Description Arguments Value Examples
Bin sample using flowFP binning
object |
flowSample to bin |
n.bins=128 |
number of bins to use. This should be a power of 2, and will be rounded down to the nearest power of 2 if not. |
snow.cluster=NULL |
Optional snow cluster to use for parallel execution. |
dequantize=T |
If TRUE, adds a small (region of 1e-8) value to flow data to help break ties when binning. |
a BinnedFlowSample
1 2 3 | data(amlsample)
normed.sample <- quantileNormalise(aml.sample)
res <- flowFPBin(normed.sample)
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