Handle BLQ values in the concentration measurements as requested by the user.

Handle BLQ values in the concentration measurements as requested by the user.

Usage

clean.conc.blq(
  conc,
  time,
  ...,
  options = list(),
  conc.blq = NULL,
  conc.na = NULL,
  check = TRUE
)

Arguments

conc

Measured concentrations

time

Time of the measurement of the concentrations

...

Additional arguments passed to clean.conc.na

options

List of changes to the default PKNCA options (see PKNCA.options())

conc.blq

How to handle a BLQ value that is between above LOQ values? See details for description.

conc.na

How to handle NA concentrations. (See clean.conc.na())

check

Run assert_conc_time()?

Value

The concentration and time measurements (data frame) filtered and cleaned as requested relative to BLQ in the middle.

Details

NA concentrations (and their associated times) will be handled as described in clean.conc.na() before working with the BLQ values. The method for handling NA concentrations can affect the output of which points are considered BLQ and which are considered "middle". Values are considered BLQ if they are 0.

conc.blq can be set either a scalar indicating what should be done for all BLQ values or a list with elements either named "first", "middle" and "last" or "before.tmax" and "after.tmax" each set to a scalar.

The meaning of each of the list elements is:

first

Values up to the first non-BLQ value. Note that if all values are BLQ, this includes all values.

middle

Values that are BLQ between the first and last non-BLQ values.

last

Values that are BLQ after the last non-BLQ value

before.tmax

Values that are BLQ before the time at first maximum concentration

after.tmax

Values that are BLQ after the time at first maximum concentration

The valid settings for each are:

"drop"

Drop the BLQ values

"keep"

Keep the BLQ values

a number

Set the BLQ values to that number

See also

Other Data cleaners: clean.conc.na()