Summarize PKNCA results

Summarize PKNCA results

Usage

# S3 method for class 'PKNCAresults'
summary(
  object,
  ...,
  drop_group = object$data$conc$columns$subject,
  drop_param = character(),
  summarize_n = NA,
  not_requested = ".",
  not_calculated = "NC",
  drop.group = deprecated(),
  summarize.n.per.group = deprecated(),
  not.requested.string = deprecated(),
  not.calculated.string = deprecated(),
  pretty_names = NULL
)

Arguments

object

The results to summarize

...

Ignored.

drop_group

Which group(s) should be dropped from the formula?

drop_param

Which parameters should be excluded from the summary?

summarize_n

Should a column for N be added (TRUE or FALSE)? NA means to automatically detect adding N if the data has a subject column indicated. Note that N is maximum number of parameter results for any parameter; if no parameters are requested for a group, then N will be NA.

not_requested

A character string to use when a parameter summary was not requested for a parameter within an interval.

not_calculated

A character string to use when a parameter summary was requested, but the point estimate AND spread calculations (if applicable) returned NA.

drop.group, summarize.n.per.group, not.requested.string, not.calculated.string

Deprecated use drop_group, not_requested, not_calculated, or summarize_n, instead

pretty_names

Should pretty names (easier to understand in a report) be used? TRUE is yes, FALSE is no, and NULL is yes if units are used and no if units are not used.

Value

A data frame of NCA parameter results summarized according to the summarization settings.

Details

Excluded results will not be included in the summary.

See also

PKNCA.set.summary(), print.summary_PKNCAresults()

Examples

conc_obj <- PKNCAconc(as.data.frame(datasets::Theoph), conc ~ Time | Subject)
d_dose <-
  unique(datasets::Theoph[
    datasets::Theoph$Time == 0,
    c("Dose", "Time", "Subject")
  ])
dose_obj <- PKNCAdose(d_dose, Dose ~ Time | Subject)
data_obj_automatic <- PKNCAdata(conc_obj, dose_obj)
results_obj_automatic <- pk.nca(data_obj_automatic)
# To get standard results run summary
summary(results_obj_automatic)
#>  start end  N     auclast        cmax               tmax   half.life aucinf.obs
#>      0  24 12 74.6 [24.3]           .                  .           .          .
#>      0 Inf 12           . 8.65 [17.0] 1.14 [0.630, 3.55] 8.18 [2.12] 115 [28.4]
#> 
#> Caption: auclast, cmax, aucinf.obs: geometric mean and geometric coefficient of variation; tmax: median and range; half.life: arithmetic mean and standard deviation; N: number of subjects
#> 
# To enable numeric conversion and extraction, do not give a spread function
# and subsequently run as.numeric on the result columns.
PKNCA.set.summary(
  name = c("auclast", "cmax", "half.life", "aucinf.obs"),
  point = business.geomean,
  description = "geometric mean"
)
PKNCA.set.summary(
  name = c("tmax"),
  point = business.median,
  description = "median"
)
summary(results_obj_automatic, not_requested = "NA")
#>  start end  N auclast cmax tmax half.life aucinf.obs
#>      0  24 12    74.6   NA   NA        NA         NA
#>      0 Inf 12      NA 8.65 1.14      7.99        115
#> 
#> Caption: auclast, cmax, half.life, aucinf.obs: geometric mean; tmax: median; N: number of subjects
#>