Reproducible nalysis of UK 'Stats19' data in R
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README.md

bikeR - a repository for studying risk to people on bicycles, using R

Welcome to bikeR, a store of code and example data underlying research into cycling and the associated risks.

The main branch of this work so far has been an analysis of STATS19, resulting in the following paper, now published in the journal Transportation Research Part F: Traffic Psychology and Behaviour [@Lovelaced]:

Of course, an open access version of the pdf is available online, here. The source code used to generate the paper can be found here.

The reasons for putting this research online are:

  • To allow others to perform the analysis conducted by me for West Yorkshire for other parts of Great Britain and perhaps the world, without reinventing the wheel.

  • To help people learn R in general, an open source language for empowering oneself with the tools to extract meaning from data and make visualisations, like this one - see [@lovelace2014introduction]:

To be specific, the code used to produce this map in R can be found here: github.com/Robinlovelace/bikeR/blob/master/stat19/whereWards.R

  • To encourage reproducibility, a conerstone of scientific research [@Ince2012].

References