rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: R for political data science
    sub title: a practical guide
  name:
    name part: Urdinez, Francisco
    role:
      role term: editor.
  name:
    name part: Cruz, AndreÌ?s
    role:
      role term: editor.
  name:
    name part: ProQuest (Firm)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2021
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource ( xix, 439 pages) : illustrations.
  table of contents: 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.
  target audience: general
  note: edited by Francisco Urdinez, AndreÌ?s Cruz.
  note: Includes bibliographical references (pages 427-436) and index.
  note: 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.
  subject:
    topic: Political statistics
    topic: Computer programs
  subject:
    topic: R (Computer program language)
  subject:
    topic: POLITICAL SCIENCE
    topic: General
  subject:
    topic: Political statistics
    topic: Computer programs
  subject:
    topic: R (Computer program language)
  classification: JA71.7 .R22 2021
  classification: 320.02855133
  related item:
    title info:
      title: R FOR POLITICAL DATA SCIENCE
    name:
      name part: URDINEZ, FRANCISCO. CRUZ, ANDRES.
    origin info:
      publisher: [S.l.] : CRC PRESS, 2020
    identifier: (OCoLC)1154127069
  related item:
    title info:
      title: Chapman & Hall/CRC the R series (CRC Press)
  identifier: 9781000204513
  identifier: 1000204510
  identifier: 9781000204476
  identifier: 1000204472
  identifier: 9781003010623
  identifier: 1003010628
  identifier: 9781000204490
  identifier: 1000204499
  identifier: 9780367818838
  identifier: 0367818892
  identifier: 9780367818890
  identifier: 9781000204513 Ingram Content Group
  identifier: 9781003010623 Taylor & Francis
  identifier: https://ebookcentral.proquest.com/lib/tamucs/detail.action
  record info:
    record content source: NLW
    record creation date: 200914
    record change date: 20210402163051.3
    record identifier: in00004553674
    language of cataloging:
      language term: eng