tidyverse 2.0.0
We’re tickled pink to announce the release of tidyverse 2.0.0. The tidyverse is a set of packages that work in harmony because they share common data representations and API design....continue reading.
We’re tickled pink to announce the release of tidyverse 2.0.0. The tidyverse is a set of packages that work in harmony because they share common data representations and API design....continue reading.
Data scientists, statisticians, analysts, researchers, and many other professionals write a lot of code. Not only do they write a lot of code, but they must also read and review...continue reading.
It was my great pleasure to present last week to the NYC Data Hackers on the topic of Copilot for R. If you haven’t come across Copilot before, it’s like...continue reading.
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Kelly Bodwin and Emily Robinson, with help from...continue reading.
Nothing short of wacky usage of plot() function with xspline to interpolate the points, but still a “parameter” short of Bezier’s curve. 🙂 Given two random vectors, you can generate...continue reading.
Recently, I wrote a blog post stating that I’m starting to use Python for most of my data science work. And I’m starting to recommend Python as the data science...continue reading.
Recently, I wrote a blog post stating that I’m starting to use Python for most of my data science work. And I’m starting to recommend Python as the data science...continue reading.
I’ve been working on an ebook (that you can read over here) made using Quarto. Since I’m also selling a DRM-free Epub and PDF on Leanpub I wanted to share...continue reading.
One hundred sixty-five new packages made it to CRAN in January. Here are my “Top 40” selections in thirteen categories: Actuarial Statistics, Archaeology, Computational Methods, Ecology, Genomics, Mathematics, Medicine, Machine...continue reading.
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Colin Fay, with help from the R Weekly...continue reading.
Faceting1 is probably the most distinctive feature that defined the early success and wide adoption of ggplot2. Small-multiples are often a great dataviz choice.2 But one common problem is when...continue reading.
Building reproducible analytical pipelines with R Build reproducible analytical pipelines that will output consistent, high-quality analyses using the R programming language, Git, Github and Docker. Learn about functional and literate...continue reading.
My name is Bruno Rodrigues and hold a PhD in Economics from the University of Strasbourg. I’m currently employed as a statistician for the Ministry of Higher Education and Research...continue reading.
We’re thrilled to announce the release of dtplyr 1.3.0. dtplyr gives you the speed of data.table with the syntax of dplyr; you write dplyr (and tidyr) code and dtplyr translates...continue reading.
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Eric Nantz, with help from the R Weekly...continue reading.
There are multiple data science languages to choose from. The most popular being R and Python. Many people will tell you to learn both. Learn R AND Python. I think...continue reading.
Hot of the pre-print press! 🔥 Our latest work #spatialDLPFC pairs #snRNAseq and #Visium spatial transcriptomic data in the human #DLPFC building a neuroanatomical atlas of this critical brain region...continue reading.
Exploratory Factor Analysis (EFA) identifies a number of latent factors that explain correlations between observed variables. A key issue in the application of EFA is the selection of an adequate...continue reading.
Data visualization is important for communicating results. Selecting the right graphical representation of your data can enhance your data storytelling. In this article, I’ll show you how to implement drill-down...continue reading.
The standard procedure to create a Shiny app is straightforward. It involves a single app.R with a ui.R and server.R. But this simplicity also makes it difficult to build production-grade...continue reading.