Linear regression statistics of response curves — get_response_curve

This function calculates linear regression statistics (R-squared, slope, and intercept) for each response curve in the provided MRMhubExperiment object. Before fitting, the analyzed sample amount (x) and feature intensity (y) of each curve are each scaled to their maximum (set to 1), so the returned slopenorm and y0norm are on this normalized scale. Optionally, it can include additional statistics from the lancer package (if installed) when with_staturation_stats is set to TRUE.

Usage

get_response_curve_stats(
  data = NULL,
  with_staturation_stats = FALSE,
  limit_to_rqc = FALSE,
  silent_invalid_data = FALSE
)

Arguments

data: A MRMhubExperiment object containing the dataset and response curve annotations.
with_staturation_stats: Logical, if TRUE, include additional statistics from the lancer package. Note: The lancer package must be installed when this argument is set to TRUE.
limit_to_rqc: Logical, if TRUE, only include rows with qc_type == "RQC". Default is FALSE.
silent_invalid_data: Logical, if TRUE suppresses raising an error when required data or metadata are missing, or there is a mismatch between them.

Value

A tibble with linear regression statistics (r2, slopenorm, y0norm) for each curve, or NULL if no data matches the criteria.