Mathematica vs. R at GitHub

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 blog post, and when appropriate make separate blog 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

1. BrowsingDataWithChernoffFaces

2. DataWrangling

3. DistributionExtractionAFromGaussianNoisedMixture

4. HandwrittenDigitsClassificationByMatrixFactorization

5. ODEsWithSeasonalities

6. ProgressiveJackpotModeling

7. RegressionWithROC

8. StatementsSaliencyInPodcasts

9. TextAnalysisOfTrumpTweets

10. 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