Articles by - r

A modeler’s primer for working with SARS-CoV-2 genomic data

February 14, 2022 | - r

SARS-CoV-2 is the name of the virus that causes COVID-19. There have been a lot of really interesting analyses of SARS-CoV-2 genomic data that look at patterns over time in the circulation of different variants. When we started writing this post, we di... [Read more...]

Forecasting tools in development

June 16, 2019 | - r

As I’ve been writing up a progress report for my NIGMS R35 MIRA award, I’ve been reminded at how much of the work that we’ve been doing is focused on forecasting infrastructure. A common theme in the Reich Lab is making operational forecasts of i... [Read more...]

Forecast Framework Demo

January 28, 2019 | - r

Want to learn how to do some forecasting with R? Here’s your chance to try out a new time-series forecasting package for R whose aim is to standardize and simplify the process of making and evaluating forecasts! The Reich Lab uses an R package calle... [Read more...]

Data needs for forecasting influenza pandemics

September 16, 2018 | - r

Last week, I attended a Pandemic Influenza Exercise at the US CDC. To be clear, there is NOT a pandemic occuring right now, but the CDC ran this exercise where hundreds of staff members and outside observers and participants came together to practice g... [Read more...]

Shiny Server on Docker: CentOS 7 Edition

June 2, 2017 | - r

Docker as a Disposable Test Environment Docker is generally used for application development and deployment. While it is possible to develop and deploy Shiny applications in Docker containers, I have found it is much more useful to keep a Shiny Docker... [Read more...]

Calculate Inflation with the blscrapeR Package

June 1, 2017 | - r

The Consumer Price Index (CPI) is the main standard for tracking the inflation of the U.S. dollar. The various CPI measures are published monthly by the Bureau of Labor Statistics. For this walk-through, we will be using the blcsrapeR package to downl... [Read more...]

Scientific RMarkdown

May 31, 2016 | - r

Recently, in my own little scientific community bubble there was increasing interest in markdown and its use for science. As a big fan of markdown and espacially rmarkdown, I created the following cheat sheet and shared it at a couple of events. Sinc... [Read more...]

What makes us happy? Lets look at data to find out.

November 13, 2013 | - r

I’ve had a lot of different jobs over the past 4 years, and I’ve had some incredible experiences along the way. Lately, I’ve been struggling with what to do next. Or perhaps more accurately, I’ve been struggling with how to decide what to do ne...

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Evolve your own beats — automatically generating music via algorithms

July 26, 2013 | - r

Update: you can find the next post in this series here. I recently went to an excellent music meetup where people spoke about the intersection of music and technology. One speaker in particular talked about how music is now being generated by computer. Music has always fascinated me. It can ...

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NBA Predictions — Finals

June 12, 2012 | - r

Now we are on to the finals! The algorithm enters the finals with a 6-4 record so far. Here is what we have for tonight: So, let’s see if OKC wins this one.