Description Usage Arguments Value See Also Examples

Add single row to definitions table for missing data

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`dtDefs` |
Definition data.table to be modified |

`varname` |
Name of variable with missingness |

`formula` |
Formula to describe pattern of missingness |

`logit.link` |
Indicator set to TRUE when the probability of missingness is based on a logit model. |

`baseline` |
Indicator is set to TRUE if the variable is a baseline measure and should be missing throughout an entire observation period. This is applicable to repeated measures/longitudinal data. |

`monotonic` |
Indicator set to TRUE if missingness at time t is followed by missingness at all follow-up times > t. |

A data.table named dtName that is an updated data definitions table

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(dtName = dtAct, missDefs = 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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