genMiss: Generate missing data

In kgoldfeld/simstudy: Simulation of Study Data

Generate missing data

Description

Generate missing data

Usage

genMiss(
  dtName,
  missDefs,
  idvars,
  repeated = FALSE,
  periodvar = "period",
  envir = parent.frame()
)

Arguments

dtName	Name of complete data set
missDefs	Definitions of missingness
idvars	Index variables
repeated	Indicator for longitudinal data
periodvar	Name of variable that contains period
envir	parent.frame() by default, allows functionality with double-dot notation

Value

Missing data matrix indexed by idvars (and period if relevant)

See Also

defMiss, genObs

Examples

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

kgoldfeld/simstudy documentation built on April 14, 2024, 3:13 a.m.