node_profileplot: Panel-Generating Function for Visualizing IRT Tree Models
In psychotree: Recursive Partitioning Based on Psychometric Models

node_profileplot

R Documentation

Panel-Generating Function for Visualizing IRT Tree Models

Description

Panel-generating function for visualizing profiles (points and lines) of the parameters from the nodes in IRT tree models.

Usage

node_profileplot(
  mobobj,
  what = c("item", "coef", "threshold", "discrimination", "guessing", "upper"),
  parg = list(type = NULL, ref = NULL, alias = TRUE, logit = FALSE),
  id = TRUE,
  names = FALSE,
  abbreviate = TRUE,
  index = TRUE,
  ref = TRUE,
  col = "black",
  border = col,
  linecol = "black",
  refcol = "lightgray",
  bg = "white",
  cex = 0.5,
  pch = 21,
  xscale = NULL,
  yscale = NULL,
  ylines = 2,
  ...
)

Arguments

`mobobj`	an object of class `"npltree"` or class `"mob"` fitted by `npltree`
`what`	specifying the type of parameters to be plotted
`parg`	supplementary arguments for `"what"`
`id`	logical. Should the node ID be displayed?
`names`	logical or character. If `TRUE`, the names of the items are displayed on the x-axis. If `FALSE`, numbers of items are shown. Alternatively a character vector of the same length as the number of items can be supplied.
`abbreviate`	logical. Should item names be abbreviated? If numeric this controls the length of the abbreviation.
`index`	logical. Should different indexes for different items be used?
`ref`	logical. Should a horizontal line for the reference level be drawn?
`col`, `border`, `pch`, `cex`	graphical appearance of plotting symbols.
`linecol`, `refcol`	character, specifying the line color to use for the profile lines and reference line, respectively.
`bg`	color for background filling.
`xscale`, `yscale`	x and y axis limits.
`ylines`	numeric. Number of lines used for y-axis labels.
`...`	further arguments currently not used.

Details

The panel-generating function node_regionplot is called by the plot method of "gpcmtree" object by default and does not have to be called by the user directly. See regionplot for details and references of the drawn region plots and possible values and their meaning for the argument type (taken by node_regionplot).