Reformat data between various data set layouts

Usage

reformat_data(
  data,
  dictionary = NULL,
  input_type = c("auto", "nca", "modeling", "sdtm"),
  output_type = c("nca", "modeling"),
  ...
)

data

A data set or list of data sets.

dictionary

A data dictionary that maps expected variable names to variables in the data.

input_type

The type of input data set, defined as follows:

"nca": a data set with one row for every observed concentration measurement. Time, concentration value, and administered dose are required columns. The data set may contain any other variables, covariates, groupings etc in columns.
"modeling": a data set with dose events (evid = 1), concentrations (evid = 0), and potentially other events (events = 2) in separate rows. Dataset requires columns for event type, time, dose amount, measured concentration. The dataset may contain any other variables, covariates, groupings etc in columns.
"sdtm": a list of various data sets or "domains", such as ADSL DM, EX, and DS, following the SDTM structure and nomenclature.

output_type

type of output dataset. Can be either "nca" or "modeling".

...

passed onto specific reformatting functions:

input_type = "nca" and output_type = "modeling": reformat_data_nca_to_modeling()
input_type = "sdtm" and output_type = "modeling": reformat_data_sdtm_to_modeling()
input_type = "modeling" and output_type = "modeling": reformat_data_modeling_to_modeling()
input_type = "modeling" and output_type = "nca": reformat_data_modeling_to_nca()

A data.frame in the format specified by output_type.