http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
1 online resource ( xix, 439 pages) : illustrations.
Part I. Introduction to R. 1. Basic R / AndreÌ?s Cruz -- 2. Data Management / AndreÌ?s Cruz -- 3. Data Visualization / Soledad Araya -- 4. Data Loading / Soledad Araya and AndreÌ?s Cruz -- Part II. Models -- 5. Linear Models / IneÌ?s Fynn and Lihuen Nocetto -- 6. Case Selection Based on Regressions / IneÌ?s Fynn and Lihuen Nocetto -- 7. Panel Data / Francisco Urdinez -- 8. Logistic Models / Francisco Urdinez -- 9. Survival Models / Francisco Urdinez -- 10. Causal Inference / Andrew Heiss -- Part III. Applications. 11. Advanced Political Data Management / AndreÌ?s Cruz and Francisco Urdinez -- 12. Web Mining / Gonzalo BarriÌ?a -- 13. Quantitaive Text Analysis / SebastiaÌ?n Huneeus -- 14. Networks / AndreÌ?s Cruz -- 15. Principal Component Analysis / Caterina LabriÌ?n and Francisco Urdinez -- 16. Maps and Spatial Data / Andrea Escobar and Gabriel Ortiz.
edited by Francisco Urdinez, AndreÌ?s Cruz.
Includes bibliographical references (pages 427-436) and index.
This book is edited by Francisco Urdinez, Assistant Professor at the Institute of Political Science of the Pontifical Catholic University of Chile, and AndreÌ?s Cruz, Adjunct Instructor at the same institution. Most of the authors who contributed with chapters to this volume are political scientists affiliated to the Institute of Political Science of the Pontifical Catholic University of Chile, and many are researchers and collaborators of the Millennium Data Foundation Institute, an institution that aims at gathering, cleaning and analyzing public data to support public policy. Andrew Heiss is affiliated to Georgia State University Andrew Young School of Policy Studies and he joined this project contributing with a chapter on causal inference. Above all, all the authors are keen users of R.
Chapman & Hall/CRC the R series (CRC Press)