Introduction to R for Quantitative Finance
by Gergely Daróczi, Michael Phule, Edina Berlinger (EURO), Peter Csoka, Daniel Daniel Havran, Marton Michaletzky, Zsolt Tulassay, Kata Váradi, Agnes Vidovics-Dancs, Agnes Vidovics Dancs
What you need for this book
All the code examples provided in this book should be run in the R console that is to be installed first on a computer. You can download the software for free and find the installation instructions for all major operating systems at http://r-project.org. Although we will not cover advanced topics such as how to use R in Integrated Development Environments, there are awesome plugins for Emacs, Eclipse, vi, or Notepad++ besides other editors, and we can also highly recommend trying RStudio, which is a free and open source IDE dedicated to R.
Apart from a working R installation, we will also use some user-contributed R packages that can be easily installed from the Comprehensive R Archive Network. To install a package, ...
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