It was great to have a little break, Spring break, although the weather didn’t feel like spring at all! During the early part of the break I worked on my final project for Jeff Leek’s data analysis...
R for Journalists
Tools for using and learning R, mostly for computational and data journalists, but everyone's welcome!
Curated by M. Edward (Ed) Borasky
In real estate, spatial data is the name of the game. Countless other domains utilize the power of this data, which is becoming more prevalent by the day. In this post I will go over a few simple, but powerful tools to get you started using using geographic information in R. GISTools provides an easy-to-use…
I am happy to introduce the padr package, which is now available on CRAN. If you frequently work with data containing a timestamp, especially automatically created data, you might find this package helpful. It solves two problems that you can be confronted with when preparing datetime data for analysis. First, data is often recorded on too low a level for your analysis. For instance the timestamp records the moment up to the second, where you want to do the analysis on an hourly level. Second, when no events toke place there are typically no data records. This is sensible from a storage perspective, but often unhelpful for analyzing the data. When calculating a moving average for example, you want missing observations to have the value 0. You don’t want them to be lacking from your set.
R Tutorial: Visualizing multivariate relationships in Large Datasets A tutorial by D.M. Wiig In two previous blog posts I discussed some techniques for visualizing relationships involving two or three variables and a large number of cases. In this tutorial I will extend that discussion to show some techniques that can be used on large datasets…
The R qgraph Package: Using R to Visualize Complex Relationships Among Variables in a Large Dataset, Part One A Tutorial by D. M. Wiig, Professor of Political Science, Grand View University In my most recent tutorials I have discussed the use of the tabplot() package to visualize multivariate mixed data types in large datasets. This…
Thanks to the R simple features project and packages like tmaps that support it, choropleth maps are now a breeze to create with R. I'll walk you through mapping median U.S. wages for IT managers. And don't miss the last step: A tiny snippet of code changes a static map into an interactive one!
You got me thinking about Watson and its unprecedented flexibility in analyzing different data sources (at least according to IBM). So how difficult it would be to analyse sentiment of one of my favorites books using R? Pretty easy actually - all thanks to new package tidytext by Juli
by Garrett Grolemund
Would you like to teach people to use R? If so, I would like to jump-start your efforts.
I'm one half of RStudio's education team, and I've taught thousands of people to use R, usually in face-to-face workshops. Over time, I've come to appreciate that teaching R in a short workshop is an unusual
Webinars and Videos On Demand Webinars and videos are presented on a variety of subjects. We will cover packages, products (both Open Source & Commercial), have guest presenters, as well as general Q&A "Office Hour" recordings. All materials will be made available and at no cost. Be sure to