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Practical R 4

Practical R 4


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About the Book

Chapter 1: Getting Up and Running with RChapter 2: Getting Data into RChapter 3: Project 1: Launching, Analyzing, and Reporting a Survey using R and LimeSurveyChapter 4: Project 2: Advanced Statistical Analysis using R and Mouselab WebChapter 5: R in Everyday LifeChapter 6: Project 3: The R Form MailerChapter 7: Project 4: The R Powered PresentationChapter 8: R AnywhereChapter 9: Project 5: The Change Alert!Chapter 10: Project 6: The R Personal Assistant

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Chapter 1: Getting Up and Running with RChapter Goal: - Explain what R is, and what R isn't- Explain the R landscape - it's open source nature and the various ways people use it.- Explain how R is installed, what types of systems it runs on, and how the user interacts with it.- Explain the basic R script, running basic commands in R (e.g., a "Hello World") and basic computations.
Chapter 2: Feed the Beast: Getting Data into R- Explain the different types of data that R can work with, and how that data is stored.- Explain the basics of connecting R to flat files, database files, database servers, and published data on the internet.- Give examples for downloading data directly from Google Sheets, websites, and more directly from R. - Give examples of basic data scraping with R.- Explain writing of data objects to native RData format as well as other formats for interchangeable use.
Chapter 3: Recipe 1: Launching, Analyzing, and Reporting a Survey using R and LimeSurvey- Explain a real-world scenario: A survey project applicable to market research.- Discuss an open-source tool, LimeSurvey, that can be used to create a survey, collect responses, and download those responses into R.- Bring the data into R and run basic summary statistics on the data.- Take those analyses farther into inferential statistics (Linear Regression).Chapter 4: Recipe 2: Advanced Statistical Analysis using R and Mouselab Web- A deeper data scenario than Chapter 3 discussing how Mouselab Web (an open source tool) can be used to track how people view products and services and make decisions.- Introduces advanced statistical design using Linear Mixed-methods regressions.- Also introduces the idea of R packages, and the perils of using packages (e.g., concerns over future-proofing). This chapter is a very deep concept that will be presented accessibly, so that readers learn the takeaways regarding how R works and how to futureproof your R projects, but also get a bit of a unique project applicable to psychology and market research.
Chapter 5: R in Everyday Life- Perhaps you're not a statistician, you just want R to be useful to you in your job. This chapter discusses how R can be used to automate...o Data formattingo Data manipulationo Data reporting- This chapter also talks about how users can write custom functions in R to speed up their workflows.- Finally this chapter talks about how to export results from R into common desktop software such as Microsoft Office.
Chapter 6: Recipe 3: The R Form Mailer- Mail Merge is a great tool in Microsoft Office, but it's entirely graphically driven - point and click, drag and drop. What if you could script it?- This recipe discusses scripting a Mail Merge type activity - sending custom emails with report information directly from R through an email server. - Along the way we learn a bit more about data manipulation by taking long format data (sales figures) and
About the Author: Jon Westfall is an award-winning professor, published author, and practicing cognitive scientist. He teaches a variety of courses in psychology, from introduction to psychology to upper-level seminars. His current research focuses on the variables that influence economic and consumer finance decisions, and the retention of college students. With applications to both psychology and marketing, his work finds an intersection between basic and applied science. His current appointment is as an assistant professor of psychology, coordinator of the first year seminar program, and coordinator of the Okra Scholars program at Delta State University. Previously he was a visiting assistant professor at Centenary College of Louisiana, and the associate director for research and technology at the Center for Decision Sciences, a center within Columbia Business School at Columbia University in New York City. He now maintains a role with Columbia as a research affiliate and technology consultant.
In addition to his research, Dr. Westfall also has career ties in information technology, where he has worked as a consultant since 1997, founding his own firm, Bug Jr. Systems. As a consultant he has developed custom software solutions (including native Windows 32 applications, Windows .NET applications, Windows Phone 7 and Android mobile applications, as well as ASP, ASP.NET, and PHP web applications). He has also served as a senior network and systems architect and administrator (on both Windows and Unix networks, and hybrids) and has also been recognized as a Microsoft Most Valuable Professional (MVP) 2008 - 2012. He has authored several books, and presented at academic as well as technology conferences and gatherings.


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Product Details
  • ISBN-13: 9781484259450
  • Publisher: Apress
  • Publisher Imprint: Apress
  • Height: 254 mm
  • No of Pages: 318
  • Spine Width: 18 mm
  • Weight: 686 gr
  • ISBN-10: 1484259459
  • Publisher Date: 01 Jul 2020
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: Applying R to Data Manipulation, Processing and Integration
  • Width: 178 mm


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