Statistics

The Software Sustainability Institute has received funding from the Scottish Funding Council to deliver two different learning programmes.

By Cyril Pernet, University of Edinburgh

By Mike Jackson, Software Architect.

Clever theory about how to estimate the density or abundance of wildlife is of limited value unless this theory can be readily exploited and applied by biologists and conservationists. Distance sampling is a widely-used methodology for estimating animal density or abundance and the Distance project provides software, Distance, for the design and analysis of distance sampling surveys of wildlife populations. Distance is used by biologists, students, and decision makers to better understand animal populations without the need for these…

Reducing the time between developing good theory, and published papers, and delivering usable code into the hands of investigators.

By Stephen Eglen and Laurent Gatto, Software Sustainability Institute Fellows.

R is a well-established environment for statistical computing.  It is often seen as an alternative to computing environments such as matlab or python. In this post, we give our five reasons for why we chose to use R for research.

1. Plotting

R generates beautiful graphics with minimal effort. Publication-quality plots can be rendered in a wide range of vector- and raster-based formats. Recent extensions to the plotting system allow for complex visualisations to be expressed succintly. See R…

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