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March Meetup: Bag of Talks III

We are working on an exciting lineup of mini-talks for our first-ever downtown useR meetup! The confirmed speakers so far:

Farrel Buchinsky -- Introduction to RGoogleDocs

Eric Heistand -- Challenges of bringing R into a corporate environment 

Bill Benter* -- Possible applications of R for predicting horse race outcomes 

TBD -- [possible fourth talk]

Feel free to show up a few minutes before 7pm. We'll mingle over refreshments and begin talks at about 7:15.  Someone will be there to let you in the door. If you have trouble getting in, call[masked]-9277. As a backup, call Zach at[masked]-1382.

*This meetup, including refreshments, is sponsored by Bill Benter. Thanks Bill!

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  • A former member
    A former member

    Hey guys! I wrote an introductory R tutorial that goes over some basic things like data imports, manipulation, and summary statistics. It then goes on to do some examples with ggplot2 and ggmaps, finishing with a basic heat map of some coordinate data. It's certainly not as cool as Mark's dplyr tutorial, but I think it is good for novice/almost intermediate R users. If anyone has any comments on other tools for beginner R users I missed, for example setwd(), I would love to add them in future posts.

    http://www.stevebronder.com/news/?category=R

    Have there been talks about another meetup soon? I recently did some work on Bayesian Hierarchical models I would not mind presenting.

    2 · August 4, 2014

    • Susan B.

      Hi Farrel, On the "really simple" front, could you use one of the Great Circle functions as your distance metric before clustering? I believe they would respect the geographic coordinate system. See http://cran.r-project...­

      August 18, 2014

    • Susan B.

      I was thinking hierarchical clustering, just re-read your comment and saw you mentioned k-means. If you want to stick with k-means, that same package has a geomeans function that deals with angularity and may be of use in k-means.

      August 18, 2014

  • Mark T P.

    I'm sure many of you have already had the chance to explore the dplyr package a bit, but in case you haven't, I created a short tutorial which walks through a short data example: https://www.youtube.com/watch?v=FI_BUJPtCG8

    2 · July 21, 2014

    • Mark T P.

      I haven't used it much, though it's been on to-do list for quite some time. I ended up diving into dplyr first because its syntax is somewhat like the plyr package, which was already somewhat familiar to me. Here's a post with a speed comparison of data.table and dplyr.. both seem lightning fast, but data.table won by a hair, at least in this comparison: http://www.r-statisti...­

      July 21, 2014

    • Farrel B.

      Up until a few years ago I used plyr. I liked its convenience but not its syntax. Then I came across data.table. I was amazed by the speed but was reticent about learning new syntax. The syntax was actually quite easy and fun and the development community is phenomenally responsive. Now that dplyr is faster than plyr I do not know that it is necessary for any one person to be aufait with both data.table and with dplyr.

      July 21, 2014

  • Susan B.

    Saw this on the Revolution Analytics blog and thought of Farrel's talk:

    http://blog.revolutionanalytics.com/2014/06/reading-data-from-the-new-version-of-google-spreadsheets.html

    June 4, 2014

    • Farrel B.

      That method (sans RGoogleDocs) can only read publicly published data. If you want/need to keep the data private then those methods do not work. Please disavow me of any misconceptions that I may harbor.

      July 19, 2014

  • A former member
    A former member

    I recently found the notes for the recent R user meetup in Tokyo that contains some neat presentations. Since we did not have a meeting this month I thought some people may be interested in looking them over for some fun.

    http://www.r-bloggers.com/notes-from-the-tokyo-r-user-group-meeting-17-april-2014/

    1 · April 22, 2014

  • Mark T P.

    After Farrel's presentation, I found a recent post on r-bloggers which references the RGoogleDocs package -- this page also covers the rDrop package for similarly connecting to Dropbox:

    http://www.r-bloggers.com/how-to-upload-files-to-dropbox-and-google-docs-from-r/

    1 · March 24, 2014

  • Farrel B.

    I will be presenting from Prezi. This link should work.
    http://prezi.com/l9rjlk8pxkdr/?utm_campaign=share&utm_medium=copy

    March 20, 2014

  • Keith C.

    If time allows I wouldn't mind demo'ing a shiny app I recently finished. I could take anywhere between 5 and 15 minutes to talk about it.

    2 · March 20, 2014

  • Brian M.

    I will not be able to make it. I will be testing out some predictive NCAA basketball models in Vegas.

    March 10, 2014

    • A former member
      A former member

      Are you working with visual data? Spatial analysis seems to be a pretty big thing in basketball right now.

      http://www.fastcodesi...­

      March 10, 2014

  • Bill B.

    There should be some free street parking along 4th Ave and 3rd Ave for a couple of blocks in either direction. There is garage parking right across the street which I think will cost $5 at that time. See www.parkpgh.org for more garage availabilities

    March 7, 2014

  • Bill B.

    The nearest garage is 3rd Avenue Garage which is right across the street. http://parkpgh.org/lots/38. Night rates apply.

    March 7, 2014

  • TRIDIB D.

    Is there a parking space available ?

    March 6, 2014

  • Farrel B.

    I nominate myself to give a talk on RGoogleDocs. I am not picky about which meeting to talk at. I leave that to the organizers. The package makes it really easy to integrate Google Forms
    frontend into data analysis while always using the most current data available.

    March 6, 2014

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