Getting correct data on covid-19 cases is important to obtain up-to-date information on how the disease is progressing. It's also necessary create models and make accurate forecasts.  However, I'm starting to think most of the charts we see for covid cases over time are incorrect. The reason is these datasets ...

Read this to find out about a maths game for home schooling, including some probability in R!

My brother wrote to me this week with an interesting task: I’ve got a list of films I’ve noted down whenever I’ve seen a good review. But it’s hundreds long and I can never remember what a film is from its title and can’t be ...

When I am doing a Machine Learning project with R it is crucial to save those precious seconds, minutes, hours in model training. To make sure you optimise your CPU and crank up the performance you will need to load in the parallel and doParallel libraries, alongside library(caret). A ...

Some folks at work expressed an interest in how to get started learning R. There are lots of resources out there, but I thought I’d share with you what I shared with them as a pathway that I followed that’s working out well for me. You don’t ...

People using R for analysis or data science might have heard that the R community is really active on Twitter, but feel a bit lost when trying to figure out how to use Twitter. Like most social media apps, there’s a bit of a learning curve to get going. ...

A new version of sparklyr is now available on CRAN! In this sparklyr 1.2 release, the following new improvements have emerged into spotlight: A registerDoSpark() method to create a foreach parallel backend powered by Spark that enables hundreds of exi...

A lot has been happening in the tidymodels ecosystem lately! There are many possible projects we on the tidymodels team could focus on next; we are interested in gathering community feedback to inform our priorities. If you are interested in sharing your opinion on next steps in tidymodels development, please ...

This is a followup post to the Shiny CRUD blog post. The Shiny CRUD blog post covers how to build a Shiny app that is capable of Creating, Reading, Updating, and Deleting records from a database. This post describes an auditable alternative to CRUD. Auditable data storage requires that you ...

The R Consortium helps provide all sorts of resources to projects, companies, and events to help build R infrastructure and expand the R community. We have given out grants over... The post Helping R Community Events Go Virtual appeared first on R Consortium.

Usually you want to store vectors and other objects into variables so you can work with them more easily. Variables are like a box with a name. You can then refer to the name to see what is stored inside. Learn how to create a variable Use variables to store ...

There’s an old saying (at least old in data scientist years) that goes, “90% of data science is data wrangling.” This rings particularly true for data science leaders, who watch their data scientists spend days painstakingly picking a...

Introduction Data preparation ARIMA model RNN model Reshape the time series Model architecture Model training Prediction results comparison Conclusion Further reading Introduction The classical methods for predicting univariate time series are ARIMA models (under linearity assumption and provided that the non stationarity is of type DS) that use the autocorrelation ...

[1] If your still hand-crafting your R documentation files, then you face a time consuming activity. Trying to foresee time needed to get a documentation to an expected quality level stays a real challenge. The generic process to create an R docum...