PCASuitability: PCA Suitability
In neobernad/evaluomeR: Evaluation of Bioinformatics Metrics
View source: R/dataPreprocessing.R
PCASuitability R Documentation
PCA Suitability
Description
Performs Bartlett's test and KMO test to determine the suitability of PCA on the given correlation matrix R.
Usage
PCASuitability(R, sig_level = 0.05)
Arguments
R
A correlation matrix of the dataset.
sig_level
A numeric significance level for Bartlett's test, default is 0.05.
Value
A list indicating if PCA is suitable, along with the results of Bartlett's and KMO tests.
neobernad/evaluomeR documentation built on Nov. 12, 2024, 11:29 p.m.
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View source: R/dataPreprocessing.R
| PCASuitability | R Documentation |
PCA Suitability
Description
Performs Bartlett's test and KMO test to determine the suitability of PCA on the given correlation matrix R.
Usage
PCASuitability(R, sig_level = 0.05)
Arguments
R |
A correlation matrix of the dataset. |
sig_level |
A numeric significance level for Bartlett's test, default is 0.05. |
Value
A list indicating if PCA is suitable, along with the results of Bartlett's and KMO tests.
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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