In my previous posts (1 and 2) I wrote about maps with complex legends but without any kind of interactivity. …Continuar leyendo »

Visualization is a key to success in regression analysis. This is one of the (many) reasons I am also suspicious when I read an article with a quantitative (econometric) analysis without any graph. Consider for instance the following dataset, obtained from http://data.worldbank.org/, with, for each country, the GDP per capita (in some common currency) and the infant mortality rate...

In my previous post I presented my findings from my finance project under the guidance of Dr Susan Thomas. The results in my paper suggested that there are macroeconomic variables, particularly the INR/USD exchange rates, that help us understand the dynamics of stock returns. Although the results that I obtained were significant at 5%...

Yesterday I pushed an update of my analogue package to CRAN. The new version is 0.8-0 and contains some new functions, several bug fixes and a major change arising from additions to R 2.14.x requiring all packages to have a namespace. analogue now has its own namespace rather than relying on...

R is used extensively in the financial industry; many of my recent clients have been working in or developing products for the financial sector. Some common applications are to use R to analyze market data and evaluate quantitative trading strategies. Custom solutions are almost always the best way to do this, but the quantstrat package The post Installing...

Last year, the Statistics and Mathematics Department of the Vienna University School of Economics and Business presented a research seminar series on optimization, taught by R Core Group member Kurt Hornik (with Ronald Hochreiter and Stefan Theussl). Even if you couldn't make it to Austria to attend the course, the course materials are available online, and make an excellent...