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RSVP v2.0 List Signup

Due to policies usually in effect at the locations NYLUG has meetings at, all persons attending meetings are requested to be on an RSVP list. 

Please note the following changes since October 2004:
We are now additionally required to present a specific list of attendees not to exceed the room capacity as determined by the fire code.

As a result, until further notice, please observe the following procedure:

  • Create an account with our RSVP system (this only needs to be done once).
    OR Log in if already have an account.
  • You must RSVP after the start of registration and usually prior to 4:30 PM, the day of the meeting.
  • Because attendance is capped by the fire code, please cancel your reserved spot if you find you cannot attend the meeting. This is the reason for the registration system, so that you can cancel your spot and allow the next person in line to attend. We need a valid e-mail address to confirm your account and to notify you if a meeting is cancelled or a spot opens up for you if you're on the waiting list.

Please note:

Only your name will be submitted to our meeting location (for the sole purpose of gaining entry to their offices). The additional information you provide for the purpose of using this RSVP system will not be shared with other parties.

Any problems ? Please email us: info@nylug.org

Upcoming meetings:
Status: Registering
Date & Time: Thursday, February 9th 2012 at 6:30PM
Location: Google, 75 9th Ave. 2nd Floor.
RSVP ends: Thursday, February 9th 2012 at 4:30PM
Speaker: Jay Emerson on A Serious Talk About Having Fun and Being Productive with the R Language
Topic: This talk will provide a quick but intense introduction to the R Language: a free software environment for statistical computing and graphics. It is open-source (mostly GPL-2), available for several platforms, and thrives in Linux. The talk will be largely example-driven, with plenty of takeaway material and code examples. I'll argue that it's simply the right language for data exploration and statistical analysis, and is particularly fantastic for graphics and code development. I'll conclude by introducing the package management system (and the Comprehensive R Archive Network -- CRAN) and the C/C++ interface.


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