plot_sensitivity: Sensitivity plot of a model

In SPOTMisc: Misc Extensions for the 'SPOT' Package

Sensitivity plot of a model

Description

mlrTools

Usage

plot_sensitivity(
  object,
  s = 100,
  xlab = paste("x", 1:ncol(object$x), sep = ""),
  ylab = "y",
  type = "best",
  agg.sample = 100,
  agg.fun = mean,
  ...
)

Arguments

object	the result list returned by spot, importantly including a modelFit, and the data x, y.
s	number of samples along each dimension.
xlab	a vector of characters, giving the labels for each of the two independent variables.
ylab	character, the value of the dependent variable predicted by the corresponding model.
type	string describing the type of the plot: "best" (default) shows sensitivity around optimum, "contour", "persp" (perspective), or "persp3d" plot. Note that "persp3d" is based on the plotly package and will work in RStudio, but not in the standard RGui.
agg.sample	number of samples for aggregation type (type="agg").
agg.fun	function for aggregation (type="agg").
...	additional parameters (currently unused).

Value

plotly visualization (based on plot_ly)

See Also

plotFunction, plotData

SPOTMisc documentation built on Sept. 5, 2022, 5:06 p.m.