Roberto Palloni has a nice series of posts on using R to acquire data from the web
The Win-Vector LLC data science blog is starting a new series on using Spark and R to handle big data.
What we want to do with the “
Rand big data” series is:
Give a taste of some of the power of the
Share a “capabilities and readiness” checklist you should apply when evaluating infrastructure.
Start to publicly document
Describe some of the warts and how to work around them.
Share fun tricks and techniques that make working with
Sparkmuch easier and more effective.
Modeling Game of Thrones family network ties in R. Discusses important network measures like centrality, degree, closeness, betweenness centrality, diameter, transitivity, and others.
Example of linear regression using machine learning in R: https://datarvalue.blogspot.com/2017/05/machine-learning-linear-regression-full.html
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/