605 search results for "shiny"

A Compendium of Clean Graphs in R

March 12, 2015
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A Compendium of Clean Graphs in R

Every data analyst knows that a good graph is worth a thousand words, and perhaps a hundred tables. But how should one create a good, clean graph? In R, this task is anything but

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In case you missed it: February 2015 roundup

March 11, 2015
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In case you missed them, here are some articles from February of particular interest to R users. The John M. Chambers Statistical Software Award announcement for 2015. The new R package "distcomp" allows researchers to collaborate on data spread across multiple sites. David Smith's interview with theCUBE on R, data science, and Microsoft's acquisition of Revolution Analytics. R is...

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The Unofficial ENAR 2015 Itinerary Maker

March 10, 2015
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The Unofficial ENAR 2015 Itinerary Maker

It’s almost ENAR 2015! The final program is out with all the sessions. The last conference I went to, the International Stroke Conference, had a program planner hosted by abstracts online. Although there are parts of this system I would like to change, I believe it is helpful for looking up sessions, presenters, and especially

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CRAN download statistics of any packages #rstats

March 7, 2015
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CRAN download statistics of any packages #rstats

Hadley Wickham announced at Twitter that RStudio now provides CRAN package download logs. I was wondering about the download numbers of my package and wrote some code to extract that information from the logs… The first code snippet is taken from the log website itself: Then I downloaded all files into a folder: Unzipping did

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Plotly Graphs with Domino’s New R Notebook

March 3, 2015
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Plotly Graphs with Domino’s New R Notebook

by Matt Sundquist co-founder of Plotly Domino's new R Notebook and Plotly's R API let you code, make interactive R and ggplot2 graphs, and collaborate entirely online. Here is the Notebook in action: Published R Notebook To execute this Notebook, or to build your own, head to Domino's Plotly Project. The GIF below shows how to get started: choose...

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scheduleR receives big update

March 2, 2015
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scheduleR receives big update

For the newcomers; scheduleR is a framework to deploy/schedule R tasks, reports and Shiny apps. The tool has an integrated logging and notification system to ease the maintenance of scheduled R related jobs. After a lot of refactoring the tasks have been separated into tasks (e.g. ETL scripts) and reports (rmarkdown). The back-end that handles the execution of R...

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Electric Power System simulations using R

March 2, 2015
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Electric Power System simulations using R

This is a guest post by Ben Ubah. The field of electric power systems engineering relies heavily on computer simulations for analysis because of its nature. These computer simulations aid the planning, operation and management of the system. Computer simulations have been implemented using several scientific computing tools. However, I have not yet seen any implementations using R. This inspired my...

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R Markdown Tutorial by RStudio and DataCamp

March 1, 2015
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R Markdown Tutorial by RStudio and DataCamp

In collaboration with Garrett Grolemund, RStudio’s teaching specialist, DataCamp has developed a new interactive course to facilitate reproducible reporting of your R analyses. R Markdown enables you to generate reports straight from your R code, documenting your works as an HTML, pdf or Microsoft document. This course is part of DataCamp’s R training path, but can The post

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Playing around with #rstats twitter data

Playing around with #rstats twitter data

As a bit of weekend fun, I decided to briefly look into the #rstats twitter data that Stephen Turner collected and made available (thanks!). Essentially, this data set contains some basic information about over 100,000 tweets that contain the hashtag… Continue reading →

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Collaborative Computing with distcomp

February 26, 2015
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Collaborative Computing with distcomp

by Joseph Rickert Distcomp, a new R package available on GitHub from a group of Stanford researchers has the potential to significantly advance the practice of collaborative computing with large data sets distributed over separate sites that may be unwilling to explicitly share data. The fundamental idea is to be able to rapidly set up a web service based...

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