In brief
This post is to announce the repository MathematicaVsR at GitHub that has example projects, code, and documents for comparing Mathematica with R.
My plan is to proclaim new completed Mathematica-vs-R projects here, in this discussion, and when appropriate make separate Community posts about them.
Mission statement
The development in the MathematicaVsR at GitHub repository aims to provide a collection of relatively simple but non-trivial example projects that illustrate the use of Mathematica and R in different statistical, machine learning, scientific, and software engineering programming activities.
Each of the projects has implementations and documents made with both Mathematica and R -- hopefully that would allow comparison and knowledge transfer.
Where to begin
This presentation, "Mathematica vs. R" given at the Wolfram Technology Conference 2015 is probably a good start.
As a warm-up of how to do the comparison see this mind-map (which is made for Mathematica users):
Projects overview
Abbreviations table
Projects overview table
In the following table the projects in italics are partially completed -- they have only a Mathematica or an R part. (Note that this is a screenshot, see the list of links below or the repository README.md page for a clickable table.)
- BrowsingDataWithChernoffFaces
- DataWrangling
- DistributionExtractionAFromGaussianNoisedMixture
- HandwrittenDigitsClassificationByMatrixFactorization
- ODEsWithSeasonalities
- ProgressiveJackpotModeling
- RegressionWithROC
- StatementsSaliencyInPodcasts
- TextAnalysisOfTrumpTweets
- TimeSeriesAnalysisWithQuantileRegression
Future projects
The future projects are listed in order of their completion time proximity -- the highest in the list would be committed the soonest.
Personal banking data obfuscation
Independent Component Analysis (ICA) programming and basic applications
Prefix trees (tries) programming and basic applications
High Performance Computing (HPC) projects -- Spark, H2O, etc.
Comparison of PCA, NNMF, and ICA over image de-noising
Informal verification of time series co-dependency
Functional parsers programming and basic applications
Recommendation engines
Lebesgue numerical integration
Conversational engines
