[.nmr_dataset_1D {AlpsNMR} | R Documentation

## Extract parts of an nmr_dataset_1D

### Description

Extract parts of an nmr_dataset_1D

### Usage

    ## S3 method for class 'nmr_dataset_1D'
    x[i]

### Arguments

`x` | an nmr_dataset_1D object
`i` | indices of the samples to keep

### Value

an nmr_dataset_1D with the extracted samples

### See Also

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

Other nmr_dataset_1D functions: `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_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))
    dataset_1D[0]

[Package AlpsNMR version 3.0.6 Index]