RKWard is written in C++ and although it can run in numerous environments, it was designed for and integrates the KDE desktop environment with the Qt (software)libraries.
RKWard aims to be easy to use, both for people with deep knowledge of R, and for users who, although they have experience in statistics, are not familiar with the language. The application design offers the possibility of using the graphic tools as well as ignoring many of them and using the program as integrated development environment.
It includes a workspace viewer, which gives access to packages, functions and variables loaded by R or imported from other sources. It also has a file viewer, and data set editing windows, display of the contents of the variables, help, command log and HTML output.
It also offers components that help in code editing and direct order execution, such as the script window and the R console, where you can enter complete commands or programs as you would in the original R text interface. It provides additional help such as syntax coloring documentation of functions while writing, and includes the feature of capturing graphs or emerging dialogs produced by offering additional options for handling, saving and exporting them.
Package Management
The R package management is carried out through a configuration dialog that allows one to, either automatically (because a plug-in requires it) or manually, install new packages from the repository's official project, update existing ones, delete them or upload / download them from the workspace.
Add-ons system
Thanks to its add-ons system RKWard constantly expands the number of functions that can be accessed without writing the code directly. These components allow, from a graphical user interface, instructions to be generated in R for the most common or complex statistical operations. In this way, even without having deep knowledge about the language it is possible to perform advanced data analysis or elaborated graphs. The results of the computations are formatted and presented as HTML, making it possible, with a single click and drag, to export tables and graphs to, for example, office suites.
rk.Teaching
RKTeaching (stylized as rk.Teaching) is a package specially designed for use in teaching and learning statistics, integrating modern packages (such as R2HTML, plyr and ggplot2 among others) as RKWard native outputs. As of 2020, RKTeaching is in version 1.3.0.[1]
^Sánchez Alberca, Alfredo. "rkTeaching: An R package for teaching and learning Statistics". rkTeaching. Retrieved 3 March 2020.
External links
RKWard homepage
'RKWard: A Comprehensive Graphical User Interface and Integrated Development Environment for Statistical Analysis with R', Stefan Rödiger, Thomas Friedrichsmeier, Prasenjit Kapat, Meik Michalke, Journal of Statistical Software
June 19, 2023
rkward, transparent, front, programming, language, scripting, language, with, strong, focus, statistics, functions, tries, combine, power, language, with, ease, commercial, statistical, packages, screenshotdeveloper, communitystable, release0, october, 2022, m. RKWard is a transparent front end to the R programming language a scripting language with a strong focus on statistics functions RKWard tries to combine the power of the R language with the ease of use of commercial statistical packages RKWardRKWard screenshotDeveloper s RKWard communityStable release0 7 5 October 24 2022 7 months ago 2022 10 24 Repositoryinvent wbr kde wbr org wbr education wbr rkwardWritten inC ECMAScriptOperating systemBSD Linux OS X Unix WindowsTypeStatistical softwareLicenseGNU General Public LicenseWebsiterkward wbr kde wbr orgRKWard is written in C and although it can run in numerous environments it was designed for and integrates the KDE desktop environment with the Qt software libraries Contents 1 Features 1 1 Interface 1 2 Package Management 1 3 Add ons system 1 3 1 rk Teaching 2 See also 3 References 4 External linksFeatures EditRKWard s features include Spreadsheet like data editor Syntax highlighting code folding and code completion Data import e g SPSS Stata and CSV Plot preview and browsable history R package management Workspace browser GUI dialogs for all kinds of statistics and plotsInterface Edit RKWard aims to be easy to use both for people with deep knowledge of R and for users who although they have experience in statistics are not familiar with the language The application design offers the possibility of using the graphic tools as well as ignoring many of them and using the program as integrated development environment It includes a workspace viewer which gives access to packages functions and variables loaded by R or imported from other sources It also has a file viewer and data set editing windows display of the contents of the variables help command log and HTML output It also offers components that help in code editing and direct order execution such as the script window and the R console where you can enter complete commands or programs as you would in the original R text interface It provides additional help such as syntax coloring documentation of functions while writing and includes the feature of capturing graphs or emerging dialogs produced by offering additional options for handling saving and exporting them Package Management Edit The R package management is carried out through a configuration dialog that allows one to either automatically because a plug in requires it or manually install new packages from the repository s official project update existing ones delete them or upload download them from the workspace Add ons system Edit Thanks to its add ons system RKWard constantly expands the number of functions that can be accessed without writing the code directly These components allow from a graphical user interface instructions to be generated in R for the most common or complex statistical operations In this way even without having deep knowledge about the language it is possible to perform advanced data analysis or elaborated graphs The results of the computations are formatted and presented as HTML making it possible with a single click and drag to export tables and graphs to for example office suites rk Teaching Edit RKTeaching stylized as rk Teaching is a package specially designed for use in teaching and learning statistics integrating modern packages such as R2HTML plyr and ggplot2 among others as RKWard native outputs As of 2020 RKTeaching is in version 1 3 0 1 See also EditComparison of statistical packages R interfacesReferences Edit Sanchez Alberca Alfredo rkTeaching An R package for teaching and learning Statistics rkTeaching Retrieved 3 March 2020 External links EditRKWard homepage RKWard A Comprehensive Graphical User Interface and Integrated Development Environment for Statistical Analysis with R Stefan Rodiger Thomas Friedrichsmeier Prasenjit Kapat Meik Michalke Journal of Statistical Software Retrieved from https en wikipedia org w index php title RKWard amp oldid 1135963572, wikipedia, wiki, book, books, library,
