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.
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.
Features RKWard's features include Spreadsheet-like data editor Syntax highlighting, code folding and code completion Data import (e.g. SPSS, Stata, CSV and Excel through package `rio`) Plot preview and browsable history R package management Workspace browser GUI dialogs for all kinds of statistics and plots
Interface 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.
Furthermore, it also offers components that help in code editing and direct order execution, such as the script window and the R console, where one can enter complete commands or programs as one would in the original R text interface. Likewise, 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.
In recent versions, RKWard includes integration with RMarkdown such as highlighting, preview, and exporting. It has also included an integration with git for projects version control.
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.
Add-ons available through The Comprehensive R Archive Network (CRAN) +List of add-ons available on CRAN Name Version Description 1.1-4 Statistical tests for the comparison between two correlations based on either independent or dependent groups. Dependent correlations can either be overlapping or nonoverlapping. 1.0-1 Statistical Comparisons of Two or more Alpha Coefficients. Statistical tests for the comparison between two or more alpha coefficients based on either dependent or independent groups of individuals. 0.12-14 Multiple Choice Test Evaluation A set of functions designed to quickly generate results of a multiple choice test. 0.13-8 Text Analysis with Emphasis on POS Tagging, Readability, and Lexical Diversity
List of add-ons available on RKWard Repository KDE application data +List of add-ons available on the RKWard Mirror Name Version Description 0.02.8 An RKWard plugin to calculate Aiken's coefficients for content validity (V) and homogeneity (H). 0.01-23 RKWard GUI to conduct ANOVAs (using the ez package), pairwise t-Tests and plot interactions. 0.01-15 RKWard GUI to conduct k-means, model based and hierarchical cluster analyses. 0.01-9 RKWard GUI to calculate Cohen's Kappa 0.01.9 An RKWard plugin to split concatenated columns into a long or wide format using the cSplit() function from the 'splitstackshape' package. 0.01-0 Adds a dialog to install or update an AppImage of RKWard. 0.1.3 An RKWard plugin for data table combination and manipulation using the 'dplyr' library. 0.01-16 RKWard GUI to conduct principal component and factor analysis. 0.1.7 An RKWard plugin package for factor manipulation using the 'forcats' library. 0.1.3 A plugin package analyze complex survey designs with custom plugins and the 'ggsurvey' package. 0.2-1 RKWard GUI to install R packges directly from git or subversion repositories. 0.0.7 RKWard GUI for sub() and gsub() to find and replace patterns in character vectors. 0.1.0 An RKWard plugin to generate summary tables using the 'gtsummary' package, supporting both standard data.frames (tbl_summary) and survey design objects (tbl_svysummary). 0.6.0 RKWard GUI for multidimensional scaling. 0.01.8 An RKWard plugin to reshape data by pivoting it longer or wider using functions from the 'tidyr' package. 0.1.0 An RKWard plugin for string manipulation using the 'stringr' library. 0.7.6 A plugin package to create and analyze complex survey designs using the 'survey' package. 0.01.2 An RKWard plugin to transpose a data frame, turning rows into columns and columns into rows. 1.4.0 A plugin with basic utilities for teaching statistics, and gives access to most common commands for data manipulation, probabilities, distributions, descriptive statistics (tables, measures and graphics), parametric tests, non-parametric tests, correlations and regressions. 0.10-3 A Collection of Tools for RKWard Plugin Development. 0.11-1 A Simple XML Tree Parser and Generator.
Other add-ons available on GitHub +List of add-ons available at AlfCano GitHub repository and on alfcano r-universe n Name Version Description 1 rk.aiken.v 0.02.9An RKWard plugin to calculate Aiken's coefficients for content validity (V) and homogeneity (H). 2 rk.apyramid 0.1.3Provides a graphical interface for the {apyramid} package within RKWard. It allows users to create publication-quality population pyramids from both standard data frames and complex survey design objects (svydesign) with minimal effort. 3 rk.bayesian 0.0.2It is an external plug-in for RKWard that introduces a full suite of Bayesian statistical tests powered by the `BayesFactor` package. It is designed to provide "Jamovi-like" output, including Bayes Factors, posterior effect size estimates, descriptive statistics, and visualization plots. 4 rk.cartographr 0.1.2An RKWard plugin package for creating beautiful maps using the cartographr R package. This plugin provides a graphical user interface (GUI) to fetch data from OpenStreetMap and generate customizable map plots directly within RKWard. 5 rk.case.if 0.0.1It is an advanced RKWard GUI plugin suite designed to handle the most common and frustrating data wrangling tasks: conditional recoding and repairing broken dates. 6 rk.class.lists 0.0.2This package provides a suite of RKWard plugins designed to simplify the manipulation of R object classes and data structures. It offers a graphical interface for coercing objects (e.g., converting a matrix to a data frame), changing vector types (e.g., numeric to factor), and performing complex list operations (creating, appending, and extracting elements). 7 rk.codebook 0.0.2rk.codebook generates professional HTML data dictionaries directly within RKWard. It bridges the gap between RKWard's internal variable labels and standard R reporting tools (powered by sjPlot), allowing you to create instant "Codebooks" for your datasets.8rk.correspondence0.0.1rk.correspondence brings modern, visually appealing multivariate statistics to the RKWard GUI. Powered by the industry-standard FactoMineR and factoextra packages, this plugin provides an intuitive, "R Commander-style" interface to compute and visualize Simple and Multiple Correspondence Analysis without writing a single line of code.9rk.cSplit0.01.10An RKWard plugin to split concatenated columns into a long or wide format using the cSplit() function from the 'splitstackshape' package.10rk.ctables0.0.2rk.ctables is an RKWard plugin that brings the power of SPSS-style "Custom Tables" (CTABLES) to R. Powered by the [expss](https://gdemin.github.io/expss/) package, it allows you to build complex hierarchical tables using a simple drag-and-drop interface, bridging the gap for users migrating from SPSS to R11rk.data.wrangling0.1.3rk.data.wrangling brings modern, "tidy" data manipulation tools to the RKWard GUI. It provides a user-friendly interface for the powerful dplyr package, allowing users to perform complex batch operations—transformations, recoding, and scoring—on multiple variables simultaneously without writing complex code.12rk.dates0.0.3This package provides a single, powerful RKWard plugin designed to convert various numeric and character representations of dates and times into R's standard POSIXct (date-time) format. It simplifies the often-tricky process of handling date/time data imported from other statistical software or sources.13rk.ddi.import0.0.5An RKWard plugin designed to streamline the workflow of processing raw survey data. It reads Data Documentation Initiative (DDI) compliant XML files—commonly distributed by statistical agencies like INEGI (Mexico), DANE (Colombia), and others—and automatically applies variable descriptions and value labels to your R data frames.14rk.doe0.0.1An RKWard plugin for generating Full Factorial, Fractional Factorial, and Response Surface designs using 'DoE.base, FrF2.'. Design Generation: Create Full Factorial, Fractional Factorial, and Response Surface designs and specialized ANOVA and interaction plots for experimental designs.15rk.dplyr0.1.4An RKWard plugin for data table combination and manipulation using the 'dplyr' library.16rk.effect.sizes0.0.1rk.effect.sizes provides a seamless, point-and-click graphical interface inside RKWard to calculate effect sizes for various statistical experimental designs. Acting as a unified GUI wrapper for powerful statistical R packages like effsize, rstatix, sjstats, and rcompanion, this plugin allows users to compute essential metrics like Cohen's d, Eta Squared, and Kendall's W without writing a single line of code.17rk.exporter0.0.4rk.exporter brings seamless, automated batch exporting capabilities to the RKWard GUI. Stop wasting hours manually exporting plots one by one or copy-pasting tables into Microsoft Office.