東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	R for political science research/ by Jane L. Sumner.
Reminder of title:	an introduction for absolute beginners /
Author:	Sumner, Jane L.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xvii, 363 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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
Subject:	Political science - Research -
Online resource:	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 /
LDR:03009nmm a2200337 a 4500 001 2381659
003 DE-He213
005 20250131115243.0
006 m o d
007 cr nn 008maaau
008 250418s2024 sz s 0 eng d
020 $a 9783031758539 $q (electronic bk.)
020 $a 9783031758522 $q (paper)
024 7 $a 10.1007/978-3-031-75853-9 $2 doi
035 $a 978-3-031-75853-9
040 $a GP $c GP
041 0 $a eng
050 4 $a JA86
072 7 $a JPA $2 bicssc
072 7 $a POL000000 $2 bisacsh
072 7 $a JPA $2 thema
082 0 4 $a 320.0721 $2 23
090 $a JA86 $b .S956 2024
100 1 $a Sumner, Jane L. $3 3735921
245 1 0 $a R for political science research $h [electronic resource] : $b an introduction for absolute beginners / $c by Jane L. Sumner.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xvii, 363 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Texts in quantitative political analysis, $x 2730-9622
505 0 $a 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).
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.
650 0 $a Political science $x Research $x Methodology. $3 910357
650 0 $a R (Computer program language) $3 784593
650 1 4 $a Methodology of Political Science. $3 3593788
650 2 4 $a Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. $3 3538811
650 2 4 $a Political Theory. $3 1567962
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Texts in quantitative political analysis. $3 3629693
856 4 0 $u https://doi.org/10.1007/978-3-031-75853-9
950 $a Political Science and International Studies (SpringerNature-41174)