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R for political science research = an introduction for absolute beginners /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	R for political science research/ by Jane L. Sumner.
其他題名:	an introduction for absolute beginners /
作者:	Sumner, Jane L.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xvii, 363 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction: How to use this book. -- 2 Languages: Human and Computer. -- 3 Installing and Setting Up R and RStudio. -- 4 Getting Stuff Wrong. -- 5 Types and Objects. -- 6 Calculator. -- 7 Functions and packages. -- 8 Creating or Importing Data. -- 9 Manipulating Data. -- 10 Recoding, Leveling, and Cleaning. -- 11 Describing data with numbers. -- 12 Describing data with visuals. -- 13 Cross-tabs and chi-squared tests, one- and two-sample t-tests. -- 14 Linear Regression. -- 15 Visualizing Results. -- 16 Iteration. -- 17 Bonus Material: Dealing with Text. -- 18 Bonus Material: Web Scraping. -- 19 Bonus Material: Presenting your results (RMarkdown). -- 20 Bonus Material: Presenting your results (RShiny).
Contained By:	Springer Nature eBook
標題:	Political science - Research -
電子資源:	https://doi.org/10.1007/978-3-031-75853-9
ISBN:	9783031758539

R for political science research = an introduction for absolute beginners /
Sumner, Jane L.

R for political science researchan introduction for absolute beginners /[electronic resource] :by Jane L. Sumner. - Cham :Springer Nature Switzerland :2024. - xvii, 363 p. :ill. (some col.), digital ;24 cm. - Texts in quantitative political analysis,2730-9622. - Texts in quantitative political analysis..

Introduction: How to use this book. -- 2 Languages: Human and Computer. -- 3 Installing and Setting Up R and RStudio. -- 4 Getting Stuff Wrong. -- 5 Types and Objects. -- 6 Calculator. -- 7 Functions and packages. -- 8 Creating or Importing Data. -- 9 Manipulating Data. -- 10 Recoding, Leveling, and Cleaning. -- 11 Describing data with numbers. -- 12 Describing data with visuals. -- 13 Cross-tabs and chi-squared tests, one- and two-sample t-tests. -- 14 Linear Regression. -- 15 Visualizing Results. -- 16 Iteration. -- 17 Bonus Material: Dealing with Text. -- 18 Bonus Material: Web Scraping. -- 19 Bonus Material: Presenting your results (RMarkdown). -- 20 Bonus Material: Presenting your results (RShiny).

This text teaches basic R skills to political science students with no programming background. Intended specifically for the students who need to learn R for a class and who have no interest in R or may even be afraid of or hostile to it, this text builds an awareness of basics, confidence, and a skill set necessary to transition into more advanced texts. To that end, in addition to standard topics, this book includes three chapters specific to the new or reluctant learner. The Introduction explicitly sets expectations for how to use the book and discusses fixed and growth mentalities, and why a growth mentality is crucial for learning R. Chapter 1 includes some basic information on programming, R, and their place in political science research. Chapter 2 explicitly discusses errors, warnings, and methods of debugging. Further chapters build on this by including new errors or warnings that students may encounter as they progress. In service of the aim to give students a solid foundation in R and awareness of what it is and can do, this book teaches and uses both tidyverse and base R frameworks throughout. After completing the book, students should be prepared to learn more advanced materials.

ISBN: 9783031758539

Standard No.: 10.1007/978-3-031-75853-9doiSubjects--Topical Terms:

910357
Political science
--Research

LC Class. No.: JA86

Dewey Class. No.: 320.0721

R for political science research = an introduction for absolute beginners /
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520 $a This text teaches basic R skills to political science students with no programming background. Intended specifically for the students who need to learn R for a class and who have no interest in R or may even be afraid of or hostile to it, this text builds an awareness of basics, confidence, and a skill set necessary to transition into more advanced texts. To that end, in addition to standard topics, this book includes three chapters specific to the new or reluctant learner. The Introduction explicitly sets expectations for how to use the book and discusses fixed and growth mentalities, and why a growth mentality is crucial for learning R. Chapter 1 includes some basic information on programming, R, and their place in political science research. Chapter 2 explicitly discusses errors, warnings, and methods of debugging. Further chapters build on this by including new errors or warnings that students may encounter as they progress. In service of the aim to give students a solid foundation in R and awareness of what it is and can do, this book teaches and uses both tidyverse and base R frameworks throughout. After completing the book, students should be prepared to learn more advanced materials.
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