Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

Found 69 packages in 0.02 seconds

trelloR — by Jakub Chromec, 3 years ago

Access the Trello API

An R client for the Trello API. Supports free-tier features such as access to private boards, creating and updating cards and other resources, and downloading data in a structured way.

SplitSoftening — by Jakub Dvorak, 2 years ago

Softening Splits in Decision Trees

Allows to produce and use classification trees with soft (probability) splits, as described in: Dvořák, J. (2019), .

shiny.fluent — by Jakub Sobolewski, a month ago

Microsoft Fluent UI for Shiny Apps

A rich set of UI components for building Shiny applications, including inputs, containers, overlays, menus, and various utilities. All components from Fluent UI (the underlying JavaScript library) are available and have usage examples in R.

rhino — by Jakub Nowicki, 4 months ago

A Framework for Enterprise Shiny Applications

A framework that supports creating and extending enterprise Shiny applications using best practices.

shiny.blueprint — by Jakub Sobolewski, 2 years ago

Palantir's 'Blueprint' for 'Shiny' Apps

Easily use 'Blueprint', the popular 'React' library from Palantir, in your 'Shiny' app. 'Blueprint' provides a rich set of UI components for creating visually appealing applications and is optimized for building complex, data-dense web interfaces. This package provides most components from the underlying library, as well as special wrappers for some components to make it easy to use them in 'R' without writing 'JavaScript' code.

fixtuRes — by Jakub Nowicki, 5 years ago

Mock Data Generator

Generate mock data in R using YAML configuration.

r6methods — by Jakub Sobolewski, 6 years ago

Make Methods for R6 Classes

Generate boilerplate code for R6 classes. Given R6 class create getters and/or setters for selected class fields or use RStudio addins to insert methods straight into class definition.

muttest — by Jakub Sobolewski, 2 months ago

Mutation Testing

Measure quality of your tests. 'muttest' introduces small changes (mutations) to your code and runs your tests to check if they catch the changes. If they do, your tests are good. If not, your assertions are not specific enough. 'muttest' gives you percent score of how often your tests catch the changes.

semantic.assets — by Jakub Nowicki, 3 years ago

Assets for 'shiny.semantic'

Style sheets and JavaScript assets for 'shiny.semantic' package.

fscaret — by Jakub Szlek, 8 years ago

Automated Feature Selection from 'caret'

Automated feature selection using variety of models provided by 'caret' package. This work was funded by Poland-Singapore bilateral cooperation project no 2/3/POL-SIN/2012.