Description Usage Arguments Value See Also Examples

Create an observed data set that includes missing data

1 | ```
genObs(dtName, dtMiss, idvars)
``` |

`dtName` |
Name of complete data set |

`dtMiss` |
Name of missing data matrix |

`idvars` |
Index variables that cannot be missing |

A data table that represents observed data, including missing data

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ```
def1 <- defData(varname = "m", dist = "binary", formula = .5)
def1 <- defData(def1, "u", dist = "binary", formula = .5)
def1 <- defData(def1, "x1", dist="normal", formula = "20*m + 20*u", variance = 2)
def1 <- defData(def1, "x2", dist="normal", formula = "20*m + 20*u", variance = 2)
def1 <- defData(def1, "x3", dist="normal", formula = "20*m + 20*u", variance = 2)
dtAct <- genData(1000, def1)
defM <- defMiss(varname = "x1", formula = .15, logit.link = FALSE)
defM <- defMiss(defM, varname = "x2", formula = ".05 + m * 0.25", logit.link = FALSE)
defM <- defMiss(defM, varname = "x3", formula = ".05 + u * 0.25", logit.link = FALSE)
defM <- defMiss(defM, varname = "u", formula = 1, logit.link = FALSE) # not observed
defM
# Generate missing data matrix
missMat <- genMiss(dtAct, defM, idvars = "id")
missMat
# Generate observed data from actual data and missing data matrix
dtObs <- genObs(dtAct, missMat, idvars = "id")
dtObs
``` |

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