R-bloggers

This is a second blog post in a series about the supercells package. You can read the first one at “supercells: universal superpixels algorithm for applications to geospatial data”. The main idea of supercells is to create groupings of adjacent c...

Introduction Traditional linear models, such as the output of the R function lm(), are often loaded with a set of strong assumptions. Take univariate regression: \[ Y = q+mX+\varepsilon. (\#eq:lm) \] This equation assumes that: The conditional mean...

Since the solution to the previous riddle from The Riddler on the maximum of  different terms in the composed operation a∅b∅c∅d∅e∅f depending on the bracketing ordering and the meaning of each ∅ among one of the six elementary operations got posted today as 974,860, I got back ...

The fifteenth annual R/Finance conference for applied finance using R will be held on May 19 and 20, 2023 in Chicago, IL, at the University of Illinois at Chicago.  The... The post The 15th Annual R/Finance Conference 2023 appeared first on R Consortium.

Back in April 2022, I participated in the #30DayChartChallenge and for the Storytelling prompt on day 29 in the Uncertainty category, I created the Goldilocks Decision Tree. I also gave a talk to R-Ladies Nairobi on the challenge and used the flowch...

The {riskassessment} app, presented by Aaron Clark from the R Validation Hub, was voted best Shiny app at shinyConf 2023. Congratulations! The 2nd Annual Shiny Conference was held March 15-17,... The post {riskassessment} app from the R Validation Hub voted best Shiny app at shinyConf 2023! 🎉 appeared first on R Consortium.

Appsilon is on a mission to tackle global challenges around climate change and biodiversity loss – the biggest threats faced by humanity. We collaborate with scientists, organizations, and businesses to make a positive impact on the world. Coral reefs are essential to the survival of marine life, and for the people ...

dplyr The original coalesce function When cleaning and aggregating data using dplyr package in R, coalesce() is extremely handy to replace the NA value with values from other columns. A simple example How does coalesce() work originally? B...

The original coalesce function When cleaning and aggregating data using dplyr package in R, coalesce() is extremely handy to replace the NA value with values from other columns. A simple example How does coalesce() work originally? Below is a s...

The original coalesce function When cleaning and aggregating data using dplyr package in R, coalesce() is extremely handy to replace the NA value with values from other columns. A simple example How does coalesce() work originally? Below is a s...

The paper Back in 2020, when we were all siting in the COVID lockdown, I had a call with Bahman Rostami-Tabar to discuss one of our projects. He told me that he had an hourly data of an Emergency Department from a hospital in Wales, and suggested writing a paper for ...

Learn how to develop an R package properly in R with us on May 24th! With the 3rd chapter of our “Introduction to R” learning path we continue our journey towards building strong R programming foundations and skills. With the “Build an R package” w...

Introduction Yesterday I posted on using VBA to execute R code that is written inside of the VBA script. So today, I will go over a simple example on executing an R script from VBA. So let’s get into the code and what it does. First, let’s look ...

Most of the time, if there is a recession in an economy, it leads to a high unemployment rate, and then it triggers the over-qualified employment rate; Because people would feel financially insecure and they’d accept the first job that comes their way regardless of how the job suit ...