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Sep 18th, 2012
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  1. library(actuar) # for rinvweibull
  2. library(deamer)
  3. set.seed(123)
  4. RT <- rinvweibull(10000, shape=5.53861156, scale=488)/1000
  5. RT <- RT[RT<1.5]
  6. noise <- 1/rnorm(10000, mean=0.0023853421, sd=0.0004784688)/1000
  7. noise <- noise[noise<1.5]
  8.  
  9. ST <- deamerSE(RT, errors=noise)
  10. plot(ST)
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