plsda_auroc_vip_method: Method for nmr_data_analysis (PLSDA model with AUROC and VIP...
In AlpsNMR: Automated spectraL Processing System for NMR
Description
Usage
Arguments
Value
Examples
Description
Method for nmr_data_analysis (PLSDA model with AUROC and VIP outputs)
Usage
1
plsda_auroc_vip_method(ncomp, auc_increment_threshold = 0.05)
Arguments
ncomp
Max. number of latent variables to explore in the PLSDA analysis
auc_increment_threshold
Choose the number of latent variables when the
AUC does not increment more than this threshold.
Value
Returns an object to be used with nmr_data_analysis to perform a (optionally
multilevel) PLS-DA model, using the area under the ROC curve as figure of
merit to determine the optimum number of latent variables.
Examples
1
method <- plsda_auroc_vip_method(3)
AlpsNMR documentation built on April 1, 2021, 6:02 p.m.
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Description Usage Arguments Value Examples
Description
Method for nmr_data_analysis (PLSDA model with AUROC and VIP outputs)
Usage
1 | plsda_auroc_vip_method(ncomp, auc_increment_threshold = 0.05)
|
Arguments
ncomp |
Max. number of latent variables to explore in the PLSDA analysis |
auc_increment_threshold |
Choose the number of latent variables when the AUC does not increment more than this threshold. |
Value
Returns an object to be used with nmr_data_analysis to perform a (optionally multilevel) PLS-DA model, using the area under the ROC curve as figure of merit to determine the optimum number of latent variables.
Examples
1 | method <- plsda_auroc_vip_method(3)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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