Author: R Views

We knew we were on to something important early on in the process of organizing R / Medicine 2018. Even during our initial attempts to articulate the differences between this...continue reading.

September was another relatively slow month for new package activity on CRAN: “only” 126 new packages by my count. My Top 40 list is heavy on what I characterize as...continue reading.

It’s no secret that there are few industries more competitive than the pharmaceutical industry. Big money placed on long-shot bets for block-buster drugs where being first makes all the difference...continue reading.

Package developers relaxed a bit in August.; only 160 new packages went to CRAN that month. Here are my “Top 40” picks organized into seven categories: Data, Machine Learning, Science,...continue reading.

I wish this post existed when I was struggling to add interactive plots to my Shiny app. I was mainly focused on recreating functionality found in other “dashboarding” applications. When...continue reading.

Today, we will look at the GDP data that is released every quarter or so by the Bureau of Economic Analysis (BEA), and get familiar with the BEA API (see...continue reading.

Why is this about trucks? Last month, at the R/Pharma conference that took place on the Harvard Campus, I presented bioWARP, a large Shiny application containing more than 500,000 lines...continue reading.

In the previous post, we introduced plumber as a way to expose R processes and programs to external systems via REST API endpoints. In this post, we’ll go further by...continue reading.

July was a big month for submitting new packages to CRAN; by my count, 251 unique and truly new packages were accepted. In addition to quantity, I was pleased to...continue reading.

It all starts with sandboxes. Development sandboxes are dedicated safe spaces for experimentation and creativity. A sandbox is a place where you can go to test and break things, without...continue reading.

Last month, I was delighted to be invited to speak, along with Hadley Wickham, at the seventy-first meeting of the TokyoR user group in Tokyo, Japan. This day-long mini-conference attracted...continue reading.

Today, in honor of last week’s jobs report from the Bureau of Labor Statistics (BLS), we will visualize jobs data with ggplot2 and then, more extensively with highcharter. Our aim...continue reading.

The Joint Statistical Meetings offer an astounding number of talks. It is impossible for an individual to see more than a small portion of what is going on. Even so,...continue reading.

Approximately 144 new packages stuck to CRAN in June. That fact that 31 of these are specialized to particular scientific disciplines or analyses provides some evidence to my hypothesis that...continue reading.

JSM 2018 is almost here! Usually around this time, I comb through the entire program manually making an itinerary for myself. But this year I decided to try something new...continue reading.

Moving R resources from development to production can be a challenge, especially when the resource isn’t something like a shiny application or rmarkdown document that can be easily published and...continue reading.

In our first blog post, we introduced CVXR, an R package for disciplined convex optimization, and showed how to model and solve a non-negative least squares problem using its interface....continue reading.

In previous posts, we covered how to run a Monte Carlo simulation and how to visualize the results. Today, we will wrap that work into a Shiny app wherein a...continue reading.

In our previous blog post, we introduced CVXR, an R package for disciplined convex optimization. The package allows one to describe an optimization problem with Disciplined Convex Programming rules using...continue reading.

Writing a domain-specific language (DSL) is a powerful and fairly common method for extending the R language. Both ggplot2 and dplyr, for example, are DSLs. (See Hadley’s chapter in Advanced...continue reading.