featureBatchPVCA: PVCA batch effect plot
In jordirofes/OmniOmics: Analysis of metabolomics (LC-MS) and transcriptomics (Microarray) data
featureBatchPVCA R Documentation
PVCA batch effect plot
Description
Creates a column plot with the variance of each covariate in the
principal variation component analysis
Usage
featureBatchPVCA(features, phenovars, threshold)
Arguments
features
An ExpressionSet object
threshold
A precentile value for the minimum variance the selected
principal components need to explain
phenovar
A numeric or string vector indicating the columns of the pehnodata to include
in the pvca analysis
Value
Returns a ggplot object or a ggplotly
Author(s)
Jordi Rofes Herrera
jordirofes/OmniOmics documentation built on Nov. 22, 2022, 5:46 a.m.
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| featureBatchPVCA | R Documentation |
PVCA batch effect plot
Description
Creates a column plot with the variance of each covariate in the principal variation component analysis
Usage
featureBatchPVCA(features, phenovars, threshold)
Arguments
features |
An ExpressionSet object |
threshold |
A precentile value for the minimum variance the selected principal components need to explain |
phenovar |
A numeric or string vector indicating the columns of the pehnodata to include in the pvca analysis |
Value
Returns a ggplot object or a ggplotly
Author(s)
Jordi Rofes Herrera
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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