Athlete Monitoring: Data Analysis and Visualization – Hello World in R

Athlete Monitoring: Data Analysis and Visualization

Hello World in R

As the tradition demands, when learning a new programming language, one needs to create the Hello World program. In this version of the Hello World, I am explaining the atomic vectors classes in R, as well some of the specific of the language (such as vectorized variables, vectors recycling and so forth). I am also explaining how to load an external CVS file (which can also work for the CSV file on the web, using URL – i.e., we can use this to sync the data from the AthleteSR).

I will fool you not – learning R is tricky, especially if you never used to code. But it is important to learn it as a programming language, rather than a script to do statistical analysis or plotting. As a sports scientist, knowing at least one programming language (e.g., R, Python, Matlab, C) can be very powerful, since it allows you to expand and deploy your knowledge.

If you want to learn more about R, I highly recommend checking these resources:

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I am a physical preparation coach from Belgrade, Serbia, grew up in Pula, Croatia (which I consider my home town). I was involved in physical preparation of professional, amateur and recreational athletes of various ages in sports such as basketball, soccer, volleyball, martial arts and tennis. Read More »
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