Parameter
- 255 Seiten
- 9 Lesestunden
Mehr zum Buch
This book narrates the utility of R in analyzing data related to public administration, public policy, and political science, while also being relevant to broader social sciences. It serves as both a textbook and reference manual for students and independent researchers looking to use R for the first time or enhance their skills. The content, drawn from political science and policy analyses, is designed to be accessible to those in other fields as well. By the end of the initial seven chapters, entry-level users will be familiar with R as a traditional econometric software. The subsequent four chapters introduce advanced techniques unique to R, including the use of contributed libraries and programming within R. The book covers essential tasks associated with statistical modeling, such as descriptive statistics, basic inferences, model estimation, and regression diagnostics. For intermediate and advanced readers, it explores sophisticated methods available in R, highlighting user-created libraries relevant to political science. The final chapters demonstrate conducting linear algebra in R and creating simple programs, emphasizing that these tasks are easier in R compared to other software. This accessibility will appeal to scholars and policy researchers engaged in extensive data analysis, as well as students and educators in quantitative methods within political disciplines.
Buchkauf
Political Analysis Using R, James E. Monogan III
- Sprache
- Erscheinungsdatum
- 2015
- product-detail.submit-box.info.binding
- (Paperback)
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- Titel
- Political Analysis Using R
- Sprache
- Englisch
- Autor*innen
- James E. Monogan III
- Verlag
- Springer
- Erscheinungsdatum
- 2015
- Einband
- Paperback
- Seitenzahl
- 255
- ISBN10
- 3319234455
- ISBN13
- 9783319234458
- Reihe
- Schlagwörter
- Beschreibung
- This book narrates the utility of R in analyzing data related to public administration, public policy, and political science, while also being relevant to broader social sciences. It serves as both a textbook and reference manual for students and independent researchers looking to use R for the first time or enhance their skills. The content, drawn from political science and policy analyses, is designed to be accessible to those in other fields as well. By the end of the initial seven chapters, entry-level users will be familiar with R as a traditional econometric software. The subsequent four chapters introduce advanced techniques unique to R, including the use of contributed libraries and programming within R. The book covers essential tasks associated with statistical modeling, such as descriptive statistics, basic inferences, model estimation, and regression diagnostics. For intermediate and advanced readers, it explores sophisticated methods available in R, highlighting user-created libraries relevant to political science. The final chapters demonstrate conducting linear algebra in R and creating simple programs, emphasizing that these tasks are easier in R compared to other software. This accessibility will appeal to scholars and policy researchers engaged in extensive data analysis, as well as students and educators in quantitative methods within political disciplines.