plot_heatmap: Plot heatmap of a statistic across parameter space
In rscherrer/egstools:

Description Usage Arguments

View source: R/plot_heatmap.R

Compute a summary statistic for each simulation, then aggregates replicate simutions per combination of parameters and plot the result.la

plot_heatmap(
  d,
  labs = NULL,
  xname = "hsymmetry",
  yname = "ecosel",
  zname = "z",
  tname = "t",
  summary = "value",
  tval = NULL,
  trange = NULL,
  theta = 0.9,
  colname = NULL,
  aggregate = "average",
  prob = 0.95,
  threshold = 0.9,
  colors = NULL,
  collab = NULL,
  splitvar = NULL,
  splitvar2 = NULL
)

`d`	Data frame with coordinates per timepoint per simulation
`labs`	Labels for each axis
`xname`	Column name of the x-axis
`yname`	Column name of the y-axis
`zname`	Column name of the variable to summarize
`tname`	Time column
`summary`	Method used to summarize simulations. Either of "value" (picks a value at a given time point), "average" (between two time points) or "threshold" (the time at which a threshold is passed, assuming monotonous increase).
`tval`	Timepoint to pick a value at (defaults to last generation). Used only if summary method is "value".
`trange`	Timepoints between which to average (defaults to the entire range). Used only if summary method is "average".
`theta`	Threshold whose passing time (assuming monotonous increase) is recorded. Used only if summary method is "threshold".
`colname`	Optional name of the summary column
`aggregate`	Method used to aggregate replicate simulations. Either of "average", "variance", "quantile" or "number" (the number of replicates above a certain threshold of the summary statistic).
`prob`	The quantile used to aggregate replicates. Used only if the aggregation method is "quantile".
`threshold`	The threshold used if the aggregation method is "number".
`colors`	Optional low and high ends of the color gradient
`collab`	Optional color legend title
`splitvar`	Facet splitting variable
`splitvar2`	Second facet splitting variable