visqc_test_pca_scores: test scores and outcome
In MoseleyBioinformaticsLab/visualizationQualityControl: Development of visualization methods for quality control
View source: R/principal_component_testing.R
visqc_test_pca_scores R Documentation
test scores and outcome
Description
Given a matrix of PCA scores, set of sample attributes to test,
goes through and performs an ANOVA of the scores versus the attribute.
Usage
visqc_test_pca_scores(pca_scores, sample_info)
Arguments
pca_scores
matrix of scores from a PCA decomposition
sample_info
data.frame of sample attributes to test
Value
data.frame
MoseleyBioinformaticsLab/visualizationQualityControl documentation built on Feb. 21, 2024, 1:06 a.m.
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View source: R/principal_component_testing.R
| visqc_test_pca_scores | R Documentation |
test scores and outcome
Description
Given a matrix of PCA scores, set of sample attributes to test, goes through and performs an ANOVA of the scores versus the attribute.
Usage
visqc_test_pca_scores(pca_scores, sample_info)
Arguments
pca_scores |
matrix of scores from a PCA decomposition |
sample_info |
data.frame of sample attributes to test |
Value
data.frame
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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