compute_feature_pvalues: Compute feature level p-values from BEAM statistics
In BEAMR: Bootstrap Evaluation of Association Matrices
View source: R/compute_feature_pvalues.R
compute_feature_pvalues R Documentation
Compute feature level p-values from BEAM statistics
Description
Compute feature level p-values from BEAM statistics
Usage
compute_feature_pvalues(beam.stats)
Arguments
beam.stats
A beam.stats object, which is a list with beam.stats (the association matrices), the beam.specs, and the beam.data
Value
A list of feature level p-values, with each entry a data frame for a different omics/endpoint associaiton, with columns id, gene, beta, p, q
Examples
data(beam_stats)
test.feat.pvals <- compute_feature_pvalues(beam.stats=beam_stats)
BEAMR documentation built on Sept. 11, 2024, 7:48 p.m.
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View source: R/compute_feature_pvalues.R
| compute_feature_pvalues | R Documentation |
Compute feature level p-values from BEAM statistics
Description
Compute feature level p-values from BEAM statistics
Usage
compute_feature_pvalues(beam.stats)
Arguments
beam.stats |
A beam.stats object, which is a list with beam.stats (the association matrices), the beam.specs, and the beam.data |
Value
A list of feature level p-values, with each entry a data frame for a different omics/endpoint associaiton, with columns id, gene, beta, p, q
Examples
data(beam_stats)
test.feat.pvals <- compute_feature_pvalues(beam.stats=beam_stats)
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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