plot_criterion: Plot the response criterion by option position, possibly...
In m-Py/DOTA2: Discrete option test analysis

Description Usage Arguments

Plot the response criterion by option position, possibly using a grouping variable (can also be used to plot any other values in dependence of option position and acceptance reluctance)

plot_criterion(tab, ylim = c(-1, 1), txt.cords = list(c(1, 0.3), c(2.8,
  0.35)), xlab = "Position of answer", ylab = "Response criterion c",
  labelCriterion = TRUE, add = FALSE, lty = 1, lwd = 1.3,
  plotNeutral = TRUE, cex = 1.4, err.bar = NULL, type = "b",
  txt = colnames(tab), labelx = TRUE, dev = 0.07, main = "",
  lwd_arrow = 1, xlim = c(1, nrow(tab)), cex.lab = 1, cex.axis = 1,
  german = FALSE, cex_crit_label = 1, cex_factors = 1)

`tab`	A data table with rows = criterion by position (row 1: criterion for option 1) and columns distinguishing different levels of grouping factor
`ylim`	Limits of y-axis
`txt.cords`	A 'list', containing two vectors of x and y coordinates specifying where the factor level descriptions are printed
`xlab`	Label of the x-axis
`ylab`	Label of the y-axis
`labelCriterion`	boolean value, if 'TRUE', on the right axis the response criterion is labeled as "conservative", "neutral", and "liberal"
`add`	Boolean. Should the data be drawn into an existing plot?
`lty`	the type of the lines drawn
`lwd`	the width of the lines drawn
`plotNeutral`	Boolean. Should a horizontal line at y=0 be drawn to illustrate a neutral response criterion?
`cex`	the size of the dots
`err.bar`	If the error bars should be plotted, pass a table of the same dimension as 'tab'. Each entry is the length of the error bar to each side of the point (i.e.: the value should be half of the width of the confidence interval if a confidence interval is to be plotted)
`type`	The type of plot, see '?plot'
`txt`	A vector of text describing the levels of the grouping variable
`labelx`	Vector to label the ticks on the x-axis
`dev`	A single value indicating the margin by which data points on the same x-axis point should be separated to better illustrate different grouping points
`main`	The caption of the plot
`lwd_arrow`	The thickness of the arrow illustrating liberal vs. conservative responses
`cex.lab`	See ?par
`cex.axis`	see ?par
`german`	German labels for criterion?
`cex_crit_label`	Size of criterion label
`cex_factors`	Size of the label of the factors (in the plot, not on axis)