R: assign dataframe column values using external vectors

I have a dataframe that looks like this:

df <- data.frame(sample = c(1,2,3,4), code = c("D", "B", "A", "B"))

I also have two vectors that look like this:

code <- c("A", "B", "C")
name <- c("Apple", "Bat", "Cat")

I know if I wanted to use the vectors to assign a "name" based on a matching "code" in the dataframe, I could do something like the following:

# This returns the correct output
df$name <- NA
df$name <- ifelse(df$code == code[1], name[1],
                       ifelse(df$code == code[2], name[2],
                              ifelse(df$code == code[3], name[3], NA)))

However, I don’t want to have to write a new ifelse line for each new entry in the list as it and the dataframe grow/change over time. Is it possible to loop over each code/name pair to assign a value in the dataframe column a bit more dynamically?

Something like this (though this doesn’t work):

df$name <- NA
for(i in 1:length(code)) {
  for(j in 1:length(name)) {
  df$name <- ifelse(df$code == code[i], name[j], NA)
  }
}

I’ve also been looking at Map (also doesn’t work):

df$name <- NA
assign_name <- function(code, name, df) {
  df$name <- Map(function(code, name) {
    ifelse(df$code == code, name, NA)
  }, code, name)
  return(df)
}
assign_name(code, name, df)
# Error in `$<-.data.frame`(`*tmp*`, name, value = list(A = c(NA, NA, "Apple", :
# replacement has 3 rows, data has 4

I’m struggling to Google this one, feels like I’m missing something simple. Thank you in advance to all the humans out there who are smarter than me.

>Solution :

lut <- setNames(name, code)
df$name <- lut[df$code]