Roberto Palloni has a nice series of posts on using R to acquire data from the web
Category: R
New blog series from WinVector LLC on R, Spark, and big data
The WinVector LLC data science blog is starting a new series on using Spark and R to handle big data.
Our goal
What we want to do with the “
R
and big data” series is:

Give a taste of some of the power of the
R
/Spark
combination. 
Share a “capabilities and readiness” checklist you should apply when evaluating infrastructure.

Start to publicly document
R
/Spark
best practices. 
Describe some of the warts and how to work around them.

Share fun tricks and techniques that make working with
R
/Spark
much easier and more effective.
Network analysis in R: Game of Thrones
Modeling Game of Thrones family network ties in R. Discusses important network measures like centrality, degree, closeness, betweenness centrality, diameter, transitivity, and others.
Really cool!
Linear regression and machine learning
Example of linear regression using machine learning in R: https://datarvalue.blogspot.com/2017/05/machinelearninglinearregressionfull.html
Interpreting regression coefficients
Steph Locke has a great post on interpreting regression coefficients at the Locke Data blog.
Find Steph Locke on Twitter.
Learning R in R
The swirl package offers tutorials for learning R within R.
To try it,
 open R or RStudio, install swirl by typing install.packages(“swirl”).
 Once the package is installed, load the library by typing library(swirl).
 To begin the tutorials, type swirl().
Find out more about the swirl package here: http://swirlstats.com/
Free online programming community
The Data Science Learning Club, affiliated with the Becoming a Data Scientist Podcast, offers a supportive online community learning python and R programming for data science.