MissingDataProvider: MissingDataProvider

In ropensci/charlatan: Make Fake Data

MissingDataProvider

Description

make missing data

Super class

charlatan::BareProvider -> MissingDataProvider

Methods

Public methods

• MissingDataProvider$make_missing()

• MissingDataProvider$clone()

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()

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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.

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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)

ropensci/charlatan documentation built on Oct. 24, 2023, 9:15 a.m.