perf.calc

dataframe of predicted (pred) and observed (obs) groups

data

String indicating which model was initially run

model


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

perf.calc function

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

perf.calc: Performance Statistics Calculations

Description

Usage

Arguments

Value

See Also