Blog Archives

D3PartitionR 0.3.0 is available on CRAN

December 2, 2016
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D3PartitionR 0.3.0 is available on CRAN

Yesterday, the new version of D3partitionR was uploaded on CRAN, this version contains some major improvements. 1. General layout: Before this update, the height and width of the widget were somehow messy and so was the global layout. The layout is now the following: Area A: Title area (exists only if the user entered a

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Deploying R, RStudio and Shiny applications on Unbuntu Server

November 22, 2016
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Deploying R, RStudio and Shiny applications on Unbuntu Server

In this post, we are going to see how to deploy R, RStudio, and Shiny apps on a virtual server. The post won’t focus on Shiny programming aspect, neither on Unbuntu programming, however, the tutorial is self-sufficient. Only by following the different steps, you’ll get a working server and Shiny app. 1. Choosing your virtual

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An extensive tutorial of D3partitionR 0.2

November 20, 2016
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An extensive tutorial of D3partitionR 0.2

Basis and principle of D3partitionR D3partitionR is to plot sequential and hierarchical data using treemap (and circle Tree Map), sunburst and partition chart, collapsible trees (indented or not). The package only has one all-in function called D3partitionR(…) to create a partition chart. Two others functions as renderD3partitionR(…) and D3partitionROutput(…) are used to render partition charts in

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Changelog D3PartitionR V0.2

October 16, 2016
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Changelog D3PartitionR V0.2

The V0.2 of D3partitionR is now available on gitlab ! (And will soon be available on the CRAN!) Changelog: New visualisation: collapsible tree Indented collapsible tree 2. New functionalities and improvement Shiny input: The partition charts can now be used as shiny input. Several inputs options are available: the clicked node, the visible nodes, the visible

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Interfacing Shiny with Javascript -Part 1

July 26, 2016
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Interfacing Shiny with Javascript -Part 1

A user customized pop-up In this first part, we’ll create a custom pop-up generator: The user enters some text The user clicks to generate the pop-up The pop-up pops up ! Creating the files and folders As usual, you’ll need two files: ui.R and server.R. However, to generate the pop-up we’ll use a js file,

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Exploring tourism in France with interactive maps

June 28, 2016
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Exploring tourism in France with interactive maps

Since summer is coming and meaning vacations we are going to explore the tourism in France. To do so, we are going to explore the number of hotel room per deparements (a small administrative area in France) and see if somes show more tourist appeal than others. 1.The data: To do this analysis, we are gong

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WifRA: a quick walkthrough

June 26, 2016
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WifRA: a quick walkthrough

After the quick overview, here is a quick walkthrough to some categorical analysis. Open the app: Here 1. Import the data: Here are some homemade data, done with the following R code: set.seed(3467) x=1:400+rnorm(400,0,1) y1=x*2.5+40+rnorm(400,0,50) y2=x*4.5+80+rnorm(400,0,50) group=rep(c('G1','G2'),each=400) x=c(x,x) y=c(y1,y2) DF=data.frame(x=x,y=y,group=group) write.csv(DF,'DF.csv') Click on import data, select your data and set rownames to first column. You

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