pca_tetra: Perform Principal Component Analysis on the normalized,...
In BigelowLab/tetramers: Tetramer Analysis with Principle Component Analysis
pca_tetra R Documentation
Perform Principal Component Analysis on the normalized, reduced, tetramer matrix
Description
Perform Principal Component Analysis on the normalized, reduced, tetramer matrix
Usage
pca_tetra(x, scale. = TRUE, ...)
Arguments
x
numeric, the (n x 136) matrix of normalized counts
scale.
see prcomp
...
further arguments for prcomp
BigelowLab/tetramers documentation built on April 3, 2022, 8:22 p.m.
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| pca_tetra | R Documentation |
Perform Principal Component Analysis on the normalized, reduced, tetramer matrix
Description
Perform Principal Component Analysis on the normalized, reduced, tetramer matrix
Usage
pca_tetra(x, scale. = TRUE, ...)
Arguments
x |
numeric, the (n x 136) matrix of normalized counts |
scale. |
see |
... |
further arguments for |
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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