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Anyone here work with R?

I've been spending most of the last month getting to grips with R language & statistical modelling (making a leap from session musicianship/musical analysis into data science!). Anyone else used this language? First programming language that I've worked with and the stats blew my mind for a while, but I'm getting more comfortable with both sides of the coin now and enjoying it all considerably!

I've never heard R mentioned here (or at least, it went over my head at the time) so curious whether anyone else here is involved with it.

PS. I've loaded every library I can find for working with audio or MIDI into R and yes, I'm planning some ridiculous music theory shenanigans!

Comments

  • The user and all related content has been deleted.
  • I haven't, but I'm interested. I've been collecting resources for a while, ebooks, online courses, websites, etc., but I've not dug in.

    Do you have any good advice for getting up to speed?

  • edited October 2017

    @telecharge said:
    I haven't, but I'm interested. I've been collecting resources for a while, ebooks, online courses, websites, etc., but I've not dug in.

    Do you have any good advice for getting up to speed?

    Just work through a few YouTube videos and get stuck in. Learn some more advanced stuff that just looks cool to you and dig around on StackOverflow to solve problems you run into. You can do a lot with the basics and it’s fun and versatile from the start. How far you take it depends on how much you want to do with it - it’s not so much like other programming languages where you’re creating a pre-decided finished product. Just jump in and swim around a bit.

    That’s just based on my experiences so far with it (I’m a month in!) and what I’ve learned through conversation and reading/listening around in the field.

    Two podcasts I’ve been listening to a lot are ‘The R Podcast’ and ‘Not So Standard Deviations’. Both informative and insightful!

  • edited October 2017

    I use R a little. My day job is largely modelling and analysis, but nothing too hardcore on the stats side. More about parallel processing and large datasets. I get by with Python for creating spatial data, automating processing and loading/querying data.

    All our bright young science graduates prefer working in R, so I’ve been dabbling. It’s very capable, but I’m not sure my brain can hold two languages at the same time.

    Thanks for the podcast suggestions.

  • I used it some at my last job but only to accomplish a few specific things I couldn't sort out how to do otherwise. For the most part, I got by with Python.

  • edited October 2017

    This was an ok’ish read, but..

    ”I grab one of my many statistics book .. Next thing I know, I’m getting the cold shoulder or told I’m an idiot.”

    I think I’m going to take a note of this guy’s name and face to make sure that in the very small chance I’d be in the same place at the same time as him, that I can exit as fast as possible.

  • @OscarSouth said:

    This was ok ok’ish read, but..

    ”I grab one of my many statistics book .. Next thing I know, I’m getting the cold shoulder or told I’m an idiot.”

    I think I’m going to take a note of this guy’s name and face to make sure that in the very small chance I’d be in the same place at the same time as him, that I can exit as fast as possible.

    Ah, he’s actually quite a good person to have around on this world. He’s the one behind this:
    http://programming-motherfucker.com
    And he’s also been allowed to speak in front of people occasionally, before they realise who they’ve booked:


    I used to follow him on twitter but got rid of him from my list. Can’t remember why. Not just him, most of the people on my list, all in one go. He was mostly about the painting at that time, previously, making and playing guitar. I like him. Well, I like that he’s there.

  • edited October 2017

    Widespread use in my line of work (academic). Many folks like it because of its elegance and deep functionality. Students like it because it's free.

  • I enjoy his rantings too. Don't always agree but he's fun to read.

  • the dude hits the nail way more often than he misses o:)

  • @syrupcore said:
    I enjoy his rantings too. Don't always agree but he's fun to read.

    That’s what I took away from the article above too.

  • Very entertaining. Some great cross platform/universal truths in there.

  • @OscarSouth said:

    I think I’m going to take a note of this guy’s name and face to make sure that in the very small chance I’d be in the same place at the same time as him, that I can exit as fast as possible.

    He's a nice guy in person. In a way he's the inverse of most programmers. Super-tolerant of non-programmers, super intolerant of professionals.

    You could boil most of his rants down to three things:
    1. Don't argue from a position of ignorance (and do something about your ignorance).
    2. There is no silver bullet.
    3. Stop being sheep.

    Which if you've worked long enough in the software industry is perfectly understandable. Programmers are particularly prone to stupid fads (Agile), believing there is a single solution to all problems (Object Orientation, Functional, dynamic/static typing) and making arguments in total confidence from a position of total ignorance (every argument ever on which programming language is best).

    I have no idea why the software industry is quite this bad. Whenever I compare us to engineers it's embarrassing.

    R is kind of cool, but in practice I tend to use Python instead just because it's what I'm used to.

  • well said :+1:
    for curiosity I installed the R-Studio package as the more complex list stuff looks interesting. At least to compare to implementations I've used before.

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