model_predict: Model prediction

In structToolbox: Data processing & analysis tools for Metabolomics and other omics

Description

Apply a model using the input DatasetExperiment. Assumes the model is trained first.

Usage

## S4 method for signature 'DFA,DatasetExperiment'
model_predict(M, D)

## S4 method for signature 'PCA,DatasetExperiment'
model_predict(M, D)

## S4 method for signature 'PLSDA,DatasetExperiment'
model_predict(M, D)

## S4 method for signature 'PLSR,DatasetExperiment'
model_predict(M, D)

## S4 method for signature 'autoscale,DatasetExperiment'
model_predict(M, D)

## S4 method for signature 'blank_filter,DatasetExperiment'
model_predict(M, D)

## S4 method for signature 'constant_sum_norm,DatasetExperiment'
model_predict(M, D)

## S4 method for signature 'dratio_filter,DatasetExperiment'
model_predict(M, D)

## S4 method for signature 'filter_by_name,DatasetExperiment'
model_predict(M, D)

## S4 method for signature 'filter_na_count,DatasetExperiment'
model_predict(M, D)

## S4 method for signature 'filter_smeta,DatasetExperiment'
model_predict(M, D)

## S4 method for signature 'glog_transform,DatasetExperiment'
model_predict(M, D)

## S4 method for signature 'linear_model,DatasetExperiment'
model_predict(M, D)

## S4 method for signature 'mean_centre,DatasetExperiment'
model_predict(M, D)

## S4 method for signature 'mv_feature_filter,DatasetExperiment'
model_predict(M, D)

## S4 method for signature 'mv_sample_filter,DatasetExperiment'
model_predict(M, D)

## S4 method for signature 'pareto_scale,DatasetExperiment'
model_predict(M, D)

## S4 method for signature 'SVM,DatasetExperiment'
model_predict(M, D)

## S4 method for signature 'vec_norm,DatasetExperiment'
model_predict(M, D)

Arguments

M	a model object
D	a DatasetExperiment object

Value

Returns a modified model object

Examples

M = example_model()
M = model_predict(M,iris_DatasetExperiment())

structToolbox documentation built on Nov. 8, 2020, 6:54 p.m.