simu.idr | R Documentation |
This is a simulated dataset for testing the program. Data is first simulated from the copula mixture model with latent structure of 0.65 N(mu, mu, sigma, sigma, rho) + 0.95 N(0, 0, 1, 1, 0), where mu=2.5, sigma=1, rho=0.84. The observations in the dataset are then generated by taking the p-values from a z-test H0: mu=0.
data(simu.idr)
A data frame with 1000 observations on the following 3 variables.
x
a numeric vector, representing p-values on replicate 1
y
a numeric vector, representing p-values on replicate 2
labels
a binary vector, where 1 represents the reproducible component and 0 represents the irreproducible component.
Q. Li, J. B. Brown, H. Huang and P. J. Bickel. (2011) Measuring reproducibility of high-throughput experiments. Annals of Applied Statistics, Vol. 5, No. 3, 1752-1779.
data(simu.idr) plot(rank(simu.idr$x), rank(simu.idr$y))
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