Optimising the calculation of statistical functions

Statistical data analysis methods are well-known for their difficulty in handling large number of instances or large number of parameters. In this paper, we study popular and well-known statistical functions, generally applied to data analysis, and assess their performance as implemented by SPSS, MATLAB, R and our own software, DataIP. We use medium to large datasets and show that DataIP outperforms SPSS, MATLAB and R by several orders of magnitude. We argue that the design and implementation of these functions need to be rethought to adapt to today's data challenges.