1147 search results for "RStudio"

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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Join and set operations come to dplyr

January 12, 2015
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The team at RStudio have just released an update to the immensely useful dplyr package, making it even more powerful for manipulating data frame data in R. The new 0.4.0 version adds new "verbs" to the syntax for mutating joins (left join, right join, etc.), filtering joins, and set operations (intersection and union). There's also some new documentation to...

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Secure your Shiny apps (against SQL injection)

January 12, 2015
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Shiny takes inputs from UI elements and sends them to the server, where the application...

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dplyr 0.4.0

January 9, 2015
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dplyr 0.4.0

I’m very pleased to announce that dplyr 0.4.0 is now available from CRAN. Get the latest version by running: install.packages("dplyr") dplyr 0.4.0 includes over 80 minor improvements and bug fixes, which are described in detail in the release notes. Here I wanted to draw your attention to two areas that have particularly improved since dplyr

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RMySQL 0.10.0

January 9, 2015
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RMySQL 0.10.0

Jeroen Ooms and I are very pleased to announce a new version of RMySQL, the R package that allows you to talk to MySQL (and MariaDB) databases. We have taken over maintenance from Jeffrey Horner, who has done a great job of maintaining the package of the last few years, but no longer has time

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ggplot2 updates

January 9, 2015
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ggplot2 updates

ggplot2 1.0.0 As you might have noticed, ggplot2 recently turned 1.0.0. This release incorporated a handful of new features and bug fixes, but most importantly reflects that ggplot2 is now a mature plotting system and it will not change significantly in the future. This does not mean ggplot2 is dead! The ggplot2 community is rich

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Interactive visualizations with R – a minireview

January 9, 2015
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Interactive visualization allows deeper exploration of data than static plots. Javascript libraries such as d3 have made possible wonderful new ways to show data. Luckily the R community has been active in developing R interfaces to some popular javascript libraries to enable R users to create interactive visualizations without knowing any javascript. In this post I have reviewed...

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New R Package: metricsgraphics

January 8, 2015
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Mozilla released the MetricsGraphics.js library back in November of 2014 (gh repo) and was greeted with great fanfare. It’s primary focus is on crisp, clean layouts for interactive time-series data, but they have support for other chart types as well (though said support is far from comprehensive). I had been pondering building an R package

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