Generating a tuple representation of a data.frame with imprecise observations
a data.frame object, with potentially imprecise entries; see 'Note'.
a list of so-called logical constraints or
fixed zeros. Each element must be an object of class
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
contains imprecise observations or is in the form for denoting
imprecision throughoutly used in the impimp-package. A warning is
triggered if it is not of class
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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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