Last week the French National Institute of Health and Medical Research (Inserm) organised with the Stan Group a training programme on Bayesian Inference with Stan for Pharmacometrics in Paris. Daniel Lee and Michael Betancourt, who run the course over three days, are not only members of Stan’s development team, ... [Read more...]

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This is a lightening quick post just providing the script to draw a heart-shaped wordcloud, using the awesome wordcloud2 package. See the resulting image here:   Apparently, the original code allows you to fit a wordcloud to any shape, even custom shapes, but I didn’t find that functionality pushed out ... [Read more...]

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Wordclouds are one of the most visually straightforward, compelling ways of displaying text info in a graph. Of course, we have a lot of web pages (and even apps) that, given an input text, will plot you some nice tagclouds. However, when … Sigue leyendo → [Read more...]

BiclustGUI in R Ewoud De Troyer, University of Hasselt (CenStat) Biclustering in a GUI & Growing a GUI together! Introduction We are happy to announce the first release of the BiclustGUI on CRAN (RcmdrPlugin.BiclustGUI)! This GUI will you enable... [Read more...]

Wonderful, indeed, to have an RStan book in Japanese: Kentarou Matsuura. 2016. Bayesian Statistical Modeling Using Stan and R. Wonderful R Series, Volume 2. Kyoritsu Shuppan Co., Ltd. Google translate makes the following of the description posted on Amazon Japan (linked from the title above): In recent years, understanding of the phenomenon ... [Read more...]

By Carson Sievert, lead Plotly R developer I’m excited to announce that plotly’s R package just sent its first CRAN update in nearly four months. To install the update, run install.packages("plotly"). This update has breaking changes, enables new features, fixes numerous bugs, and takes us from ... [Read more...]

R’s boxplot function has a lot of useful parameters allowing us to change the behaviour and appearance of the boxplot graphs. In this exercise we will try to use those parameters in order to replicate the visual style of Matlab’s boxplot. Before trying out this exercise please make ... [Read more...]

We can use unsupervised machine learning to identify which drugs are associated with which adverse events. Specifically, machine learning can help us to create clusters based on gender, age, outcome of adverse event, route drug was administered, purpose the drug was used for, body mass index, etc. This can help ... [Read more...]

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I’m sure many of my fellow Mexicans will remember the historically ill-advised (to say the least) decision by our President to invite Donald Trump for a meeting. Talking to some fellow colleagues, we couldn’t help but notice that maybe in another era this decision would have been good ... [Read more...]

For quite some time now I have been using R’s caret package to choose the model for forecasting time series data. The approach is satisfactory as long as the model is not an evolving model (i.e. is not re-trained), or if it evolves rarely. If the model is ... [Read more...]

The inspiration for this post is a joint venture by both me and my husband, and its genesis lies more than 15 years in our past. One of the recurring conversations we have in our relationship (all long-term relationships have these, right?!) is about song lyrics and place names. I think ... [Read more...]

I’m sure many of my fellow Mexicans will remember the historically ill-advised (to say the least) decision by our President to invite Donald Trump for a meeting. Talking to some fellow colleagues, we couldn’t help but notice that maybe in another era this decision would have been good ... [Read more...]

Anyone that follows US politics will be aware of the tremendous changes and volatility that has struck the US political landscape in the past year. In this post, I leverage third-party data to surface who are the most frequent liars, and show how to build a containerized Shiny app to ... [Read more...]

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Many companies across a multitude of industries are currently maintaining data pipelines used to ingest and analyze large data streams. In effect, the proper implementation of such pipelines belongs to the realm of “data engineering”, and represent... [Read more...]

Radiant is a platform-independent browser-based interface for business analytics in R. I first introduced Radiant through R-bloggers on 5/2/2015 and, according to Dean Attali, the post was reasonably popular. So I decided to write a post about the chan... [Read more...]