1855 search results for "rstudio"

R, Open Source and GSoC

October 2, 2015
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R, Open Source and GSoC

There’s a plethora of generic content regarding GSoC preparation already available on the internet.* This blog post will concentrate on specific tips which should help anyone looking to get involved with The R-Project, or any R-centric Open-Source project, begin their journey. *The post assumes basic programming knowledge (loops, functions, etc.) and familiarity with git/github.* The basics To begin with, familiarity with the...

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rleafmap: R Markdown in interactive popups

October 1, 2015
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rleafmap: R Markdown in interactive popups

This is the second « big » feature coming with branch 0.2 of rleafmap (now on CRAN!). With this new version you can write popups content in R Markdown which will be processed when you generate the map. This can be useful … Lire la suite →

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Playing with Leaflet (and Radar locations)

September 30, 2015
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Playing with Leaflet (and Radar locations)

Yesterday, my friend Fleur did show me some interesting features of the leaflet package, in R. library(leaflet) In order to illustrate, consider locations of (fixed) radars, in several European countries. To get the data, use download.file("http://carte-gps-gratuite.fr/radars/zones-de-danger-destinator.zip","radar.zip") unzip("radar.zip")   ext_radar=function(nf){ radar=read.table(file=paste("destinator/",nf,sep=""), sep = ",", header = FALSE, stringsAsFactors = FALSE) radar$type <- sapply(radar$V3, function(x) {z=as.numeric(unlist(strsplit(x, " ")])); return(z)}) radar <-...

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Rebuilding Map Example With Apply Functions

September 30, 2015
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Yesterday Hadley’s functional programming package purrr was published to CRAN. It is designed to bring convenient functional programming paradigma and add another data manipulation framework for R. “Where dplyr focusses on data frames, purrr focusses on vectors” – Hadley Wickham in a blogpost The core of the package consists of map functions, which operate similar to...

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purrr 0.1.0

September 29, 2015
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purrr 0.1.0

  Purrr is a new package that fills in the missing pieces in R’s functional programming tools: it’s designed to make your pure functions purrr. Like many of my recent packages, it works with magrittr to allow you to express complex operations bying combining simple pieces in a standard way. Install it with: install.packages("purrr") Purrr

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Call R functions from any application with the AzureML package

September 28, 2015
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Call R functions from any application with the AzureML package

If you've developed a useful function in R (say, a function to make a forecast or prediction from a statistical model), you may want to call that function from an application other than R. For example, you might want to display the forecast (calculated in R) as part of a desktop, web-based or mobile application. One solution is to...

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Shiny CRUD App

September 27, 2015
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Shiny CRUD App

In this post, we write a shiny app that lets you display and modify data that is stored in a database table. Shiny and Databases Everybody loves Shiny, and rightly so. It lets you publish reproducible research, brings R applications to non-R users, and can even serve as a general purpose GUI for R code. The post

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R – My journey so far

September 24, 2015
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R – My journey so far

The first time I heard about R, was about 4 years ago...a couple of week after I joined SAP. At that time I read in one of our internal documents that SAP HANA was going to be able to interact with the R programming Language.At first, I was totally clu...

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Adding Authentication to Shiny Open Source Edition

September 24, 2015
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Adding Authentication to Shiny Open Source Edition

Shiny Server is a great solution for BI/analytics reporting. It leverages the power of the R language to create interactive reports/dashboards. May be you have tried it but are reclutant to use it in production because it lacks any authentication on i...

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It’s not you, it’s me

September 24, 2015
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It’s not you, it’s me

Somehow when my code stops working, my first (and second, and third) reaction is to blame everything except my own code. (“It’s not me, it’s you.”) And almost always, it’s my own code that’s the problem (hence the title of this post). I spent the day trying to resolve a bug in my early-in-development R

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