Recusos de R, RKWard, Rmd, QC...

rk plug-ins

Plug-ins of RKWard in github

Plug-ins of RKWard in github

1. 📊 Core Statistics & Psychology

2. 🏭 Industrial Engineering & Quality Control

3. 📋 Survey Analysis & Reporting

4. 🧹 Data Wrangling & Manipulation

5. 🔌 Connectivity & Utilities

AlfCano - Repositories

1. 📊 Core Statistics & Psychology

Tools for general statistical analysis, hypothesis testing, and psychometrics.

GitHub - AlfCano/rk.aiken_v: An RKWard plugin to calculate Aiken's V and its score confidence intervals for content validity. Features tabular output, ggplot2 visualization, and a live plot preview.

GitHub - AlfCano/rk.psych: Is a RKWard plug-in that consolidates frequentist statistical tests, assumption checks, effect sizes, and visualizations into single "All-in-One" dialogs.

GitHub - AlfCano/rk.bayesian: It 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.

GitHub - AlfCano/rk.lavaan: It is an RKWard plugin that provides a graphical interface for lavaan (Latent Variable Analysis), the gold standard for Structural Equation Modeling in R. It allows researchers to specify models using standard syntax, fit them using various estimators, and visualize the results using semPlot package.

GitHub - AlfCano/rk.survival: Modern Survival Analysis for RKWard upgrades the survival analysis capabilities of RKWard by integrating the powerful survival and survminer It allows users to perform rigorous survival analysis and generate publication-quality, `ggplot2`-based visualizations (Kaplan-Meier curves, Forest plots, and Diagnostic plots) via a simple GUI.

2. 🏭 Industrial Engineering & Quality Control

Specialized tools for process improvement, reliability, and experimental design.

GitHub - AlfCano/rk.qcc: It is an RKWard plugin that provides a graphical interface for the [qcc](https://cran.r-project.org/package=qcc) package. It enables industrial engineers and data analysts to create standard Statistical Process Control (SPC) charts and perform Capability Analysis without writing R code.

GitHub - AlfCano/rk.six.sigma: It is designed to bridge the gap between open-source R statistics and commercial quality control software like Minitab or Bluesky Statistics. It provides a user-friendly GUI for performing Measurement System Analysis (MSA) and Process Capability studies, leveraging the power of the `SixSigma`, `irr`, and `MASS` packages.

GitHub - AlfCano/rk.doe: An 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.

GitHub - AlfCano/rk.weibull: Is an external plug-in for RKWard that brings industrial-grade Reliability Engineering tools to the RKWard environment. It interfaces with the open-source `WeibullR` package to perform Life Data Analysis (Weibull Analysis) and Warranty Prediction, serving as a free alternative to software like ReliaSoft Weibull or Minitab's Reliability module.

3. 📋 Survey Analysis & Reporting

Tools for handling complex survey designs, multiple response sets, and generating reports.

GitHub - AlfCano/rk.gtsummary: An RKWard plugin to generate summary tables using the 'gtsummary' package, supporting both standard data.frames (tbl_summary) and survey design objects (tbl_svysummary).

GitHub - AlfCano/rk.survey.design: This plugin will generate and execute the R code needed to create a `survey.design` object based on your selections, and display a summary of the design object in the RKWard results window.

GitHub - AlfCano/rk.ggsurvey: A plugin package analyze complex survey designs with custom plugins and the 'ggsurvey' package.

GitHub - AlfCano/rk.svyplot: This package provides an RKWard GUI front-end for the base graphics plotting functions included in the powerful **`survey`** package. It allows users to create survey-weighted plots, which can be more representative than standard plots, without writing R code.

GitHub - AlfCano/rk.questionr: A plugin package to analyze complex survey designs with custom plugins and the 'questionr' package.

GitHub - AlfCano/rk.flextable: rk.flextable is an RKWard plugin that provides a graphical interface for the powerful [`flextable`](https://davidgohel.github.io/flextable/) package. It allows users to easily create, format, and export professional tables for scientific publications and reports directly from the RKWard GUI, without writing complex R code.

GitHub - AlfCano/rk.mult.resp: This package provides a suite of RKWard plugins for analyzing **Multiple Response Sets** (also known as "Check-all-that-apply" questions). Powered by the **`expss`** package, it brings SPSS-style tables and logic to RKWard, allowing you to define, tabulate, and cross-tabulate complex survey data without writing code.

GitHub - AlfCano/rk.codebook: It 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](https://strengejacke.github.io/sjPlot/)), allowing you to create instant "Codebooks" for your datasets.

GitHub - AlfCano/rk.ctables: rk.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 R.

GitHub - AlfCano/rk.survey.wrangling: Extends RKWard’s capabilities to handle complex survey designs (svydesign objects). It leverages the {srvyr} package to apply modern, “tidy” manipulation verbs (like mutate, group_by, and across) to survey data while automatically preserving sampling weights, stratification, and variance estimation parameters.

4. 🧹 Data Wrangling & Manipulation

The “Swiss Army Knife” tools to clean, reshape, and prepare data before analysis.

GitHub - AlfCano/rk.transpose.df: A simple transpose data.frame plug-in

GitHub - AlfCano/rk.pivot.reshape: This plugin package provides two powerful data reshaping tools within the RKWard graphical user interface, making common data wrangling tasks more accessible. It acts as a friendly front-end for two core functions from the popular `tidyr` package

GitHub - AlfCano/rk.cSplit: This plugin provides a robust graphical user interface within RKWard for splitting columns that contain delimited or concatenated data. It serves as a user-friendly front-end for the powerful `cSplit()` function from the `splitstackshape` package.

GitHub - AlfCano/rk.class.lists: This 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)

GitHub - AlfCano/rk.dplyr: RKWard plugin for dplyr table combinations.

GitHub - AlfCano/rk.tidyr: This package provides a suite of RKWard plugins that create a graphical user interface for data manipulation using the powerful `tidyr`, `dplyr`, and `tibble` libraries. It is designed to help users reshape data, handle missing values, and manage nested data structures—core tasks for achieving "Tidy Data"—without writing complex code manually.

GitHub - AlfCano/rk.forcats: This package provides a suite of RKWard plugins that create a graphical user interface for common and powerful functions from the popular `forcats` R package. It is designed to make factor manipulation—a common but often tedious task in R—more accessible and intuitive for RKWard users.

GitHub - AlfCano/rk.stringr: Provides a user-friendly graphical interface for the powerful stringr package, bringing modern, consistent, and intuitive string manipulation directly into your RKWard workflow.

GitHub - AlfCano/rk.lubridate: An RKWard plugin package for working with dates and times data using the 'lubridate' library.

GitHub - AlfCano/rk.dates: This 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.

GitHub - AlfCano/rk.names.labels: A plugin package to clean and create names and labels of variables of a data.frame or manipulate names in a list in the Rkward GUI.

GitHub - AlfCano/rk.gsub.sub: An RKWard plugin that provides a graphical user interface (GUI) for the base R functions `sub()` and `gsub()`. This tool allows users to perform powerful pattern finding and replacement on character vectors without needing to write code.

GitHub - AlfCano/rk.lookup: An RKWard plugin for looking up values using the 'lookup' package. Features a single interface for both Vector-based lookup and Excel-style Vlookup.

GitHub - AlfCano/rk.janitor: This package provides a suite of RKWard plugins that create a graphical user interface for the **[janitor](https://github.com/sfirke/janitor)** R package. It implements a "Inspect -> Clean -> Validate" workflow, allowing users to sanitize dataframes, manage duplicates, and create publication-ready frequency tables without writing code.

GitHub - AlfCano/rk.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.

5. 🔌 Connectivity & Utilities

Tools for importing data or extending functionality.

GitHub - AlfCano/rk.shiny.plugins: Create a GUI for shiny plugins in RKWard

GitHub - AlfCano/rk.googlesheets4: This package provides a suite of RKWard plugins that create a graphical user interface for the popular `googlesheets4` R package. It is designed to bridge the gap between desktop RKWard sessions and cloud-based Google Sheets, allowing for authentication, reading, writing, and management of sheets without needing to memorize API functions.

GitHub - AlfCano/rk.cartographr: An 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.

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