Lecturers - request an e-inspection copy of this text or contact your local SAGE representative to discuss your course needs. Watch Andy Field's introductory video to Discovering Statistics Using R Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly

Basic Statistics for the Behavioral and Social Sciences Using R

Basic Statistics for the Behavioral and Social Sciences Using R
  • Author : Wendy Zeitlin,Charles Auerbach
  • Publisher : Oxford University Press
  • Release : 25 February 2019
GET THIS BOOKBasic Statistics for the Behavioral and Social Sciences Using R

Ideal for introductory statistics courses at both the undergraduate and graduate levels, Basic Statistics for the Behavioral and Social Sciences Using R is specifically designed to make adoption simple in a variety of disciplines. The text includes topics typically covered in introductory textbooks: probability, descriptive statistics, visualization, comparisons of means, tests of association, correlations, OLS regression, and power analysis. However, it also transcends other books at this level by covering topics such as bootstrapping and an introduction to R, for

Statistics with R

Statistics with R
  • Author : Robert Stinerock
  • Publisher : SAGE
  • Release : 08 January 2018
GET THIS BOOKStatistics with R

The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for anyone hoping to: Complete an introductory course in statistics Prepare for more advanced statistical courses Gain the transferable analytical skills needed to interpret research from across the social sciences Learn the technical skills needed to present data visually Acquire a basic competence in the use of R. The book provides readers with the conceptual

The New Statistics with R

The New Statistics with R
  • Author : Andy Hector
  • Publisher : OUP Oxford
  • Release : 29 January 2015
GET THIS BOOKThe New Statistics with R

Statistical methods are a key tool for all scientists working with data, but learning the basic mathematical skills can be one of the most challenging components of a biologist's training. This accessible book provides a contemporary introduction to the classical techniques and modern extensions of linear model analysis: one of the most useful approaches in the analysis of scientific data in the life and environmental sciences. It emphasizes an estimation-based approach that accounts for recent criticisms of the over-use of

An Introduction to Basic Statistics for Biologists Using R

An Introduction to Basic Statistics for Biologists Using R
  • Author : Colin D. Macleod,Ross Macleod
  • Publisher : Practical Statistics for Biolo
  • Release : 14 April 2020
GET THIS BOOKAn Introduction to Basic Statistics for Biologists Using R

This wrokbook provides biologists with an easy-to-follow introduction to conducting statistical analysis in R. It does this through a series of practical exercises based on easy-to-follow flow diagrams that show biologists exactly how to do a variety of key tasks.