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Reformat modeling dataset into a properly checked and validated modeling dataset.

reformat_data_modeling_to_modeling.Rd

Reformat modeling dataset into a properly checked and validated modeling dataset.

Usage

reformat_data_modeling_to_modeling(
  data,
  dictionary = NULL,
  categorical_mapping = NULL,
  na = "."
)

Arguments

data

dataset formatted as modeling-ready dataset

dictionary

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

categorical_mapping

Either a character vector of column names to auto-encode (most common value gets 0, next gets 1, etc.), or a data.frame with columns column, original_value, encoded_value for explicit mappings. NA values are encoded as -99. The final mapping is attached as a "categorical_mapping" attribute on the returned data.frame. Default NULL skips encoding.

na

what to set NA values to. E.g. ".", (default) or NA (keep NA), or NULL (do nothing).

Value

data.frame with population PK input data in NONMEM-style format.