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https://github.com/antononcube/mathematicavsr
Example projects, code, and documents for comparing Mathematica with R.
https://github.com/antononcube/mathematicavsr
comparison data-analysis data-science machine-learning mathematica r time-series
Last synced: 8 days ago
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Example projects, code, and documents for comparing Mathematica with R.
- Host: GitHub
- URL: https://github.com/antononcube/mathematicavsr
- Owner: antononcube
- Created: 2015-10-22T15:10:40.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2024-08-21T13:16:16.000Z (4 months ago)
- Last Synced: 2024-08-22T14:28:29.428Z (4 months ago)
- Topics: comparison, data-analysis, data-science, machine-learning, mathematica, r, time-series
- Language: HTML
- Homepage: https://mathematicaforprediction.wordpress.com
- Size: 32.4 MB
- Stars: 53
- Watchers: 13
- Forks: 14
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Mathematica vs. R
## In brief
This repository has example projects, code, and documents for comparing
[*Mathematica*](http://www.wolfram.com/mathematica/) with
[R](https://www.r-project.org).
### Mission statement
The development in this code 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.
## License matters
All code files and executable documents are with the license GPL 3.0.
For details see [http://www.gnu.org/licenses/](http://www.gnu.org/licenses/) .
All documents are with the license Creative Commons Attribution 4.0
International (CC BY 4.0). For details see
[https://creativecommons.org/licenses/by/4.0/](https://creativecommons.org/licenses/by/4.0/) .
## Projects organization
Each project has an introductory page (README.md) that lists the
project goals, concrete steps, and links to documents and scripts with
full explanations and code.
Generally, an introductory page would also have sections with comparison
observations and development history.
Each project (generally) has two directories named "Mathematica" and
"R" that have corresponding documents and code.
Since Mathematica ships with R some projects would have only a
Mathematica-centric exposition of combining Mathematica and R
outputs into one Mathematica notebook.
Some projects have only Mathematica parts or only R parts. This is because
there are no equivalent counter-parts.
There is an attempt the corresponding Mathematica and R codes to be
very close in structure and steps flow. Often enough the structure and
flow would be different because each programming language would make certain
particular techniques easier to apply or because of certain language idioms.
## Where to begin
This presentation,
["Mathematica vs. R"](https://github.com/antononcube/MathematicaVsR/blob/master/RDocumentation/Presentations/WTC-2015/WTC-2015-Antonov-Mathematica-vs-R.pdf)
given at the
[Wolfram Technology Conference 2015](https://www.wolfram.com/events/technology-conference/2015/)
is probably a good start.
This presentation, ["Mathematica vs. R–Advanced Use Cases"](https://github.com/antononcube/MathematicaVsR/tree/master/RDocumentation/Presentations/WTC-2016)
was given at
[Wolfram Technology Conference 2016](https://www.wolfram.com/events/technology-conference/2016/). Here are recorded videos:
- YouTube : https://www.youtube.com/watch?v=NKpeOKxCUl4 .
- Wolfram Research : http://www.wolfram.com/broadcast/video.php?v=1745 .
As a warm-up of how to do the comparison see this mind-map (which is
made for Mathematica users):
[](https://github.com/antononcube/MathematicaVsR/blob/master/Mathematica-vs-R-mind-map.pdf)
## Projects overview
### Abbreviations table
Abbreviation
Definition
Abbreviation
Definition
ARL
Association rules learning
NA
numerical analysis
BofW
bag of words (model)
NLP
natural language processing
Cl
(machine learning) classification
Opt
optimization
DA
data analysis
Outl
outliers
DIng
data ingestion
Par
parallel computing
Distr
distributions of variables
QR
quantile regression
DWrang
data wrangling
Rgr
regression
GoF
goodness of fit
RLink
Mathematica's RLink
Gr
graphs
ROC
receiver operating characteristic
HPC
High Performance Computing
Sim
simulation(s)
Img
image processing
Str
strings patterns and manipulation
IUI
interactive user interface(s)
TS
time series
LSA
latent semantic analysis
Vis
visualization
MF
matrix factorization(s)
### Projects overview table
In the following table the projects in italics are partially completed --
they have only a Mathematica or an R part.
| Project | ARL | BofW | Cl | DA | DIng | Distr | DWrang | GoF | Gr | Img | IUI | Rgr | LSA | MF | NA | NLP | Opt | Outl | Par | QR | RLink | ROC | Sim | Str | TS | Vis |
|------------------------------------------------------|-----|------|----|----|------|-------|--------|-----|----|-----|-----|-----|-----|----|----|-----|-----|------|-----|----|-------|-----|-----|-----|----|-----|
| [BrowsingDataWithChernoffFaces](https://github.com/antononcube/MathematicaVsR/tree/master/Projects/BrowsingDataWithChernoffFaces) | | | | X | X | X | X | | | | | | | | | | | X | | | | | | | | X |
| [DataWrangling](https://github.com/antononcube/MathematicaVsR/tree/master/Projects/DataWrangling) | | | | X | X | | X | | | | | | | | | | | | | | | | | | | X |
| [DeepLearningExamples](https://github.com/antononcube/MathematicaVsR/tree/master/Projects/DeepLearningExamples) | | | | X | X | | X | | | | | | | | | | | | | | | | | | | X |
| [DistributionExtractionAFromGaussianNoisedMixture](https://github.com/antononcube/MathematicaVsR/tree/master/Projects/DistributionExtractionAFromGaussianNoisedMixture) | | | | | | X | | X | | | | | | | | | X | | | | | | | | | |
| [HandwrittenDigitsClassificationByMatrixFactorization](https://github.com/antononcube/MathematicaVsR/tree/master/Projects/HandwrittenDigitsClassificationByMatrixFactorization) | | | X | | X | | | | | X | | | X | X | | | | | X | | | | | | | X |
| [ODEsWithSeasonalities](https://github.com/antononcube/MathematicaVsR/tree/master/Projects/ODEsWithSeasonalities) | | | | | | | | | | | X | | | | X | | | | | | | | X | | | X |
| [ProgressiveJackpotModeling](https://github.com/antononcube/MathematicaVsR/tree/master/Projects/ProgressiveJackpotModeling) | | | | | | X | | | | | | | | | | | | | | | | | X | | | |
| [ProgressiveMachineLearning](https://github.com/antononcube/MathematicaVsR/tree/master/Projects/ProgressiveMachineLearning) | | | X | | X | | | | | | | | | | | | | | | | | X | | | | |
| [RegressionWithROC](https://github.com/antononcube/MathematicaVsR/tree/master/Projects/RegressionWithROC) | | | X | | | | | | | | | X | | | | | | | | | | X | | | | X |
| [StatementsSaliencyInPodcasts](https://github.com/antononcube/MathematicaVsR/tree/master/Projects/StatementsSaliencyInPodcasts) | | X | | | X | | | | | | X | | | | | X | | | | | | | | X | | |
| [TextAnalysisOfTrumpTweets](https://github.com/antononcube/MathematicaVsR/tree/master/Projects/TextAnalysisOfTrumpTweets) | X | X | X | X | X | | X | | | | | | | | | | | | | | X | | | X | | X |
| [TimeSeriesAnalysisWithQuantileRegression](https://github.com/antononcube/MathematicaVsR/tree/master/Projects/TimeSeriesAnalysisWithQuantileRegression) | | | | X | X | | | | | | | | | | | | | X | | X | | | | | X | X |
## 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](https://mathematicaforprediction.wordpress.com/?s=ICA)
- [Prefix trees (tries) programming and basic applications](https://mathematicaforprediction.wordpress.com/2013/12/06/tries-with-frequencies-for-data-mining/)
- High Performance Computing (HPC) projects -- Spark, H2O, etc.
- [Comparison of PCA, NNMF, and ICA over image de-noising](https://mathematicaforprediction.wordpress.com/2016/05/26/comparison-of-pca-nnmf-and-ica-over-image-de-noising/)
- Informal verification of time series co-dependency
- [Functional parsers programming and basic applications](https://mathematicaforprediction.wordpress.com/?s=functional+parsers)
- [Recommendation engines](https://github.com/antononcube/Scalable-Recommender-Framework-project)
- [Lebesgue numerical integration](https://mathematicaforprediction.wordpress.com/2016/07/01/adaptive-numerical-lebesgue-integration-by-set-measure-estimates/)
- [Conversational engines](https://github.com/antononcube/ConversationalAgents)
## Mathematica's [`RLink`](https://reference.wolfram.com/language/RLink/tutorial/Introduction.html)
For more information about *Mathematica*'s [`RLink`](https://reference.wolfram.com/language/RLink/tutorial/Introduction.html)
see
- the YouTube video ["RLink: Linking Mathematica and R"](https://www.youtube.com/watch?v=5ppY7cTy71o),
- the set-up web page guide [Setting up RLink for Mathematica](http://szhorvat.net/pelican/setting-up-rlink-for-mathematica.html).
------
## Support & appreciation
[](https://www.buymeacoffee.com/antonov70)
😅 ☕️ 😀
------
Anton Antonov
22.10.2015, Florida, USA
29.10.2022, Florida, USA (update)