visqc_test_pca_scores: test scores and outcome

In MoseleyBioinformaticsLab/visualizationQualityControl: Development of visualization methods for quality control

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

Details

For each variable being tested, the function first checks the number of unique values in that variable. If the number of unique values is 1, or equal to the number of rows, then the variable is not tested and is excluded from the results.

Value

data.frame

MoseleyBioinformaticsLab/visualizationQualityControl documentation built on June 9, 2025, 8:36 a.m.