Plotting functions for PCA — nmr_pca_plots • AlpsNMR

Plotting functions for PCA

Usage

nmr_pca_plot_variance(pca_model)

nmr_pca_scoreplot(nmr_dataset, pca_model, comp = seq_len(2), ...)

nmr_pca_loadingplot(pca_model, comp)

Arguments

pca_model: A PCA model trained with nmr_pca_build_model
nmr_dataset: an nmr_dataset_1D object
comp: Components to represent
...: Additional aesthetics passed on to ggplot2::aes (use bare unquoted names)

Value

Plot of PCA

See also

Other PCA related functions: nmr_pca_build_model(), nmr_pca_outliers(), nmr_pca_outliers_filter(), nmr_pca_outliers_plot(), nmr_pca_outliers_robust()

Examples

dataset_1D <- nmr_dataset_load(system.file("extdata", "nmr_dataset.rds", package = "AlpsNMR"))
model <- nmr_pca_build_model(dataset_1D)
nmr_pca_plot_variance(model)

nmr_pca_scoreplot(dataset_1D, model)

nmr_pca_loadingplot(model, 1)