Hello, everyone! Did you have fun at June 25th’s workshop with H2O and Lime? If you were there, we’re sure you did. If you weren’t… here’s a recap, with the explanation, the link to the live event and all the materials too!
Experienced and wannabe speakers; R professionals and enthusiasts; people with good ideas and will to share them: this is who we are looking for. For what? For our Call for Submissions!
A workshop about Machine Learning in R with H2O and LIME, from experts to R lovers. Very few seats available, register soon! The 25th of June at Mikamai.
The R-Lab#6 is ready to go, and on the occasion, we're also discussing the outcomes and contents of the precedent R-Lab, about personalized medicine.
Hello R-users,
On November 20th we had the pleasure to host the 9th MilanoR meeting in Mikamai! Lots of you participated with passion and enthusiasm and we’re so glad of the outcome. Thank you all, from the bottom of our hearts! This time the meeting focused on a thrilling and very useful subject: Data Visualization. This post is thought for you who participated and want to look through the materials again, and for everyone who could not make it.
MilanoR is a free event, open to all R users and enthusiasts or those who wish to learn more about R. The meeting consists of two talks (this time one about big data and and one about statistical learning) + a free buffet and networking time
MilanoR Staff is happy to announce the 9th MilanoR Meeting! The meeting will take place on November 20th, from 7pm to about 9:30 pm, in Mikamai (close to the Pasteur metro station) [save the date, more info soon]. This time we want to focus on a specific topic: data visualization with R. Do you feel you have something to input? Send us your contribution, even in term of a short video if you cannot attend the meeting.
Hello R-users,
On June 29th we had the great pleasure to host the RStudio in Milano at Impact Hub. It went absolutely well with great participation, thank you all!
This post is just to give the materials to those of you who could not make it or just want to go through it again and again!
Great painters can teach us a lot about how to compose a good palet for our plot. That is why we look here at a way to algorithmically derive a colour palette from any jpeg image. Application of derived palettes on ggplot is also showed.
Hello R-Users, we have a great news! We are going to host Nathan Stephens and Joseph Rickert from RStudio and R Consortium: they are coming to Milano just for us (from USA) to meet the MilanoR community and talk about the latest news from RStudio and R Consortium