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Celebrating 20 Years of CRAN and R supporting statistics
Tue 25 April 2017, 15:00 – 17:30 BST
This event marks the 20th anniversary of the Comprehensive R Archive and is run jointly with the RSS Young Statisticians Section. Join us in person or via livestream as our three expert speakers and R users describe innovative and exciting uses of R in a wide variety of contexts.
Data visualisation & statistical modelling in Shiny Charis Chanialidis, University of Glasgow.
Shiny is a package from RStudio that provides a web framework for building web applications. Taking advantage of Shiny, R users can turn statistical analyses into easy to use interactive web applications. Thus, Shiny can be really helpful for engagement with non-statisticians or/and the general public. In this talk, amongst other things, I will show some of the applications I have created throughout the years and talk about some recent developments in Shiny.
Snow is great fun, but it can also bring hazards. In this talk I’ll discuss how snow contributes to flood risk. The second largest recorded flood event on the River Thames was attributable to snow, following the harsh winter of 1947. Snowmelt is frequently part of river flows in colder parts of the UK, invariably these are further north than the Thames and the rivers begin in mountainous terrain. In Scotland the uplands are often used for water storage, e.g. for hydro-power and water supply. Structures, like dams, are used to retain water, but these structures were assessed for exposure to snowmelt risk using a fixed daily melt rate, which I will show can be exceeded. I used R to model the risks of snowmelt to reservoirs in Scotland.
The Comprehensive R Archive Network (CRAN) is 20 years old this year. This talk will discuss the past, present and future of this important R resource.