A few plug-ins that could be of some use

[DES Alfonso Cano Robles]

Hi, here are some plug-ins I think could be useful:

A simple RKWard plugin to transpose a data frame, converting rows to
columns and columns to rows.
https://github.com/AlfCano/rk.transpose.df

An RKWard plugin to split concatenated columns into a long or wide format
using the cSplit() function from the splitstackshape package.
https://github.com/AlfCano/rk.cSplit

An RKWard plugin package to easily reshape data frames by pivoting them
from wide to long (pivot_longer) or long to wide (pivot_wider), powered by
the tidyr package.
https://github.com/AlfCano/rk.pivot.reshape

rk.shiny.plugins
1. rpivotTable
Description: Creates a powerful and interactive drag-and-drop pivot table,
similar to those found in spreadsheet software. Ideal for quick data
exploration and summarization.
Depends on: rpivotTable R package.
Features: Includes an option to save the generated pivot table widget to an
object in the R environment.
2. ggplot GUI
Description: Launches the ggplot_shiny() interactive interface from the
ggplotgui package. This provides a "point-and-click" graphical user
interface for building complex ggplot2 graphics.
Depends on: ggplotgui R package.
3. ggquickeda
Description: Launches the run_ggquickeda() interactive interface from the
ggquickeda package. This provides a comprehensive Shiny gadget for
exploratory data analysis.
Depends on: ggquickeda R package.
https://github.com/AlfCano/rk.shiny.plugins

An RKWard plugin to calculate Aiken's V coefficient and its score
confidence intervals for assessing content validity. Features detailed
tabular output and a ggplot2 bar chart with error bars and a live preview.
https://github.com/AlfCano/rk.aiken_v

For the last one... 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.
https://github.com/AlfCano/rk.survey.design

This one is a bit problematic... still haven't found a way
to correctly clean the variables names contained inside
the variables data.frame of the survey object svydesign. I hope to
complement with a couple of plugins to svymean, svytotal and svyby at least.

Regards
Alfonso
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