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(s)PCA Build using RSpectra::svds()
#251
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Commits on Oct 6, 2022
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refactor: import and utilise RSpectra::svds() instead of base::svd(). svds() only calculates the required number of left and right singular vector as eigenvalues. svd() calculates an excessive amount which can cause runtime inflation for large datasets
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refactor: import and utilise RSpectra::svds() instead of base::svd(). This is now also applied to spca()
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docs: updated NAMESPACE and DESCRIPTION to include new dependency
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tests: increased suffix length in `plotLoadings()` label-length check
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refactor: import and utilise RSpectra::svds() instead of base::svd(). svds() only calculates the required number of left and right singular vector as eigenvalues. svd() calculates an excessive amount which can cause runtime inflation for large datasets
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refactor: import and utilise RSpectra::svds() instead of base::svd(). This is now also applied to spca()
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docs: updated NAMESPACE and DESCRIPTION to include new dependency
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fix: when ILR/CLR was used, X was of invalid class. Added check to ensure `svds()` can operate on X
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Commits on Oct 7, 2022
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fix: when ILR/CLR was used, X was of invalid class. Added check to ensure `svds()` can operate on X. Implemented this for `spca()`
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