Description Usage Value References See Also Examples
View source: R/Classifier_MUVR.R
Deprecated function
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 |
a MUVR model containing selection parameters, validation and fitness
Shi,L. et al. (2018) Variable selection and validation in multivariate modelling. Bioinformatics.
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()
1 2 | message("MUVR is not compatible with Bioconductor,
use bp_kfold_VIP_analysis method instead")
|
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