neuhausi / canvasXpress
CanvasXpress: A JavaScript Library for Data Analytics with Full Audit Trail Capabilities.
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Repository Overview (README excerpt)
Crawler view--- title: "CanvasXpress R Library" output: html_document: self_contained: yes --- ***canvasXpress*** was developed as the core visualization component for bioinformatics and systems biology analysis. It supports a large number of visualizations to display scientific and non-scientific data. ***canvasXpress*** also includes a simple and unobtrusive user interface to explore complex data sets, a sophisticated and unique mechanism to keep track of all user customization for Reproducible Research purposes, as well as an 'out of the box' broadcasting capability to synchronize selected data points in all ***canvasXpress*** plots in a page. Data can be easily sorted, grouped, transposed, transformed or clustered dynamically. The fully customizable mouse events as well as the zooming, panning and drag-and-drop capabilities are features that make this library unique in its class. ***canvasXpress*** can be now simply used within R at the console to generate conventional plots, in R-Studio or seamlessly embedded in Shiny web applications. Full-fledged examples of the ***canvasXpress*** library including the mouse events, zooming, and broadcasting capabilities are included in this package in several examples that can be accessed using the cxShinyExample function. This ***canvasXpress*** R library was created with the htmlwidgets package. Installation canvasXpress is available for installation from CRAN or you can install the latest version of ***canvasXpress*** from GitHub as follows: Examples These are included to get you started on basic charting - there are many more examples (including complex and compound visualizations) with R code available in the Examples section of the main website at https://www.canvasxpress.org Scatter 3D Plot Scatter 2D Matrix Plot Boxplot Heatmap (Multi-dimensional) Four way Venn Diagram More Examples and Resources In addition to the built-in package documentation there are vignettes with more information on getting started and additional examples: For the use of canvasXpress plots in shiny there are interactive examples available through the package function *cxShinyExample* There is also a wealth of additional information including full API documentation and extensive R and JavaScript examples at https://www.canvasxpress.org.