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Easy R : access, prepare, visualize, explore data, and write papers / Elizabeth Gohmert, Quan Li, and Douglas Wise.

By: Contributor(s): Material type: TextTextPublisher: Thousand Oaks, California : SAGE Publications, Inc, [2021]Copyright date: ©2021Description: xiii, 178 pages : illustrations ; 23 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 1544379412
  • 9781544379418
Other title:
  • Access, prepare, visualize, explore data, and write papers
  • Access, prepare, visualise, explore data, and write papers [Other title]
Subject(s): DDC classification:
  • 300.2855133 23
LOC classification:
  • H61.3 .G65 2021
Contents:
1. Making Preparations: Software Installation and Project Setup -- 2. Writing Your Essay Using R Markdown: Something for Everyone -- 3. Creating Data and Graphs in Your Essays -- 4. Preparing Your Data -- 5. Accessing Datasets -- 6. Exploratory Data Analysis: Three Exercises -- 7. Writing Your Research Paper Using R: Analyzing the Effect of Economic Development on Life Expectancy.
Summary: "This book is built on the premise that anyone can learn to use the R software. The authors emphasize using R to do useful things like writing papers and reports, creating graphs, and conducting simple data analysis. After a first chapter on installing the software and project setup, the second chapter shows how to write an essay using R Markdown, rewarding readers with an immediate tangible result, and taking the fear out of working with a new software. Student-friendly language and examples (e.g. binge-watched shows on Netflix, top 5 songs on Spotify), cumulative learning and repetition across chapters, and practice exercises make this a must-have guide for a variety of courses where data is used and reports need to be written (including, but not limited to intro statistics and research methods). Code and datasets used to carry out the examples in the book are available on an accompanying website"-- Provided by publisher.
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Includes bibliographical references.

1. Making Preparations: Software Installation and Project Setup -- 2. Writing Your Essay Using R Markdown: Something for Everyone -- 3. Creating Data and Graphs in Your Essays -- 4. Preparing Your Data -- 5. Accessing Datasets -- 6. Exploratory Data Analysis: Three Exercises -- 7. Writing Your Research Paper Using R: Analyzing the Effect of Economic Development on Life Expectancy.

"This book is built on the premise that anyone can learn to use the R software. The authors emphasize using R to do useful things like writing papers and reports, creating graphs, and conducting simple data analysis. After a first chapter on installing the software and project setup, the second chapter shows how to write an essay using R Markdown, rewarding readers with an immediate tangible result, and taking the fear out of working with a new software. Student-friendly language and examples (e.g. binge-watched shows on Netflix, top 5 songs on Spotify), cumulative learning and repetition across chapters, and practice exercises make this a must-have guide for a variety of courses where data is used and reports need to be written (including, but not limited to intro statistics and research methods). Code and datasets used to carry out the examples in the book are available on an accompanying website"-- Provided by publisher.

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