assert_conc {PKNCA}

Verify that concentration measurements are valid

Description

If the concentrations or times are invalid, will provide an error. Reasons for being invalid are

• time is not a number

• conc is not a number

• Any time value is NA

• time is not monotonically increasing

• conc and time are not the same length

Usage

assert_conc(conc, any_missing_conc = TRUE)

assert_time(time, sorted_time = TRUE)

assert_conc_time(conc, time, any_missing_conc = TRUE, sorted_time = TRUE)

Arguments

conc

Measured concentrations

any_missing_conc

Are any concentration values allowed to be NA?

time

Time of the measurement of the concentrations

sorted_time

Must the time be unique and monotonically increasing?

Details

Some cases may generate warnings but allow the data to proceed.

• A negative concentration is often but not always an error; it will generate a warning.

Value

conc or give an informative error

time or give an informative error

A data.frame with columns named "conc" and "time" or an informative error