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A guide to R for social and behavioral science statistics / Brian Joseph Gillespie, Kathleen Charli Hibbert and William E. Wagner, III,

By: Contributor(s): Material type: TextTextLanguage: English Publication details: New Delhi : SAGE Publications, Inc., 2021.Description: xv, 284 pages ; 24 cmISBN:
  • 9781544344027
Subject(s): DDC classification:
  • 519.50285 GIL
Summary: "A Guide to R for Social and Behavioral Science Statistics is a short, accessible book for learning R. This handy guide contains basic information on statistics for undergraduates and graduate students, shown in the R statistical language using RStudio. The book is geared toward social and behavioral science statistics students, especially those with no background in computer science. Written as a companion book to be used alongside a larger introductory statistics text, the text follows the most common progression of statistics for social scientists. The guide also serves as a companion for conducting data analysis in a research methods course or as a stand-alone R and statistics text. This guide can teach anyone how to use R to analyze data, and uses frequent reminders of basic statistical concepts to accompany instructions in R to help walk students through the basics of learning how to use R for statistics"--
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Item type Current library Call number Status Date due Barcode
Books Institute of Public Enterprise, Library S Campus 519.50285 GIL (Browse shelf(Opens below)) Available 45815

Includes bibliographical references.

"A Guide to R for Social and Behavioral Science Statistics is a short, accessible book for learning R. This handy guide contains basic information on statistics for undergraduates and graduate students, shown in the R statistical language using RStudio. The book is geared toward social and behavioral science statistics students, especially those with no background in computer science. Written as a companion book to be used alongside a larger introductory statistics text, the text follows the most common progression of statistics for social scientists. The guide also serves as a companion for conducting data analysis in a research methods course or as a stand-alone R and statistics text. This guide can teach anyone how to use R to analyze data, and uses frequent reminders of basic statistical concepts to accompany instructions in R to help walk students through the basics of learning how to use R for statistics"--

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