Now that I’m on my winter break, I’ve been taking a little bit of time to read up on some modelling techniques that I’ve never used before. Two such techniques are Random Forests and Conditional Trees. Since both can be used … Continue reading →

Logistic Regression In my first blog post, I have explained about the what is regression? And how linear regression model is generated in R? In this post, I will explain what is logistic regression? And how the logistic regression model is generated in R? Let’s first understand logistic regression. Logistic regression is one of the

The other day Critical Juncture put up an API for the Federal Register. I thought it would be great if there was a package that could use this API to download data directly into R (much like the excellent WDI package). This would make it easier to anal...

By Earl F Glynn | Franklin Center This article shows how to analyze Montana voter registration files using R. The Montana Secretary of State sells two files of voter registration records for a fee of $1000: Statewide Voter File Voter History File The Montana Secretary of State provides information about the two files on this

By Earl F Glynn | Franklin Center A comparison of US Census voting age population data in Virginia to voter registration data shows only one locality, Surry County, with about 100% of the voting age population registered to vote. Six other localities have about 95% of their voting age population registered: Craig County, Isle of

Logistic Regression is a popular and effective technique for modeling categorical outcomes as a function of both continuous and categorical variables. The question is: how robust is it? Or: how robust are the common implementations? (note: we are using robust in a more standard English sense of performs well for all inputs, not in the Related posts:

Piecewise regression comes about when you have ‘breakpoints’, where there are clearly two different linear relationships in the data with a sudden, sharp change in directionality. This crops up occasionally in ecology when dealing with, for example, species richness of understory plants … Continue reading →