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Apply UI-Based Column Mapping to a Dataset

Source: R/apply_mapping.R
apply_mapping.Rd

This function takes a dataset and applies user-specified column mappings provided through a Shiny input object. It renames columns based on the selected mappings, handles special cases such as ADOSEDUR, updates units for key variables, applies labels, and removes detected duplicate concentration records.

Usage

apply_mapping(
  dataset,
  mapping,
  desired_order,
  silent = TRUE,
  req_mappings = c("USUBJID", "AFRLT", "NFRLT", "ARRLT", "NRRLT", "PCSPEC", "ROUTE",
    "AVAL", "STUDYID", "NCA_PROFILE", "AVALU", "RRLTU", "DOSEU", "PARAM")
)

Arguments

dataset

A data frame containing the raw data to be transformed.

mapping

A named list of column mappings.

desired_order

A character vector specifying the desired column order in the output dataset.

silent

Boolean, whether to print message with applied mapping. Defaults to TRUE.

req_mappings

A character vector indicating the names of the mapping object that must always be populated

Value

A transformed data frame with:

  • Renamed columns according to user mappings

  • Created columns for mapped non-existent variables (e.g., mg/L in AVALU)

  • Created columns for unmapped required variables (e.g., ADOSEDUR)

  • Ordered columns as specified

  • Labels applied to columns (via apply_labels())

  • Concentration duplicates removed based on key identifiers: AFRLT, STUDYID, PCSPEC, DRUG, USUBJID, and PARAM

Details

  • Validates that all required columns are mapped and no duplicates exist.

  • If ADOSEDUR is not mapped, it is assigned a value of 0.

  • Removes concentration data duplicates using all columns except ARRLT, NRRLT, and NCA_PROFILE.