error.check {pleLMA}

Checks for basic errors in input to the 'ple.lma' function

Description

This functions looks at the input to the main function (ple.lma) and checks for 11 different possible errors. If an error is detected, the function issues a warning and stops any further execution. This funcion is internal to 'ple.lma' but can be used outside of the wrapper function.

Usage

error.check(inData, model.type, inTraitAdj = NULL, inItemTraitAdj = NULL)

Arguments

inData

Data frame with columns corresponding to categorical variables and rows to the number of cases

model.type

Type of model that will be fit to data

inTraitAdj

Trait x Trait adjacency matrix (not required for independence)

inItemTraitAdj

Item x Trait adjacency matrix (not required for independence)

Value

Message whether error was detected in input, and if so the nature of the error

Examples

 #--- some data
 data(dass)
 inData <- dass[1:250,c("d1", "d2", "d3", "a1","a2","a3","s1","s2","s3")]

 #--- no errors
 error.check(inData, model.type="independence")

 #--- for unidimensional
 inTraitAdj  <- matrix(1, nrow=1, ncol=1)
 inItemTraitAdj <- matrix(1, nrow=9, ncol=1)

 #--- no errors
 error.check(inData, model.type="rasch", inTraitAdj, inItemTraitAdj)
 error.check(inData, model.type="gpcm", inTraitAdj, inItemTraitAdj)
 error.check(inData, model.type="nominal", inTraitAdj, inItemTraitAdj)