In davisadamw/definer: Makes it easy to apply field maps / survey data definitions to datasets with integer coding

knitr::opts_chunk$set(
  collapse = TRUE,
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  fig.path = "man/figures/README-",
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library(tidyverse)
library(definer)

definer

The goal of definer is to make it easy to apply field maps / survey data definitions to datasets with integer coding.

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("davisadamw/definer")

Example

A very basic example of what this does:

# create a definitions dataset linking coded values of various variables to what they represent
def_list <- tibble(variable   = c("A", "A", "B", "B", "C"),
                   value      = c(1,   2,   1,   2,   1),
                   definition = c("cat", "dog", "fred", "george", "lonely")) %>%
  def_prep(variable, value, definition, drop_solos = FALSE)

# make a little source dataset to run this on
source_data <- tibble(ID = c("A1", "A2", "A3"),
                      A  = c(1, 1, 2),
                      B  = c(2, 1, 2),
                      C  = c(1, 1, 1))

# run the mass recoding
updated_values <- def_recode_all(source_data, def_list)

# display the results side-by-side
left_join(source_data, updated_values, 
          by = "ID", suffix = c("_old", "_new"))

ToDos

There are three updates / improvements I have in mind before I'm ready to call this the 0.0.1 version:

• Dictionary (output of def_prep() and input of all the other functions) as an S3 class with print and other methods.
• Let def_recode_all() take multiple values to the .default and .missing arguments. If these are named, they should get passed into the recoding for the matching variables.
• More flexible inputs for def_prep() ... let it handle 3-column data frames without user needing to specify which column is which.

One longer-term one that would require a bit more input:

• Versions of def_prep() or other preparatory functions that can take in various ~raw dictionary formats. Basically wrap everything I do in the import-and-clean-definitions vignette but for a few standard dictionary types. Dunno how many there are out there or whether this should be up to the user, but since this is the hardest part of the process, it makes sense to me to automate at least a few common cases.

davisadamw/definer documentation built on March 11, 2020, 4:14 a.m.