Mixed Treatment Comparison is a methodology to compare directly and/or indirectly health strategies (drugs, treatments, devices). This package provides an Rcmdr plugin to perform Mixed Treatment Comparison for binary outcome using BUGS code from Bristol University (Lu and Ades).

An R Commander plug-in for the survival package, with dialogs for Cox models, parametric survival regression models, estimation of survival curves, and testing for differences in survival curves, along with data-management facilities and a variety of tests, diagnostics and graphs.

Extends R Commander with a unified menu of new and pre-existing statistical functions related to public management and policy analysis statistics. Functions and menus have been renamed according to the usage in PMGT 630 in the Master of Public Administration program at Brigham Young University.

The R commander plug-in for robust principal component analysis. The Graphical User Interface for Principal Component Analysis (PCA) with Hubert Algorithm method.

R Commander plugin for teaching statistical methods. It adds a new menu for making easier the teaching of the main concepts about the main statistical methods.

This package provides a GUI front-end for ggplot2 supports Kaplan-Meier plot, histogram, Q-Q plot, box plot, errorbar plot, scatter plot, line chart, pie chart, bar chart, contour plot, and distribution plot.

Rcmdr Plugin for the FactoMineR package.

This package provides a Rcmdr "plug-in" for the EcoVirtual package, designed primarily for teaching ecological models using simulations.

An R Commander plug-in for the WorldFlora package. It was mainly developed to show work flows and scripts for first-time users.

We provide an Rcmdr plug-in based on the depthTools package, which implements different robust statistical tools for the description and analysis of gene expression data based on the Modified Band Depth, namely, the scale curves for visualizing the dispersion of one or various groups of samples (e.g. types of tumors), a rank test to decide whether two groups of samples come from a single distribution and two methods of supervised classification techniques, the DS and TAD methods.

This package provides a plug-in for R Commander ('Rcmdr'). The package is a Graphical User Interface (GUI) in which several biclustering methods can be executed, followed by diagnostics and plots of the results. Further, the GUI also has the possibility to connect the methods to more general diagnostic packages for biclustering. Biclustering methods from biclust', fabia', s4vd', iBBiG', isa2', BiBitR', rqubic and BicARE are implemented. Additionally, superbiclust and BcDiag are also implemented to be able to further investigate results. The GUI also provides a couple of extra utilities to export, save, search through and plot the results. RcmdrPlugin.BiclustGUI also provides a very specific framework for biclustering in which new methods, diagnostics and plots can be added. Scripts were prepared so that R-package developers can freely design their own dialogs in the GUI which can then be added by the maintainer of RcmdrPlugin.BiclustGUI'. These scripts do not required any knowledge of tcltk and Rcmdr and are easy to fill in. (Note: rqubic currently requires manual installation through BiocManager::install('rqubic').).

This package provides an Rcmdr "plug-in" based on the TeachingDemos package, and is primarily for illustrative purposes.