pc_factor_correlation: Correlations Between Principle Components and Factors
In espors/idepGolem: Integrated Differential Expression and Pathway Analysis
pc_factor_correlation R Documentation
Correlations Between Principle Components and Factors
Description
This function calculates the correlation between the principle components
and factors and return the result in a formatted string.
Usage
pc_factor_correlation(data, sample_info)
Arguments
data
Matrix of gene data that has been through
pre_process()
sample_info
Matrix of sample information from experiment design file
Value
A string
See Also
Other PCA functions:
MDS_plot(),
PCA_Scree(),
PCA_biplot(),
PCA_plot(),
PCA_plot_3d(),
PCAtools_eigencorplot(),
t_SNE_plot()
espors/idepGolem documentation built on April 23, 2024, 1:11 p.m.
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| pc_factor_correlation | R Documentation |
Correlations Between Principle Components and Factors
Description
This function calculates the correlation between the principle components and factors and return the result in a formatted string.
Usage
pc_factor_correlation(data, sample_info)
Arguments
data |
Matrix of gene data that has been through
|
sample_info |
Matrix of sample information from experiment design file |
Value
A string
See Also
Other PCA functions:
MDS_plot(),
PCA_Scree(),
PCA_biplot(),
PCA_plot(),
PCA_plot_3d(),
PCAtools_eigencorplot(),
t_SNE_plot()
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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