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R logo. R packages are extensions to the R statistical programming language.R packages contain code, data, and documentation in a standardised collection format that can be installed by users of R, typically via a centralised software repository such as CRAN (the Comprehensive R Archive Network).
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.
It is used in statistical research, especially as a tool for ANOVA (analysis of variance) and to understand statistical inference. [4] [5] It also can be used for linear regression, [6] mixed models and Bayesian models. [7] Data is entered into a spreadsheet interface [8] that can be imported into jamovi.
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 ...
Program management tools, used to manage and track a corporation's entire Six Sigma program; DMAIC and Lean online project collaboration tools for local and global teams; Data Collection tools that feed information directly into the analysis tools and significantly reduce the time spent gathering data.
Download QR code; Print/export ... (The R statistical programming language) ... RGtk2 Package on CRAN; github This page was last ...
Rcmdr can be installed from within R, like any R package. Integration with Microsoft Excel is provided by the RExcel package, which also provides an RAndFriendsLight "bundle" graphical installer. R commander is used as a suggested learning environment for a number of R-centric academic statistics books for students and scientists. [4] [5]
tools for the preparation of transcript data; frequency counts of sentence types, words, sentences, turns of talk, syllables; aggregation using grouping variables; word extracting and visualization; statistical analysis. For higher level statistical analysis and visualization of text, qdap is integrated with R and offers integration with other ...