mrgsim.sa (version 0.2.0)

sens_plot: Plot sensitivity analysis results

Description

Plot sensitivity analysis results

Usage

sens_plot(data, ...)
# S3 method for sens_each
sens_plot(
  data,
  dv_name = NULL,
  p_name = NULL,
  logy = FALSE,
  ncol = NULL,
  lwd = 0.8,
  digits = 3,
  plot_ref = TRUE,
  xlab = "time",
  ylab = dv_name[1],
  layout = c("default", "facet_grid", "facet_wrap", "list"),
  grid = FALSE,
  ...
)
# S3 method for sens_grid
sens_plot(
  data,
  dv_name = NULL,
  digits = 2,
  ncol = NULL,
  lwd = 0.8,
  logy = FALSE,
  plot_ref = TRUE,
  ...
)

Value

A ggplot object when one dv_name is specified or a list of ggplot

objects when multiple dv_names are specified.

Arguments

data

output from sens_each() or sens_grid().

...

arguments passed on to methods.

dv_name

dependent variable names to plot; can be a comma-separated string; if NULL, then the unique values of dv_name in data are used.

p_name

parameter names to plot; can be a comma-separates string.

logy

if TRUE, y-axis is transformed to log scale

ncol

passed to ggplot2::facet_wrap().

lwd

passed to ggplot2::geom_line().

digits

used to format numbers on the strips.

plot_ref

if TRUE, then the reference case will be plotted in a black dashed line.

xlab

x-axis title.

ylab

y-axis title; not used for facet_grid or facet_wrap layouts.

layout

specifies how plots should be returned when dv_name requests multiple dependent variables; see Details.

grid

if TRUE, plots from the sens_each method will be arranged on a page with patchwork::wrap_plots(); see the ncol argument.

Details

The layout argument is only used for the sens_each method. It lets you get the plots back in different formats when multiple dependent variables are requested via dv_name.

• Use default to get the plots back in a list if multiple dependent variables are requested otherwise a single plot is returned.

• Use facet_grid to get a single plot, with parameters in columns and dependent variables in rows.

• Use facet_wrap to get a plot with faceted using ggplot2::facet_wrap(), with both the parameter name and the dependent variable name in the strip.

• Use list to force output to be a list of plots; this output can be further arranged using patchwork::wrap_plots() if desired.

When grid is TRUE, a list of plots will be returned when multiple dependent variables are requested.

Examples

mod <- mrgsolve::house()

dose <- mrgsolve::ev(amt = 100)

out <- sens_run(mod, sargs = list(events = dose),  par = "CL,VC") 

sens_plot(out, dv_name = "CP")