1862 search results for "RStudio"

Computerworld’s 10-step tutorial for creating interactive election maps with R

March 7, 2016
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Computerworld’s 10-step tutorial for creating interactive election maps with R

With the US election season in full swing, you can hardly browse a newspaper website without seeing some kind of map showing election or polling results, like this one from the New York Times. With election data (usually) accessible online, and a wealth of mapping tools available in the R language, you can fairly easily make similar maps yourself...

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ggplot2 2.1.0

March 4, 2016
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ggplot2 2.1.0

I’m very pleased to announce the release of ggplot2 2.1.0, scales 0.4.0, and gtable 0.2.0. These are set of relatively minor updates that fix a whole bunch of little problems that crept in during the last big update. The most important changes are described below. When mapping an aesthetic to a constant the default guide

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Dynamic Predictions using Joint Models

March 4, 2016
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Dynamic Predictions using Joint Models

What are Dynamic PredictionsIn this post we will explain the concept of dynamic predictions and illustrate how these can be computed using the framework of joint models for longitudinal and survival data, and the R package JMbayes. The type of dynamic ...

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Where People Live

March 3, 2016
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Where People Live

There was an interesting map on reddit this morning, with a visualisation of latitude and longituge of where people live, on Earth. So I tried to reproduce it. To compute the density, I used a kernel based approch > library(maps) > data("world.cities") > X=world.cities > liss=function(x,h){ + w=dnorm(x-X,0,h) + sum(X*w) + } > vx=seq(-80,80) > vy=Vectorize(function(x) liss(x,1))(vx) > vy=vy/max(vy)...

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Declutter a shiny report’s code v2.0

March 3, 2016
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I wrote a year ago on a way to declutter shiny report code which involved putting objects into a sourced file, however, at that point in time the solution was a bit brittle and clunky. Now there’s a better way to develop shiny applications – shiny modules. In October, RStudio introduced the concept of modules The post

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Learn R from the Ground Up

March 1, 2016
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Learn R from the Ground Up

R is an open source programming language which is made from the dialect of S. R programming is very power when dealing with Data Manipulation and Statistical Modelling. R is widely used by data scientist and can solve complex problems containing datasets with statistical computing. R has thousands of packages which shows how powerful R History + Installation

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Analysing the movements of a cat

March 1, 2016
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Analysing the movements of a cat

by Verena Haunschmid Since I have a cat tracker, I wanted to do some analysis of the behavior of my cats. I have shown how to do some of these things here. Data Collection The data was collected using the Tractive GPS Pet Tracker over a period of about one year from January 2014 to November 2014 (with breaks)....

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A Gadget for tidyr

March 1, 2016
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A Gadget for tidyr

By Aimee Gott About a month ago I wrote a review of the Shiny Developer Conference and I mentioned Shiny Gadgets, my new favourite thing in R. Over the last month I have played about with them and finally got … Continue reading →

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Introducing pdftools – A fast and portable PDF extractor

March 1, 2016
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Scientific articles are typically locked away in PDF format, a format designed primarily for printing but not so great for searching or indexing. The new pdftools package allows for extracting text and metadata from pdf files in R. From the extracted plain-text one could find articles discussing a particular drug or species name, without having to rely on...

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Network Visualization with Plotly and Shiny

February 28, 2016
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Network Visualization with Plotly and Shiny

In addition to their more common uses, networks  can be used as powerful multivariate data visualizations and exploration tools. Networks not only provide mathematical representations of data but are also one of the few data visualization methods capable of easily displaying multivariate variable relationships. The process of network mapping involves using the network manifold to display a

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