How to join this free online event with Will Landau, Eric Scott and Joel Nitta. The {targets} package is a pipeline tool for Statistics and data science in R. With {targets}, you can maintain a reproducible workflow without repeating yourself. {targets} learns how your pipeline fits together, skips costly runtime ...

The R versus Python debate has been going on for as long as both languages have existed. I’m not one to takes sides - I think you need to use the best tool for the job. Sometimes R will be better. Sometimes Python will be better. But what happens...

This is the first of a series of three blog posts about using the {shinytest2} package to develop automated tests for shiny applications. In the posts we will cover the purpose of browser-driven...

According to modern recommendations in data viz, lollipop charts are generally a better alternative to bar charts, as they reduce the visual distortion caused by the length of the bars, making it easier to compare the values. So, in the … Continue reading →

Do you know how long EDA (exploratory data analysis) used to take me? Not hours, not days… A full week! Listen, you don’t know how good you have it. With this new R package I’m about to show you (plus one BONUS hack), you’ll cut your EDA ...

Introduction Random walks are a mathematical concept that have found various applications in fields such as economics, biology, and computer science. At a high level, a random walk refers to a process in which a set of objects move in a random d...

Authors: Ivan Svetunkov Published at: Open Forecast Abstract: There are many forecasting related packages in R with varied popularity, the most famous of all being forecast, which implements several important forecasting approaches, such as ARIMA, ETS, TBATS and others. However, the main issue with the existing functionality is the lack ...

The Mandelbrot set is a set of complex numbers  c for which the function  does not diverge to infinity when iterate from , and therefore remains bounded in absolute value. For little stretching, we can create a Mandlebrot set and draw it with image function.…Read more ›

The shiny.benchmark package by Appsilon allows you to compare the performance of different versions of R Shiny applications. You can write instructions that will be executed and evaluated on different versions of your app and easily measure the performance differences. In today’s article, you’ll learn how to ...

In my previous post Computing Win Probability of T20 matches I had discussed various approaches on computing Win Probability of T20 matches. I had created ML models with glmnet and random forest using TidyModels. This was what I had achieved I wanted to see if the performance of the models ...

One hundred sixty-seven new packages made it to CRAN in November: Here are my “Top 40” selections in fourteen categories: Climate Modeling: Computational Methods, Data, Ecology, Epidemiology, Genomics, Machine Learning, Mathematics, Networks, Pharma, Statistics, Time Series, Utilities, and Visualization. Climate Modeling gtfs2emis v0.1.0: Implements a bottom up model to estimate ...

Quite often data processing or analysis needs bring us to write own functions. Sometimes these self-defined functions are only meaningful and useful within a certain workflow or even a certain script. But other self-written functions may be more gene...

2022 was my best year for running to date. In 2021, my goal was to run 2021 km. For 2022, I wanted to see if I could run 2500 km and also to run 50 HM-or-more distance runs. I managed both and ended the year on a total of 2734 km. I also bagged two […]