Recently there is a lot of noise about Julia. I have decided to test its speed in simulation tasks on my toy Cont model. I thought I had vectorized my GNU R code pretty well, but Julia is much faster.The model was described in my earlier posts so let ... [Read more...]

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It's no coincidence that while the usage of the R language is skyrocketing (as shown in the recent Rexer Analytics and KDNuggets polls), the growth in data scientist jobs is also skyrocketing. R is the lingua franca of data science, and as the pervasive statistical software in the academic sector, ... [Read more...]

I’ve always thought that it’s silly, in most cases, source compiling software that’s already available in binary form. To the end of making more binary packages available to Mac users, I just started contributing to a project that is creating a repository of 64 bit builds of pkgsrc’... [Read more...]

My friends and co-workers got lucky enough to spend about two weeks living in the Aquarius habitat, NOAA’s undersea research lab in the Florida Keys. I, unfortunately, am stuck on dry land (or on a boat above the habitat, watching … Continue reading → [Read more...]

The International Disaster Database EM-DAT from the Center for Research on the Epidemiology of Disasters (CRED, Belgium) is often used as a reference for losses on human life and property resulting from natural and man-made disasters. This databas... [Read more...]

# This post does some basic correlation analysis between responses# to the survey I recently released through R Shiny at:http://www.econometricsbysimulation.com/2013/11/Shiny-Survey-Tool.html # I have saved the data from the survey after completin... [Read more...]

Thank you for tuning in! In this post, a continuation of Three Ways to Run Bayesian Models in R, I will: Handwave an explanation of the Laplace Approximation, a fast and (hopefully not too) dirty method to approximate the posterior of a Bayesian model. Show that it is super easy ... [Read more...]

In my last post, I suggested that the Francis parameterization of the von Bertalanffy growth model may be used in cases where the typical parameterization did not converge (likely due to issues related to highly correlated parameters and data with … Continue reading → [Read more...]

by Joseph Rickert Drew Linzer, the Bayesian statistician who attracted considerable attention last year with his spot-on, R-based forecast of the 2012 presidential election, recently gave a tutorial on Bayesian statistics to the Bay Area useR Group (BARUG). Drew covered quite a bit of ground running R code that showed how ... [Read more...]

The Global Biodiversity Information Facility (GBIF) is a warehouse of species occurrence data - collecting data from a lot of different sources. Our package rgbif allows you to interact with GBIF from R. We interact with GBIF via their Application Programming Interface, or API. Our last version on CRAN (v0.3) ... [Read more...]

[This article was first published on bayesianbiologist » Rstats, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to [Read more...]

Thanks to R-bloggers, I discovered that googleVis 0.4.7 with RStudio integration is available on CRAN. This is great news, but wasn't this that catched my eye. At the end of the post a beautiful map shows a terrible event of … Continue reading → [Read more...]

The following is the code from a presentation made by Rosemary Hartman to the Davis R Users’ Group. I’ve run the code through the spin function in knitr to produce this post. Download the script to walk through here. First, make your plot. I am going to use the ... [Read more...]

www.R-fiddle.org is an early stage beta that provides you with a free and powerful environment to write, run and share R-code right inside your browser. It even offers the option to include packages. Since a couple of days it’s gaining more and more traction, and was mentioned ... [Read more...]

Here I show how to convert tabulated data into a json format that can be used in d3 graphics. The motivation for this was an attempt at getting an overview of topic models (link). Illustrations like the one to the right are very attractive; my motivati... [Read more...]

There’s a classic probability problem/brainteaser popularized by google that states: In a country in which people only want boys, every family continues to have children until they have a boy. If they have a girl, they have another child. If they have a boy, they stop. What is ... [Read more...]

When choosing the hyperparameters for Generalized Boosted Regression Models, two important choices are shrinkage and the number of trees. Generally a smaller shrinkage with more trees produces a better model, but the modeling time significantly increases. Building a model with too many trees that are heavily cut back by cross ... [Read more...]

After some time of using shiny I got to the point where I needed to send some arbitrary data from the client to the server, process it with R and return some other data to the client. As a client/server programming newbie this was a challenge for me as ... [Read more...]

Dirac delta function is an important tool in Fourier Analysis. It is used specially in electrodynamics and signal processing routinely.  A function over set of data points is often shown with a delta function representation. A novice reader relyin... [Read more...]