1400 search results for "rstudio"

A first look at Spark

January 22, 2015
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A first look at Spark

by Joseph Rickert Apache Spark, the open-source, cluster computing framework originally developed in the AMPLab at UC Berkeley and now championed by Databricks is rapidly moving from the bleeding edge of data science to the mainstream. Interest in Spark, demand for training and overall hype is on a trajectory to match the frenzy surrounding Hadoop in recent years. Next...

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Data Wrangling Webinar and IFAR Chapter Update

January 22, 2015
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Data Wrangling Webinar and IFAR Chapter Update

A week or so ago I participated in the “Data Wrangling” webinar provided by RStudio.  I found Garret Gromelund’s descriptions of the functions in tidyr and dplyr to be fantastic.  A recording of the webinar is available here on the RStudio … Continue reading →

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Practical introduction to Shiny – workshop write-up

January 21, 2015
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Practical introduction to Shiny – workshop write-up

I recently delivered a workshop on a practical introduction to shiny, an R package that enables development, testing and deployment of interactive web applications. Delivered at the University of Sydney’s Institute for Transport and Logistics Studies (ITLS), it was designed for people who are a) fairly new to R (which can seem intimidating) and b) completely new to shiny. This article provides resources for...

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Building a choropleth map of Italy using mapIT

January 19, 2015
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Building a choropleth map of Italy using mapIT

In the R environment, different packages to draw maps a

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R in Business Intelligence

January 18, 2015
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Business Intelligence (BI) can be simply described as extracting useful informations from the data. This is quite a broad process as the source data structure (and quality) can vary, as well the useful information structure can vary. More technically process of such transformation can be described as ETL (extract, transform, load), plus presentation of the useful information. The...

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Running UBSAN tests via clang with Rocker

January 18, 2015
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Every now and then we get reports from CRAN about our packages failing a test there. A challenging one concerns UBSAN, or Undefined Behaviour Sanitizer. For background on UBSAN, see this RedHat blog post for gcc and this one from LLVM about clang. I had written briefly about this before in a blog post introducing the...

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shinyEvents: build shiny apps with event handlers

January 15, 2015
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shinyEvents: build shiny apps with event handlers

RStudio's shiny is a great framework to generate web applications with R. In a classical shiny app, interactivity is not generated via event handlers but by reactive programming. For details, see the shiny documentation and tutorials under http://shiny.rstudio.com/. While shiny's reactive programming model is great for smaller apps, I personally found it less useful for bigger applications that create...

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Debugging with restore points instead of break points

January 14, 2015
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Debugging with restore points instead of break points

break points and restore points The standard method to debug an R function is to set break points via the browser function. When during execution of the function, browser() is called, the R console immediately changes into an interactive debugging mode that allows to step through the code and enter any R expressions. Thanks to RStudio's visual debugging support, this...

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Interactive R Notebooks on powerful cloud hardware

January 13, 2015
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Interactive R Notebooks on powerful cloud hardware

by Nick Elprin Co-Founder Domino Data Lab "R Notebooks" use the IPython Notebook UI to run R (rather than Python) in notebook cells, giving you an interactive R environment hosted on scalable servers, accessible through a web browser. This post describes how and why we built our "R Notebooks" feature. Our product, Domino, is a platform that facilitates the...

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Creating WEB APPS WITH SHINY – REACTIVE GRAPH OF AVERAGE US HOUSEHOLD INCOME BY RACE

January 13, 2015
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Creating WEB APPS WITH SHINY – REACTIVE GRAPH OF AVERAGE US HOUSEHOLD INCOME BY RACE

I finally finished my first Shiny application! You can click this link to check it out. Below is a screenshot of what it looks like. I got all the data from the United States Census Bureau website. What the app does is provide a comparison of average income by race for...

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