The Shiny Module Design Pattern
Foremost in your mind should be the quintessential reality of R: Everything that happens in R is the result of a function call. Shiny is no exception. To write a...continue reading.
Foremost in your mind should be the quintessential reality of R: Everything that happens in R is the result of a function call. Shiny is no exception. To write a...continue reading.
Most vignettes are built when a package is built, but there are occasions where you just want to include a pdf. For example when you want to include a paper....continue reading.
Searching for Speed In my previous post, I described the method I use for compiling Fortran (or C) into an R package using the .Call interface. This post will compare...continue reading.
I will be pushing a new version of futile.logger (version 1.5) to CRAN in January. This version introduces a number …Continue reading →continue reading.
Searching for Speed Everyone who has ever used R has, at one time or another, wished for an increase in R’s speed. If you haven’t, you’re not using R hard...continue reading.
You can file this one under “I may have the very specific solution if you’re having exactly the same problem.” So: if you’re running some R code and you see...continue reading.
Introduction Over the past few weeks I’ve published articles about my new package, MCHT, starting with an introduction, a further technical discussion, demonstrating maximized Monte Carlo (MMC) hypothesis testing, bootstrap...continue reading.
Introduction I’ve spent the past few weeks writing about MCHT, my new package for Monte Carlo and bootstrap hypothesis testing. After discussing how to use MCHT safely, I discussed how...continue reading.
Author: Jared P. Lander Publisher: Addison-Wesley Professional Release Date: June 2017 Pages: 560 Available at: Amazon, O’Reilly Safari Scientists, financial analysts, public policy professionals, and programmers use the free, open-source R language to build powerful...continue reading.
Author: Yanchang Zhao Publisher: Elsevier Release Date: Apr, 2013 Pages: 160 Available at: Cran R-Project, RDataMining, Amazon This book guides R users into data mining and helps data miners who use R in their work....continue reading.
I announced months ago that one of my video courses, Unpacking NumPy and Pandas, was going to be turned into a book. Today I’m pleased to announce that this book...continue reading.
Author: Richard Cotton Publisher: O’Reilly Media Release Date: September 2013 Pages: 400 Available at: Amazon, O’Reilly Safari This book provides a good foundation for data analysis using the R language and software environment. You...continue reading.
Today is the first day of the new academic year at the University of Utah. This semester I am teaching MATH 3070: Applied Statistics I, the fourth time I’ve taught...continue reading.
This final course caps the series off with applications. The first half of the course covers two major areas of AI: natural language processing (NLP) and computer vision (CV). In...continue reading.
Originally posted on The Geokook.: When I was considering submitting my paper on psd to J. Stat. Soft. (JSS), I kept noticing that the time from “Submitted” to “Accepted” was nearly two years...continue reading.
While I understand the languages I need well enough, I don’t know much about programming best practices. This goes from function naming to code organization, along with all the tools...continue reading.
The team at Packt will internally turn the video course Unpacking NumPy and Pandas into a book. This means there will be yet another format for people to learn from...continue reading.
Pipes have been a fundamental aspect of computer programming for many decades. In short, the semantics of pipes can be thought of as taking the output from the left-hand side...continue reading.
Everything that exists in R is an object ~ John M. Chambers Everything that happens in R is the result of a function call ~ John M. Chambers Names have...continue reading.
Here’s a thought puzzle for you… given the following line of computer code, “what could go wrong?” That is, what kinds of issues could arise from submitting that code to...continue reading.