Speaker
Lorenzo Moneta
(CERN)
Description
ROOT is a C++ data analysis framework, providing advanced statistical methods needed by the HEP experiments for analysing their data. R is a free software framework for statistical computing, which complements the functionality of ROOT, by including some of the latest tools developed by statistics and computing research groups. We will present the ROOT-R package, a module in ROOT, which allows to use from the ROOT environment R functions using the low-level R C++ API provided by R. This interface opens the possibility to use in ROOT and with data stored in ROOT objects, the very large set of statistical tools present in R. We will describe how this interface works, by converting ROOT C++ objects in R’s objects, which can be passed to the R functions and then by converting the result back in ROOT objects. We will show as well examples how the R tools can be used inside ROOT, in particular by presenting a ROOT plug-in module based on the R optimization package, which can be used to minimise functions in ROOT and also for fitting.
Primary author
Lorenzo Moneta
(CERN)
Co-author
Omar Zapata Mesa
(Columbia)
