| computeInfRV {fishpond} | R Documentation |
InfRV is used the Swish publication for visualization.
This function provides computation of the mean InfRV, a simple
statistic that measures inferential uncertainty.
It also computes and adds the mean and variance of inferential
replicates, which can be useful ahead of plotInfReps.
Note that InfRV is not used in the swish
statistical method at all, it is just for visualization.
See function code for details.
computeInfRV(y, pc = 5, shift = 0.01, meanVariance, useCounts = FALSE)
y |
a SummarizedExperiment |
pc |
a pseudocount parameter for the denominator |
shift |
a final shift parameter |
meanVariance |
logical, use pre-computed inferential mean
and variance assays instead of |
useCounts |
logical, whether to use the MLE count matrix for the mean instead of mean of inferential replicates. this argument is for backwards compatability, as previous versions used counts. Default is FALSE |
a SummarizedExperiment with meanInfRV in the metadata columns