roc.curves.boot {Comp2ROC}

Compare curves

Description

This is the function which control the whole package.This uses all functions except the reading ones and rocboot.summary and save.file.summary.

Usage

roc.curves.boot(data, nb = 1000, alfa = 0.05, name, mod1, mod2, paired)

Arguments

data

Data obtained throught read.file or read.manually.introduced

nb

Number of permutations

alfa

Confidance level for parametric methods

name

Name too show in graphs

mod1

Name of Modality 1

mod2

Name of Modality 2

paired

Boolean parameter that represents if the two modalities are related or not

Value

This function returns a list with:

Area1

Area of Curve 1

SE1

Standard error of Curve 1

Area2

Area of Curve 2

SE2

Standard error of Curve 2

CorrCoef

Correlation Coeficient

diff

Difference Between Areas (TS)

zstats

Z Statistic

pvalue1

p-value of Z Statistics

TrapArea1

Area of curve 1 using the Trapezoidal rule

TrapArea2

Area of curve 2 using the Trapezoidal rule

bootpvalue

p-value of bootstrapping

nCross

Number of Crossings

ICLB1

Confidance Interval: Lower Bound for Curve 1

ICUB1

Confidance Interval: Upper Bound for Curve 1

ICLB2

Confidance Interval: Lower Bound for Curve 2

ICUB2

Confidance Interval: Upper Bound for Curve 2

ICLBDiff

Confidance Interval: Lower Bound for Difference between areas

ICUBDiff

Confidance Interval: Upper Bound for Difference between areas

Examples

data(zhang)
nameE = "new_Zhang"
modality1DataColumn = "modality1"
modality2DataColumn = "modality2"
data = read.manually.introduced(zhang, moda1, TRUE, moda2, TRUE, "status", TRUE)
results = roc.curves.boot(zhang, 1000, 0.05, name=nameE,
                          mod1=modality1DataColumn, mod2=modality2DataColumn)