Description Usage Arguments Details Value Note See Also Examples
Generating a tuple representation of a data.frame with imprecise observations
1  generateTupelData(data, constraints = NULL)

data 
a data.frame object, with potentially imprecise entries; see 'Note'. 
constraints 
a list of socalled logical constraints or
fixed zeros. Each element must be an object of class

By specifying constraints
one can exlude combinations of
imputed values which are deemed impossible, so called
‘logical constraints’ or ‘fixed zeros’.
A list of length NROW(data)
of data.frames
for the observation within the original data.frame.
Each such data.frame contains the precise observations which are compatible with its imprecise representation.
No sanity check is performed on whether data
actually
contains imprecise observations or is in the form for denoting
imprecision throughoutly used in the impimppackage. A warning is
triggered if it is not of class "impimp"
.
impimp
, impimp_event
for
sepcifying the constraints
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15  A < data.frame(x1 = c(1,0), x2 = c(0,0),
y1 = c(1,0), y2 = c(2,2))
B < data.frame(x1 = c(1,1,0), x2 = c(0,0,0),
z1 = c(0,1,1), z2 = c(0,1,2))
AimpB < impimp(A, B, method = "domain")
## no constraints
generateTupelData(AimpB)
## (y1,z1) = (0,0) as constraint
generateTupelData(AimpB, list(impimp_event(y1 = 0, z1 = 0)))
data(iris)
generateTupelData(iris) # emits a warning

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