Datasets data.ex in TAM Package
Datasets included in the TAM package
data(data.ex08) data(data.ex10) data(data.ex11) data(data.ex12) data(data.ex14) data(data.ex15) data(data.exJ03)
Data data.ex08 for Example 8 in tam.mml
has the following format:
List of 2 $ facets:'data.frame': 1000 obs. of 1 variable: ..$ female: int [1:1000] 1 1 1 1 1 1 1 1 1 1 ... $ resp : num [1:1000, 1:10] 1 1 1 0 1 0 1 1 0 1 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : NULL .. ..$ : chr [1:10] "I0001" "I0002" "I0003" "I0004" ...
Data data.ex10 for Example 10 in tam.mml
has the following format:
'data.frame': 675 obs. of 7 variables: $ pid : int 1 1 1 2 2 3 3 4 4 5 ... $ rater: int 1 2 3 2 3 1 2 1 3 1 ... $ I0001: num 0 1 1 1 1 1 1 1 1 1 ... $ I0002: num 1 1 1 1 1 0 1 1 1 1 ... $ I0003: num 1 1 1 1 0 0 0 1 0 1 ... $ I0004: num 0 1 0 0 1 0 1 0 1 0 ... $ I0005: num 0 0 1 1 1 0 0 1 0 1 ...
Data data.ex11 for Example 11 in tam.mml
has the following format:
'data.frame': 3400 obs. of 13 variables: $ booklet: chr "B1" "B1" "B3" "B2" ... $ M133 : int 1 1 NA 1 NA 1 NA 1 0 1 ... $ M176 : int 1 0 1 NA 0 0 0 NA NA NA ... $ M202 : int NA NA NA 0 NA NA NA 0 0 0 ... $ M212 : int NA NA 1 0 0 NA 0 1 0 0 ... $ M214 : int 1 0 1 1 0 0 0 0 1 0 ... $ M259 : int NA NA 1 1 1 NA 1 1 1 1 ... $ M303 : int NA NA 1 1 1 NA 1 1 1 0 ... $ M353 : int NA NA NA 1 NA NA NA 1 1 9 ... $ M355 : int NA NA NA 1 NA NA NA 1 1 0 ... $ M444 : int 0 0 0 NA 0 0 0 NA NA NA ... $ M446 : int 1 0 0 1 0 1 1 1 0 0 ... $ M449 : int NA NA NA 1 NA NA NA 1 1 1 ...
Missing responses by design are coded as NA, omitted
responses are coded as 9.
Data data.ex12 for Example 12 in tam.mml
has the following format:
num [1:100, 1:10] 1 1 1 1 1 1 1 1 1 1 ... - attr(*, "dimnames")=List of 2 ..$ : NULL ..$ : chr [1:10] "I0001" "I0002" "I0003" "I0004" ...
Data data.ex14 for Example 14 in tam.mml
has the following format:
'data.frame': 1110 obs. of 11 variables: $ pid : num 1001 1001 1001 1001 1001 ... $ X1 : num 1 1 1 1 1 1 0 0 0 0 ... $ X2 : int 1 1 1 1 1 1 1 1 1 1 ... $ rater: int 4 4 4 4 4 4 4 4 4 4 ... $ crit1: int 0 0 2 1 1 2 0 0 0 0 ... $ crit2: int 0 0 0 0 0 0 0 0 0 0 ... $ crit3: int 0 1 1 0 0 1 0 0 1 0 ... $ crit4: int 0 0 0 1 0 0 0 0 0 0 ... $ crit5: int 0 0 0 0 1 1 0 0 0 0 ... $ crit6: int 0 0 0 0 1 0 0 0 0 0 ... $ crit7: int 1 0 2 0 0 0 0 0 0 0 ...
Data data.ex15 for Example 15 in tam.mml
has the following format:
'data.frame': 2155 obs. of 182 variables: $ pid : num 10001 10002 10003 10004 10005 ... $ group : num 1 1 0 0 1 0 1 0 1 1 ... $ Item001: num 0 NA NA 0 NA NA NA 0 0 NA ... $ Item002: num 1 NA NA 1 NA NA NA NA 1 NA ... $ Item003: num NA NA NA NA 1 NA NA NA NA 1 ... $ Item004: num NA NA 0 NA NA NA NA NA NA NA ... $ Item005: num NA NA 1 NA NA NA NA NA NA NA ... [...]
This dataset shows an atypical convergence behavior. Look at Example 15
to fix convergence problems using arguments increment.factor and
fac.oldxsi.
Data data.exJ03 for Example 4 in tam.jml
has the following format:
List of 2 $ resp:'data.frame': 40 obs. of 20 variables: ..$ I104: int [1:40] 4 5 6 5 3 4 3 5 4 6 ... ..$ I118: int [1:40] 6 4 6 5 3 2 5 3 5 4 ... [...]
..$ I326: int [1:40] 6 1 5 1 4 2 4 1 6 1 ... ..$ I338: int [1:40] 6 2 6 1 6 2 4 1 6 1 ... $ X :'data.frame': 40 obs. of 4 variables: ..$ rater : int [1:40] 40 40 96 96 123 123 157 157 164 164 ... ..$ gender: int [1:40] 2 2 1 1 1 1 2 2 2 2 ... ..$ region: num [1:40] 1 1 1 1 2 2 1 1 1 1 ... ..$ leader: int [1:40] 1 2 1 2 1 2 1 2 1 2 ...
It is a rating dataset (a subset of a dataset provided by Matt Barney).
Data data.ex16 contains dichotomous item response data from
three studies corresponding to three grades.
'data.frame': 3235 obs. of 25 variables: $ idstud: num 1e+05 1e+05 1e+05 1e+05 1e+05 ... $ grade : num 1 1 1 1 1 1 1 1 1 1 ... $ A1 : int 1 1 1 1 1 1 1 1 1 1 ... $ B1 : int 1 1 1 1 1 1 1 1 1 1 ... $ C1 : int 1 1 1 1 1 1 1 1 1 1 ... $ D1 : int 1 1 1 1 1 1 1 1 1 1 ... $ E1 : int 0 0 1 0 1 1 1 0 1 1 ... $ E2 : int 1 1 1 1 1 1 1 0 1 1 ... $ E3 : int 1 1 1 1 1 1 1 0 1 1 ... $ F1 : int 1 0 1 1 0 0 1 0 1 1 ... $ G1 : int 0 1 1 1 1 0 1 0 1 1 ... $ G2 : int 1 1 1 1 1 0 0 0 1 1 ... $ G3 : int 1 0 1 1 1 0 0 0 1 1 ... $ H1 : int 1 0 1 1 1 0 0 0 1 1 ... $ H2 : int 1 0 1 1 1 0 0 0 1 1 ... $ I1 : int 1 0 1 0 1 0 0 0 1 1 ... $ I2 : int 1 0 1 0 1 0 0 0 1 1 ... $ J1 : int NA NA NA NA NA NA NA NA NA NA ... $ K1 : int NA NA NA NA NA NA NA NA NA NA ... $ L1 : int NA NA NA NA NA NA NA NA NA NA ... $ L2 : int NA NA NA NA NA NA NA NA NA NA ... $ L3 : int NA NA NA NA NA NA NA NA NA NA ... $ M1 : int NA NA NA NA NA NA NA NA NA NA ... $ M2 : int NA NA NA NA NA NA NA NA NA NA ... $ M3 : int NA NA NA NA NA NA NA NA NA NA ...
Data data.ex17 contains polytomous item response data from
three studies corresponding to three grades.
'data.frame': 3235 obs. of 15 variables: $ idstud: num 1e+05 1e+05 1e+05 1e+05 1e+05 ... $ grade : num 1 1 1 1 1 1 1 1 1 1 ... $ A : int 1 1 1 1 1 1 1 1 1 1 ... $ B : int 1 1 1 1 1 1 1 1 1 1 ... $ C : int 1 1 1 1 1 1 1 1 1 1 ... $ D : int 1 1 1 1 1 1 1 1 1 1 ... $ E : num 2 2 3 2 3 3 3 0 3 3 ... $ F : int 1 0 1 1 0 0 1 0 1 1 ... $ G : num 2 2 3 3 3 0 1 0 3 3 ... $ H : num 2 0 2 2 2 0 0 0 2 2 ... $ I : num 2 0 2 0 2 0 0 0 2 2 ... $ J : int NA NA NA NA NA NA NA NA NA NA ... $ K : int NA NA NA NA NA NA NA NA NA NA ... $ L : num NA NA NA NA NA NA NA NA NA NA ... $ M : num NA NA NA NA NA NA NA NA NA NA ...
These examples are used in the tam.mml Examples.
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