Before we start anything, I’d like to mention that most of the hard work came from nsaunders and his great blog post Idle thoughts lead to R internals: how to count function arguments. Let’s get started. The aim of this blog is to capture the number of arguments present in each function with packages of
We’re RStudio Trainers! Big news. RStudio recently started certifying trainers in three areas: the tidyverse, Shiny and teaching. To be certified to teach a topic you have to pass the exam for that topic and the teaching exam. Even bigger news. Four of your lovely Jumping Rivers trainers are now certified to teach at least
This blog post has two goals Investigate the bench package for timing R functions Consequently explore the different algorithms in the digest package using bench What is digest? The digest package provides a hash function to summarise R objects. Standard hashes are available, such as md5, crc32, sha-1, and sha-256. The key function in the
At Jumping Rivers we run a lot of R courses. Some of our most popular courses revolve around the tidyverse, in particular, our Introduction to the tidyverse and our more advanced mastering course. We even trained over 200 data scientists NHS – see our case study for more details. As you can imagine, when giving
The Main Competition The Secondary Competition What next? The results of the eRum competition are in! Before we announce the winners we would like to thank everyone who entered. It has been a pleasure to look at all of the ideas on show. The Main Competition The winner of the main competition is Lukasz Janiszewski.