plot.PKPDsim_data: Generic plotting function for PKPDsim objects

In ronkeizer/PKPDplot: Plot PKPDsim data

Description

Generic plotting function for PKPDsim objects

Usage

## S3 method for class 'PKPDsim_data'
plot(x, only_obs = TRUE, obs_x = NULL,
  regimen = NULL, lines = NULL, show_single = list(obs = TRUE, spaghetti =
  TRUE, ci = FALSE, median = FALSE, regimen = TRUE),
  show_population = list(obs = FALSE, spaghetti = TRUE, ci = FALSE, median =
  TRUE, regimen = TRUE), ci = c(0.05, 0.95), theme = NULL, xlim = NULL,
  ylim = NULL, width = 6, height = 4, legend = NULL,
  show_series = NULL, show = NULL, log_y = FALSE, target = NULL,
  target_as_ribbon = FALSE, scale_colour_values = NULL,
  scale_linetype_values = NULL, labels = list(x = "Time (hours)", y =
  "Concentration (mg/L)"), return_svg = FALSE, ...)

Arguments

x	PKPDsim-simulated x
only_obs	Only plot observation compartment
obs_x	Also add observation (e.g. TDM) x
regimen	regimen specification from PKPDsim::new_regimen()
lines	show lines?
show_single	definition for plots of single patients
show_population	definition for plots of populations
ci	confidence interval, specified as vector of two values between 0 and 1, default is 'c(0.05, 0.95)'.
theme	theme
xlim	xlim passed to ggplot
ylim	ylim passed to ggplot
width	width of plot if saved
height	height of plot if saved
legend	list of labels that override defaults, e.g. list("individual" = "ind.pred")
show_series	show only specified types / series
show	definition of what to show in plot, overrides 'show_single' and 'show_population'. NULL by default
log_y	log y axis?
target	vector of target values (dependent variable), will be shown as vertical lines
target_as_ribbon	show target (only when vector of 2) as ribbon (TRUE), or just as two lines (FALSE)
scale_colour_values	values for colour scale
scale_linetype_values	values for linetype scale
labels	list with 'x' and 'y' labels
return_svg	return the svg plot definition instead of ggplot2 object. FALSE by default
...	rest

ronkeizer/PKPDplot documentation built on May 27, 2019, 1:50 p.m.