plot.exametrika {exametrika} | R Documentation |
Plotting functions for the exametrika package of class "exametrika"
Description
The calculation results of the exametrika package have an exametrika class attribute. In addition, the class name of the analysis model is also assigned. The models are listed as follows: IRT, LCA, LRA, Biclustering, IRM, LDLRA, LDB, BINET. A plot is made for each model. Although the analysis results are visualized from various perspectives, they correspond by specifying the 'type' variable when plotting.
Usage
## S3 method for class 'exametrika'
plot(
x,
type = c("IIC", "ICC", "TIC", "IRP", "TRP", "LCD", "CMP", "FRP", "RMP", "LRD", "Array",
"FieldPIRP", "LDPSR"),
items = NULL,
students = NULL,
nc = 1,
nr = 1,
...
)
Arguments
x |
exametrika Class object |
type |
Plot type.The selectable type names are as follows: IIC, ICC, TIC, IRP, TRP, LCD, CMP, FRP, RMP, LRD, Array, FieldPRIP, LDPSR.
|
items |
Specify the items you want to plot as a vector. If not specifically designated, all items will be included.When the type is IIC, if the specified item is 0, it returns a TIC representing the entire test. |
students |
Specify the numbers of the students you want to plot as a vector. If not specifically designated, all students will be included. |
nc |
Specifying the number of columns when there are many plots to be drawn. The default is 1. |
nr |
Specifying the number of rows when there are many plots to be drawn. The default is 1. |
... |
other options |
Details
"IRT": Can only have types "ICC", "IIC", "TIC".
"LCA": Can only have types "IRP", "FRP", "TRP", "LCD", "CMP".
"LRA": Can only have types "IRP", "FRP", "TRP", "LRD", "RMP".
"Biclustering": Can only have types "IRP", "FRP", "LCD", "LRD", "CMP", "RMP", "Array".
"IRM": Can only have types "FRP", "TRP", "Array".
"LDLRA": Can only have types "IRP", "TRP", "LRD", "RMP".
"LDB": Can only have types "FRP", "TRP", "LRD", "RMP", "Array", "FieldPIRP".
"BINET": Can only have types "FRP", "TRP", "LRD", "RMP", "Array", "LDPSR".
Value
Produces different types of plots depending on the class of the input object and the specified type:
For IRT models: ICC (Item Characteristic Curves), IIC (Item Information Curves), or TIC (Test Information Curves)
For LCA/LRA models: IRP (Item Reference Profile), TRP (Test Reference Profile), LCD/LRD (Latent Class/Rank Distribution), CMP/RMP (Class/Rank Membership Profile)
For Biclustering/IRM models: Array plots showing clustering patterns
For LDLRA/LDB/BINET models: Various network and profile plots specific to each model
The function returns NULL invisibly.