add_back_covariates: Add back covariate effects to batch-corrected feature...
In MMUPHin: Meta-analysis Methods with Uniform Pipeline for Heterogeneity in Microbiome Studies
Description
Usage
Arguments
Value
View source: R/helpers_adjust_batch.R
Description
Add back covariate effects to batch-corrected feature abundance data
Usage
1
add_back_covariates(adj_data, l_stand_feature, l_ind)
Arguments
adj_data
feature-by-sample matrix of batch-adjusted feature abundances
(but without covariate effects), as returned by relocate_scale.
l_stand_feature
list of per-feature standardization fits, as returned
by fit_stand_feature.
l_ind
list of indicator matrices, as returned by construct_ind.
Value
feature-by-sample matrix of batch-adjusted feature abundances
with covariate effects retained.
MMUPHin documentation built on April 9, 2021, 6:01 p.m.
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Description Usage Arguments Value
View source: R/helpers_adjust_batch.R
Description
Add back covariate effects to batch-corrected feature abundance data
Usage
1 | add_back_covariates(adj_data, l_stand_feature, l_ind)
|
Arguments
adj_data |
feature-by-sample matrix of batch-adjusted feature abundances (but without covariate effects), as returned by relocate_scale. |
l_stand_feature |
list of per-feature standardization fits, as returned by fit_stand_feature. |
l_ind |
list of indicator matrices, as returned by construct_ind. |
Value
feature-by-sample matrix of batch-adjusted feature abundances with covariate effects retained.
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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