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Political Analysis Using R can serve as a textbook for undergraduate or graduate students as well as a manual for independent researchers. It is unique among competitor books in its usage of 21 example datasets that are all drawn from political research. All of the data and example code is available from the Springer website, as well as from Dataverse (http://dx.doi.org/10.7910/DVN/ARKOTI).
The book provides a narrative of how R can be useful for addressing problems common to the analysis of public administration, public policy, and political science data specifically, in addition to the
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Produktbeschreibung
Political Analysis Using R can serve as a textbook for undergraduate or graduate students as well as a manual for independent researchers. It is unique among competitor books in its usage of 21 example datasets that are all drawn from political research. All of the data and example code is available from the Springer website, as well as from Dataverse (http://dx.doi.org/10.7910/DVN/ARKOTI).

The book provides a narrative of how R can be useful for addressing problems common to the analysis of public administration, public policy, and political science data specifically, in addition to the social sciences more broadly. 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.

Political Analysis Using R is perfect for the first-time R user who has no prior knowledge about the program. By working through the first seven chapters of this book, an entry-level user should be well acquainted with how to use R as a traditional econometric software program. These chapters explain how to install R, open and clean data, draw graphs, compute descriptive statistics, conduct bivariate inferences, and estimate common models such as linear and logistic regression. This portion of the book is ideal for undergraduate students, graduate students, or professionals trying to learn R in their spare time.

This book also can be useful for an intermediate R user wishing to develop additional skills within the program. The last four chapters of the book introduce the user to advanced techniques that R offers but many other programs do not make available. Topics in these l

ast chapters include: using user-contributed packages, conducting time series analysis, conducting matrix algebra, and writing programs in R.


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Autorenporträt
James Monogan is an assistant professor in the Department of Political Science at the University of Georgia. After completing his B.A. in political science at the University of South Carolina in 2003, he attended the University of North Carolina where he earned his M.A. in 2005 and Ph.D. in 2010. He then worked as a visiting assistant professor for the Center for Applied Statistics and Department of Political Science at Washington University in St. Louis until he began work at UGA in 2011. James's research and teaching has focused on political methodology and American political behavior. As a political methodologist, his research has focused on geospatial data analysis and time series analysis. In the area of political behavior, he addresses questions about representation in the United States.