1866 search results for "rstudio"

Shiny Apps Gallery using Plotly in R

May 7, 2016
By
Shiny Apps Gallery using Plotly in R

Announcing the new shiny apps gallery that showcases the use of Plotly’s R API in Shiny Applications. You can visit the gallery here: https://plot.ly/r/shiny-gallery/ Apps showcase the use of a variety of plotly features including: Adding interactive plotly graphs using plotlyOutput() Embedding ggplot style visualizations using ggplotly() Accessing click, hover and zoom events using event_data()

Read more »

ShinyDevCon videos now available

May 6, 2016
By
2016-05-06 21_55_31-Clipboard

This past January, we held the first ever Shiny Developer Conference. It was a chance to gather together a group of intermediate to advanced Shiny users, and take their skills to the next level. It was an exciting event for me in particular, as I’ve been dying to share some of these intermediate and advanced

Read more »

Shiny JavaScript Tutorials

May 6, 2016
By
Shiny JavaScript Tutorials

We are happy to announce a new series of tutorials that will take your Shiny apps to the next level. In the tutorials, Herman Sontrop and Erwin Schuijtvlot of FRISS will teach you how to create custom JavaScript widgets and embed them into your Shiny apps. The JavaScript language is a powerful tool when combined

Read more »

Announcing new forecastHybrid package

Announcing new forecastHybrid package

Background and motivation In an earlier post I explored ways that might improve on standard methods for prediction intervals from univariate time series forecasting. One of the tools I used was a convenience function to combine forecasts from Rob Hyndman’s ets and auto.arima functions. David Shaub (with a small contribution from myself) has now built and published...

Read more »

R 3.3.0 now available

May 5, 2016
By
R 3.3.0 now available

R 3.3.0, a major annual update to the R Language, was released earlier this week and is now available from your local CRAN mirror for Windows, Mac (OSX 10.6 or later) and Linux systems. (Or as always, you can build it yourself from sources). This update — codenamed "Supposedly Educational" — makes a number of significant improvements to R,...

Read more »

Manipulate(d) Regression!

May 5, 2016
By
Manipulate(d) Regression!

The R package ‘manipulate’ can be used to create interactive plots in RStudio. Though not as versatile as the ‘shiny’ package, ‘manipulate’ can be used to quickly add interactive elements to standard R plots. This can prove useful for demonstrating statistical concepts, especially to a non-statistician audience. The R code at the end of this

Read more »

Need user feedback? Send it directly from R

May 5, 2016
By

via GIPHY Help Me, Help You As an R-dev, I’d like to know I’m meeting community need, as well as my own. But after an initial “aha!” moment, you don’t always know how to live up to the full potential of what you’ve started with a package. For example, RStudio collects extensive data through their products to better understand...

Read more »

R 3.3.0 is released!

May 3, 2016
By
R 3.3.0 is released!

R 3.3.0 (codename “Supposedly Educational”) was released today. You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of new features and bug fixes is provided below. Upgrading to R 3.3.0 on Windows If you are using Windows you can easily upgrade to the latest version of R using the installr package. … Continue reading...

Read more »

Using Docker as a Personal Productivity Tool – Running Command Line Apps Bundled in Docker Containers

May 3, 2016
By
Using Docker as a Personal Productivity Tool – Running Command Line Apps Bundled in Docker Containers

With its focus on enterprise use, it’s probably with good reason that the Docker folk aren’t that interested in exploring the role that Docker may have to play as a technology that supports the execution of desktop applications, or at least, applications for desktop users. (The lack of significant love for Kitematic seems to be

Read more »

R in Insurance 2016 Programme

May 3, 2016
By
R in Insurance 2016 Programme

We are delighted to announce that the programme for the 4th R in Insurance conference at Cass Business School in London, 11 July 2016, have been finalised. Register by the end of May to get the early bird booking fee.The organisers...

Read more »

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training

datasociety

http://www.eoda.de





ODSC

ODSC

CRC R books series





Six Sigma Online Training









Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)