plot.nmr_dataset_1D: Plot an nmr_dataset_1D
In AlpsNMR: Automated spectraL Processing System for NMR

Description Usage Arguments Value See Also Examples

Plot an nmr_dataset_1D

## S3 method for class 'nmr_dataset_1D'
plot(
  x,
  NMRExperiment = NULL,
  chemshift_range = NULL,
  interactive = FALSE,
  quantile_plot = NULL,
  quantile_colors = NULL,
  ...
)

`x`	a nmr_dataset_1D object
`NMRExperiment`	A character vector with the NMRExperiments to include. Use "all" to include all experiments.
`chemshift_range`	range of the chemical shifts to be included. Can be of length 3 to include the resolution in the third element (e.g. `c(0.2, 0.8, 0.005)`)
`interactive`	if `TRUE` return an interactive plotly plot, otherwise return a ggplot one.
`quantile_plot`	If `TRUE` plot the 10\ If two numbers between 0 and 1 are given then a custom percentile can be plotted
`quantile_colors`	A vector with the colors for each of the quantiles
`...`	arguments passed to ggplot2::aes_string.

The plot

Other plotting functions: plot_interactive()

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_filter(), nmr_pca_outliers_plot(), nmr_pca_outliers_robust(), nmr_pca_outliers(), nmr_ppm_resolution(), 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()

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))
#plot(dataset_1D)