R News from another blog for R community
Labelling data is typically a task for end-users and is applied in own scripts or functions rather than in packages. However, sometimes it can be useful for both end-users and...continue reading.
From https://twitter.com/sharon000/status/1107771331012108288: From https://tidyr.tidyverse.org/dev/articles/pivot.html: There are two important new features inspired by other R packages that have been advancing of reshaping in R: The reshaping operation can be specified with...continue reading.
The fine folks over at @PacketTotal bequeathed an API token on me so I cranked out an R package for it to enable more dynamic investigations work (RStudio makes for...continue reading.
Andrew Mangano is the Director of eCommerce Analytics at Albertsons Companies. Part I – Modelling The reticulate package integrates Python within R and, when used with RStudio 1.2, brings the...continue reading.
Hello and welcome to this new issue! Highlight R 3.5.3 now available 2019 Update One: R Consortium and ISC Announce the Newest Funded Projects for the R Community #chirunconf Insights...continue reading.
W najbliższy czwartek o godzinie 18:00 startujemy z 38. spotkaniem Entuzjastów R. Aż trudno uwierzyć, że minęło już 5 lat od naszego pierwszego spotkania w ICMie. Przez te 5 lat...continue reading.
Initial data acquisition and data analysis In order to get an idea of what our data looks like, we need to look at it! The Jupyter Notebook, embedded below, will...continue reading.
We at STATWORX use mostly R or Python for our projects. But why not both? With the help of the reticulate package we can use Python within R. Here we...continue reading.
With much excitement built over the past three years, we are thrilled to share that sparklyr 1.0 is now available on CRAN! The sparklyr package provides an R interface to...continue reading.
“EARL is a great Conference: it gives the opportunity of connecting with other companies that are using R for data analysis and getting inspired by their stories.” We have been...continue reading.
In the previous post I tried to explain what Content Security Policies (CSPs) are and how to work with them in R. In case you didn’t RTFPost the TLDR is...continue reading.