Visualisation with R and Google Maps

For those of you who are interested in using R alongside Google Maps by using the packages geonames (www.geonames.org), RgoogleMaps, ggmap, loa and plotKML. Enjoy the slides of our presentation on this topic during the last RBelgium meetup.


 

If you are interested in applying Spatial modelling on your data, get in touch: bnosac.be/index.php/contact/mail-us

Using R in Robotics applications with ROS

For those of you who are interested in using R alongside Robotics applications and want to use ROS (Robot Operating System) together with R.
Enjoy the slides of our presentation on this topic during the last RBelgium meetup.

If you are interested in applying real-time analysis of your data streams or sensor data with R and ROS, we can help - get in touch at bnosac.be/index.php/contact/mail-us

R & Google Maps and R & Robotics (ROS)

The next RBelgium meetup will be about R & Google Maps and R & Robotics (ROS).
BNOSAC will be hosting the event this time.

This is the schedule:
• 17h30-18h: open questions
• 18h-19h: R and Google Maps

• 19h-20h: R and Robotics (ROS)



For practical information: http://www.meetup.com/RBelgium/events/220918123

Host a CRAN mirror using Docker

CRAN mirrors are the backbone to everyday common R usage. They provide the R website and most of the R packages today. Currently there are about 104 official CRAN mirrors. Hosting a CRAN mirror is one step to help the R community and is explained here.



To ease that process, at BNOSAC, we have created a Docker image which sets up a CRAN mirror.
That Docker image can be found and is available for download at the following docker registry: https://registry.hub.docker.com/u/bnosac/cran-mirror

For people who don't know Docker, it is basically a tool which allows developers to containerise an application. In this case, the application is to run a CRAN mirror.
How does it work. 3 steps:

1. Install Docker on your computer or server as explained here, if you haven't done this already.
2. Pull the docker image: docker pull bnosac/cran-mirror
3. Run the CRAN mirror: docker run -p 22:22 -p 80:80 -v /home/bnosac/CRAN/:/var/www/html -d bnosac/cran-mirror

That's it! It started synching CRAN on /home/bnosac/CRAN and will synch every day at 02h30 UTC. You can now go to 0.0.0.0 in your browser or find the ip address where it is running and go to that address in your browser to see the R website (see https://registry.hub.docker.com/u/bnosac/cran-mirror for more info).

Now what can you do with it.
- have a local CRAN mirror in your company
- install.packages("data.table", repos = "mylocalmirror")
- serve the community with another mirror if a closeby mirror is not readily available

Machine learning with R & Advanced R programming course

This year, BNOSAC offers 2 R courses in cooperation with the Leuven Statistics Research Center. The courses are part of the Leuven STATistics STATe of the Art Training Initiative and are given in Leuven (Belgium).

For R users and data scientists we offer a 2 short courses on R programming & statistical learning. Namely

* Advanced R programming topics (November 3-4, 2014)
* Statistical Machine Learning with R (November 27-28, 2014):

You can download the brochure with the courses here: http://lstat.kuleuven.be/training/HR_BRO_LSTAT_2014-2015.pdf

Interested? Registration can be done here.

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