24 Days of R: Day 23

Penultimate post, I'm going to take a quick look at the Gini indicator for wealth inequality. Data comes from the World Bank. I've downloaded the zipped file, decompressed it and given it a different name. I'm going to read the data and melt it. This will give us a decent set of data. How does [...]

Posted in RTagged

Hurricanes in South Carolina

In a recent post, I discussed the occurrence of hurricanes in the North Atlantic basin. The data comes from the National Oceanic and Atmospheric Association, a member of the US federal government and it spans a bit more than 150 years. In that post, I make the observation that the data supports a model wherein [...]

Object Orientation in R – Notes from a novice

Having posted some code to Git a few days ago and having been wholly dissatisfied with it, I began to do what I often do with code I don't like. I started re-writing it bigger and weirder and more philosophically pure. Part of this search for Platonic code lead me to explore object oriented programming [...]

Loss reserving has a new, silly name

I started using Git some time ago, but mostly for local work files. Today, I finally sync'ed up a repository for loss reserving analysis. It may be found here: https://github.com/PirateGrunt/MRMR MRMR stands for Multivariate Regression Model for Reserves. When pronounced "Mister Mister" it also sounds like a thankfully forgotten American soft pop band from the [...]

You can’t spell loss reserving without R

Last year, I spent a morning trying to return to first principles when modeling loss reserves. (Brief aside to non-actuaries: a loss reserve is the financial provision set aside to pay for claims which have either not yet settled, or have not yet been reported. If that doesn't sound fascinating, this will likely be a [...]