coalesce: Find first non-missing element

Description Usage Arguments Value See Also Examples

View source: R/coalesce.R

Description

Given a set of vectors, coalesce() finds the first non-missing value at each position. This is inspired by the SQL COALESCE function which does the same thing for NULLs.

Usage

1

Arguments

...

<dynamic-dots> Vectors. Inputs should be recyclable (either be length 1 or same length as the longest vector) and coercible to a common type. If data frames, they are coalesced column by column.

Value

A vector the same length as the first ... argument with missing values replaced by the first non-missing value.

See Also

na_if() to replace specified values with a NA. tidyr::replace_na() to replace NA with a value

Examples

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# Use a single value to replace all missing values
x <- sample(c(1:5, NA, NA, NA))
coalesce(x, 0L)

# Or match together a complete vector from missing pieces
y <- c(1, 2, NA, NA, 5)
z <- c(NA, NA, 3, 4, 5)
coalesce(y, z)

# Supply lists by with dynamic dots
vecs <- list(
  c(1, 2, NA, NA, 5),
  c(NA, NA, 3, 4, 5)
)
coalesce(!!!vecs)

Example output

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

[1] 0 5 0 1 0 3 4 2
[1] 1 2 3 4 5
[1] 1 2 3 4 5

dplyr documentation built on June 19, 2021, 1:07 a.m.