Holidays & next year

It’s been a bit busy – sorry for the few months of silence. We’ll be taking a break until mid-January, then we’ve got a great line up of people to talk to us about R in 2016. Yay! R!

Last year was great, if you have visitors or anyone else that would like to give a talk next year please just drop me an email.

Also, I still tweet useful things on the twitter account. Follow @CapeRUser

Summary Cape R User Group meeting v 0.4

Jasper gave a great session outlining some of the tools that can be used to deal with spatial data in R – I learned a lot – like R can pretty much do everything and it’s very straight forward. Plus nice pictures + learn to parallelise your code if you are working with big/high resolution data.

The very last @RevolutionR t-shirts were given away (hint hint: we need more!) and for the first time we did a dual live broadcast (to the UK somewhere and via Google on Air) which means you can watch the entire thing here and you can access the talk materials on Rpubs here.   Jasper also got some great feedback on twitter, 

Stay tuned for next talk, I’m hoping to get one more meeting in before the end of the year, probably Stellenbosch side.

Cape R User Group Meeting v 0.4 

Title: A Primer for Spatial Data Analysis in R
Date: September 10, 2015
Time: 17:00 for 17:15
Location: UCT Club, Upper Campus
RSVP: here (last t-shirts from Revolution up for grabs)

Presenter: Jasper Slingsby

Fynbos Node, South African Environmental Observation Network
South Africa, Centre for Statistics in Ecology, Environment and Conservation
http://www.saeon.ac.za; http://www.saeon-fynbos.org

Abstract: Points, lines, polygons and rasters – R can handle them all. My aim for this session is to give you the basics required to teach yourself spatial data analysis in R. I’ll start by briefly covering CRAN Task Views and how to install them (using the ’Spatial’ task view as an example), followed by some pointers for useful DIY resources, and then work through a practical example exploring fire history layers (polygon), topographic (raster) and locality (point) data using the libraries ’rgdal’, ’raster’ and ’sp’. The example will cover setting and changing projections and extents, raster calculations, rasterizing polygons and extracting data with a few neat tricks along the way. Depending on how much time that takes (and how my week pans out) I may touch on spatial interpolation, parallelising your code, and creating cool animations :) If there’s anything you’d like to see covered, email me (jasper at saeon dot ac dot za) and I’ll see if I can include it (but note that I am not a helpdesk…).

Summary CapeRUG v 0.3

Great talk by Robert on building flexible, pretty, graphics in R using the ggplot2 package. We had a nice turnout (I forgot to count…) and the slides are available now in the Cape R repo – join the mailing list if you want access to this.

[I also forgot to take pictures…]

Our next speaker will be Jasper Slingsby from SANBI who is going to talk about “something spatial” but I know he’s been working with lots of geographic & environmental data and complicated Bayesian models so we can ask him hard questions. This talk will take place in September at UCT.

Thanks for coming out, see you next time!

CapeR User Group meeting v 0.3

This will be a great talk, come support the CapeR group, drink a beer (or soda), and enter the draw for prizes from our sponsor RevolutionAnalytics. RSVP here.

Date/Time: July 30, 2015  17:00 for 17:15

Location: Most likely at the UCT Club, Upper Campus, UCT

Speaker: Robert Schlegel, UWC

Title:
Beautiful R: Creating the next generation of figures with ggplot2

Abstract:
Are you tired of using excel to create the figures for your publications/ thesis? No longer satisfied with that old map of SA you’ve been using for the last two years? Does your workflow involve more than one program? This evening we will see how to very easily remedy all three of these problems using “R” and the package “ggplot2”. With the use of this one central package, and a few others to manipulate our data for plotting, it is possible to remove all other graphical and statistical programs from your scientific workflow. Besides saving one’s time, the code used to produce the figures in this manner is easy to read and manipulate, allowing one to have an amazing combination of both reproducibility in research and control in the graphical output. By the end of this talk an “R” user will have a clear understanding of how one goes about using “ggplot2” to create anything from boxplots to maps of South Africa or the world.

ps. if we can consistently get 30+ attendees, Revolution will give us better prizes and more money…bring your friends.

Summary Cape R User Group meeting v 0.2

We had such a great talk by Prof AJ Smit from the University of the Western Cape last week, dodging graduation, load shedding and a last minute realisation that one of us had the wrong date. The talk was so interesting I didn’t even take pictures. Basically Prof Smit gave us a run down of the process and workflow that his lab uses to work with (a lot) of data – they have more than 40 years of fine scale (both temporal and spatial) coastal ocean temperature data that they work with. They also make fantastic visualisations in R (stolen screenshot of webpage).

Selection_003

The lab uses a combination of version control (git in this case), R, and LaTex for reproducible analysis. Apparently there is a package on the way…. It’s very exciting to see the principals of open, reproducible research and great visualisation getting implemented – plus the data is cool.

Lab details can be found here: http://kelpsandthings.org/smit_lab/ and thanks to Prof Smit for the talk and to sponsor Revolution Analytics for the t-shirts. We all <3 R.

CapeR User Group meeting v 0.2

Very happy to announce the next CapeR User group meeting happening on June 11, 2015. Prof. AJ Smit (UWC) will be giving us a great talk about the The South African Coastal Temperature Network: A Workflow in R.

Abstract: I will discuss the ingestion of large datasets, data manipulation into a standard internal format, numerical and statistical processing, and visualisation. Rather than focusing on specifics relevant to individual packages, I will structure the talk around the broad capabilities of R and several key packages, particularly those of Hadley Wickham. Along the way I will also introduce Github and some other nifty things. Effectively I am using R to do the types of processing for which oceanographers historically used Matlab and Python.
I’m sure this will be of interest not only to R / OpenScience enthusiasts but especially to oceanographers and people in related fields, please spread the word! RSVP for entry into draw for a prize from our sponsor Revolutions Analytics. 
Details:
Date and time: June 11, 2015, 17h00 for 17h15
Place: UCT Club, Upper Campus Sports Centre, UCT

Directions:     http://www.uctclub.uct.ac.za/index.php?pid=46

Speaker: 
Prof. AJ Smit
Department for Biodiversity & Conservation Biology
University of the Western Cape
Web: http://kelpsandthings.org/smit_lab

Summary CapeR User Group meeting v 0.1

I think we can call the first CapeR User group meeting a great success!! Around 35-40 people came out to meet, listen to some speakers (I might have been one of them) and socialise. Most of all I really appreciate the fact that multiple people volunteered to give talks at later meetings!

Hands up - who uses R regularly?

The first speaker was Jean-Baka Domelevo Entfellner, a postdoctoral research fellow at the South African National Bioinformatics Institute (SANBI) and currently working on the H3Africa funded project H3ABionet. He gave a nice demo of the R package rworldmap.

Hands up - who uses R regularly?

The second speaker was Maia Lesosky, Senior Lecturer at the University of Cape Town, who gave a bit of an overview on the reasons to use R (hint: awesome, reproducible, transparency) and especially the impact the Hadleyverse has had on R programming.

Slides are/will be made available in a repository, link is available on the mailing list for now (details still being sorted out). Thanks to our sponsors Revolution Analytics for the prizes and free drinks!

Intro to R (and Statistics) course at UCT FHS

There is a short course (3 weeks) teaching R and some basic statistics that has a few spots available for UCT members (sorry if you are not UCT). The course will cover everything from the very basic to running statistical models. Suitable for honours or masters students getting started in statistics/bioinformatics or a related field.  Dates are May 11 – May 29 and it will run on Health Sciences Campus. There is no charge. Please contact Maia (maia dot lesosky at uct.ac.za) for details/to apply.

Update: Launch of Cape R User Group on 23 April

The Cape R User Group was established in 2014 and started its first Hacky  Hour events in February 2015.

We would like to invite you to an informal networking event to celebrate the establishment of the group and to meet the R community in Cape Town.  Everyone is welcome – no need for prior experience in R.  The event is open to anyone in academia (all institutes) and industry.

When:      23 April 2015

Time:        17:00 – 19:00

Where:     University of Cape Town Club (aka “The Lab”)- Restaurant, Upper Campus Sports Centre, Rondebosch

RSVP:       http://goo.gl/8JbgHF

What:        Short demos of useful R packages in research followed by networking

Directions:     http://www.uctclub.uct.ac.za/index.php?pid=46

Presenters:    Dr Jean-Baka Domelevo Entfellner (SANBI, UWC)  & Dr Maia Lesosky (Department of Medicine, UCT)

Jean-Baka will be demonstrating the use of RWorldMaps to plot maps of Africa where he is  showing data concerning various aspects of the teaching, training and scientific research activity within a network of bioinformatics teams spread across the continent (http://www.h3abionet.org).

Maia will take us on a quick tour through the Hadley-verse – a summary of R packages from Hadley Wickham, chief Scientist at RStudio who has developed incredibly useful packages for data manipulation and visualisation.

The evening (free drinks and R swag as spot prizes) is sponsored by Revolution Analytics.

See you there!