For my first contribution to the blog, I wanted to make some kind of enlightening visualization of campaign finance disclosure data from the Federal Election Commission’s website. It looks like they’re working on some new, easy-to-use data dumps here, but … Continue reading →
While working for my Financial economics project I came across this elegant tool called Principal component analysis (PCA)which is an extremely powerful tool when it comes to reducing the dimentionality of a data set comprising of highly correlated var...
I normally work with full numerical data, not categorical data. R, when using read.csv() seems to recognize such categories and marks the column as to have factor levels. This is useful indeed. However, I wanted to make a PCA biplot on this data, so wa...
Over the past couple of days I played around with the data sets of the World Bank, and I have to admit that I am blown away by it. It is amazing, to see what is available on their web site. It is worth visiting their Data Visualisation Tools page. It i...
R code examples on various clustering techniques are available as “Clustering in R” in Chapter 4 of R & Bioconductor Manual by Thomas Girke, UC Riverside. It provides R examples on - Hierarchical Clustering, including tree cutting/coloring and heatmaps, - … Continue reading →
Lately, I've been using statistical tests on a daily basis. I've noticed that I have to format my data the same way in order to get it into R (tab-delimited flat file essentially). Every other change in order to prep that data structure for any sort of...
My daughter's best friend lives just down the street. Her mother runs a cupcake shop that's just a little further down the street. Being eleven going on sixteen, my daughter fancies herself a "quote" -- worker at the shop. She's not paid in actual mone...
As usual, the Guerrilla Data Analysis Techniques (GDAT) class was a total blast. Motivated students always guarantee that. It would really help our scheduling, however, if people didn't wait until the last nanosecond to register for the class. But give...
In recent years many R packages have been developed to enable image analysis in R. As an alternative the combination of R with a powerful image analysis software like ImageJ offers many advanced image analysis interfaces and algorithms not yet available in R. Bio7 integrates both applications in a Rich Client Plattform based on Eclipse
If you are investigating the change of CO2 emissions, then you might ask: Where do the changes occur? Well here is the answer.
The staircase plots show the contributing factors to CO2 emissions for each continent. population refers to population effects, gdp_pcap refers to income per capita, energy_intensity refers to energy used per dollar added value, and carbon intensity...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
