nmr_interpolate_1D: Interpolate a set of 1D NMR Spectra

In AlpsNMR: Automated spectraL Processing System for NMR

Description

Interpolate a set of 1D NMR Spectra

Usage

nmr_interpolate_1D(samples, axis = c(min = 0.2, max = 10, by = 8e-04))

## S3 method for class 'nmr_dataset'
nmr_interpolate_1D(samples, axis = c(min = 0.2, max = 10, by = 8e-04))

Arguments

samples	An NMR dataset
axis	The ppm axis range and optionally the ppm step

Value

Interpolate a set of 1D NMR Spectra

See Also

Other nmr_dataset functions: [.nmr_dataset(), format.nmr_dataset(), load_and_save_functions, new_nmr_dataset(), nmr_meta_add(), nmr_meta_export(), nmr_meta_get_column(), nmr_meta_get(), nmr_ppm_resolution(), nmr_read_samples(), print.nmr_dataset(), validate_nmr_dataset()

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_meta_add(), nmr_meta_export(), nmr_meta_get_column(), nmr_meta_get(), nmr_normalize(), nmr_pca_build_model(), nmr_pca_outliers_filter(), 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()

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))

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))

AlpsNMR documentation built on April 1, 2021, 6:02 p.m.