Qval (version 1.2.3)

print: Print Methods for Various Objects

Description

Print concise, user-friendly summaries of objects generated by the Qval package. Supports objects of classes CDM, validation, sim.data, fit, as well as their corresponding summary objects.

Usage

# S3 method for CDM
print(x, ...)
# S3 method for validation
print(x, ...)
# S3 method for sim.data
print(x, ...)
# S3 method for fit
print(x, ...)
# S3 method for summary.CDM
print(x, ...)
# S3 method for summary.validation
print(x, ...)
# S3 method for summary.sim.data
print(x, ...)
# S3 method for summary.fit
print(x, ...)

Value

Invisibly returns x.

Arguments

x

An object of the appropriate class (e.g., CDM, validation, sim.data, fit, or their summaries).

...

Currently unused. Additional arguments are ignored.

Methods (by class)

• print(CDM): Print method for CDM objects

• print(validation): Print method for validation objects

• print(sim.data): Print method for sim.data objects

• print(fit): Print method for fit objects

• print(summary.CDM): Print method for summary.CDM objects

• print(summary.validation): Print method for summary.validation objects

• print(summary.sim.data): Print method for summary.sim.data objects

• print(summary.fit): Print method for summary.fit objects

Details

The print methods provide an at-a-glance view of key information:

print.CDM

displays sample size, item and attribute counts, and package information.

print.validation

shows suggested modifications to the Q-matrix, marking changed entries with an asterisk.

print.sim.data

reports dimensions of simulated data and offers guidance on extraction.

print.fit

show basic fit indices.

print.summary.CDM

prints fitted model details and alpha-pattern distribution from a summary.CDM object.

print.summary.validation

prints suggested Q-matrix changes or a message if none are recommended.

print.summary.sim.data

prints attribute-pattern frequencies and proportions from summary.sim.data.

print.summary.fit

prints basic fit indices from summary.fit.

Examples

set.seed(123)
library(Qval)

# \donttest{
################################################################
# Example 1: print a CDM object                                #
################################################################
Q <- sim.Q(3, 20)
IQ <- list(P0 = runif(20, 0.0, 0.2), P1 = runif(20, 0.8, 1.0))
data.obj <- sim.data(Q = Q, N = 500, IQ = IQ, 
                     model = "GDINA", distribute = "horder")
CDM.obj <- CDM(data.obj$dat, Q, model = "GDINA", 
               method = "EM", maxitr = 2000, verbose = 1)
print(CDM.obj)


################################################################
# Example 2: print a validation object                         #
################################################################
set.seed(123)
MQ <- sim.MQ(Q, 0.1)
CDM.obj <- CDM(data.obj$dat, MQ)
validation.obj <- validation(data.obj$dat, MQ, CDM.obj, 
                             method = "GDI")
print(validation.obj)


################################################################
# Example 3: print a sim.data object                           #
################################################################
set.seed(123)
Q2 <- sim.Q(3, 10)
data.obj2 <- sim.data(Q = Q2, N = 1000)
print(data.obj2)


################################################################
# Example 4: print a fit object                           #
################################################################
set.seed(123)
Q2 <- sim.Q(3, 10)
fit.obj <- fit(Y = data.obj$dat, Q = Q, model = "GDINA")
print(fit.obj)


################################################################
# Example 5: print summary objects                             #
################################################################
summary.CDM.obj <- summary(CDM.obj)
print(summary.CDM.obj)

summary.val.obj <- summary(validation.obj)
print(summary.val.obj)

summary.sim.obj <- summary(data.obj2)
print(summary.sim.obj)

summary.fit <- summary(fit.obj)
print(summary.fit)
# }