Chris Parmer

Chris Parmer

7 packages on CRAN

1 packages on GitHub

dash

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A framework for building analytical web applications, 'dash' offers a pleasant and productive development experience. No JavaScript required.

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'Dash' ships with supercharged components for interactive user interfaces. A core set of components, written and maintained by the 'Dash' team, is available in the 'dashCoreComponents' package. The source for this package is on GitHub: plotly/dash-core-components.

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'Dash' is a web application framework that provides pure Python and R abstraction around HTML, CSS, and JavaScript. Instead of writing HTML or using an HTML templating engine, you compose your layout using R functions within the 'dashHtmlComponents' package. The source for this package is on GitHub: plotly/dash-html-components.

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Pivot tables are useful for interactive presentation of summary statistics computed for data contained in another table. The 'dashPivottable' package wraps 'react-pivottable', making it easy to add drag-and-drop tables into your Dash for R applications.

dashTable

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An interactive table component designed for editing and exploring large datasets, 'dashDataTable' is rendered with standard, semantic HTML <table/> markup, which makes it accessible, responsive, and easy to style. This component was written from scratch in 'React.js' specifically for the 'dash' community. Its API was designed to be ergonomic and its behaviour is completely customizable through its properties.

dashR

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An interface to the Dash ecosystem for authoring reactive web applications.

iheatmapr

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Make complex, interactive heatmaps. 'iheatmapr' includes a modular system for iteratively building up complex heatmaps, as well as the iheatmap() function for making relatively standard heatmaps.

plotly

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Create interactive web graphics from 'ggplot2' graphs and/or a custom interface to the (MIT-licensed) JavaScript library 'plotly.js' inspired by the grammar of graphics.