I took the SNA course by Lada Adamic in coursera. It's a super interesting course. In fact, I was using the networks only how a visualization tool, and that is what it make me little bit embarrassing because there are more, a lot of more. You can detec...
Blog Archives
What does it say about r?
The last post I show a way to plot a gexf file in R using the rgexf package and the Sigmajs library. Now we need some data to use that piece of code. So I've decided obtain the tweets about R. For this I've used the twitteR package and search "#rs...
Having fun with rgefx package and sigmajs in R
The las week I knew the r package rgexf made by George Vega Yon. Rgexf is a R library to work with GEXF graph files. This type of files allow represent networks in a xml. So, if you have a list of nodes and a data frame of edges (source-target) you can obtain a gexf file with write.gexf...
Credit Scoring in R 101
In this post we'll fit some predicitve models in (well know) data bases, and evalute the performance of each model. Disclaimer1: for simplicity the predictive variables are treating without apply any transformation to get a better performance or stabil...
A brief script on Geographical data analysis in R
I saw this post and I decided to replicated that good example but with data closer to me, particulary data of my country. So, I've got the shape data of the capital of my country (You can download the data from here). The data comes from the 2002 CENSO...
K-means in images and R
In an image each pixel is a color and that color hava a RGB representation, this means each color is represented by a triplet. For example the red in this representation is (250, 0, 0), black is (0,0,0) and white is (250, 250, 250) (see here more ...
Testing highlight.js with r code
I searched for a javascript plugin to highlighter code, but obviously not any code. I needed to higlight R. Finally I founded highlight.js. Highlights.js is pretty cool for many reasons. I like Highlights.js because: Support R lenguage....
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
