R-bloggers

It is well known, though often dismissed, that the areas of spatial units (cells, pixels) based on unprojected coordinates (longitude-latitude degrees, arc-minutes or arc-seconds) are wildly inconsistent across the globe. Towards the poles, as the longitude meridians approach each other, … Continue reading →

#149–150PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #149This weekend riddles are little bit easier than last week, but it doesn’t mean that they are not chall...

Efficiency is paramount in navigating the intricacies of data science workflows, and multiple challenges can occur. For example: Working with large datasets Data exist in a variety of formats Different computing systems are involved Different access methods to data This post delves into the key considerations for crafting a robust ...

Just writing this one quickly as it’s been hanging around my browser tabs for weeks… I wrote Taking steps (in XML) almost 7 years ago and once in a while, I still grab Apple Health data from my phone and play around with it in R for a few minutes. ...

Puzzles no. 369–373PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #369Today we get series of comma separated numbers and instruction “In” or “Out”. We have to sh...

Introduction Ever feel like your data is hiding secrets? Like it’s whispering truths but you just can’t quite grasp them? Well, fear not, fellow data sleuths! Today, we’ll crack the code of an R function that’s like a magnifying glass for your s...

In this post, we improve a simple GLM by insights from a boosted trees model.

For the fourth course, we will discuss Wasserstein distance and Optimal Transport. Last week, we mentioned distances, dissimilarity and divergences. But before talking about Wasserstein, we should mention Cramer distance. Cramer and Wasserstein distances The definition of Cramér distance, for , is while Wasserstein will be (also for ) If we ...

This blog post will cover what centering is, what a sum-to-zero contrast is, why and when you should use them, and how you can do them in R. Specifically, we will focus on their use and how they affect coefficient interpretation in regression tab...

Last year, Antonio Hegar of the R Glasgow user group shared the challenges of organizing an R user group in Glasgow. The group now regularly hosts events, attracting local R... The post Join “Fake it Until You Make it: How and Why to Simulate Data” – First Glasgow User Group Event ...

About Capybara is a fast and small footprint software that provides efficient functions for demeaning variables before conducting a GLM estimation via Iteratively Weighted Least Squares (IWLS). This technique is particularly useful when estimati...

Introduction Yesterday I discussed the use of the function internal_make_wflw_predictions() in the tidyAML R package. Today I will discuss the use of the function extract_wflw_pred() and the brand new function extract_regression_residuals() in t...

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...

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 ...