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Calculate the mean concentration at all time points for use in sparse NCA calculations

Source: R/sparse.R
sparse_mean.Rd

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 as_sparse_pk()

sparse_mean_method

The method used to calculate the sparse mean (see details)

Value

A vector the same length as sparse_pk with the mean concentration at each of those times.

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).

See also

Other Sparse Methods: as_sparse_pk(), pk.calc.sparse_auc(), sparse_auc_weight_linear()