Abstract Details
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Activity Number:
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376
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Type:
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Contributed
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Date/Time:
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Tuesday, August 6, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #309478 |
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Title:
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An R Framework for Simulation Experiments
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Author(s):
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David C. Cooper*+
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Companies:
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GlaxoSmithKline
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Keywords:
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simulation ;
R ;
plyr
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Abstract:
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Simulation experiments are useful for checking and expanding our understanding of statistical estimators and tests. However, large simulations can be frustrating due to computational limits on storage (for capturing many simulated datasets) and speed (for analyzing many dataset). I will present a framework for simulation experiments that uses tools from the R package plyr (1) to organize simulation experiments that are scalable and do not run out of memory during execution.
1) Hadley Wickham (2011). The Split-Apply-Combine Strategy for Data Analysis. Journal of Statistical Software, 40(1), 1-29. URL http://www.jstatsoft.org/v40/i01/
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Authors who are presenting talks have a * after their name.
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