REDCapDM (version 1.0.1)

rd_checkbox: Transform Checkbox Variables in a REDCap Project

Description

This function is used to process checkbox variables in a REDCap dataset. By default, it changes their default categories ("Unchecked" and "Checked") to new ones ("No" and "Yes). Optionally, the function can also evaluate the branching logic for checkbox fields and adjust the data and dictionary accordingly.

Usage

rd_checkbox(
  project = NULL,
  data = NULL,
  dic = NULL,
  event_form = NULL,
  checkbox_labels = c("No", "Yes"),
  checkbox_names = TRUE,
  na_logic = "missing"
)

Value

A list with:

data

Transformed dataset with checkbox fields as factors and optionally renamed.

dictionary

Updated dictionary with checkbox fields expanded and optionally renamed.

event_form

The event_form passed in (if applicable).

results

Summary of transformations and any fields needing review.

Arguments

project

A list containing the REDCap data, dictionary, and event mapping (expected redcap_data() output). Overrides data, dic, and event_form.

data

A data.frame or tibble with the REDCap dataset.

dic

A data.frame with the REDCap dictionary.

event_form

Only applicable for longitudinal projects (presence of events). Event-to-form mapping for longitudinal projects.

checkbox_labels

Character vector of length 2 for labels of unchecked/checked values. Default: c("No", "Yes").

checkbox_names

Logical. If TRUE (default), checkbox columns are renamed using choice labels.

na_logic

Controls how missing values are set based on branching logic. Must be one of "none" (do nothing), "missing" (set to NA only when the logic evaluation is NA), or "eval" (set to NA when the logic evaluates to FALSE). Defaults to "missing".

Details

• Checkbox columns are expected in REDCap wide format (field___code).

• Branching logic evaluation requires event_form for longitudinal projects.

• Names are cleaned and truncated to 60 characters; uniqueness is enforced.

• Fields that cannot be evaluated are listed in results.

Examples

# Basic usage with a project object
res <- rd_checkbox(covican)

# With custom labels
res <- rd_checkbox(data = covican$data,
                   dic = covican$dictionary,
                   checkbox_labels = c("Not present", "Present"))

# Keep original checkbox names
res <- rd_checkbox(covican, checkbox_names = FALSE)

# Longitudinal project with NA logic
res <- rd_checkbox(data = covican$data,
                   dic = covican$dictionary,
                   event_form = covican$event_form,,
                   na_logic = "eval")