601 search results for "Shiny"

RStudio releases Shiny

November 12, 2012
By

RStudio has released a new package for R. Shiny allows R developers to build simple interactive Web-based interfaces for R scripts, using only R code (no JavaScript development required!). You can see some examples of Shiny in action in this blog post, and there are more details about Shiny's capabilities in this tutorial. Shiny was first announced to beta...

Read more »

Unbelievable and Amazing R Shiny–Web Parameter Test in 1.5 Hours

November 9, 2012
By
Unbelievable and Amazing R Shiny–Web Parameter Test in 1.5 Hours

Life keeps getting better and better.  Yesterday, I discovered the absolutely unbelievable and amazing work RStudio has done with Shiny employing one of my favorite R packages websockets.  As proof of the ease and quality, within a couple of ...

Read more »

Introducing Shiny: Easy web applications in R

November 8, 2012
By
Introducing Shiny: Easy web applications in R

Say hello to Shiny, a new R package that we’re releasing for public beta testing today. Shiny makes it super simple for R users to turn analyses into interactive web applications that anyone can use. These applications let you specify input parameters using friendly controls like sliders, drop-downs, and text fields; and they can easily

Read more »

R, Julia and the shiny new thing

April 12, 2012
By
R, Julia and the shiny new thing

My head exploded a while ago. Perhaps not my head but my brain was all mushy after working every day of March and first week of April; an explanation—as good as any—for the post hiatus. Back to the post title. … Continue reading →

Read more »

R vs Python: Survival Analysis with Plotly

June 24, 2015
By
R vs Python: Survival Analysis with Plotly

(This article was first published on Plotly Blog, and kindly contributed to R-bloggers) We just published a new Survival Analysis tutorial. You can find code, an explanation of methods, and six interactive ggplot2 and Python graphs here. How We Built It Survival analysis is a set of statistical methods for analyzing events over time: time to death in biological...

Read more »

Leaflet: Interactive web maps with R

June 24, 2015
By
Leaflet: Interactive web maps with R

We are excited to announce that a new package leaflet has been released on CRAN. The R package leaflet is an interface to the JavaScript library Leaflet to create interactive web maps. It was developed on top of the htmlwidgets framework, which means the maps can be rendered in R Markdown (v2) documents, Shiny apps, and RStudio IDE

Read more »

DT: An R interface to the DataTables library

June 24, 2015
By
DT: An R interface to the DataTables library

We are happy to announce a new package DT is available on CRAN now. DT is an interface to the JavaScript library DataTables based on the htmlwidgets framework, to present rectangular R data objects (such as data frames and matrices) as HTML tables. You can filter, search, and sort the data in the table. See http://rstudio.github.io/DT/ for the full

Read more »

d3heatmap: Interactive heat maps

June 24, 2015
By
d3heatmap: Interactive heat maps

We’re pleased to announce d3heatmap, our new package for generating interactive heat maps using d3.js and htmlwidgets. Tal Galili, author of dendextend, collaborated with us on this package. d3heatmap is designed to have a familiar feature set and API for anyone who has used heatmap or heatmap.2 to create static heatmaps. You can specify dendrogram, clustering, and scaling options

Read more »

dimple charts for R

June 20, 2015
By
dimple charts for R

dimple is a simple-to-use charting API powered by D3.js. Making use of the nice htmlwidgets package it only took a minimum amount of coding to make the dimple library available from R. You can find the dimple R package at github.com/Bart6114/dimple a...

Read more »

Interactive R Notebooks with Jupyter and SageMathCloud

June 20, 2015
By
Interactive R Notebooks with Jupyter and SageMathCloud

Has the time come for Jupyter/IPython notebooks in R? This format, mixing code chunks, output, and markdown all in the same interface, is already wildly popular among Python users. Here's how to get a quick start using interactive, collaborative notebooks in Jupyter, with the help of SageMathCloud.

Read more »