calculateEffectiveSamples

The output of fitZig run on a MRexperiment object.


Calculates the number of estimated effective samples per feature from the output
of a fitZig run. The estimated effective samples per feature is calculated as the
sum_1^n (n = number of samples) 1-z_i where z_i is the posterior probability a feature
belongs to the technical distribution.


metagenomeSeq is designed to determine features (be it
Operational Taxanomic Unit (OTU), species, etc.) that are
differentially abundant between two or more groups of multiple
samples. metagenomeSeq is designed to address the effects of
both normalization and under-sampling of microbial communities
on disease association detection and the testing of feature
correlations.

calculateEffectiveSamples: Estimated effective samples per feature

Description

Usage

Arguments

Value

See Also