rdCV_PLS_RF {AlpsNMR}R Documentation

Deprecated function

Description

Deprecated function

Usage

rdCV_PLS_RF(nmr_peak_table)

Arguments

nmr_peak_table

an AlpsNMR integration object (2 classes)

Value

a MUVR model containing selection parameters, validation and fitness

References

Shi,L. et al. (2018) Variable selection and validation in multivariate modelling. Bioinformatics.

See Also

nmr_data_analysis Feature selection and validation in multivariate analysis

Statistical analysis and feature selection in a repeated double cross-validation frame based on the partial least squares (PLS) or random forest (RF) analyses using an algorithm for multivariate modelling with minimally biased variable selection (MUVR) from the MUVR package. If your work with a nmr_peak_table object from AlpsNMR, first you need to extract the X data from the main nmr_dataset object (e.g. your peak table) with the nmr_data function, otherwise you would try to set a list on the X. You also need to set the class from this object, or just set it from another Y vector.

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.nmr_dataset_1D(), plot_webgl(), print.nmr_dataset_1D(), rdCV_PLS_RF_ML(), save_files_to_rDolphin(), to_ChemoSpec(), validate_nmr_dataset_peak_table(), validate_nmr_dataset()

Examples

message("Deprecated. MUVR is not compatible with Bioconductor, 
use bp_kfold_VIP_analysis method instead")

[Package AlpsNMR version 3.3.4 Index]