R-bloggers

I am an applied economist and economists love Stata. Every time I work with somebody who uses Stata on panel models with fixed effects and clustered standard errors I am mildly confused by Stata’s ‘reghdfe’ function producing standard errors that...

The scientific response to the COVID-19 pandemic has been astounding. Aside from efforts to generate vaccines, the genomic surveillance of the virus has been truly remarkable. For example, the nextstrain project has sequence many SARS-CoV-2 genomes. In fact, the rapid identification of multiple new strains and mutations by diverse groups ...

Last week I spend a few hours figuring out how to auto deploy a shiny app on 2 apps on shinyapps.io from github. You can see the result on this github repository. This github repository is connected to two shiny apps on shinyapps.io. Here is what I en...

Value the users of your Shiny App: Do not overlook the power of a professional UI. You can have an amazing analysis behind the scenes, but if you don’t have an intuitive and appealing User Interface, your users might not interact with it properly. ...

New Course Available Now: Advanced Data Transformation Data comes in many shapes and forms from all kinds of data sources. The first step before any statistical analysis can be done, is to bring the data into a suitable format. In R, there are three d...

For a long time, I’ve been curious about something. It is a truth I’ve seen casually dropped in textbooks, package documentation, and tweets: random effects and penalized smoothing splines are the same thing. It sounds so profound and enlightened. Wha...

We start a new series on neural networks and deep learning. Neural networks and their use in finance are not new. But are still only a fraction of the research output. A recent Google scholar search found only 6% of the articles on stock price price forecasting discussed neural networks.1 Artificial ...

As The Riddler proposed for several weeks a CrossProduct™ puzzle when 3 x n one-digit integers have to be deduced from their rowwise and columnwise products, I attempted at writing an R solver by applying a few basic rules repeatedly, which worked for the first two puzzles, if not for the ...

We gather macroeconomic data for France, Germany, Italy, Spain & the Euro area, which can be used for various purposes, especially for the estimation and the calibration of general equilibrium models. This database is built and automatically updated through DBnomics using the rdbnomics package. All the code is written in R, ...

Deep Learning in R – MNIST Classifier with Keras In a day and age where everyone seems to know how to solve at least basic deep learning tasks with Python, one question arises: How does R fit into the whole deep learning picture? You don’t need deep learning algorithms to ...

👉 Sign Up For More Blog Articles 👈 Many data scientists struggle with distributing their work. However, you can make that a problem of the past thanks to Shiny. The Shiny app is gold for Data Scientists. Here are five reasons you ...

Its been a while since I last posted anything on my blog, so I thought I would share an update. Recently, I had the opportunity to present for my midterm examination a deep learning framework of my choosing. I chose to give a talk on (you guessed it!) convolutional neural ...

The CDC continues to update its counts of deaths by cause for 2020 as data comes in from the jurisdictions that report to it. The data are by now fairly complete, though there are still significant gaps in several states due to delayed reporting. North Carolina, in particular, has yet to ...