nmr_pca_outliers_filter: Exclude outliers

In sipss/AlpsNMR: Automated spectraL Processing System for NMR

Exclude outliers

Description

Exclude outliers

Usage

nmr_pca_outliers_filter(nmr_dataset, pca_outliers)

Arguments

nmr_dataset	An nmr_dataset_1D object
pca_outliers	The output from nmr_pca_outliers()

Value

An nmr_dataset_1D without the detected outliers

See Also

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

Other outlier detection functions: Pipelines, nmr_pca_outliers_plot(), nmr_pca_outliers_robust(), nmr_pca_outliers()

Other subsetting functions: [.nmr_dataset_1D(), [.nmr_dataset_peak_table(), [.nmr_dataset(), filter.nmr_dataset_family()

Examples

dir_to_demo_dataset <- system.file("dataset-demo", package = "AlpsNMR")
dataset <- nmr_read_samples_dir(dir_to_demo_dataset)
dataset_1D <- nmr_interpolate_1D(dataset, axis = c(min = -0.5, max = 10, by = 2.3E-4))
model <- nmr_pca_build_model(dataset_1D)
outliers_info <- nmr_pca_outliers(dataset_1D, model)
dataset_whitout_outliers <- nmr_pca_outliers_filter(dataset_1D, outliers_info)

sipss/AlpsNMR documentation built on June 29, 2023, 6:51 a.m.