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Full Preprocessing Pipeline for Standard Curve Data

Source: R/transforms.R
preprocess_standards.Rd

Applies concentration computation, prozone correction, blank handling, and optional log10 response transform in the canonical order.

Usage

preprocess_standards(
  data,
  antigen_settings,
  response_variable,
  independent_variable,
  is_log_response,
  blank_data = NULL,
  blank_option = "ignored",
  is_log_independent = TRUE,
  apply_prozone = TRUE,
  verbose = FALSE
)

Arguments

data

Data frame of standards with a dilution column.

antigen_settings

Named list with standard_curve_concentration.

response_variable

Character. Response column name.

independent_variable

Character. Concentration column name.

is_log_response

Logical. Log10-transform the response?

blank_data

Data frame of blanks, or NULL.

blank_option

Character. Blank handling method.

is_log_independent

Logical. Log10-transform concentration?

apply_prozone

Logical. Apply prozone correction?

verbose

Logical.

Value

A list with data (preprocessed) and antigen_fit_options (a record of the options used).