Synthetic data is generated from an existing data set
genSynthetic(dtFrom, n = nrow(dtFrom), vars = NULL, id = "id")Data table that contains the source data
Number of samples to draw from the source data. The default is number of records that are in the source data file.
A vector of string names specifying the fields that will be sampled. The default is that all variables will be selected.
A string specifying the field that serves as the record id. The default field is "id".
A data table with the generated data
### Create fake "real" data set
d <- defData(varname = "a", formula = 3, variance = 1, dist = "normal")
d <- defData(d, varname = "b", formula = 5, dist = "poisson")
d <- defData(d, varname = "c", formula = 0.3, dist = "binary")
d <- defData(d, varname = "d", formula = "a + b + 3*c", variance = 2, dist = "normal")
A <- genData(100, d, id = "index")
### Create synthetic data set from "observed" data set A:
def <- defDataAdd(varname = "x", formula = "2*b + 2*d", variance = 2)
S <- genSynthetic(dtFrom = A, n = 120, vars = c("b", "d"), id = "index")
S <- addColumns(def, S)