View source: R/pk.calc.simple.R
pk.calc.count_conc | R Documentation |
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.
pk.calc.count_conc(conc, check = TRUE)
pk.calc.count_conc_measured(conc, check = TRUE)
conc |
Measured concentrations |
check |
Run |
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)
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
Other NCA parameters for concentrations during the intervals:
pk.calc.clast.obs()
,
pk.calc.cmax()
,
pk.calc.cstart()
,
pk.calc.ctrough()
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