expSummary: Access MRexperiment object experiment data
In metagenomeSeq: Statistical analysis for sparse high-throughput sequencing
Description
Usage
Arguments
Value
Author(s)
Examples
Description
The expSummary vectors represent the column (sample specific) sums of
features, i.e. the total number of reads for a sample, libSize and also the
normalization factors, normFactor.
Usage
1
expSummary(obj)
Arguments
obj
a MRexperiment object.
Value
Experiment summary table
Author(s)
Joseph N. Paulson, jpaulson@umiacs.umd.edu
Examples
1
2
metagenomeSeq documentation built on Nov. 8, 2020, 5:34 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
The expSummary vectors represent the column (sample specific) sums of features, i.e. the total number of reads for a sample, libSize and also the normalization factors, normFactor.
Usage
1 | expSummary(obj)
|
Arguments
obj |
a |
Value
Experiment summary table
Author(s)
Joseph N. Paulson, jpaulson@umiacs.umd.edu
Examples
1 2 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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