anova_pca_metadata: Generate a matrix of anova values for associating principal...
In pinin4fjords/shinyngs: Shiny apps for NGS data
anova_pca_metadata R Documentation
Generate a matrix of anova values for associating principal components with
categorical covariates.
Description
Generate a matrix of anova values for associating principal components with
categorical covariates.
Usage
anova_pca_metadata(pca_coords, pcameta, fraction_explained)
Arguments
pca_coords
Data frame of PCA coordinates, with samples by row and
components by column.
pcameta
Data frame of sample metadata with sample identifiers by row
and variables by column.
fraction_explained
Numeric vector containing the percent contribution
to variance of each component
Value
output A numeric matrix of p values
pinin4fjords/shinyngs documentation built on Feb. 28, 2024, 10:19 a.m.
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| anova_pca_metadata | R Documentation |
Generate a matrix of anova values for associating principal components with categorical covariates.
Description
Generate a matrix of anova values for associating principal components with categorical covariates.
Usage
anova_pca_metadata(pca_coords, pcameta, fraction_explained)
Arguments
pca_coords |
Data frame of PCA coordinates, with samples by row and components by column. |
pcameta |
Data frame of sample metadata with sample identifiers by row and variables by column. |
fraction_explained |
Numeric vector containing the percent contribution to variance of each component |
Value
output A numeric matrix of p values
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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