model.evaluation.plot: Model Evaluation Plot

In KonradZych/SIAMCAT: Statistical Inference of Associations between Microbial Communities And host phenoTypes

Description

Produces two plots for model evaluation. The first plot shows the Receiver Operating Characteristic (ROC)-curves, the other the Precision-recall (PR)-curves for the different cross-validation repetitions.

Usage

model.evaluation.plot(..., fn.plot, colours = NULL, verbose = 1)

Arguments

...	one or more object of class siamcat-class, can be named
fn.plot	string, filename for the pdf-plot
colours	colour specification for the different siamcat-class- objects, defaults to NULL which will cause the colours to be picked from the 'Set1' palette
verbose	control output: 0 for no output at all, 1 for only information about progress and success, 2 for normal level of information and 3 for full debug information, defaults to 1

Value

Does not return anything, but produces the model evaluation plot.

Examples

    data(siamcat_example)
    # simple working example
    model.evaluation.plot(siamcat_example, fn.plot='./eval,pdf')

KonradZych/SIAMCAT documentation built on May 17, 2019, 6:20 p.m.