Description Usage Arguments Details Value Author(s)
Create a clusterdef object, specifying only the maximum number of total copies observed
1 2 3 4 | clusterdef.ncopies(n,
R.mean = c(`0` = -3.527211, `1` = -0.664184, `2` = 0, `3` = 0.395621, `4` = 0.678345),
R.sd = c(`0` = 1.329152, `1` = 0.284338, `2` = 0.159645, `3` = 0.209089, `4` = 0.191579),
eps = 0.01)
|
n |
maximum number of copies |
R.mean |
default values of LRR means for 0..4 copies |
R.sd |
default values of LRR sds for 0..4 copies |
eps |
distance from 0 or 1 to assign theta values with theoretical values of 0 or 1 |
Default values for LRR means and sd are taken from ???. The LRR_SD is quite dependent on data quality and normalisation but the LRR-Mean should be fairly good.
LRR_mean: Copy 0 1 2 3 4+ -3.527211 -0.664184 0.000000 0.395621 0.678345 LRR_sd: Copy 0 1 2 3 4+ 1.329152 0.284338 0.159645 0.209089 0.191579
a clusterdef object
Chris Wallace
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