LazyLinkedTables {GaussSuppression} | R Documentation |
GaussSuppressionFromData
iterationsAdditionalSuppression
is called several times as in ChainedSuppression
LazyLinkedTables(..., withinArg = NULL, maxIterLinked = 1000)
... |
Arguments to |
withinArg |
A list of named lists. Arguments to |
maxIterLinked |
Maximum number of |
This function is created as a spin-off from AdditionalSuppression
and ChainedSuppression
.
The calculations run GaussSuppressionFromData
from the input each time.
There is no doubt that this can be done more efficiently.
A consequence of this lazy implementation is that, in output, primary
and suppressed
are identical.
Note that there is a residual risk when suppression linked tables by iterations.
List of data frames
In this function, the parameters makeForced
and forceNotPrimary
to AdditionalSuppression
are forced to be FALSE
.
z1 <- SSBtoolsData("z1")
z2 <- SSBtoolsData("z2")
z2b <- z2[3:5] # As in ChainedSuppression example
names(z2b)[1] <- "region"
# The two region hierarchies as two linked tables
a <- LazyLinkedTables(z2, freqVar = 5, withinArg = list(
list(dimVar = c(1, 2, 4)),
list(dimVar = c(1, 3, 4))))
# As 'f' and 'e' in ChainedSuppression example.
# 'A' 'annet'/'arbeid' suppressed in b[[1]], since suppressed in b[[3]].
b <- LazyLinkedTables(withinArg = list(
list(data = z1, dimVar = 1:2, freqVar = 3, maxN = 5),
list(data = z2b, dimVar = 1:2, freqVar = 3, maxN = 5),
list(data = z2, dimVar = 1:4, freqVar = 5, maxN = 1)))