MissingDataProvider {charlatan} | R Documentation |
MissingDataProvider
Description
make missing data
Super class
charlatan::BareProvider
-> MissingDataProvider
Methods
Public methods
Inherited methods
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$randomize_nb_elements()
Method make_missing()
make missing data
Usage
MissingDataProvider$make_missing(x)
Arguments
x
a vector of characters, numeric, integers, logicals, etc
Details
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.
Method clone()
The objects of this class are cloneable with this method.
Usage
MissingDataProvider$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.
Examples
z <- MissingDataProvider$new()
z$make_missing(x = letters)
[Package charlatan version 0.6.1 Index]