dtplyr 1.3.0
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.
Category: R News
R Weekly 2023-W08 rtweet future, statistical correctness, Shiny maze
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.
Why You Should Learn ONE Data Science Language
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.
Integrated single cell and unsupervised spatial transcriptomic analysis defines molecular anatomy of the human dorsolateral prefrontal cortex
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.
Selecting the Number of Factors in Exploratory Factor Analysis via out-of-sample Prediction Errors
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.
How to Create a Drill-Down Bar Chart in Shiny with echarts4r
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.
Rhino R Package Tutorial: Build Your First Rhino App
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.
R Weekly 2023-W07 Maintain, Resample, Manipulate
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Jonathan Carroll, with help from the RWeekly team...continue reading.
Resampling to understand gender in #TidyTuesday art history data
Artists who are women are underrepresented in art history textbooks, and we can use resampling to robustly understand more about this imbalance.continue reading.
go forth and X [or the reverse]
The New Year Riddle is about optimisation: starting with a single machine, between delivering one unit per machine – hour and delivering one new machine per machine every six days,...continue reading.
How to use Python’s f-strings with pandas
Learn how to use Python’s f-strings for substitution and formatting, and then combine those features to solve a real-world pandas problem!continue reading.
dplyr 1.1.0: `pick()`, `reframe()`, and `arrange()`
In this final dplyr 1.1.0 post, we’ll take a look at two new verbs, pick() and reframe(), along with some changes to arrange() that improve both reproducibility and performance. If...continue reading.
R Weekly 2023-W06 Map learnings, old R, dplyr joins
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Tony ElHabr, with help from the R Weekly...continue reading.
Extending R with C++ and Fortran
A recent social-media question by James Curran inquired about the best, or recommended ways, to extend R with Fortran code. Part of the question was whether the .Fortran() interface was...continue reading.
Why Python is the Best Data Science Language (in 2023)
The first question that aspiring data scientists ask me is “what is the best data science language … which should I learn.” And almost always, this is framed as a...continue reading.
dplyr 1.1.0: The power of vctrs
Today’s dplyr 1.1.0 post is focused on various updates to vector functions, like case_when() and between(). If you missed our previous posts, you can also see the other blog posts...continue reading.
R Shiny Shipping Logistics: How Shiny Provides Value to Your Business
R Shiny is a go-to technology when making apps and dashboards for companies using the R programming language. Shiny helps solve problems in complex business areas with large datasets, such...continue reading.
dplyr 1.1.0: Per-operation grouping
Today we are going to look at one of the major new features in dplyr 1.1.0, per-operation grouping with .by/by. Per-operation grouping is an experimental alternative to group_by() which is...continue reading.
Tips for organising your R code
Keeping your R code organised is not as straightforward as one might think. Just think about the libraries, variables, functions, and many more. All these objects can be defined and...continue reading.
dplyr 1.1.0: Joins
dplyr 1.1.0 is out now! This is a giant release, so we’re splitting the release announcement up into four blog posts which we’ll post over the course of this week....continue reading.
