monotone.pattern: Transform data with nonmontone pattern to monotone pattern...

In mcl868/causalinmisdata: Causal inference in missing data

Transform data with nonmontone pattern to monotone pattern with missing observations

Usage

monotone.pattern(measurements, dataset, id=NULL, transform=TRUE, threshold=0.05, ...)

Arguments

measurements	The ordered sequence of the variables of the interest including the outcome.
data	Data.
id	If data variable of id.
transform	If it is equal to TRUE* then all records following a nonmontone are set to follow a monotone pattern. *If it is equal to FALSE* then all records following a nonmontone are remain the same.
threshold	Remove pattern of from the monoene missingness if the percent of specific records is below the threshold
...

Value

data	Data.
transformnb	Contain the position of the record in data if the record follows a nonmontone pattern. (If transform=TRUE).
tableC	The number of the observed variables in integers. See the function **missing.pattern**. (If transform=TRUE).
tableCpercent	The percent of the observed variables. (If transform=TRUE).
threshold	The value of the threshold. (If transform=TRUE).
datasetredu	The records are removed from data if there are to few records of a specific pattern below the threshold. (If transform=TRUE).
tableCredu	The number of the observed variables in integers for the reduced data. See the function **missing.pattern**. (If *transform=TRUE*).
tableCpercentredu	The percent of the observed variables for the reduced data. (If transform=TRUE).
nonmonotone	Contain the position of the record in data if the record follows a nonmontone pattern. (If transform=FALSE)

Author(s)

Thomas Maltesen [e-mail]

See Also

See also DatawMis.

Examples

## Not run: 
DataSetnonMonotone.extra<-
lapply(1:loop,function(iiii)
       monotone.pattern(measurements=c("L0","A0","L1","A1","L2","A2","Y"),
                        data=DataSetnonMonotone[[iiii]],
                        id=NULL,
                        transform=TRUE,
                        threshold=0.05))

listMean(lapply(1:loop,function(iiii)length(DataSetnonMonotone.extra[[iiii]]$transformnb)))
  926.57

## End(Not run)

mcl868/causalinmisdata documentation built on March 5, 2024, 8:22 a.m.