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020 |a9783031758539|9978-3-031-75853-9
024 7 |a10.1007/978-3-031-75853-9|2doi
041 |aeng
049 |aTürk Tarih Kurumu Kütüphanesi
050 4|aJA71-80
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072 7|aPOL000000|2bisacsh
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090 |aDK/21017
100 1 |aSumner, Jane L.|eauthor.|0(orcid)0000-0001-6616-2238|1https://orcid.org/0000-0001-6616-2238|4aut|4http://id.loc.gov/vocabulary/relators/aut
245 10|aR for Political Science Research|h[electronic resource] :|bAn Introduction for Absolute Beginners /|cby Jane L. Sumner.
250 |a1st ed. 2024.
264 1|aCham :|bSpringer Nature Switzerland :|bImprint: Springer,|c2024.
300 |aXVII, 363 p. 60 illus., 29 illus. in color.|bonline resource.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
347 |atext file|bPDF|2rda
490 1 |aTexts in Quantitative Political Analysis,|x2730-9622
505 0 |a -- 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).
520 |aThis 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|aPolitical science.
650 0|aSocial sciences|xStatistical methods.
650 14|aMethodology of Political Science.
650 24|aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
650 24|aPolitical Theory.
710 2 |aSpringerLink (Online service)
773 0 |tSpringer Nature eBook
776 08|iPrinted edition:|z9783031758522
776 08|iPrinted edition:|z9783031758546
776 08|iPrinted edition:|z9783031758553
830 0|aTexts in Quantitative Political Analysis,|x2730-9622
856 40|uhttps://doi.org/10.1007/978-3-031-75853-9
912 |aZDB-2-POS
912 |aZDB-2-SXPI
950 |aPolitical Science and International Studies (SpringerNature-41174)
950 |aPolitical Science and International Studies (R0) (SpringerNature-43724)