plot_morbist: Plot the parameters characterizing the MORBIST model

Description Usage Arguments Value Author(s)

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

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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

Value

None

Author(s)

Martin Papenberg martin.papenberg@hhu.de


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