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Use R! Ser.: Political Analysis with R by James E. Monogan III (2015, Trade Paperback)
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- Sofort-KaufenPolitische Analyse mit R (Verwendung R!)
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Über dieses Produkt
Product Identifiers
PublisherSpringer International Publishing A&G
ISBN-103319234455
ISBN-139783319234458
eBay Product ID (ePID)216047698
Product Key Features
Number of PagesXiii, 242 Pages
Publication NamePolitical Analysis with R
LanguageEnglish
SubjectProgramming Languages / General, Sociology / General, Probability & Statistics / General, General, Statistics
Publication Year2015
TypeTextbook
AuthorJames E. Monogan III
Subject AreaMathematics, Computers, Political Science, Social Science
SeriesUse R! Ser.
FormatTrade Paperback
Dimensions
Item Weight138.5 Oz
Item Length9.3 in
Item Width6.1 in
Additional Product Features
Intended AudienceScholarly & Professional
Dewey Edition23
Series Volume Number126
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal320.02855133
Table Of ContentObtaining R and Downloading Packages.- Loading and Manipulating Data.- Visualizing Data.- Descriptive Statistics.- Basic Inferences.- Linear Models and Regression.- Diagnostics.- Generalized Linear Models.- Using Libraries to Apply Advanced Models.- Time Series Analysis.- Linear Algebra with Programming Applications.- Additional Programming Tools.
SynopsisThis book provides a narrative of how R can be useful in the analysis of public administration, public policy, and political science data specifically, in addition to the social sciences more broadly. It can serve as a textbook and reference manual for students and independent researchers who wish to use R for the first time or broaden their skill set with the program. While the book uses data drawn from political science, public administration, and policy analyses, it is written so that students and researchers in other fields should find it accessible and useful as well. By the end of the first seven chapters, an entry-level user should be well acquainted with how to use R as a traditional econometric software program. The remaining four chapters will begin to introduce the user to advanced techniques that R offers but many other programs do not make available such as how to use contributed libraries or write programs in R. The book details how to perform nearly every task routinely associated with statistical modeling: descriptive statistics, basic inferences, estimating common models, and conducting regression diagnostics. For the intermediate or advanced reader, the book aims to open up the wide array of sophisticated methods options that R makes freely available. It illustrates how user-created libraries can be installed and used in real data analysis, focusing on a handful of libraries that have been particularly prominent in political science. The last two chapters illustrate how the user can conduct linear algebra in R and create simple programs. A key point in these chapters will be that such actions are substantially easier in R than in many other programs, so advanced techniques are more accessible in R, which will appeal to scholars and policy researchers who already conduct extensive data analysis. Additionally, the book should draw the attention of students and teachers of quantitative methods in the political disciplines., This book provides a narrative of how R can be useful in the analysis of public administration, public policy, and political science data specifically, in addition to the social sciences more broadly. It can serve as a textbook and reference manual for students and independent researchers who wish to use R for the first time or broaden their skill set with the program. While the book uses data drawn from political science, public administration, and policy analyses, it is written so that students and researchers in other fields should find it accessible and useful as well. By the end of the first seven chapters, an entry-level user should be well acquainted with how to use R as a traditional econometric software program. The remaining four chapters will begin to introduce the user to advanced techniques that R offers but many other programs do not make available such as how to use contributed libraries or write programs in R.The book details how to perform nearly every task routinely associated with statistical modeling: descriptive statistics, basic inferences, estimating common models, and conducting regression diagnostics. For the intermediate or advanced reader, the book aims to open up the wide array of sophisticated methods options that R makes freely available. It illustrates how user-created libraries can be installed and used in real data analysis, focusing on a handful of libraries that have been particularly prominent in political science. The last two chapters illustrate how the user can conduct linear algebra in R and create simple programs. A key point in these chapters will be that such actions are substantially easier in R than in many other programs, so advanced techniques are more accessible in R, which will appeal to scholars and policy researchers who already conduct extensive data analysis. Additionally, the book should draw the attention of students and teachers of quantitative methods in the political disciplines.
LC Classification NumberHA1-4737
