Sensitivity plot — plot_sensitivity • PEcAn.uncertainty

Plot univariate response of model output to a trait parameter.

Usage

plot_sensitivity(
  sa.sample,
  sa.spline,
  trait,
  y.range = c(0, 50),
  median.i = 4,
  prior.sa.sample = NULL,
  prior.sa.spline = NULL,
  fontsize = list(title = 12, axis = 8),
  linesize = 1,
  dotsize = 2
)

Arguments

sa.sample: trait quantiles used in sensitivity analysis
sa.spline: spline function estimated from sensitivity analysis
trait: trait name for title
y.range: limits for y axis of plot
median.i: index of median value in sa.sample; median.i == which(as.numeric(rownames(sa.sample)) == 50)
prior.sa.sample: similar to sa.sample, but for prior distribution. If given, plots sensitivity for prior run
prior.sa.spline: similar to sa.spline, but for prior trait distribution.
fontsize: (optional) list with three arguments that can be set to vary the fontsize of the title, axis labels, and axis title in the sensitivity plots
linesize: passed to ggplot to set line thickness
dotsize: passed to ggplot to set point size

Value

object of class ggplot

Details

Plots for a single trait; called by plot_sensitivities to plot sensitivity plots for multiple traits.