calculate_multi_roc

Most ROC curve plots obscure the cutoff values and inhibit
interpretation and comparison of multiple curves. This attempts to address
those shortcomings by providing plotting and interactive tools. Functions
are provided to generate an interactive ROC curve plot for web use, and
print versions. A Shiny application implementing the functions is also
included.

Michael Sachs

plotROC

Generate Useful ROC Curve Charts for Print and Interactive Use

Michael C. Sachs

Robert W. Corty

Luis Crouch 

calculate_multi_roc function

<dl><dt>data</dt>
<dd>data frame containing at least 1 marker and the common class
labels, coded as 0 and 1</dd>
<dt>M_string</dt>
<dd>vector of marker column names</dd>
<dt>D_string</dt>
<dd>class label column name</dd></dl>

Arguments

Calculate the Empirical ROC curves for multiple biomarkers — calculate_multi_roc

<dl>

<dt>data</dt>
<dd>data frame containing at least 1 marker and the common class
labels, coded as 0 and 1</dd>


<dt>M_string</dt>
<dd>vector of marker column names</dd>


<dt>D_string</dt>
<dd>class label column name</dd>

</dl>

calculate_multi_roc: Calculate the Empirical ROC curves for multiple biomarkers

Description

Usage

Value

Arguments