performPCA: Perform PCA
In neobernad/evaluomeR: Evaluation of Bioinformatics Metrics
View source: R/dataPreprocessing.R
performPCA R Documentation
Perform PCA
Description
Executes PCA on the provided dataset and summarizes the results.
Usage
performPCA(dataset, ncp = NULL, scale = TRUE, visualize = FALSE)
Arguments
dataset
A data frame to be analyzed via PCA.
ncp
An integer specifying the number of principal components to retain, default is 5.
scale
A boolean indicating whether to scale the data, default is TRUE.
Value
A list containing the PCA results, summary of eigenvalues, contributions, coordinates, and more.
neobernad/evaluomeR documentation built on Nov. 12, 2024, 11:29 p.m.
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View source: R/dataPreprocessing.R
| performPCA | R Documentation |
Perform PCA
Description
Executes PCA on the provided dataset and summarizes the results.
Usage
performPCA(dataset, ncp = NULL, scale = TRUE, visualize = FALSE)
Arguments
dataset |
A data frame to be analyzed via PCA. |
ncp |
An integer specifying the number of principal components to retain, default is 5. |
scale |
A boolean indicating whether to scale the data, default is TRUE. |
Value
A list containing the PCA results, summary of eigenvalues, contributions, coordinates, and more.
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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