R

Mortgage rates have been the highest in the US over the last 20 years. Inventory shortage and high inflation have driven home prices up. I have analyzed this situation by … Read more

Data visualization is a crucial aspect of data analysis and exploration. It allows us to gain insights, spot trends, and communicate our findings effectively. In R, there are numerous packages … Read more

In the following we show how it is possible to obtain parallelizable, unbiased and computationally cheap estimates of Crossed random effects models with a linear cost in the number of … Read more

I work with lots of environmental time series data from stationary instruments. This post describes why you should avoid mixing data and metadata in a single file and instead suggests … Read more

Data visualization is a crucial tool in the data scientist’s toolkit. It allows us to explore and communicate complex patterns and insights effectively. In the world of R programming, one … Read more

[This article was first published on ouR data generation, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content … Read more

If you didn’t read or if you don’t remember my post Using implicitization to split a ball, take a look at it before reading this one. To sum up, I … Read more

This post has been cross-posted on the R-hub blog, and the R-hub blog maintainers have contributed to the review and improvement of this post. In a previous R-hub blog post, … Read more

As part of our multilingual publishing project, and with funding from the R Consortium, we’ve worked on the R package babeldown for translating Markdown-based content using the DeepL API. In … Read more

Javier Orraca-Deatcu of the Southern California R User Group (SoCal RUG) highlighted his work at a health insurance company for quality of life improvements through data science models. He uses … Read more

Data visualization is a crucial tool in data analysis, allowing us to gain insights from our data quickly. One of the fundamental techniques for exploring relationships between variables is the … Read more

My dqrng package has some quite old issues, one is “More distribution functions” where I brought forward the idea to support additional distribution functions within dqrng, which currently only supports … Read more

Rite-Aid closed 60+ stores in 2021. They said they’d nuke over 1,000 of them over three years, back in 2022. And, they’re now about to close ~500 due to bankruptcy. … Read more

So this tweet came across my feed. To save you going there it is about a selection exercise for a job for (I think) an IT start up, described proudly … Read more

Linear regression is a fundamental statistical technique used to model the relationship between a dependent variable and one or more independent variables. While fitting a linear model is relatively straightforward … Read more

Dear rOpenSci friends, it’s time for our monthly news roundup! You can read this post on our blog. Now let’s dive into the activity at and around rOpenSci! rOpenSci HQ … Read more

If you like mountains, R and T-shirts, I got you covered. Here we use {elevatr} to get a DEM around some well known summits and make a map consisting only … Read more

Election polls play a crucial role in predicting the outcome of elections and shaping public opinion. However, it’s important to understand that the results of any single poll should be … Read more

(Photo by Erik Cats) Yet another Blood Bowl post! If you don’t know about Blood Bowl and/or FUMBBL, See my previous blog posts on Blood Bowl for more background and … Read more

[view raw Rmd] Summary: Prediction on large datasets can be time-consuming, but with enough computing power, this task can be parallelized easily. Some algorithms provide native multithreading like predict() function … Read more

nimbleHMC provides Hamiltonian Monte Carlo samplers for use with NIMBLE, in particular NUTS samplers. NIMBLE’s HMC samplers can be flexibly assigned to a subset of model parameters, allowing users to … Read more

Last week, a stereotypical “French” ceremony opened the 10th Rugby World Cup in Stade de France, in the suburbs of Paris, France. As a small boy growing up in the … Read more

Data visualization is a powerful tool in a data scientist’s toolkit. It not only helps us understand our data but also presents it in a way that is easy to … Read more

Warning: I highly recommend you read this blog post first, which will explain how to run a pipeline inside Nix in detail. This blog post will assume that you’ve read … Read more

LatinR 2023 is being held October 18-23, 2023, in Montevideo, Uruguay. Presentations are held in Spanish, Portuguese, or English. Register now!  LatinR was founded in 2017, Natalia da Silva, Riva … Read more

Another great season of Alone has finished. I’ve now included all data in the {alone} R package. Version 0.3 is now on CRAN, or you can install from Github. It … Read more

Maintaining a package can be a lonesome activity, which sometimes poses a problem if you prefer team work or if you encounter a very thorny-for-you problem. Beside belonging to a … Read more

[This article was first published on R-posts.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? … Read more

On my former blog, I wrote a post about the Cantor expansion of a natural integer. This is a generalization of the well-known binary expansion. For example, the Cantor \((3,4,5)\)-expansion … Read more

A new post of our interview series “Meeting the stars of the R-universe”. We aim to introduce the teams and people behind the development of software and packages many of … Read more

Here are four representations of the Klein j-invariant function: The Klein j-invariant function is a complex function defined on the upper half-plane of the complex numbers. On the above pictures, … Read more

The github branch of my Github repository cgalMeshes has a vignette explaining how to use parameterizations of surface meshes. A parameterization allows to map a texture on a mesh. Some … Read more

[This article was first published on R-posts.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? … Read more

Authors: Ivan Svetunkov, John E. Boylan Journal: International Journal of Production Economics Abstract: Inventory decisions relating to items that are demanded intermittently are particularly challenging. Decisions relating to termination of … Read more

[This article was first published on Louise E. Sinks, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content … Read more

Are you interested in visualizing demographic data in a unique and insightful way? Population pyramids are a fantastic tool for this purpose! They allow you to compare the distribution of … Read more

The visualization of a rgl mesh is rather shiny by default. We’ll see how to make it dull and shadowed. Take for instance the Barth sextic: ## Barth sextic is … Read more

We are pleased to announce the full line-up for this year’s Shiny in Production conference! Don’t miss out on this excellent set of talks and workshops – head over to … Read more

We are pleased to announce that Rhino 1.5 is now available on CRAN! This update brings a range of new features and enhancements that aim to make your R development … Read more

Data visualization is a powerful tool for gaining insights from your data. In R, you have a plethora of libraries and functions at your disposal to create stunning and informative … Read more

To add a custom 404 error page (or basically any error page) we could create it as part of our site and point Nginx to it. However, we can as … Read more

[This article was first published on R – TomazTsql, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content … Read more

Moving away from proprietary languages, Roche has made a notable decision to freeze their legacy macros library. With great enthusiasm, they now embrace R as the primary framework for evidence … Read more

When it comes to analyzing multivariate data, Principal Component Analysis (PCA) is a powerful technique that can help us uncover hidden patterns, reduce dimensionality, and gain valuable insights. One of … Read more

I really like developing software and making my own life and work easier with it. But what I enjoy even more is to see others actually use it! So every … Read more

[This article was first published on coding-the-past, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? … Read more

[This article was first published on R Consortium, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on … Read more

Weather and climate are words often used interchangeably in casual conversations. But when a chilly summer breeze sweeps through in July, or when unexpected rains dampen our winter holidays, the … Read more

[This article was first published on business-science.io, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? … Read more