plot.nmr_dataset_1D {AlpsNMR} | R Documentation |
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. |
interactive |
if |
quantile_plot |
If |
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)