R-bloggers

This is part of a series of related posts on Apache Arrow. Other posts in the series are: Understanding the Parquet file format Reading and Writing Data with {arrow} (This post) Parquet vs the RDS Format (Coming soon) What is (Apache) Arrow? Ap...

Photo by Negative Space (Pexels) I often find myself performing analyses looped over certain parts of the data in my Rmarkdown. I like seeing the output under different headings in the final output for easy navigation. Although it i...

Photo by Negative Space (Pexels) I often find myself performing analyses looped over certain parts of the data in my Rmarkdown. I like seeing the output under different headings in the final output for easy navigation. Although it is rathe...

I have made several blog posts on the code I use to compute rank dependent utility In this blogpost however I want to illustrate (by means of an example in R) how the choice of forward vs backward induction can impact the valuation of the same prospect. The Problem To ...

In the realm of statistics, hypothesis testing stands as a cornerstone, enabling researchers and data analysts to make informed decisions based on data. At its core, hypothesis testing is about determining the likelihood that a certain premise about a ...

Implementing parallel execution in your code can be both a blessing and a curse. On the one hand, you’re leveraging more power your CPU has to offer and increasing execution speed, but on the other, you’re sacrificing the simplicity of single-threaded programs. Luckily, parallel processing in R is ...

Bluesky is shaping up to be a nice, “billionaire-proof”1 replacement of what Twitter once was. To bring back a piece of the thriving R community that once existed on ex-Twitter, I decided to bring back the R-Bloggers bot, which spread the word about...

Photo by jimo663 (Pixabay) Backdrop We have been using machine learning algorithms (specifically lasso and ridge regression) to identify the genes that correlate with different clinical outcomes in cancer. Coming purely from a biol...

Photo by Callum Hill (Unsplash) I think most people start using R with scripts initially. Scripts are great for modular computational tasks, but for generating informative reports, Rmarkdown is a must. Rmd makes it possible to use a...

Photo by jimo663 (Pixabay) Backdrop We have been using machine learning algorithms (specifically lasso and ridge regression) to identify the genes that correlate with different clinical outcomes in cancer. Coming purely from a biology bac...

Photo by Callum Hill (Unsplash) I think most people start using R with scripts initially. Scripts are great for modular computational tasks, but for generating informative reports, Rmarkdown is a must. Rmd makes it possible to use a YAML h...

Performing Natural Language Processing with R means you either have experience with R, or experience with NLP, or both, or neither. Find out why R is important to NLP, why NLP is important to you, and how to learn it. The post A Guide to Natural Language Processing with R ...

This post extends the replication from the Adaptive Asset Allocation Replication post by running the analysis on OOS (out-of-sample) data from 2015 through 2023. Thanks to Dale Rosenthal for helpful comments. The paper uses the 5 portfolios below. Each...

Note This is a guest blog post written by Benjamin Nowak. He is the winner of the Geocomputation with R book cover competition for the second edition of the book. Congratulations! One page, many things to show Like Marco Sciaini, the ...

Leonetto Cappiello, Benedictine R is known for its versatility and extensive collection of packages. As of the publishing of this post, there are over 23 thousand packages on R-universe. But what if I told you that you could do some pretty amazing things without loading any packages at all? There’s ...

Leonetto Cappiello, Benedictine R is known for its versatility and extensive collection of packages. As of the publishing of this post, there are over 23 thousand packages on R-universe. But what if I told you that you could do some pretty amazing things without loading any packages at all? There’s ...

Once upon a time I was a dedicated network scientist. Currently though they are more peripheral in my work and I just like to toy around with interesting datasets. One of those is the CRAN co-authorship network. In a co-authorship network, two i...