One of the great things about R, is the myriad of packages. Packages are typically installed via CRAN Bioconductor GitHub But how often do we think about what we are installing? Do we pay attention or just install when something looks neat? Do we think about security or just take it that everything is secure?

When discussing how to speed up slow R code, my first question is what is your computer spec? It's always surprised me that people are wondering why analysing big data is slow, yet they are using a five-year-old cheap laptop. Spending a few thousand pounds would often make their problems disappear. To quantify the impact

Jumping Rivers is a data science company based in Newcastle. We are not sector based and our clients range through all industries. We are looking for individuals who enjoy a challenge. Main Duties Technical Duties: Provide technical training Development of bespoke statistical algorithms. Building web applications using R and Shiny. Data analysis using R and/or

We are pleased to announce the very first Satrday event in Newcastle upon Tyne (and England). satRdays Newcastle is a one-day, low-cost, community organised R conference in the heart of Newcastle City Centre. Where? The event will be held at Newcastle University. Getting to Newcastle is really easy Train: 90 minutes from Edinburgh or 3

R conference Costs Last year we gave you a price break down of some of the most popular R conferences around the globe for 2017. We’re going to do it again for 2018. Remember, you can get up-to-date information on upcoming conferences via our GitHub page. It’s important to note that these costs are the

Introduction Domain squatting or URL hijacking is a straightforward attack that requires little skill. An attacker registers a domain that is similar to the target domain and hopes that a user accidentally visits the site. For example, if the domain is example.com, then a typo-squatter would register similar domains such as common misspelling: examples.com misspellings

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

I love R and I love Shiny. One of the things I really like about shiny is the ease with which you can incorporate other Javascript based tools and libraries. By my own admission, my JavaScript skills are definitely lacking but there are so many cool libraries out there which can really make visualisation and

Last week I spent some time reminiscing about my PhD and looking through some old R code. This trip down memory lane led to some of my old R scripts that amazingly still run. My R scripts were fairly simple and just created a few graphs. However now that I’ve been programming in R for