Description Usage Arguments Value
Create a dataset with 200 patients and 5 genes: 3 genes contains 150/50 ratio difference with mean obtained with runif (n1 , 0, 0.2) / runif(n2, 0.7, 0.99) 2 genes 75/125 ratio difference in the opposite direction obtained with runif (n3 , 0.6, 1) / runif(n4, 0.2, 0.4)
Create a dataset with 200 patients and 1 genes: generated by 191 0.3 and 9 0.4
Create a dataset with 200 patients and 5 genes: 3 genes contains 150/50 ratio difference with mean obtained with rnorm (n1 , 5, 1) / rnorm(n2, 8, 1) 2 genes 75/125 ratio difference in the opposite direction obtained with rnorm (n3 , 9, 1) / rnorm(n4, 2, 0.4)
Create a dataset with 200 patients and 5 genes: 3 genes contains 150/50 ratio difference with values obtained by sampling c(-1,0,0,0,1,1) and c(-2,0,0,0,0,2,2) for low/high 2 genes 75/125 ratio difference in the opposite direction obtained by sampling c(-2,0,0,0,0,0,2) and c(-1,0,0,0,0,0,1) for high/low
1 2 3 4 5 6 7 8 9 | dummy_methylation_like_dataset(seed = 1234)
dummy_methylation_like_flat_dataset(seed = 1234)
create_met_cluster_dict(dataset)
dummy_expression_like_dataset(seed = 1234)
dummy_cnv_like_dataset(seed = 1234)
|
seed |
the seed number for reproducibility of random numbers |
dataset |
a dummy dataset for the dummy dict |
dataset
dict
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