performance.stats

vector of groups predicted by a fitted classification model

pred

vector of groups from the original dataset


Calculates confusion matrix and ROC statistics comparing the
results of the fitted models to the observed groups.


Tools for classification and feature selection for 'omics' level
datasets.  It is a tool to provide multiple multivariate classification
and feature selection techniques complete with multiple stability metrics
and aggregation techniques.  It is primarily designed for analysis of
metabolomics datasets but potentially extendable to proteomics and
transcriptomics applications.

Charles Jr

OmicsMarkeR

Classification and Feature Selection for 'Omics' Datasets

performance.stats function

Calculates confusion matrix and ROC statistics comparing the
results of the fitted models to the observed groups.

performance.stats: Performance Statistics (Internal for `perf.calc`)

Description

Usage

Arguments

Value

See Also