Simulate data set that is one level down in a multilevel data context. The level "2" data set must contain a field that specifies the number of individual records in a particular cluster.
genCluster(dtClust, cLevelVar, numIndsVar, level1ID, allLevel2 = TRUE)Name of existing data set that contains the level "2" data
Variable name (string) of cluster id in dtClust
Variable name (string) of number of observations per cluster in dtClust. Can also be a single integer value that will be used for all clusters.
Name of id field in new level "1" data set
Indicator: if set to TRUE (default), the returned data set includes all of the Level 2 data columns. If FALSE, the returned data set only includes the Levels 1 and 2 ids.
A simulated data table with level "1" data
gen.school <- defData(
varname = "s0", dist = "normal",
formula = 0, variance = 3, id = "idSchool"
)
gen.school <- defData(gen.school,
varname = "nClasses",
dist = "noZeroPoisson", formula = 3
)
dtSchool <- genData(3, gen.school) #'
dtSchool
#> Key: <idSchool>
#> idSchool s0 nClasses
#> <int> <num> <num>
#> 1: 1 -2.47606482 3
#> 2: 2 -0.68211482 3
#> 3: 3 0.02383165 4
dtClass <- genCluster(dtSchool,
cLevelVar = "idSchool",
numIndsVar = "nClasses", level1ID = "idClass"
)
dtClass
#> Key: <idClass>
#> idSchool s0 nClasses idClass
#> <int> <num> <num> <int>
#> 1: 1 -2.47606482 3 1
#> 2: 1 -2.47606482 3 2
#> 3: 1 -2.47606482 3 3
#> 4: 2 -0.68211482 3 4
#> 5: 2 -0.68211482 3 5
#> 6: 2 -0.68211482 3 6
#> 7: 3 0.02383165 4 7
#> 8: 3 0.02383165 4 8
#> 9: 3 0.02383165 4 9
#> 10: 3 0.02383165 4 10
dtClass <- genCluster(dtSchool,
cLevelVar = "idSchool",
numIndsVar = 3, level1ID = "idClass"
)
dtClass
#> Key: <idClass>
#> idSchool s0 nClasses idClass
#> <int> <num> <num> <int>
#> 1: 1 -2.47606482 3 1
#> 2: 1 -2.47606482 3 2
#> 3: 1 -2.47606482 3 3
#> 4: 2 -0.68211482 3 4
#> 5: 2 -0.68211482 3 5
#> 6: 2 -0.68211482 3 6
#> 7: 3 0.02383165 4 7
#> 8: 3 0.02383165 4 8
#> 9: 3 0.02383165 4 9