Statistical hypothesis testing of loadings in multivariate analysis.
loadings provides functions for computing loading and its statistical hypothesis testing in principal component analysis and partial least squares.
Principal component (PC) loading can be calculated from the result of the “prcomp” function. (The “loadings” function in stats can usually be applied only to the “princomp” function.) We can also calculate the p-value by statistical hypothesis testing for PC loading [1].
Partial Least Squares (PLS) [2] (also named as Naive PLS [3]) can be computed by “pls_svd” function in loadings package. PLS loading and p-value by statistical hypothesis testing can be computed. PLS loading can also be computed from the result of the “pls_eigen” function in chemometrics.
PLS-ROG (partial least squares rank order of groups) [3], which is a suitable PLS when the groups are ordered, can be calculated. Their loading and p-values can also be calculated.
OS-PCA (orthogonal smoothed principal component analysis), which is a suitable PCA when the samples are ordered, can be calculated. Their loading and p-values can also be calculated.
References
[1] Yamamoto H. et al., BMC Bioinformatics, (2014) 15(1):51.
[2] Barker M. et al., Journal of Chemometrics, 17(3) (2003) 166-173.
[3] Yamamoto H., Journal of Chemometrics, 31(3) (2017) e2883.
[4] Yamamoto H. et al., Metabolites, 11(3) (2021) 149.
The latest stable version can be installed from CRAN:
The latest development version can be installed from GitHub: