simstudy (version 0.7.0)

genMiss: Generate missing data

Description

Generate missing data

Usage

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

Value

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

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

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