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  2. JASP - Wikipedia

    en.wikipedia.org/wiki/JASP

    Summary statistics: Apply common Bayesian tests from frequentist summary statistics for t-test, regression, and binomial tests. Survival Analyses: non- & semi-parametric; Time Series: Time series analysis. Visual Modeling: Graphically explore the dependencies between variables. R Console: Execute R code in a console.

  3. Summary statistics - Wikipedia

    en.wikipedia.org/wiki/Summary_statistics

    A common collection of order statistics used as summary statistics are the five-number summary, sometimes extended to a seven-number summary, and the associated box plot. Entries in an analysis of variance table can also be regarded as summary statistics. [1]: 378

  4. Five-number summary - Wikipedia

    en.wikipedia.org/wiki/Five-number_summary

    The five-number summary is a set of descriptive statistics that provides information about a dataset. It consists of the five most important sample percentiles : the sample minimum (smallest observation)

  5. R (programming language) - Wikipedia

    en.wikipedia.org/wiki/R_(programming_language)

    R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.

  6. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    SuperCROSS – comprehensive statistics package with ad-hoc, cross tabulation analysis; Systat – general statistics package; The Unscrambler – free-to-try commercial multivariate analysis software for Windows; Unistat – general statistics package that can also work as Excel add-in; WarpPLS – statistics package used in structural ...

  7. Category:Articles with example R code - Wikipedia

    en.wikipedia.org/wiki/Category:Articles_with...

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  8. Programming with Big Data in R - Wikipedia

    en.wikipedia.org/wiki/Programming_with_Big_Data_in_R

    Programming with Big Data in R (pbdR) [1] is a series of R packages and an environment for statistical computing with big data by using high-performance statistical computation. [ 2 ] [ 3 ] The pbdR uses the same programming language as R with S3/S4 classes and methods which is used among statisticians and data miners for developing statistical ...

  9. Category:Summary statistics - Wikipedia

    en.wikipedia.org/wiki/Category:Summary_statistics

    Pages in category "Summary statistics" The following 42 pages are in this category, out of 42 total. ... Code of Conduct; Developers; Statistics; Cookie statement;