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

## Description

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)

## Usage

 ```1 2 3 4 5 6 7``` ```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) ```

## Arguments

 `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)

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