The "R" Statistics library: Research Applications
David D. Allen, Abhay Pratap Singh · Australasian Journal of Paramedicine · 2012
Pros:Free.Students can have copies at home.Portable.Once students invest in learning this program, they can take it with them and install it again wherever they may end up working.Versatile.The software exists for more platforms than virtually any existing commercial program.General.A very large number of statistical/econometric tools are available, so the software could be used for many (maybe all) subjects Cutting-edge.It includes the very latest methods.Programmable.It is easy for students to program new methods or develop modifications of existing methods.Matrix language.The R language handles vectors and matrices directly (as do Gauss, Matlab and Ox).This makes programming much simpler for students and reinforces the matrix notation used in class.