Description Usage Arguments Value Author(s) References Examples
View source: R/simulprofiles.R
Simulates multiple CGH profiles
1 | simulprofiles(M, n,k.mean,SNR,lambda)
|
M |
Number of profiles |
n |
length of profiles |
k.mean |
average number of segments per profile |
SNR |
Signal to Noise Ratio between the mean and the measurement noise. The mean of segments can take 3 values -1;0;0.58. |
lambda |
Variance ratio between measurement noise and bakground noise |
simul |
list containing Y (dataframe of simulated CGH signals), Ki (the true number of segments per profile), mu0 (the true signal), theta0 (the true background intensity) |
F. Picard, E. Lebarbier, M. Hoebeke, G. Rigaill, B. Thiam, S. Robin
Joint segmentation, calling and normalization of multiple CGH profiles, Biostatistics (2011)
1 2 3 | #set.seed(1)
#simul = simulprofiles(M=5,n=100,k.mean=2,SNR=5,lambda=1)
#CGHd = new("CGHdata",Y=simul$Y)
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