sparse_mean {PKNCA} | R Documentation |
Calculate the mean concentration at all time points for use in sparse NCA calculations
Description
Choices for the method of calculation (the argument sparse_mean_method
)
are:
Usage
sparse_mean(
sparse_pk,
sparse_mean_method = c("arithmetic mean, <=50% BLQ", "arithmetic mean")
)
Arguments
sparse_pk |
A sparse_pk object from |
sparse_mean_method |
The method used to calculate the sparse mean (see details) |
Details
- "arithmetic mean"
Arithmetic mean (ignoring number of BLQ samples)
- "arithmetic mean, <=50% BLQ"
If >= 50% of the measurements are BLQ, zero. Otherwise, the arithmetic mean of all samples (including the BLQ as zero).
Value
A vector the same length as sparse_pk
with the mean concentration
at each of those times.
See Also
Other Sparse Methods:
as_sparse_pk()
,
pk.calc.sparse_auc()
,
sparse_auc_weight_linear()
[Package PKNCA version 0.11.0 Index]