nmr_pca_outliers_filter {AlpsNMR} | R Documentation |
Exclude outliers
nmr_pca_outliers_filter(nmr_dataset, pca_outliers)
nmr_dataset |
An nmr_dataset_1D object |
pca_outliers |
The output from |
An nmr_dataset_1D without the detected outliers
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 nmr_dataset_1D functions:
[.nmr_dataset_1D()
,
computes_peak_width_ppm()
,
file_lister()
,
files_to_rDolphin()
,
format.nmr_dataset_1D()
,
is.nmr_dataset_1D()
,
load_and_save_functions
,
new_nmr_dataset_1D()
,
nmr_align_find_ref()
,
nmr_baseline_removal()
,
nmr_baseline_threshold()
,
nmr_exclude_region()
,
nmr_integrate_regions()
,
nmr_interpolate_1D()
,
nmr_meta_add()
,
nmr_meta_export()
,
nmr_meta_get_column()
,
nmr_meta_get()
,
nmr_normalize()
,
nmr_pca_build_model()
,
nmr_pca_outliers_plot()
,
nmr_pca_outliers_robust()
,
nmr_pca_outliers()
,
nmr_ppm_resolution()
,
plot.nmr_dataset_1D()
,
plot_webgl()
,
print.nmr_dataset_1D()
,
rdCV_PLS_RF_ML()
,
rdCV_PLS_RF()
,
save_files_to_rDolphin()
,
to_ChemoSpec()
,
validate_nmr_dataset_peak_table()
,
validate_nmr_dataset()
Other subsetting functions:
[.nmr_dataset_1D()
,
[.nmr_dataset_peak_table()
,
[.nmr_dataset()
,
filter.nmr_dataset_family()
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)