Reproduced with the kind permission of Nathan Eastwood and was first published on his personal blog https://nathaneastwood.github.io/ The magrittr pipe (%>%) has revolutionised the way many people now write R code. I’ve been using R for over 7 years and the pipe has become a staple of my programming conventions. However it was recently brought […]
Author: Mango
How long do I have to survive without cake?
Clara Schartner As part of my summer internship at Mango I got to help out creating training materials. Learning new methods by preparing them in a teachable way is definitely my new favourite way of learning! But once I started preparing training material for Survival Analysis I faced an issue: whilst Survival Analysis is used […]
Early Bird Tickets for EARL R Conference London 2016
We are pleased to announce that early bird tickets for the EARL (Effective Application of the R Language) Conference have been released and are now available to purchase. The conference will be held on the 13th-15th September 2016 at the Tower Hotel in London. The Full Conference Pass includes: 2 pre-conference workshops (13thSeptember) both full conference […]
BaselR User Group – 13th April 2016
Click to join our mailing list and receive automatic updates on all future BaselR events. Be a speaker Volunteering to speak at a BaselR event is a great way to share your ideas and experiences with other group members and also looks good on a CV. The events are friendly and welcoming and we’d be […]
FQDN (Fully Qualified Domain Names) in R
By Steph Locke This is just a quick post, to mention how you can get your computer name with the domain it is registered in i.e.  the fully qualified domain name (FQDN) by using R. Base R In Windows to get the computer name in it’s fully qualified form you need to do: paste(Sys.getenv(“COMPUTERNAME”), Sys.getenv(“USERDNSDOMAIN”), […]
Integrating Python and R Part III: An Extended Example
By Chris Musselle This is the third post in a three part series where I have explored the options available for including both R and Python in a data analysis pipeline. See post one for some reasons on why you may wish to do this, and details of a general strategy involving flat files. Post […]
How I Use Vagrant and Docker in Consultancy Projects
By Doug Ashton – Data Scientist, UK Just like you I like to try out all the latest tech. If there’s a new feature in Shiny then I’ll download the latest version without thinking. I’ve currently got 4 versions of R on my laptop, 270 packages, 2 versions of Java, and a number of other […]
Work Smarter and Not Harder
by Brian Mitchell, Mango Solutions Here at Mango we take testing very seriously and as the automated tester in the company I take it more seriously than most. Automated testing does exactly what it says on the tin, it allows you to automate a number of test scenarios. We use specialised software to simulate mouse […]
Integrating Python and R Part II – Executing R from Python and Vice Versa
By Chris Musselle In a previous article we went over why you might want to integrate both R and Python into a single pipeline, and how to do so via the use of a flat file air-gap. In doing so we covered how to run a Python or R script from the command line, and […]
Integrating Python and R into a Data Analysis Pipeline – Part 1
By Chris Musselle and Kate Ross-Smith For a conference in the R language, EARL London 2015 saw a surprising number of discussions about Python. I like to think that at least some of this was to do with the fact that the day before the conference, we ran a 3-hour workshop outlining various strategies […]