fill_all: Fill All Values

In extras: Helper Functions for Bayesian Analyses

Fill All Values

Description

Fills all of an object's (missing and non-missing) values while preserving the object's dimensionality and class.

Usage

fill_all(x, value, ...)

## S3 method for class 'logical'
fill_all(x, value = FALSE, nas = TRUE, ...)

## S3 method for class 'integer'
fill_all(x, value = 0L, nas = TRUE, ...)

## S3 method for class 'numeric'
fill_all(x, value = 0, nas = TRUE, ...)

## S3 method for class 'character'
fill_all(x, value = "0", nas = TRUE, ...)

Arguments

x	An object.
value	A scalar of the value to replace values with.
...	Other arguments passed to methods.
nas	A flag specifying whether to also fill missing values.

Details

It should only be defined for objects with values of consistent class ie not standard data.frames.

Value

The modified object.

Methods (by class)

• fill_all(logical): Fill All for logical Objects

• fill_all(integer): Fill All for integer Objects

• fill_all(numeric): Fill All for numeric Objects

• fill_all(character): Fill All for character Objects

See Also

Other fill: fill_na()

Examples

# logical
fill_all(c(TRUE, NA, FALSE))
fill_all(c(TRUE, NA, FALSE, nas = FALSE))
fill_all(c(TRUE, NA, FALSE, value = NA))

# integer
fill_all(matrix(1:4, nrow = 2), value = -1)

# numeric
fill_all(c(1, 4, NA), value = TRUE)
fill_all(c(1, 4, NA), value = TRUE, nas = FALSE)

# character
fill_all(c("some", "words"), value = TRUE)

extras documentation built on May 31, 2023, 6:22 p.m.