| data.tdcm {TDCM} | R Documentation |
Several data sets for the 'tdcm' package.
Description
Several data sets for the 'tdcm' package.
Usage
data.tdcm01
data.tdcm02
data.tdcm03
data.tdcm04
data.tdcm05
Format
data.tdcm01 is simulated sample data that has two time points, four
attributes, twenty items, one group of size 1000, and a single Q-matrix. The
format is a list of two:
-
data: a data frame of binary item responses -
q.matrix: a data frame specifying the Q-matrix
data.tdcm02 is simulated data that has three time points, two
attributes, ten items, one group of size 2500, and a single Q-matrix. The
format is a list of two:
-
data: a data frame of binary item responses -
q.matrix: a data frame specifying the Q-matrix
data.tdcm03 is simulated data that has three time points, two
attributes, one group of size 1500, and three different ten-item Q-matrices
for each time point. Anchor items are specified as items 1/1/21 and items
14/24. The format is a list of five:
-
data: a data frame of binary item responses -
q.matrix.1: a data frame specifying the Q-matrix for the first time point -
q.matrix.2: a data frame specifying the Q-matrix for the second time point -
q.matrix.3: a data frame specifying the Q-matrix for the third time point -
q.matrix.stacked: data frame specifying the combined Q-matrix for all time points
data.tdcm04 is simulated data that has two time points, four
attributes, twenty items, two group of size 800 and 900, respectively, and a
single Q-matrix. The format is a list of three:
-
data: a data frame of binary item responses -
q.matrix: a data frame specifying the Q-matrix -
groups: a vector specifying the examinee group memberships
data.tdcm05 is simulated data that has two has one time point, four
attributes, and twenty items. For use with the 1-PLCDM. The format is a list
of two:
-
data: a data frame of binary item responses -
q.matrix: a data frame specifying the Q-matrix
Examples
## Example 1: T = 2, A = 4
data(data.tdcm01, package = "TDCM")
data <- data.tdcm01$data
q.matrix <- data.tdcm01$q.matrix
model <- TDCM::tdcm(data, q.matrix, num.time.points = 2)