LearnPCA-package: Functions, Data Sets and Vignettes to Aid in Learning...
In bryanhanson/LearnPCA: Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA)
LearnPCA-package R Documentation
Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA)
Description
Principal component analysis (PCA) is one of the most widely used data analysis techniques.
This package provides a series of vignettes explaining PCA starting from basic concepts.
The primary purpose is to serve as a self-study resource for anyone wishing to understand PCA better.
A few convenience functions are provided as well.
Author(s)
Bryan A. Hanson and David T. Harvey.
Maintainer: Bryan A. Hanson hanson@depauw.edu
See Also
Useful links:
bryanhanson/LearnPCA documentation built on May 2, 2024, 6:21 p.m.
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| LearnPCA-package | R Documentation |
Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA)
Description
Principal component analysis (PCA) is one of the most widely used data analysis techniques. This package provides a series of vignettes explaining PCA starting from basic concepts. The primary purpose is to serve as a self-study resource for anyone wishing to understand PCA better. A few convenience functions are provided as well.
Author(s)
Bryan A. Hanson and David T. Harvey. Maintainer: Bryan A. Hanson hanson@depauw.edu
See Also
Useful links:
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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