In pttry/statficlassifications: Statistics Finland Statistical Classification API interface

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(statficlassifications)

Recoding of categorical variables are often based on keys that map one classification of a categorical variable to an another classification of this same variable. \code{key_recode} recodes an input given a such a key. The key can be in the form of a named vector or a data.frame. The inputs can be vectors, factors of data.frames.

var1 <- c("a", "b", "a", "c", "b", "b")

key <- data.frame(var1 = letters[1:4],
                  var2 = c("first letter",
                           "second letter",
                           "third letter",
                           "fourth letter"),
                  var3 = 1:4)

By default, the variable in key corresponding to the variable to be recoded is found by name:

key_recode(var1, key, to = "var2")

The corresponding variable can however, be found using the values of variables as well:

v <- var1
key_recode(v, key, to = "var2", by = "values")

data.frames can be recoded as well:

df <- data.frame(var1 = var1,
                 y = 1:6)
key_recode(df, key, to = "var2")

Without 'to'-argument, recoding happens to all variable other than 'from'-variable in the key.

key_recode(var1, key)

Keys can be named vectors as well:

key <- c("a" = "first letter",
         "b" = "second letter",
         "c" = "third letter",
         "d" = "fourth letter")

key_recode(v, key)

Note that with named vectors the function knows which way you are recoding:

v <- key_recode(v, key)
v
v <- key_recode(v, key)
v

pttry/statficlassifications documentation built on Jan. 17, 2024, 4:36 p.m.