# plot_morbist: Plot the parameters characterizing the MORBIST model In m-Py/DOTA2: Discrete option test analysis

## Description

Plots decision variable distribution of targets and and lures (assuming a normal distribution of evidence) for a test-taker; can also illustrate a response criterion vector

## Usage

 ```1 2 3 4 5``` ```plot_morbist(x, y, showCriterion = TRUE, labelCriterion = FALSE, distCritLabel = 0.425, cex.axis = 1, cex.label = 1, cex.crit = 1, cex.acc = 1, caption = "evidence strength", solutions = "solutions", distractors = "distractors", distLabelDistributions = 2.3, showAccuracy = TRUE, distAccLabel = 0.46) ```

## Arguments

 `x` An accuracy value (d') `y` The response criterion vector `showCriterion` Boolean. Should the criterion location be drawn? `labelCriterion` label response criterion with *c*; only has an effect if showCriterion is TRUE `distCritLabel` If the criterion label is displayed: how far top should it be (higher values move the label further away from the plot) `cex.axis` magnification of the decision variable axis (x-axis) values `cex.label` controls magnification of text size of x-axis label and "distractors" and "solutions" text `cex.acc` controls magnification the accuracy label `caption` label for decision variable axis (x-axis) `solutions` caption for solution distribution `distractors` caption for distractor distribution `distLabelDistributions` how away from the distribution plots should the labels for the distributions be (higher values move the label further away from the plot) `showAccuracy` Boolean - illustrate accuracy d'? `distAccLabel` If the accuracy value is displayed: how far top should it be (higher values move the label further away from the plot) `cex.label` controls magnification the text of the criterion labels

None

## Author(s)

Martin Papenberg martin.papenberg@hhu.de

m-Py/DOTA2 documentation built on May 19, 2019, 3 a.m.