val_labels(x, prefixed = FALSE)

val_labels(x) <- value

val_label(x, v, prefixed = FALSE)

val_label(x, v) <- value

set_value_labels(.data, ..., .labels = NA, .strict = TRUE)

add_value_labels(.data, ..., .strict = TRUE)

remove_value_labels(.data, ..., .strict = TRUE)

v <- labelled(c(1,2,2,2,3,9,1,3,2,NA), c(yes = 1, no = 3, "don't know" = 9))
val_labels(v)
val_labels(v, prefixed = TRUE)
val_label(v, 2)
val_label(v, 2) <- 'maybe'
val_label(v, 9) <- NULL
val_labels(v) <- NULL
if (require(dplyr)) {
  # setting value labels
  df <- tibble(s1 = c("M", "M", "F"), s2 = c(1, 1, 2)) %>%
    set_value_labels(s1 = c(Male = "M", Female = "F"), s2 = c(Yes = 1, No = 2))
  val_labels(df)

  # updating value labels
  df <- df %>% add_value_labels(s2 = c(Unknown = 9))
  df$s2

  # removing a value labels
  df <- df %>% remove_value_labels(s2 = 9)
  df$s2

  # removing all value labels
  df <- df %>% set_value_labels(s2 = NULL)
  df$s2
}