filter.PKNCAresults: dplyr filtering for PKNCA

In PKNCA: Perform Pharmacokinetic Non-Compartmental Analysis

dplyr filtering for PKNCA

Description

dplyr filtering for PKNCA

Usage

## S3 method for class 'PKNCAresults'
filter(.data, ..., .preserve = FALSE)

## S3 method for class 'PKNCAconc'
filter(.data, ..., .preserve = FALSE)

## S3 method for class 'PKNCAdose'
filter(.data, ..., .preserve = FALSE)

Arguments

.data	A data frame, data frame extension (e.g. a tibble), or a lazy data frame (e.g. from dbplyr or dtplyr). See Methods, below, for more details.
...	<data-masking> Expressions that return a logical value, and are defined in terms of the variables in .data. If multiple expressions are included, they are combined with the & operator. Only rows for which all conditions evaluate to TRUE are kept.
.preserve	Relevant when the .data input is grouped. If .preserve = FALSE (the default), the grouping structure is recalculated based on the resulting data, otherwise the grouping is kept as is.

See Also

Other dplyr verbs: group_by.PKNCAresults(), inner_join.PKNCAresults(), mutate.PKNCAresults()

PKNCA documentation built on June 22, 2024, 9:25 a.m.