onekpca_loading {loadings} | R Documentation |
One-sided kernel principal component loading
Description
This function computes one-sided kernel principal component (one-sided KPC) loading from the result of the "one_kpca" function.
Usage
onekpca_loading(onekpca)
Arguments
onekpca |
The following variables (P,T and U) are included in the onekpca object. P : A matrix with one-sided KPCA loading in each column T : A matrix with one-sided KPCA score for linear side in each column U : A matrix with one-sied KPCA score for nonlinear side in each column |
Details
The one-sided KPC loading and the p-value by statistical hypothesis testing is added to the onekpca object returned by the "one_kpca" function.
Value
The return value is a list object that contains the following elements:
R : one-sided KPC loading (Correlation coefficient between one-sided KPC score of nonlinear variable (kernel matrix) and each variables in data matrix.)
p.value : p-value of one-sided KPC loading
Author(s)
Hiroyuki Yamamoto
References
Yamamoto H. (2023) One-sided Kernel Principal Component Analysis, Jxiv, <doi:10.51094/jxiv.262>.
Examples
# COVID-19 metabolome data
data(covid19)
X <- covid19$X$metabolomics
K <- covid19$K$metabolomics
onekpca <- one_kpca(X,K)
onekpca <- onekpca_loading(onekpca)
onekpca$loading$R
onekpca$loading$p.value