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Author Topic: Analyzing Race Data in R 5 replies
David Gerth
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Old post #1 posted Feb 9th 2019, 01:09:11 Quote 
Does anyone analyze their data in R? I've been learning how to program, thought it would be cool to do some analysis in gpro
Andre Verhoek
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Old post #2 posted Feb 9th 2019, 01:19:13 Quote 
I use R mainly to run analyses on the driver market. Haven't found the time yet to do that for the other parts as well
David Gerth
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Old post #3 posted Feb 9th 2019, 01:20:20 Quote 
Quote ( Andre Verhoek @ February 9th 2019,01:19:13 )

I use R mainly to run analyses on the driver market. Haven't found the time yet to do that for the other parts as well

That is kind of what I had in mind as well.
Matthias Scharrer
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Old post #4 posted Feb 9th 2019, 07:21:11 Quote 
I do. Transforming the data is the most tedious part. After that, analysis and diagnosis works like a charm.
David Gerth
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Old post #5 posted Feb 9th 2019, 22:53:59 Quote 
Quote ( Matthias Scharrer @ February 9th 2019,07:21:11 )

I do. Transforming the data is the most tedious part. After that, analysis and diagnosis works like a charm.

If you don't mind me asking, what operations do you perform. Linear regressions or something more advanced?
Matthias Scharrer
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Old post #6 posted Feb 10th 2019, 07:53:23 Quote 
That depends on the underlying problem.
My way of doing inference is starting out with scatterplots or another visualization I see fit.
Then I prefer to do linear regression of relevant factors if possible, as non-linear methods are not so advanced in terms of run-time, diagnosis and interpretation.
And you need a strong indication about the underlying model.
So far, in most cases I am doing quite well, I think, but after some fiddling I find that R is also useful with handling non-linear fitting and sampling methods.
I use that as a last resort in a few use-cases.
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