A First Course in Statistical Programming with R

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  • Publisher : Cambridge University Press
  • Release : 13 December 2007
  • ISBN : 9781139466530
  • Page : 103 pages
  • Rating : 4/5 from 3 voters

Download A First Course in Statistical Programming with R in PDF, Epub and Kindle

This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground-breaking R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Learning the language is made easier by the frequent exercises and end-of-chapter reviews that help you progress confidently through the book. Solutions, datasets and any errata will be available from the book's web site. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis.

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A First Course in Statistical Programming with R

A First Course in Statistical Programming with R
  • Author : W. John Braun,Duncan J. Murdoch
  • Publisher : Cambridge University Press
  • Release Date : 2007-12-13
  • ISBN : 9781139466530
GET THIS BOOKA First Course in Statistical Programming with R

This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground-breaking R system, this book emphasizes programming, including the principles that apply to

A First Course in Statistical Programming with R

A First Course in Statistical Programming with R
  • Author : W. Braun
  • Publisher : Unknown
  • Release Date : 2007
  • ISBN : OCLC:1137354181
GET THIS BOOKA First Course in Statistical Programming with R

This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground-breaking R system, this book emphasizes programming, including the principles that apply to

The Book of R

The Book of R
  • Author : Tilman M. Davies
  • Publisher : No Starch Press
  • Release Date : 2016-07-16
  • ISBN : 9781593277796
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

A First Course in Statistical Programming with R

A First Course in Statistical Programming with R
  • Author : W. John Braun,Duncan J. Murdoch
  • Publisher : Cambridge University Press
  • Release Date : 2021-05-20
  • ISBN : 9781108995146
GET THIS BOOKA First Course in Statistical Programming with R

Get started computing with data. Learn general principles while learning R - now including the tidyverse.

The Art of R Programming

The Art of R Programming
  • Author : Norman Matloff
  • Publisher : No Starch Press
  • Release Date : 2011-10-11
  • ISBN : 9781593273842
GET THIS BOOKThe Art of R Programming

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly. The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge

Beginning R

Beginning R
  • Author : Mark Gardener
  • Publisher : John Wiley & Sons
  • Release Date : 2012-05-24
  • ISBN : 9781118239377
GET THIS BOOKBeginning R

Conquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much

R for Data Science

R for Data Science
  • Author : Hadley Wickham,Garrett Grolemund
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2016-12-12
  • ISBN : 9781491910368
GET THIS BOOKR for Data Science

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring,

The R Book

The R Book
  • Author : Michael J. Crawley
  • Publisher : John Wiley & Sons
  • Release Date : 2007-06-13
  • ISBN : 0470515066
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

Learning Statistics with R

Learning Statistics with R
  • Author : Daniel Navarro
  • Publisher : Lulu.com
  • Release Date : 2022-05-29
  • ISBN : 9781326189723
GET THIS BOOKLearning Statistics with R

An Introduction to Statistical Learning

An Introduction to Statistical Learning
  • Author : Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-06-24
  • ISBN : 9781461471387
GET THIS BOOKAn Introduction to Statistical Learning

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more.

Modern Data Science with R

Modern Data Science with R
  • Author : Benjamin S. Baumer,Daniel T. Kaplan,Nicholas J. Horton
  • Publisher : CRC Press
  • Release Date : 2021-03-31
  • ISBN : 9780429575396
GET THIS BOOKModern Data Science with R

From a review of the first edition: "Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician). Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case

Probability, Statistics, and Data

Probability, Statistics, and Data
  • Author : Darrin Speegle,Bryan Clair
  • Publisher : CRC Press
  • Release Date : 2021-11-26
  • ISBN : 9781000504514
GET THIS BOOKProbability, Statistics, and Data

This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included, using calculus when appropriate, but are always connected to experimental computations. Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure

Using R for Data Analysis in Social Sciences

Using R for Data Analysis in Social Sciences
  • Author : Quan Li
  • Publisher : Oxford University Press
  • Release Date : 2018-05-09
  • ISBN : 9780190656232
GET THIS BOOKUsing R for Data Analysis in Social Sciences

Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data. The focus is on how to address substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist approach and covers only the most important functions and skills in R

Introductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming in R

Introductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming in R
  • Author : Robert Knell
  • Publisher : Robert Knell
  • Release Date : 2014-05-14
  • ISBN : 9780957597112
GET THIS BOOKIntroductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming in R

R is now the most widely used statistical software in academic science and it is rapidly expanding into other fields such as finance. R is almost limitlessly flexible and powerful, hence its appeal, but can be very difficult for the novice user. There are no easy pull-down menus, error messages are often cryptic and simple tasks like importing your data or exporting a graph can be difficult and frustrating. Introductory R is written for the novice user who knows a

Statistical Computing with R

Statistical Computing with R
  • Author : Maria L. Rizzo
  • Publisher : CRC Press
  • Release Date : 2007-11-15
  • ISBN : 9781420010718
GET THIS BOOKStatistical Computing with R

Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to feature R, Statistical Computing with R covers the traditiona