Welcome 2024. This blog is just a personal hobby. When I’m extra busy as I was this year the blog is a front-line casualty. This is why 2023 saw a weaker posting stream. Nonetheless I am pleased with just over 30K visits this year, with an average of roughly one minute ...

Introduction Hey fellow R enthusiasts! Today, let’s dive into the fascinating world of Lowess smoothing and learn how to harness its power for creating smooth visualizations of your data. Whether you’re new to R or a seasoned pro, this step-by-s...

In my December 22 blog, I first introduced the classic parametric quantile regression (QR) concept. I then showed how one could use the qeML package to perform quantile regression nonparametrically, using the package’s qeKNN function for a k-Nearest Neighbors approach. A reader then asked if this could be applied to ...

Figure 1: images/tradeornottrade.jpg It took me long time to muster the motivation to write this post. I greedily dreamed of putting something together that would unveil the secret to crypto trading while amassing a ...

prediction intervals for miles per gallon (mpg) car consumption using conformalized Kernel ridge regression and random forest.

OK, I’m sorry for the clickbait title. But I really do think a lot of the insights in this guide are trivial and very easy to understand yet surprisingly unknown to many people.1  In this guide we will discuss how to lose weight or solve (almost) any other kind ...

In previous years, when it gets to the end of the year, I’ve written blog posts about reflecting on a year of #TidyTuesday data visualisations, or making your own #RStats Wrapped in the style of SpotifyWrapped. This year, I wanted to reflect on...

In the realm of business and leadership, one statistical phenomenon often goes unrecognized yet significantly influences our understanding of performance and success. This is the concept of reversion to the mean. This seemingly simple statistical occurrence can profoundly impact how we perceive management strategies, leadership effectiveness, and even the fate ...

Introduction Ready to journey through time with R? Buckle up, because we’re about to explore the art of visualizing time-dependent data, known as time series analysis. Whether you’re tracking monthly sales patterns or analyzing yearly climate tr...

Last year, Julia Silge, co-organizer of the Salt Lake City R User Group discussed the group’s plans to meld in-person and online activities with the R Consortium. This year, Andrew... The post Salt Lake City R User Group’s Success Story: Blending In-Person and Online Events appeared first on ...

n the world of programming, where complexity often intertwines with the need for efficiency, there exists a practice as ancient as it is modern: memoization. This concept, akin to the meticulous art of typesetting in the days of yore, stands as a testa...

Introduction Time series analysis is a powerful tool in the hands of a data scientist or analyst. It allows us to uncover patterns, trends, and insights hidden within temporal data. In this blog post, we’ll explore how to create a time series in...

# 141–142Puzzles:PQ_141: content filePQ_142: content fileLast time I noted that usually PQ Puzzles are focused on times and dates. And… it confirms this week. Lets count it.PQ_141Rolling averages and other rolling calculations are very useful concepts ...

Puzzles no. 349–353PuzzlesAuthor: ExcelBIPuzzles:#349: content file#350: content file#351: content file#352: content file#353: content fileLet dig in those numbers.Puzzle #349In this puzzle we have to translate “normal” (Arabic) numbers into Roman nume...