Writing an R package is simple. Writing an R package via Github is simple and smart. Github adds all the traditional benefits of version control, in addition to showing off your work and providing and facilitating publication of your package. This tutorial was inspired by a blog post from the ... [Read more...]

A brief tutorial on ML estimation in R Recently, a colleague asked me to demonstrate how one can calculate maximum-likelihood (ML) parameter estimates in R. As I had been meaning to do this for my R course anyway, I decided to write up the following brief tutorial. In the tutorial, ... [Read more...]

One statistic which I find useful to form a first impression of a backtest is the success/winning percentage. Since it can mean different things, let’s be more precise: for a strategy over daily data, the winning percentage is the percentage of the days on which the strategy had ... [Read more...]

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I recently discovered the enigma.io resource, a repository of freely available public with the following goals (as stated on their website): The volume of data created by governments and businesses is growing exponentially. Organizations struggle ju... [Read more...]

Plotly’s new map making tools let you tell stories about data as it relates to geography. This post shows five examples of how you can make and style choropleth, subplot, scatter, bubble, and line maps. We made these maps with our APIs for R and Python. In the future, ... [Read more...]

Plotly’s new map making tools let you tell stories about data as it relates to geography. This post shows five examples of how you can make and style choropleth, subplot, scatter, bubble, and line maps. We made these maps with our APIs for R and ... [Read more...]

There is a nice package and paper about this here: http://www.jstatsoft.org/v57/i05/paper. However, the associated code is complex and uses lattice. Here's a brief recipe using base graphics that implements the above figure: set.seed(40) x [Read more...]

by John Mount (more articles) and Nina Zumel (more articles) When fitting and selecting models in a data science project, how do you know that your final model is good? And how sure are you that it's better than the models that you rejected? In this Part 2 of our four ... [Read more...]

Dear R users, Just a brief post to tell you something a [...] [Read more...]

Hm, wasn't there a catchy tune that started that way? Just kidding. But about twenty years ago today I sent this email about a new Debian package upload -- and that makes it (as best as I can tell) the earliest trace of me doing Debian work. It so h... [Read more...]

Hm, wasn't there a catchy tune that started that way? Just kidding. But about twenty years ago today I sent this email about a new Debian package upload -- and that makes it (as best as I can tell) the earliest trace of me doing Debian work. It so h... [Read more...]

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ggtree applies the concepts of grammar of graphic in phylogenetic tree presentation and make it easy to add multiple layers of text and even figures above a 🌲. Here, I cartoonize a phylogenetic tree generated by ggtree with comicR, which is a funny package to generate comic (xkcd-like) graph in R. ... [Read more...]

I had to read a lot of books in graduate school. Some were life-changing, and others were forgettable. If I could bring a reading list back in time for my ‘first year’ graduate self, it would include the following: Bayesian Data Analysis Third Edition, by Andrew Gelman, John B. Carlin, ... [Read more...]

Today, the latest version of the data.tree package was published to CRAN. This version has been named Elder, as in celtic symbolism the elder tree stands for transition, evolution, and continuation, at least according to this site. Transition, evolution, and continuation. Sigh, beautiful. Back to the here and now: ... [Read more...]

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BlueSky Statistics is a new GUI-driven statistical data analysis tool for Windows. It provides a series of dialogs to import and manipluate data, and to perform statistical analysis and visualization tasks. (Think: more like SPSS than RStudio.) The underlying operations are implemented using R code, which you can inspect and ... [Read more...]