G-test and R (programming language)

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

Difference between G-test and R (programming language)

G-test vs. R (programming language)

In statistics, G-tests are likelihood-ratio or maximum likelihood statistical significance tests that are increasingly being used in situations where chi-squared tests were previously recommended. 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 G-test and R (programming language)

G-test and R (programming language) have 2 things in common (in Unionpedia): SAS (software), Stata.

SAS (software)

SAS (previously "Statistical Analysis System") is a software suite developed by SAS Institute for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics.

G-test and SAS (software) · R (programming language) and SAS (software) · See more »

Stata

Stata is a general-purpose statistical software package created in 1985 by StataCorp.

G-test and Stata · R (programming language) and Stata · See more »

The list above answers the following questions

What G-test and R (programming language) have in common
What are the similarities between G-test and R (programming language)

G-test and R (programming language) Comparison

G-test has 29 relations, while R (programming language) has 146. As they have in common 2, the Jaccard index is 1.14% = 2 / (29 + 146).

References

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

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