computes_peak_width_ppm {AlpsNMR} | R Documentation

## Peak width estimation for integration

### Description

Estimates the peak width (ppm width) to perform peak integration using `nmr_integrate_peak_positions`. for this purpose, the full width at half maximum of a peak from alanine doublet is considered.

### Usage

    computes_peak_width_ppm(nmr_dataset)

### Arguments

`nmr_dataset` | An nmr_dataset_1D.

### Value

Numerical. A peak width (ppm) that may be set in `nmr_integrate_peak_positions`

### See Also

Other peak integration functions: `Pipelines`, `nmr_identify_regions_blood()`, `nmr_identify_regions_cell()`, `nmr_identify_regions_urine()`, `nmr_integrate_regions()`, `validate_nmr_dataset_peak_table()`

Other nmr_dataset_1D functions: `[.nmr_dataset_1D()`, `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_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()`

[Package AlpsNMR version 3.0.6 Index]