plot_vpc: Visual Prediction Check

In Peccary-PMX/Peccary: PD and PK results

Visual Prediction Check

Description

Compute visual predicted check plot

Usage

plot_vpc(dataset, x = "TIME", y = "IPRED", sim = "SIMUL",
  obs = "OBS", type_scatter_CI = "CI", quantiles = c(5, 50, 95),
  CIpct = 5, statobs = T, group = "", ylog = T, stat_obs = F,
  loq_obs = 0, xlabel = "", ylabel = "", ymin_displayed = 0,
  filterr = "")

Arguments

dataset	Dataframe containing simulations
x	Name of x columns (Time columns most of time)
y	Name of Y columns (IPRED, DV...)
sim	Name of simulation columns (SIM, SIMUL...)
obs	Name of observation columns (to add dots)
group	Name of one or several group to split (e.g. "AGE + SEX")
ylog	Booléen, if the plot must be turned in logarithmic scale
stat_obs	Booléen, if stats of observation (q5, q50, q95) must be displayed
loq_obs	Value of loq for observation
xlabel	Name of the label for x
ylabel	Name of the label for y
ymin_displayed	Value of loq for simulations (on test, use with precaution)
id	Name of the column with ID

Value

A ggplot object (modifiable)

Author(s)

Thibaud Derippe

Peccary-PMX/Peccary documentation built on Jan. 17, 2024, 9:27 p.m.