Recode values

This is a vectorised version of switch(): you can replace numeric values based on their position, and character values by their name. This is an S3 generic: dplyr provides methods for numeric, character, and factors. For logical vectors, use if_else

recode(.x, ..., .default = NULL, .missing = NULL)

recode_factor(.x, ..., .default = NULL, .missing = NULL, .ordered = FALSE)


A vector to modify


Replacments. These should be named for character and factor .x, and can be named for numeric .x.

All replacements must be the same type, and must have either length one or the same length as x.


If supplied, all values not otherwise matched will be given this value. If not supplied and if the replacements are the same type as the original values in .x, unmatched values are not changed. If not supplied and if the replacements are not compatible, unmatched values are replaced with NA. .default must be either length 1 or the same length as .x.


If supplied, any missing values in .x will be replaced by this value. Must be either length 1 or the same length as .x.


If TRUE, recode_factor() creates an ordered factor.


A vector the same length as .x, and the same type as the first of ..., .default, or .missing. recode_factor() returns a factor whose levels are in the same order as in ....

  • recode
  • recode_factor
library(dplyr) # Recode values with named arguments x <- sample(c("a", "b", "c"), 10, replace = TRUE) recode(x, a = "Apple") recode(x, a = "Apple", .default = NA_character_) # Named arguments also work with numeric values x <- c(1:5, NA) recode(x, `2` = 20L, `4` = 40L) # Note that if the replacements are not compatible with .x, # unmatched values are replaced by NA and a warning is issued. recode(x, `2` = "b", `4` = "d") # If you don't name the arguments, recode() matches by position recode(x, "a", "b", "c") recode(x, "a", "b", "c", .default = "other") recode(x, "a", "b", "c", .default = "other", .missing = "missing") # Supply default with levels() for factors x <- factor(c("a", "b", "c")) recode(x, a = "Apple", .default = levels(x)) # Use recode_factor() to create factors with levels ordered as they # appear in the recode call. The levels in .default and .missing # come last. x <- c(1:4, NA) recode_factor(x, `1` = "z", `2` = "y", `3` = "x") recode_factor(x, `1` = "z", `2` = "y", .default = "D") recode_factor(x, `1` = "z", `2` = "y", .default = "D", .missing = "M") # When the input vector is a compatible vector (character vector or # factor), it is reused as default. recode_factor(letters[1:3], b = "z", c = "y") recode_factor(factor(letters[1:3]), b = "z", c = "y")
Documentation reproduced from package dplyr, version 0.5.0, License: MIT + file LICENSE

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