Plug ins versions and descriptions

[DES Alfonso Cano Robles]

Just to keep you all posted,

Current versions and descriptions of plugins on :
https://alfcano.r-universe.dev/builds
 and on https://github.com/AlfCano
n Name Version As of May 17, 2026 Description
1 rk.ddi.import 0.0.5 An 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.
2 rk.shiny.plugins 1.2.0 rk.shiny.plugins, bundles several interactive data
visualization and analysis tools (Shiny apps and HTML widgets) into a
single, easy-to-install RKWard extension. The entire development process is
encapsulated within the R script, making it reproducible, easy to maintain,
and simple to extend with new plugins
3 rk.exporter 0.0.1 rk.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.

Powered by purrr, flextable, and officer, this plugin suite allows you to
take a List of ggplot2 objects or flextables and instantly export them as
hundreds of individual high-res files, or compile them directly into
professional, multi-page Word documents, PDFs, or PowerPoint presentations.
4 rk.flextable 0.0.3 RKWard plugin that provides a graphical interface for
the powerful 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.
5 rk.googlesheets4 0.0.2 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.
6 rk.network.graphs 0.0.1 brings powerful network analysis and
visualization to the RKWard GUI. Built on top of the robust igraph,
IRanges, and rgexf packages, this plugin suite bridges the gap between
qualitative coding software (like QualCoder), raw adjacency matrices, and
professional network visualization tools (like Gephi).
7 rk.forcats 0.1.8 An RKWard plugin package for factor manipulation using
the 'forcats' library.
8 rk.dates 0.0.3 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.
9 rk.rmd 0.0.1 rk.rmd brings a visual, intuitive boilerplate generator for
R Markdown directly to the RKWard GUI. Stop struggling with complex YAML
syntax, LaTeX preamble configurations, or trying to remember how to
properly link authors to multiple institutions in APA format.
10 rk.ctables 0.0.2 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
11 rk.codebook 0.0.2 rk.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.
12 rk.class.lists 0.0.2 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 elements).
13 rk.bayesian 0.0.2 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.
14 rk.correspondence 0.0.1 rk.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.
15 rk.text.mining 0.0.1 rk.text.mining brings a complete, user-friendly
text mining pipeline to the RKWard GUI. Powered by the industry-standard tm
(Text Mining) and SnowballC packages, this plugin suite allows researchers
to import text documents, clean corpora, extract term frequencies, and
discover word associations without writing a single line of complex R code
16 rk.map.globalities 0.0.3 Is a specialized spatial data downloader for
RKWard. While its sibling plugin (rk.map.localities) focuses on
high-resolution municipalities, this plugin focuses on the Big Picture:
Continents, Subregions, and the World.
17 rk.cartographr 0.1.2 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.
18 rk.aiken.v 0.02.9 An RKWard plugin to calculate Aiken's coefficients for
content validity (V) and homogeneity (H).
19 rk.names.labels 0.0.5 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.
20 rk.stringr 0.1.1 An RKWard plugin for string manipulation using the
'stringr' library.
21 rk.dplyr 0.1.4 An RKWard plugin for data table combination and
manipulation using the 'dplyr' library.
22 rk.janitor 0.0.2 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.
23 rk.lubridate 0.0.5 This package provides a suite of RKWard plugins that
create a graphical user interface for the lubridate R package. It
simplifies working with dates and times by providing tools for parsing,
formatting, arithmetic, and interval analysis without memorizing format
codes or function names.
24 rk.apyramid 0.1.3 Provides 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.
25 rk.gtsummary 0.1.3 An RKWard plugin to generate summary tables using the
'gtsummary' package, supporting both standard data.frames (tbl_summary) and
survey design objects (tbl_svysummary).
26 rk.map.localities 0.0.3 Is a comprehensive spatial data manager for
RKWard. While its core feature is connecting to the high-resolution GADM
database (via geodata) to download Admin Level 2 boundaries
(Municipalities, Counties), version 0.0.2 expands its capabilities to
include importing, exporting, and merging spatial objects.
27 rk.rnaturalearth 0.1.5 Is a user-friendly wrapper for the rnaturalearth,
sf, and ggspatial packages within RKWard. It allows users to generate
high-quality administrative Choropleth maps (heat maps based on regions)
without needing complex GIS knowledge or shapefile management.
28 rk.survey.wrangling 0.1.4 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.
29 rk.storytelling.data 0.3.0 Brings the principles of Cole Nussbaumer
Knaflic's *"Storytelling with Data" (SWD)* to the RKWard GUI. It provides a
specialized collection of `ggplot2` wrappers designed to reduce cognitive
load
30 rk.storytelling.survey 0.1.0 Applies the principles of Cole Nussbaumer
Knaflic's "Storytelling with Data" (SWD) to complex survey data. By
integrating the power of the survey and lemon packages, it provides a
specialized collection of RKWard plugins designed to communicate weighted
results (Means and Totals) with clarity, precision, and professional
aesthetics.
31 rk.fastdummies 0.0.1 Extends RKWard's data wrangling capabilities by
providing a graphical interface for the {fastDummies} package. It allows
users to quickly create dummy variables (one-hot encoding) from character
or factor variables. Uniquely, this plugin supports both standard
data.frame objects and complex survey designs (svydesign), ensuring that
your weighted data structure remains intact during transformation.
32 rk.data.wrangling 0.1.3 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.
33 rk.ggsurvey 0.1.9 A plugin package analyze complex survey designs with
custom plugins and the 'ggsurvey' package.
34 rk.pivot.reshape 0.01.10 An RKWard plugin to reshape data by pivoting it
longer or wider using functions from the 'tidyr' package.
35 rk.cSplit 0.01.10 An RKWard plugin to split concatenated columns into a
long or wide format using the cSplit() function from the 'splitstackshape'
package.
36 rk.mult.resp 0.0.4 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 (including survey weights) without writing code.
37 rk.svyplot 0.0.2 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.
38 rk.questionr 0.4.8 A plugin package to analyze complex survey designs
with custom plugins and the 'questionr' package.
39 rk.survey.design 0.8.2 A plugin package to create and analyze complex
survey designs using the 'survey' package.
40 rk.transpose.df 0.01.5 An RKWard plugin to transpose a data frame,
turning rows into columns and columns into rows.
41 rk.psych 0.0.1 Is a RKWard plug-in that consolidates frequentist
statistical tests, assumption checks, effect sizes, and visualizations into
single "All-in-One" dialogs.
42 rk.weibull 0.0.1 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.
43 rk.six.sigma 0.0.1 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.
44 rk.lookup 0.0.1 An RKWard plugin for looking up values using the
'lookup' package. Features a single interface for both Vector-based lookup
and Excel-style Vlookup.
45 rk.doe 0.0.1 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.
46 rk.lavaan 0.0.1 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.
47 rk.qcc 0.0.1 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.
48 rk.survival 0.0.1 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.
49 rk.tidyr 0.0.3 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.
50 rk.gsub.sub 0.0.7 RKWard GUI for sub() and gsub() to find and replace
patterns in character vectors.All of which can be installed through:

```
local({
  # 1. List of packages
  pkgs <- c(
    "rk.aiken.v", "rk.apyramid", "rk.bayesian", "rk.cartographr",
"rk.class.lists",
    "rk.codebook", "rk.cSplit", "rk.ctables", "rk.data.wrangling",
"rk.dates",
    "rk.doe", "rk.dplyr", "rk.flextable", "rk.forcats", "rk.ggsurvey",
    "rk.googlesheets4", "rk.gsub.sub", "rk.gtsummary", "rk.janitor",
"rk.lavaan",
    "rk.lookup", "rk.lubridate", "rk.mult.resp", "rk.names.labels",
"rk.pivot.reshape",
    "rk.psych", "rk.qcc", "rk.questionr", "rk.shiny.plugins",
"rk.six.sigma",
    "rk.stringr", "rk.survey.design", "rk.survey.wrangling", "rk.survival",
    "rk.svyplot", "rk.tidyr", "rk.transpose.df", "rk.weibull",
"rk.storytelling.data",
    "rk.storytelling.survey", "rk.fastdummies", "rk.ddi.import",
    "rk.rnaturalearth", "rk.map.localities", "rk.map.globalities",
    "rk.text.mining", "rk.correspondence", "rk.rmd", "rk.network.graphs",
    "rk.exporter"
  )

  # 2. Configure R tu use personal repository
  options(repos = c(
    alfcano = "https://alfcano.r-universe.dev",
    CRAN = "https://cloud.r-project.org"
  ))

  # 3. Optimized installation
  message(">>> Instalando desde alfcano.r-universe.dev...")
  install.packages(pkgs)
})
```
Regards,
Alfonso
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