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make missing data
charlatan::BareProvider
-> MissingDataProvider
charlatan::BareProvider$bothify()
charlatan::BareProvider$lexify()
charlatan::BareProvider$numerify()
charlatan::BareProvider$print()
charlatan::BareProvider$random_digit()
charlatan::BareProvider$random_digit_not_zero()
charlatan::BareProvider$random_digit_not_zero_or_empty()
charlatan::BareProvider$random_digit_or_empty()
charlatan::BareProvider$random_element()
charlatan::BareProvider$random_element_prob()
charlatan::BareProvider$random_int()
charlatan::BareProvider$random_letter()
charlatan::BareProvider$randomize_nb_elements()
make_missing()
make missing data
MissingDataProvider$make_missing(x)
x
a vector of characters, numeric, integers, logicals, etc
This method picks a random number (N
) of slots in
the input vector x
(up to length(x)
). Then picks N
random
positions and replaces them with NA matching the input class.
clone()
The objects of this class are cloneable with this method.
MissingDataProvider$clone(deep = FALSE)
deep
Whether to make a deep clone.
z <- MissingDataProvider$new()
z$make_missing(x = letters)
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