gen_IRT_plot: Generate IRT plot(s)

In yuehmeir2/CATShinyModules: CATShinyModules

Description

The supported IRT plots include "Information", "CSEM", "Expected_Percent_Score", "Expected_Raw_Score".

Usage

gen_IRT_plot(
  data,
  IRT_fun = "Information",
  theta = c(-4, 4),
  IRTParCols,
  IRTModelCol,
  IRTScale = 1,
  groupByCol = NULL,
  colorByCol = NULL,
  showLegend = T,
  opacity = 0.6
)

Arguments

data	a data frame contains IRT parameters and categorical attributes.
IRT_fun	one or multiple IRT plot names, which could be "Information", "CSEM", "Expected_Percent_Score", or/and "Expected_Raw_Score".
theta	A vector of ability values
IRTParCols	A vector of colnames that have the columns required by the IRT model of choice.
IRTModelCol	A column that specifies the IRT model for each item. This can also be a single value, which will be recycled.
IRTScale	A vector of scaling parameters used in the IRT models. This can also be a single value, which will be recycled.
groupByCol	a column that groups the data for IRT functions and assigns plot colors
colorByCol	a column that uses for colors. To use colorByCol, the groupByCol must not be NULL and the number of unique values in groupByCol must be more than the number of unique values in colorByCol.

yuehmeir2/CATShinyModules documentation built on June 13, 2021, 7:02 p.m.