Abstract Details
|
Activity Number:
|
13
|
|
Type:
|
Invited
|
|
Date/Time:
|
Sunday, August 4, 2013 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
General Methodology
|
| Abstract - #310477 |
|
Title:
|
Analyzing Large Data with R and MonetDB
|
|
Author(s):
|
Thomas Lumley*+
|
|
Companies:
|
University of Auckland
|
|
Keywords:
|
|
|
Abstract:
|
Many statistical analyses require sums and products over large data vectors but more complex operations only on relatively small summaries. The large-data aggregation operations are suited to relational databases, and especially to analysis-oriented column-store databases such as MonetDB, and the more-complex operations and user interface are suited to a statistical environment such as R. I will describe the dynamic generation of SQL code to perform large-data analyses from R, and a virtual dataframe interface to simplify implementation. This is joint work with Hannes Muehleisen of Centrum Wiskunde & Informatica, Amsterdam.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2013 program
|
2013 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.