A Beginner s Guide to R Book [PDF] Download

Download the fantastic book titled A Beginner s Guide to R written by Alain Zuur, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "A Beginner s Guide to R", which was released on 24 June 2009. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of A Beginner s Guide to R by Alain Zuur PDF

Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum. The text covers how to download and install R, import and manage data, elementary plotting, an introduction to functions, advanced plotting, and common beginner mistakes. This book contains everything you need to know to get started with R.


Detail About A Beginner s Guide to R PDF

  • Author : Alain Zuur
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Total Pages : 228 pages
  • ISBN : 0387938370
  • PDF File Size : 34,6 Mb
  • Language : English
  • Rating : 4/5 from 1 reviews

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A Beginner's Guide to R

A Beginner's Guide to R
  • Publisher : Springer Science & Business Media
  • File Size : 53,7 Mb
  • Release Date : 24 June 2009
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Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics

R in Finance and Economics

R in Finance and Economics
  • Publisher : World Scientific Publishing Company
  • File Size : 29,7 Mb
  • Release Date : 14 December 2016
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This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics. It is specifically targeted towards undergraduate and graduate students.

Statistics with R

Statistics with R
  • Publisher : SAGE
  • File Size : 20,6 Mb
  • Release Date : 27 January 2018
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***Choice Outstanding Academic Title Award Winner*** 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

Beyond Spreadsheets with R

Beyond Spreadsheets with R
  • Publisher : Simon and Schuster
  • File Size : 45,5 Mb
  • Release Date : 10 December 2018
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Summary Beyond Spreadsheets with R shows you how to take raw data and transform it for use in computations, tables, graphs, and more. You'll build on simple programming techniques like

Beginner's Guide for Data Analysis using R Programming

Beginner's Guide for Data Analysis using R Programming
  • Publisher : KHANNA PUBLISHING HOUSE
  • File Size : 32,9 Mb
  • Release Date : 16 June 2024
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R programming is an efficient tool for statistical analysis of data. Data science has become critical to each field and the popularity of R is skyrocketing. Organization as large and

Qualitative Comparative Analysis Using R

Qualitative Comparative Analysis Using R
  • Publisher : Cambridge University Press
  • File Size : 45,8 Mb
  • Release Date : 28 October 2021
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"This book offers a hands-on introduction and teaching resource for students, users, and teachers of Qualitative Comparative Analysis (QCA; Ragin, 1987, 2000, 2008b). Given its superior ability to model certain aspects of

R for Data Science

R for Data Science
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 52,7 Mb
  • Release Date : 12 December 2016
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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

A Survivor's Guide to R

A Survivor's Guide to R
  • Publisher : SAGE Publications
  • File Size : 36,6 Mb
  • Release Date : 22 April 2014
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Focusing on developing practical R skills rather than teaching pure statistics, Dr. Kurt Taylor Gaubatz’s A Survivor’s Guide to R provides a gentle yet thorough introduction to R.