R is well established in the academic world, particularly in statistics, bioinformatics, and data analysis, owing to its specialised packages, open-source status, and analytical capabilities. MATLAB, popular in engineering and numerical analysis, offers sophisticated tools for simulation and modelling, but it carries licensing costs. For robust statistical research at low or no cost, R is preferred. Where industry-standard engineering and specialised toolboxes are needed, MATLAB excels in academic workflows.
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