Read 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

Robert Knell

4.9/5 (14447 ratings)

Description: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 bit about statistics but who hasn't yet got to grips with the ways of R. This book:1) Walks you through the basics of R's command line interface 2) Gives a set of simple rules to follow to make sure you import your data properly3) Introduces the script editor and gives advice on workflow4) Contains a detailed introduction to drawing graphs in R and5) Gives advice on how to deal with some of the most common errors that you might encounter.The techniques of statistical analysis in R are illustrated by a series of chapters where experimental and survey data are analysed. There is a strong emphasis on using real data from real scientific research, with all the problems and uncertainty that implies, rather than well-behaved made-up data that give ideal and easy to analyse results.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Introductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming in R. To get started finding Introductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming in R, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Format: PDF, EPUB & Kindle Edition

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ISBN: 095759710X

Description: 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 bit about statistics but who hasn't yet got to grips with the ways of R. This book:1) Walks you through the basics of R's command line interface 2) Gives a set of simple rules to follow to make sure you import your data properly3) Introduces the script editor and gives advice on workflow4) Contains a detailed introduction to drawing graphs in R and5) Gives advice on how to deal with some of the most common errors that you might encounter.The techniques of statistical analysis in R are illustrated by a series of chapters where experimental and survey data are analysed. There is a strong emphasis on using real data from real scientific research, with all the problems and uncertainty that implies, rather than well-behaved made-up data that give ideal and easy to analyse results.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Introductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming in R. To get started finding Introductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming in R, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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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

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