Simulated Multifaceted Data
Simulated data from multiple facets.
data(data.sim.mfr) data(data.sim.facets)
The format of data.sim.mfr
is: num [1:100, 1:5] 3 2 1 1 0 1 0 1 0 0 ...
- attr(*, "dimnames")=List of 2
..$ : chr [1:100] "V1" "V1.1" "V1.2" "V1.3" ...
..$ : NULL
The format of data.sim.facets
is: 'data.frame': 100 obs. of 3 variables:
$ rater : num 1 2 3 4 5 1 2 3 4 5 ...
$ topic : num 3 1 3 1 3 2 3 2 2 1 ...
$ female: num 2 2 1 2 1 1 2 1 2 1 ...
Simulated
####### # sim multi faceted Rasch model data(data.sim.mfr) data(data.sim.facets) # 1: A-matrix test_rater test_1_items <- TAM::.A.matrix( data.sim.mfr, formulaA=~rater, facets=data.sim.facets, constraint="items" ) test_1_cases <- TAM::.A.matrix( data.sim.mfr, formulaA=~rater, facets=data.sim.facets, constraint="cases" ) # 2: test_item+rater test_2_cases <- TAM::.A.matrix( data.sim.mfr, formulaA=~item+rater, facets=data.sim.facets, constraint="cases" ) # 3: test_item+rater+topic+ratertopic test_3_items <- TAM::.A.matrix( data.sim.mfr, formulaA=~item+rater*topic, facets=data.sim.facets, constraint="items" ) # conquest uses a different way of ordering the rows # these are the first few rows of the conquest design matrix # test_3_items$A[grep("item1([[:print:]])*topic1", rownames(test_3_items)),] # 4: test_item+step test_4_cases <- TAM::.A.matrix( data.sim.mfr, formulaA=~item+step, facets=data.sim.facets, constraint="cases" ) # 5: test_item+item:step test_5_cases <- TAM::.A.matrix( data.sim.mfr, formulaA=~item+item:step, facets=data.sim.facets, constraint="cases" ) test_5_cases$A[, grep("item1", colnames(test_5_cases)) ] # 5+x: more #=> 6: is this even well defined in the conquest-design output # (see test_item+topicstep_cases.cqc / .des) # regardless of the meaning of such a formula; # currently .A.matrix throws a warning # test_6_cases <- TAM::.A.matrix( data.sim.mfr, formulaA=~item+topic:step, # facets=data.sim.facets, constraint="cases" ) test_7_cases <- TAM::.A.matrix( data.sim.mfr, formulaA=~item+topic+topic:step, facets=data.sim.facets, constraint="cases" ) ## Not run: #=> 8: same as with 6 test_8_cases <- TAM::.A.matrix( data.sim.mfr, formulaA=~item+rater+item:rater:step, facets=data.sim.facets, constraint="cases" ) ## [1] "Can't proceed the estimation: Lower-order term is missing." test_9_cases <- TAM::.A.matrix( data.sim.mfr, formulaA=~item+step+rater+item:step+item:rater, facets=data.sim.facets, constraint="cases" ) test_10_cases <- TAM::.A.matrix( data.sim.mfr, formulaA=~item+female+item:female, facets=data.sim.facets, constraint="cases" ) ### All Design matrices test_1_cases <- TAM::designMatrices.mfr( data.sim.mfr, formulaA=~rater, facets=data.sim.facets, constraint="cases" ) test_4_cases <- TAM::designMatrices.mfr( data.sim.mfr, formulaA=~item+item:step, facets=data.sim.facets, constraint="cases" ) ### TAM test_4_cases <- TAM::tam.mml.mfr( data.sim.mfr, formulaA=~item+item:step ) test_tam <- TAM::tam.mml( data.sim.mfr ) test_1_cases <- TAM::tam.mml.mfr( data.sim.mfr, formulaA=~rater, facets=data.sim.facets, constraint="cases" ) test_2_cases <- TAM::tam.mml.mfr( data.sim.mfr, formulaA=~item+rater, facets=data.sim.facets, constraint="cases" ) ## End(Not run)
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