TAM Package — data.examples" />

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)

Format

  • 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 ...

See also

These examples are used in the tam.mml Examples.