R programming, or as their originators call it a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc.

R programming has become popular not just among scientists but among many corporations and hobbyists for one reason : it is an open platform. Anyone can write and publish a R package in order to extend the features and remain free to host the packages on their website, i.e. the authors of R do not have a say on the packages, unlike application stores one can find with Apple, Google and Microsoft. Plus, R itself is an open source project, meaning that anyone can recompile the source code and modify it to meet their needs.

With the R programming environment installed, xlsgen can interface with it by letting any client application evaluate R statements, pass data, that is from an Excel range to a R data frame, and vice versa.

workbook.R_Programming.Eval(L"myVector <- c(1,2,3,4)"); // create a R vector of 4 numbers