How to get "dplyr" feeling without "dplyr"

When you are working with large datasets performance comes to everyone’s mind. Especially when converting datasets from one data type to another. And choosing the right method can make a huge difference. So in this case, I will be creating…Read more ›

Paul Stewart of the Moffitt Cancer Center Bio-Data Club talked to the R Consortium about the group’s experience of shifting events online. Paul shared that despite his initial concerns they... The post Inclusive Space for Bio-Data and Medical R Group in Tampa, Florida appeared first on R Consortium.

Find the next number in the sequence by Jerry Tuttle Between ages two and four, most children can count up to at least ten. If you ask your child, "What number comes next after 1, 2, 3, 4, 5?" they will probably say "6." But to math nerds, any number can be the next number … Continue ...

Introduction Brownian motion, also known as the random motion of particles suspended in a fluid, is a phenomenon that was first described by Scottish botanist Robert Brown in 1827. It occurs when a particle is subjected to a series of random col...

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 ...