Coalesce values in multiple columns by finding the first non-missing value at each position. Coalesced columns are removed.
Usage
coalesce_data(x, coalesce = list(), quiet = FALSE)Arguments
- x
A data frame.
- coalesce
A uniquely named list of character vectors where the names are the new column names and the values are the names of the columns to coalesce. If a single value is provided for a column it is treated as a regular expression.
- quiet
A flag specifying whether to provide messages.
Details
Coalescence is performed in the order specified in the coalesce argument such that a column produced by coalescence can be further coalesced.
Examples
data <- data.frame(x = c(1, NA, NA), y = c(NA, 3, NA), z = c(7, 8, 9), a = c(4, 5, 6))
coalesce_data(data, list(b = c("x", "y")), quiet = TRUE)
#> z a b
#> 1 7 4 1
#> 2 8 5 3
#> 3 9 6 NA
coalesce_data(data, list(z = c("y", "x"), d = c("z", "a")))
#> Coalesced 'z' from: 'y' and 'x'
#> Coalesced 'd' from: 'z' and 'a'
#> d
#> 1 1
#> 2 3
#> 3 6