04042nam a22005295i 4500 978-3-031-75853-9 DE-He213 20251030114936.0 cr nn 008mamaa 250131s2024 sz | s |||| 0|eng d 9783031758539 978-3-031-75853-9 10.1007/978-3-031-75853-9 doi JA71-80 JPA bicssc POL000000 bisacsh JPA thema Sumner, Jane L. author. aut http://id.loc.gov/vocabulary/relators/aut 90595 R for Political Science Research [electronic resource] : An Introduction for Absolute Beginners / by Jane L. Sumner. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XVII, 363 p. 60 illus., 29 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Texts in Quantitative Political Analysis, 2730-9622 -- 1 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. Political science. 58714 Social sciences Statistical methods. 75236 Methodology of Political Science. 71419 Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 75237 Political Theory. 70609 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031758522 Printed edition: 9783031758546 Printed edition: 9783031758553 Texts in Quantitative Political Analysis, 2730-9622 90596 https://doi.org/10.1007/978-3-031-75853-9 ZDB-2-POS ZDB-2-SXPI 66590 66590