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Computational statistics and R (programming language)

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Computational statistics and R (programming language)

Computational statistics vs. R (programming language)

Computational statistics, or statistical computing, is the interface between statistics and computer science. R is a programming language and free software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing.

Similarities between Computational statistics and R (programming language)

Computational statistics and R (programming language) have 3 things in common (in Unionpedia): Journal of Statistical Software, List of statistical packages, The R Journal.

Journal of Statistical Software

The Journal of Statistical Software is a peer-reviewed open access scientific journal that publishes papers related to statistical software.

Computational statistics and Journal of Statistical Software · Journal of Statistical Software and R (programming language) · See more »

List of statistical packages

Statistical software are specialized computer programs for analysis in statistics and econometrics.

Computational statistics and List of statistical packages · List of statistical packages and R (programming language) · See more »

The R Journal

The R Journal is an online, open-access, refereed journal published by The R Foundation since 2009.

Computational statistics and The R Journal · R (programming language) and The R Journal · See more »

The list above answers the following questions

Computational statistics and R (programming language) Comparison

Computational statistics has 36 relations, while R (programming language) has 146. As they have in common 3, the Jaccard index is 1.65% = 3 / (36 + 146).

References

This article shows the relationship between Computational statistics and R (programming language). To access each article from which the information was extracted, please visit:

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