Help Delphi's COVIDcast Project fight the pandemic!

The Delphi epidemiological forecasting group at Carnegie Mellon University is undertaking a massive effort to develop leading indicators for COVID-19 outbreaks, and if you are an R or Python developer you can help. Delphi is working with both Facebook and Google to analyze the data from daily surveys that ask respondents if they (or people they know) are experiencing COVID like symptoms. The responses permit Delphi to construct a % CLI in-community signal at the county level across the United States that is being used to improve forecasts and inform public health officials.

Read more

Share Comments · · · · · ·

Fake Survival Data for the Disease Progression Model

In a previous post, I showed some examples of simulating fake data from a few packages that are useful for common simulation tasks and indicated that I would be following up with a look at simulating survival data. A tremendous amount of work in survival analysis has been done in R1 and it will take some time to explore what’s out there. In this first post, I am just going to jump into the ocean of ideas and see if I can fish out and interesting example.

Read more

Share Comments · · · · · · · ·

R Package Integration with Modern Reusable C++ Code Using Rcpp - Part 6

In this final post of our six-part series, we will look at a quick and relatively easy way to provide documentation for each of the C++ functions that is exported as an R function in an Rcpp-based package.

Read more

Share Comments · · · · ·

August 2020: "Top 40" New CRAN Packages

One hundred forty-six new packages stuck to CRAN in August. Below, are my ‘Top 40’ picks in eleven categories: Computational Methods, Data, Genomics, Insurance, Machine Learning, Mathematics, Medicine, Statistics, Time Series, Utilities and Visualization.

Read more

Share Comments · · ·

Some Thoughts on R / Medicine 2020

The third annual R / Medicine Conference was held online this year from August 27th to August 29th and was an unqualified success. The last minute pivot from small, in-person conference, which was to be held onsite at the Children’s Hospital of Philadelphia, CHOP, to a virtual event turned out to be a catalyst for positive change. Under the imaginative, and tireless leadership of conference chair Dr.

Read more

Share Comments · · · ·

Fake Data with R

In this post, I provide some reasons for why a statistician or data scientist might want to simulate synthetic or ‘fake’ data, and briefly examine several R packages that make this task a little easier.

Read more

Share Comments · · ·

Crowd Counting Consortium Crowd Data and Shiny Dashboard

This post spotlights one of the most comprehensive open-source event data sets on protests, demonstrations, and other political gatherings in the contemporary U.S., along with a new GitHub repository and Shiny dashboard that make the data much easier to use and explore.

Read more

Share Comments · · · · ·

July 2020: "Top 40" New CRAN Packages

Here are my picks for the ‘Top 40’ new CRAN packages for July 2020 in seven categories: Computational Methods, Data, Genomics, Machine Learning, Science, Statistics, and Utilities.

Read more

Share Comments · · ·

R Package Integration with Modern Reusable C++ Code Using Rcpp - Part 5

We continue the tutorial on developing Rcpp implementations that keep both reusable and standard C++ code separate from the R interface. In Part 4, we went through the build processes for a simple package containing a single C++ .cpp file. In this post, we work through a more realistic case which involves multiple reusable C++ files and the C++ interface files that export functions to R.

Read more

Share Comments · · · · · ·

R Package Integration with Modern Reusable C++ Code Using Rcpp - Part 4

This post is a step by step guide for using the RStudio IDE to build an R package with integrated C++ code, and shows how to use exported functions from within an R session.

Read more

Share Comments · · · · · ·