Just an updated list of plugins

[DES Alfonso Cano Robles]

Hi,
Just to share an updated list of plug-ins.

n Name Version Description
1 rk.aiken.v 0.02.9
An RKWard plugin to calculate Aiken's coefficients for content validity (V)
and homogeneity (H).
2 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.
3 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.
4 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.
5 rk.case.if 0.0.1
It 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 0.0.2
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).
7 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.
8 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.
9 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.
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.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.
12 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.
13 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.
14 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.
15 rk.dplyr 0.1.4
An RKWard plugin for data table combination and manipulation using the
'dplyr' library.
16 rk.effect.sizes 0.0.1
rk.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.
17 rk.exporter 0.0.4
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.
18 rk.fastdummies 0.0.3
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.
19 rk.flextable 0.0.4
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.
20 rk.forcats 0.1.8
An RKWard plugin package for factor manipulation using the 'forcats'
library.
21 rk.gganimate 0.0.6
rk.gganimate is an advanced RKWard GUI plugin suite that brings the power
of gganimate, ggplot2, and srvyr into a point-and-click interface. Designed
for data storytelling, it allows researchers to easily aggregate complex
survey data (or standard data frames) and render stunning,
publication-ready animated GIFs—including Gapminder-style bubble charts,
dynamic line charts, and viral Bar Chart Races.
22 rk.ggsurvey 0.1.11
A plugin package analyze complex survey designs with custom plugins and the
'ggsurvey' package.
23 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.
24 rk.grateful 0.0.2
rk.grateful is an RKWard GUI plugin designed to facilitate the citation of
R packages used in your project. A must-have for researchers and data
scientists promoting reproducible science!
25 rk.gsub.sub 0.0.7
RKWard GUI for sub() and gsub() to find and replace patterns in character
vectors.
26 rk.gtsummary 0.1.4
An RKWard plugin to generate summary tables using the 'gtsummary' package,
supporting both standard data.frames (tbl_summary) and survey design
objects (tbl_svysummary).
27 rk.interactive.bi 0.0.1
rk.interactive.bi provides a seamless, point-and-click graphical interface
inside RKWard to create interactive, cross-filtered dashboards without
needing a Shiny server. Acting as a unified GUI wrapper for powerful
web-rendering R packages like crosstalk, plotly, DT, kpiwidget, and bslib,
this plugin allows users to build modular visual analytics and export them
as standalone HTML files.
28 rk.ipumsr 0.0.1
rk.ipumsr provides a seamless, point-and-click graphical interface inside
RKWard to automatically fetch, pool, and label survey data from the IPUMS
Current Population Survey (CPS) using the official ipumsr API. It
eliminates the need to manually navigate the IPUMS website, download .dat
files, or write complex extraction code.
29 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.
30 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.
31 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.
32 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.
33 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.
34 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.
35 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.
36 rk.names.labels 0.0.6
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.
37 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).
38 rk.pivot.reshape 0.01.10
An RKWard plugin to reshape data by pivoting it longer or wider using
functions from the 'tidyr' package.
39 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.
40 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.
41 rk.questionr 0.4.8
A plugin package to analyze complex survey designs with custom plugins and
the 'questionr' package.
42 rk.rmd 0.0.2
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.
43 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.
44 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
45 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.
46 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
47 rk.storytelling.survey 0.1.1
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.
48 rk.stringr 0.1.1
An RKWard plugin for string manipulation using the 'stringr' library.
49 rk.survey.design 0.8.2
A plugin package to create and analyze complex survey designs using the
'survey' package.
50 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.
51 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.
52 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.
53 rk.text.mining 0.0.3
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
54 rk.tidycensus 0.0.2
rk.tidycensus provides a seamless, point-and-click graphical interface
inside RKWard to download microdata, socio-economic indicators, and spatial
geometries from the US Census Bureau. Acting as a GUI wrapper for the
powerful tidycensus R package by Kyle Walker, this plugin allows users to
fetch, clean, and map census data without writing a single line of code.
55 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.
56 rk.transpose.df 0.01.5
An RKWard plugin to transpose a data frame, turning rows into columns and
columns into rows.
57 rk.weibull 0.0.2
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.
58 rk.word.cloud 0.0.1
rk.word.cloud provides a seamless, point-and-click graphical interface
inside RKWard to create visually stunning word clouds from text mining
data. Acting as a unified GUI wrapper for the ggwordcloud, tm, and ggplot2
packages, this plugin allows users to effortlessly turn a raw text Corpus
into a publication-ready graphic without writing any R code.


These are available on r-universe (
https://github.com/AlfCano/alfcano.r-universe.dev and
https://alfcano.r-universe.dev/builds) through this command:

```
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", "rk.tidycensus", "rk.effect.sizes", "rk.interactive.bi",
    "rk.word.cloud", "rk.ipumsr", "rk.gganimate", "rk.case.if",
"rk.grateful"
  )

  # 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)
})
```

If you only want to install specific plugins, add the repository to your
options and install as usual:

```
# Enable the universe
options(repos = c(
  alfcano = "https://alfcano.r-universe.dev",
  CRAN = "https://cloud.r-project.org"
))

# Install specific packages
install.packages("rk.janitor")
install.packages("rk.rnaturalearth")
```

Or individual packages:

```
# Install 'rk.exporter' in R:
install.packages('rk.exporter', repos = c('https://alfcano.r-universe.dev',
'https://cloud.r-project.org'))
```

Regards
Alfonso
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