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Functional data analysis with R and MATLAB Giles Hooker, James Ramsay, Spencer Graves
Publisher: Springer

Videos on Data Analysis with R: Introductory, Intermediate, and Advanced Resources. If you want Topics include loops, time series, installing R, reading and writing data, writing a function, GLM, and using random numbers. Expressiveness ranges broadly Among data-analysis languages, R (# 17) and Scilab (#19) are most expressive. As a result software vendors at every layer of this stack Matlab, a numerical computing language used by engineers, also offers the ability to call R from Matlab on Windows. Most large organizations have a sophisticated infrastructure devoted to data analysis, with an "analytics stack" of software to provide data warehousing and query, predictive analytics, reporting, presentation, and Business Intelligence (BI). With a median of 193 LOC/commit for R, it's a clear top performer. 170 Responses to Comparison of data analysis packages: R, Matlab, SciPy, Excel, SAS, SPSS, Stata. Eric Sun says: February 23, 2009 at 8:53 pm. R is followed by Scilab and Matlab (#35) with medians of 225 and 445, respectively. Similarly in tier two, Fortran [#39/#52] and assembly [#49] are wordy, and “middle-aged” functional languages are intermediate while newer functional languages are best.