It's interesting. I have used Matlab for many years, but never tried R. As for as I know, there are tons of state-of-the-art library in R and Matlab.
After skimming your paper, I wander that 1) Are these library used in your code example implemented by yourself? Or other libraries are called, such as LAPACK for linear algebra? 2) Is it easy to use scheme and your library, or maybe some others, to do computational job? In practice, those who use R or Matlab want their idea to be proved quickly, not to spend time on coding style, right? If scheme can do most computational job as python numpy does, I will switch to it. On Feb 5, 2016 7:09 AM, Panicz Maciej Godek <godek.mac...@gmail.com> wrote: > > Hi, > I am pleased to announce that I just finished my booklet titled > > A Pamphlet against R > Computational Intelligence with Guile Scheme > > The pamphlet introduces (in a truly impertinent manner) a set of libraries > that I have been developing over the last few months, including topics like: > > - genetic algorithms > - fuzzy logic > - decision trees > - clusterization > > and more! > > The book (in both pdf and LaTeX) is available with the required libraries > under the Creative Commons license at > http://panicz.github.io/pamphlet/ > > Yeey! >
