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 calculating salesmen commissions, then providing a report to each salesperson in their email.
Chapter 7: Recipe 4: The R Powered Presentation* Discusses a real-world scenario where a presentation must be given that includes real-time data collection.* Participants during the presentation can take a quick survey (Using Google Forms), which will then be analyzed during the presentation and reported by the speaker.* Discusses how R can create and export results nearly instantly, right on a speaker's laptop during the presentation.
Chapter 8: R Anywhere* Final part of the book discusses using R on a server for always-on analytics, using open source software (RStudio Server). * The computing requirements for such a system, and how one sets it up either on a spare machine or on a dedicated Virtual Private Server.* Potential uses for such a setup, from analysis from devices that don't support R (e.g., an iPad), or analysis for long-running tasks.
Chapter 9: Recipe 5: The Change Alert!* Often work life requires one to check reports or other items to see if something has changed - perhaps a new person has been added to a team, or a new student added to a class.* This recipe demonstrates how to build a script with R that can run on an RStudio Server and monitor a report source for changes, and alert the user when something has changed.* This recipe demonstrates not only regular email alerting, but also push notification alerting through the service Pushover, an ultra low-cost ($4.99, one time) option for customized push notifications.
Chapter 10: Recipe 6: The R Personal Assistant* Demonstrates how to use R to create a customized daily rundown report of a person's most important information, such as the weather report, daily calendar, to-dos, and more.* Demonstrates how to automate such a process so that every morning the user navigates to the same webpage and gets the updated report. * Demonstrates how to build a simple skill in Amazon Alexa that will read the report daily as the user's command.
