Get started with an accelerated introduction to the R ecosystem,
programming language, and tools including R script and RStudio.
Utilizing many examples and projects, this book teaches you how to get
data into R and how to work with that data using R. Once grounded in the
fundamentals, the rest of Practical R 4 dives into specific projects
and examples starting with running and analyzing a survey using R and
LimeSurvey. Next, you'll carry out advanced statistical analysis using R
and MouselabWeb. Then, you'll see how R can work for you without
statistics, including how R can be used to automate data formatting,
manipulation, reporting, and custom functions.
The final part of this book discusses using R on a server; you'll build
a script with R that can run an RStudio Server and monitor a report
source for changes to alert the user when something has changed. This
project includes both regular email alerting and push notification. And,
finally, you'll use R to create a customized daily rundown report of a
person's most important information such as a weather report, daily
calendar, to-do's and more. This demonstrates how to automate such a
process so that every morning, the user navigates to the same web page
and gets the updated report.
What You Will Learn
Set up and run an R script, including installation on a new machine and
downloading and configuring R
Turn any machine into a powerful data analytics platform accessible from
anywhere with RStudio Server
Write basic R scripts and modify existing scripts to suit your own needs
Create basic HTML reports in R, inserting information as needed
Build a basic R package and distribute it
Who This Book Is For
Some prior exposure to statistics, programming, and maybe SAS is
recommended but not required.
