Retrieve calibration coefficients for a calibration generated by iso_generate_calibration.

iso_get_calibration_coefficients(dt, calibration = last_calibration(dt),
  select = everything(),
  keep_calibration_parameters = keep_other_list_data,
  keep_calibration_regressions = FALSE,
  keep_other_calibrations = FALSE, quiet = default(quiet),
  keep_remaining_nested_data = FALSE, keep_other_list_data = FALSE)




nested data frame with column all_data (see iso_prepare_for_calibration) and any number of calibrations (see iso_generate_calibration)


which columns to unnest - use c(...) to select multiple, supports all select syntax including renaming columns. Includes all columns by default (i.e. unnests all information).


whether to keep the calibration parameter columns (coefficients, summary, range) in the resulting data frame. By default, calibration parameters are kept to facilitate downstream operations that may need these calibration information (such as iso_mark_calibration_range).


whether to keep the actual calibration regression objects in the resulting data frame. By default, regression objects are NOT kept because they lead to large data objects and do not usually have additional use after iso_apply_calibration has been called. There is rarely a reason to change this parameter to TRUE.


whether columns that belong to other calibrations (besides the one specified by calibration) should be kept in the data table. By default, they are removed for clarity.


whether to display (quiet=FALSE) or silence (quiet = TRUE) information messages.


DEPRECATED - this parameter was removed for clarity and does no longer have any effect


DEPRECATED - renamed to keep_calibrations


additional parameters to forward to the func function


iso_unnest_calibration_coefs is deprecated in favor of the equivalent iso_get_calibration_coefficients to standardize function call names. Please start using iso_get_calibration_coefficients as iso_unnest_calibration_coefs will be deprecated in a future version of isoprocessor.

See also