kpca_fn: Compute kernel principal components
In dswatson/bioplotr: Pretty, simple, optionally interactive plots for bioinformatics analysis pipelines
kpca_fn R Documentation
Compute kernel principal components
Description
This utility function computes the kernel matrix and performs
eigendecomposition.
Usage
kpca_fn(dat, kernel, kpar, rank)
Arguments
dat
Omic data matrix.
kernel
The kernel generating function. Options include
"rbfdot", "polydot", "tanhdot", "vanilladot",
"laplacedot", "besseldot", "anovadot", and
"splinedot".
kpar
A named list of arguments setting parameters for the kernel
function.
rank
Number of principal components to return.
dswatson/bioplotr documentation built on March 3, 2023, 9:43 p.m.
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| kpca_fn | R Documentation |
Compute kernel principal components
Description
This utility function computes the kernel matrix and performs eigendecomposition.
Usage
kpca_fn(dat, kernel, kpar, rank)
Arguments
dat |
Omic data matrix. |
kernel |
The kernel generating function. Options include
|
kpar |
A named list of arguments setting parameters for the kernel function. |
rank |
Number of principal components to return. |
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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