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Count the number of concentration measurements in an interval

Source: R/pk.calc.simple.R
pk.calc.count_conc.Rd

count_conc and count_conc_measured are typically used for quality control on the data to ensure that there are a sufficient number of non-missing samples for a calculation and to ensure that data are consistent between individuals.

Usage

pk.calc.count_conc(conc, check = TRUE)

pk.calc.count_conc_measured(conc, check = TRUE)

Arguments

conc

Measured concentrations

check

Run assert_conc()?

Value

a count of the non-missing concentrations (0 if all concentrations are missing)

a count of the non-missing, measured (not below or above the limit of quantification) concentrations (0 if all concentrations are missing)

Functions

  • pk.calc.count_conc_measured(): Count the number of concentration measurements that are not missing, above, or below the limit of quantification in an interval

See also

Other NCA parameters for concentrations during the intervals: pk.calc.clast.obs(), pk.calc.cmax(), pk.calc.cstart(), pk.calc.ctrough()