Learning R is easier if you can apply it to a real-world problem. Broken links are a problem for anyone who owns or maintains their own website. In this video series, I’ll step through an analysis of a broken links dataset using R.
I’m building a free online resource for R on top of my personal blog over at EverydayR.com. The basic idea is to share, learn and explore R together. Hopefully, we’ll both come out better.
In addition to using systems of WordPress blog maintenance, you can also take another step along the lines of test-driven infrastructure: automated tests.
In a previous post, I described a simple, quick and easy solution for recording newborn feedings, dirty diapers and just about anything of interest. Here’s the first part of the implementation: entering the data.
5 years ago, Daily Morn was launched. Although the blog has been active, the Linode, system configuration and packages were left largely unchanged (minus software updates). Today, that’s now changed!
Exchangeability martingales can be used to find strange or odd data points. The mechanics of exchangeability martingales is still a bit of a mystery to me. However, posted below are the basic components and how each step gets us to the desired result of an exchangeability martingale.