000 04042nam a22005295i 4500
001 978-3-031-75853-9
003 DE-He213
005 20251030114936.0
007 cr nn 008mamaa
008 250131s2024 sz | s |||| 0|eng d
020 _a9783031758539
_9978-3-031-75853-9
024 7 _a10.1007/978-3-031-75853-9
_2doi
050 4 _aJA71-80
072 7 _aJPA
_2bicssc
072 7 _aPOL000000
_2bisacsh
072 7 _aJPA
_2thema
100 1 _aSumner, Jane L.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_990595
245 1 0 _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.
_958714
650 0 _aSocial sciences
_xStatistical methods.
_975236
650 1 4 _aMethodology of Political Science.
_971419
650 2 4 _aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
_975237
650 2 4 _aPolitical Theory.
_970609
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031758522
776 0 8 _iPrinted edition:
_z9783031758546
776 0 8 _iPrinted edition:
_z9783031758553
830 0 _aTexts in Quantitative Political Analysis,
_x2730-9622
_990596
856 4 0 _uhttps://doi.org/10.1007/978-3-031-75853-9
912 _aZDB-2-POS
912 _aZDB-2-SXPI
999 _c66590
_d66590