CA.plotCI: Plot 95 percent confidence interval plots for calibration...

In IngerMathilde/legalPsych: Package Created For Legal Psychology Tests

Plot 95 percent confidence interval plots for calibration statistics

Description

CA.plotCI() takes the argument of CA.rel() and and plots the confidence interval plots for the C, O/U, and NRI calibration statistics.

Usage

CA.plotCI(CA.rel, ylim = list(C = NULL, OU = c(0), NRI = NULL))

Arguments

CA.rel	Object created by the CA.rel function
ylim	A list with the limitation of the y axis for each calibration statistic.

Details

For a more detailed explanation see the github page for a manual. https://github.com/IngerMathilde/CArelationship

Author(s)

Inger van Boeijen <[e-mail]>

Examples

library(jtools)
data(metamemoryCA)

# Create a CI plot for the C, OU, NRI statistics for high and low metamemory raters of two
# different components.

ChMM <- CA.rel(data = metamemoryCA, confidence = "Confidence",
                        correct = "ChoiceCorrect", test = "CAL",
                        var = c("Rater.EMS.Relative.Face.Recognition",
                                "Rater.EMS.Eyewitness.Ability"),
                        var.levels = c('Low', 'High'),
                        confidenceLevels = list(c(0,20),c(30,40), c(50,60), c(70,80), c(90,100)),
                        jack = TRUE)
CA.plotCI(ChMM)

IngerMathilde/legalPsych documentation built on March 28, 2024, 10:10 p.m.