I want to recode some numeric values into different numeric values and have had a go using the following code:
survey$KY27PHYc <- revalue(survey$KY27PHY1, c
We can recode numeric values by using recode
or case_when
on dplyr 0.7.0
.
library(dplyr)
packageVersion("dplyr")
# [1] ‘0.7.0’
x <- 1:10
# With recode function using backquotes as arguments
dplyr::recode(x, `2` = 20L, `4` = 40L)
# [1] 1 20 3 40 5 6 7 8 9 10
# Note: it is necessary to add "L" a numerical value.
dplyr::recode(x, `2` = 20, `4` = 40)
# [1] NA 20 NA 40 NA NA NA NA NA NA
# Warning message:
# Unreplaced values treated as NA as .x is not compatible. Please specify replacements exhaustively or supply .default
# With recode function using characters as arguments
as.numeric(dplyr::recode(as.character(x), "2" = "20", "4" = "40"))
# [1] 1 20 3 40 5 6 7 8 9 10
# With case_when function
dplyr::case_when(
x %in% 2 ~ 20,
x %in% 4 ~ 40,
TRUE ~ as.numeric(x)
)
# [1] 1 20 3 40 5 6 7 8 9 10