Shiny-based interactive gadgets of radial visualization methods and extensions thereof.

A platform-independent browser-based interface for business
    analytics in R, based on the shiny package. The application combines the
    functionality of 'radiant.data', 'radiant.design', 'radiant.basics',
    'radiant.model', and 'radiant.multivariate'.

The Radiant Basics menu includes interfaces for probability 
    calculation, central limit theorem simulation, comparing means and proportions, 
    goodness-of-fit testing, cross-tabs, and correlation. The application extends 
    the functionality in 'radiant.data'.

The Radiant Data menu includes interfaces for loading, saving,
    viewing, visualizing, summarizing, transforming, and combining data. It also
    contains functionality to generate reproducible reports of the analyses
    conducted in the application.

The Radiant Design menu includes interfaces for design of
    experiments, sampling, and sample size calculation. The application extends
    the functionality in 'radiant.data'.

The Radiant Model menu includes interfaces for linear and logistic
    regression, naive Bayes, neural networks, classification and regression trees,
    model evaluation, collaborative filtering, decision analysis, and simulation.
    The application extends the functionality in 'radiant.data'.

The Radiant Multivariate menu includes interfaces for perceptual
    mapping, factor analysis, cluster analysis, and conjoint analysis. The
    application extends the functionality in 'radiant.data'.

A
        collection of programs for 
        plotting SKEW-T,log p diagrams and wind profiles for data
        collected by radiosondes (the typical weather balloon-borne
        instrument). The format of this plot with companion lines to
	assess atmospheric stability are both standard  in meteorology
	and difficult to create from basic graphics functions. Hence
	this package. One novel feature is being able add several
	profiles to the same plot for comparison. 
	Use "help(ExampleSonde)" for an explanation of the variables
	needed and how they should be named in a data frame. See
	<https://github.com/dnychka/Radiosonde> for the package home page.