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Radiant is an open-source platform-independent browser-based interface for business analytics in R. The application is based on the Shiny package and can be run locally or on a server. Radiant was developed by Vincent Nijs. Please use the issue tracker on GitHub to suggest enhancements or report problems: -rstats/radiant/issues. For other questions and comments please use email@example.com.
Optional: You can also create a launcher on your Desktop to start Radiant by typing radiant::launcher() in the R(studio) console and pressing return. A file called radiant.bat (windows) or radiant.command (mac) will be created that you can double-click to start Radiant in your default browser. The launcher command will also create a file called update_radiant.bat (windows) or update_radiant.command (mac) that you can double-click to update Radiant to the latest release.
To save your analyses save the state of the app to a file by clicking on the icon in the navbar and then on Save state (see also the Data > Manage tab). You can open this state-file at a later time or on another computer to continue where you left off. You can also share the file with others that may want to replicate your analyses. As an example, load the state-file radiant-state.rda through the Data > Manage tab. Go to Data > View and Data > Visualize to see some of the settings. There is also a report in R > Report that was created using the Radiant interface. The html file radiant-state.html contains the output.
Technical note: Loading state works as follows in Radiant: When an input is initialized in a Shiny app you set a default value in the call to, for example, numericInput. In Radiant, when a state-file has been loaded and an input is initialized it looks to see if there is a value for an input of that name in a list called r_state. If there is, this value is used. The r_state list is created when saving state using reactiveValuesToList(input). An example of a call to numericInput is given below where the state_init function from radiant.R is used to check if a value from r_state can be used.
The source code is available on GitHub at -rstats. radiant.data, offers data loading, saving, viewing, visualizing, combining, and transforming tools. radiant.design builds on radiant.data and adds tools for experimental design, sampling, and sample size calculation. radiant.basics covers the basics of statistical analysis (e.g., comparing means and proportions, cross-tabs, correlation, etc.) and includes a probability calculator. radiant.model covers model estimation (e.g., logistic regression and neural networks), model evaluation (e.g., gains chart, profit curve, confusion matrix, etc.), and decision tools (e.g., decision analysis and simulation). Finally, radiant.multivariate includes tools to generate brand maps and conduct cluster, factor, and conjoint analysis.
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The RPA is an international trade association comprised of individuals and companies dedicated to increasing the use of radiant heating and cooling technologies through education and the development of codes and standards language reflecting best practices. 59ce067264