As written by my colleague Nicola in the post of day 1,
The morning opened with someone who I was too bleary eyed to work out who it was. Possibly the dean of the University of Aalborg. Anyway, he said that this is the largest ever useR conference, and the first ever in a Nordic country. Take that, Norway! Also, considering that there are now quite a
There are some tools that I use regularly, and I would like my research students and post-docs to learn them too. Here are some great online tutorials that might help. ggplot tutorial from Winston Chang Writing an R package from Karl Broman Rmarkdown from RStudio Shiny from RStudio git/github guide from Karl Broman minimal make tutorial from Karl
(This article was first published on Plotly Blog, and kindly contributed to R-bloggers) We just published a new Survival Analysis tutorial. You can find code, an explanation of methods, and six interactive ggplot2 and Python graphs here. How We Built It Survival analysis is a set of statistical methods for analyzing events over time: time to death in biological...
We’re pleased to announce d3heatmap, our new package for generating interactive heat maps using d3.js and htmlwidgets. Tal Galili, author of dendextend, collaborated with us on this package. d3heatmap is designed to have a familiar feature set and API for anyone who has used heatmap or heatmap.2 to create static heatmaps. You can specify dendrogram, clustering, and scaling options
Contents Slidify 1. Install and Initialize 2. Author and Edit 2.1 Add slide content 2.1 Change the look and feel 2.1 Collection of links 3. Generate and Publish 4. Summary Slidify As a...
dimple is a simple-to-use charting API powered by D3.js. Making use of the nice htmlwidgets package it only took a minimum amount of coding to make the dimple library available from R. You can find the dimple R package at github.com/Bart6114/dimple a...
Has the time come for Jupyter/IPython notebooks in R? This format, mixing code chunks, output, and markdown all in the same interface, is already wildly popular among Python users. Here's how to get a quick start using interactive, collaborative notebooks in Jupyter, with the help of SageMathCloud.