1799 search results for "tutorial"

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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Introduction to Applied Econometrics with R

January 19, 2015
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Bruno Rodrigues teaches a class on applied econometrics at the University of Strasbourg, with a focus on implementing econometric concepts in the R language. Since many of the students don't have any previous programming background, he's put together a tutorial on the basics of applied econometrics with R. The first two chapters serve as a general-purpose beginners' introduction to...

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Introducing rleafmap. An R package for interactive maps with Leaflet.

January 19, 2015
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Introducing rleafmap. An R package for interactive maps with Leaflet.

Obviously, I am late… I released rleafmap about 1 year ago and I am just writing this blog post today. During this time, I presented the package to the french R-users community at the 3eme Rencontres R in Montpellier and … Lire la suite →

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Installing RStudio Server on Ubuntu Server

January 18, 2015
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This tutorial describes the different steps required to install RStudio Server on Ubuntu Server (version 14.04 LTS). It is widely inspired from the official installation instructions Installing R First, R must be installed on the server. The best way to do so is to proceed as described on this page, that is: edit the file

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Seven 3D Graphs You Can Make In Excel, Python, MATLAB, R, & LaTeX

January 15, 2015
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Seven 3D Graphs You Can Make In Excel, Python, MATLAB, R, & LaTeX

Plotly’s interactive 3D graphs let you make graphs from (click the links for tutorials): our web app, Excel, Google Docs, Python, MATLAB, and R. Click any image below to go to the full-screen interactive version. Also, news for users with on-premise needs. Plotly On-Premise can be hosted on a private server. Contact us...

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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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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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How to format your chart and axis titles in ggplot2

January 13, 2015
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How to format your chart and axis titles in ggplot2

Once you know how to create simple plots you’ll want to learn how to design more sophisticated plots. A large part of being able to design sophisticated plots is having control over the “non-data elements” of the plot, such as the plot title and axis titles.You want to be able to format those and polish The post

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Interactive visualizations with R – a minireview

January 9, 2015
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2015-01-10 00_34_37-Clipboard

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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