Dr. Lina Carmona was one of the speakers in the AWS Europe 2020 conference . She presented her urology training and research journeys to attendees in a talk entitled ``Thinking Outside the Box: When Geography meets Surgery``.
Dr Carmona is the first author of ``A critical evaluation of visual proportion of Gleason 4 and maximum cancer core length quantified by histopathologists``, an article which is enriched by figures done using R and the Simpsons pack colour scheme.
The switch from surgery to pathology research did not come without further learning and new toolkits. She emphasizes it on her talk and many many medical students were interested in learning more about coding and how can one get started on it.
Below you can find a short guide written by her on how to get started!
Free R websites:
Very basic but a good place to start: https://www.learn-r.org/r-tutorial/vector.php
This one is also free, but works like a tutorial: https://swirlstats.com/students.html
Training courses (subscription):
https://www.codecademy.com/learn/learn-r/modules/learn-r-introduction
https://www.datacamp.com (some of these start as free and then ask you to pay )
When you get errors copy and paste the error on google and usually someone will have had a similar error and how to correct. Use stackoverflow, it can be a bit difficult to understand at first but with time you start to 'speak' the language. (https://stackoverflow.com/).
Finally, my favourite websites I use for data visualization:
This is the one I use the most, it has clear tutorials with code to replicate, and clear explanations using freely available datasets. I learnt a lot of statistics by playing with data and following the explanations: http://www.sthda.com/english/wiki/what-is-r-and-why-learning-r-programming
This website has beautiful graphs with code to replicate: https://www.data-to-viz.com/
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