plotSensitivity: Sensitivity ggplot of a model

In SPOTMisc: Misc Extensions for the 'SPOT' Package

Sensitivity ggplot of a model

Description

Generates a sensitivity plot.

Usage

plotSensitivity(
  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",
agg.sample	number of samples for aggregation type (type="agg").
agg.fun	function for aggregation (type="agg").
...	additional parameters (currently unused).

Value

ggplot2 visualization

See Also

plotFunction, plotData

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