Shuffler.RdCreate new Shuffler object
Update minimum vector size for shuffling
Apply the deidentifcation method to the supplied keys
Convert self to a list.
[optional] A function representing the method of re-sampling to be used. By default uses exhaustive sampling without replacement.
Value(s) to be transformed.
Value(s) to concatenate to keys and transform
@inheritParams Pseudonymizer
integer - the minimum number of observations a variable needs to
have for shuffling to be performed. If the variable has length less than limit
values are replaced with NAs.
'Shuffling' refers to the a random sampling of a variable without replacement e.g. [A, B, C] becoming [B, A, C] but not [A, A, B]. Shuffling will preserve top level metrics (e.g. mean, median, mode) but removes ordinal properties i.e. correlations and auto-correlations
limitminimum vector length to be shuffled. If vector to be transformed has length < limit, the data is replaced with NAs