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05-02-2016, 10:25 AM | #1 |
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Any Stas/Quants Here? R
I've been teaching myself the basics of R with R.Studio and Swirl, with the goal of eventually being able to apply it to financial modeling.
There don't seem to be many comprehensive guides out there to get a beginner on the right track. Anyone have some tips or resources? |
05-03-2016, 03:02 AM | #2 |
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Wow I've never thought I'd see a post like there here.
But ohh man are you bringing back some bad memories from last semester. I had to teach myself this stuff and it was not a pleasant experience. Certainly doable but it is something that take time to get comfortable at. This site was my best friend. http://www.statmethods.net/index.html Any sort of command I wanted to perform was on there. My advice is to start laser focused on a particular type of project you want to perform on R. I found myself being overloaded with information otherwise.
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05-06-2016, 04:25 PM | #3 | |
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Out of curiosity, why did you have to teach yourself R? |
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05-06-2016, 04:32 PM | #4 | |
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I was running a survey experience and had to do some regression analysis to get if my findings were "statistically significant".
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05-06-2016, 04:34 PM | #5 |
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I'm more of a web developer and less of a statistician but I'm just starting to learn R and a package that a co-worker found that seems really awesome is called Shiny. It works in conjunction with RStudio.
http://shiny.rstudio.com/ I've been using swirlstats to learn R and R.Studio http://swirlstats.com/students.html |
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05-06-2016, 04:55 PM | #6 | ||
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05-12-2016, 02:24 PM | #7 |
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Through my personal experience over the years... I've left R and gone fully to Python/Pandas/SK-Learn/NumPy/SciPy
pretty much does everything I could want.... and if I ever want R, rpy2 does the trick!
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06-09-2016, 10:35 AM | #8 |
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I actually set R on the back burner, and moved into Python, as it seems to serve as a better foundation. Just completed the interactive Python course on codecademy.com, and am about to dive into the quantstart algo trading ebook. Very excited
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