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Statistics With R: Solving Problems Using Real-World Data

English

By (author): Jenine K. Harris

Recipient of a 2021 Most Promising New Textbook Award from the Textbook & Academic Authors Association (TAA)

Statistics with R is easily the most accessible and almost fun introduction to statistics and R that I have read. Even the most hesitant student is likely to embrace the material with this text.

David A.M. Peterson, Department of Political Science, Iowa State University

Drawing on examples from across the social and behavioral sciences, Statistics with R: Solving Problems Using Real-World Data introduces foundational statistics concepts with beginner-friendly R programming in an exploration of the worlds tricky problems faced by the R Team characters. Inspired by the programming group R Ladies, the R Team works together to master the skills of statistical analysis and data visualization to untangle real-world, messy data using R. The storylines draw students into investigating contemporary issues such as marijuana legalization, voter registration, and the opioid epidemic, and lead them step-by-step through full-color illustrations of R statistics and interactive exercises.
 
Included with this title:

The password-protected Instructor Resource Site (formally known as SAGE Edge)
offers access to all text-specific resources, including a test bank and editable, chapter-specific PowerPoint® slides. See more
Current price €149.39
Original price €165.99
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Product Details
  • Weight: 1630g
  • Dimensions: 203 x 254mm
  • Publication Date: 01 May 2020
  • Publisher: SAGE Publications Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781506388151

About Jenine K. Harris

Jenine K. Harris earned her doctorate in public health studies and biostatistics from Saint Louis University School of Public Health in 2008. Currently she teaches biostatistics courses as an Associate Professor in the Brown School public health program at Washington University in St. Louis. In 2013 she authored An Introduction to Exponential Random Graph Modeling which was published in the Sage Quantitative Applications in the Social Sciences series and is accompanied by the ergmharris R package available on the Comprehensive R Archive Network (CRAN). She is an author on more than 80 peer-reviewed publications and developed and published the odds.n.ends R package available on the CRAN. She is the leader of R-Ladies St. Louis which she co-founded with Chelsea West in 2017 (@rladiesstl). R-Ladies St. Louis is a local chapter of R-Ladies Global (@rladiesglobal) an organization devoted promoting gender diversity in the R community. Her recent research interests focus on improving the quality of research in public health by using reproducible research practices throughout the research process. 

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