plotParallel: Parallel coordinate plot of a data set

In SPOTMisc: Misc Extensions for the 'SPOT' Package

Parallel coordinate plot of a data set

Description

Parallel plot based on ggparcoord.

Usage

plotParallel(
  result,
  xlab = NULL,
  ylab = NULL,
  yrange = NULL,
  splineFactor = 1,
  colorOption = "A",
  scale = "uniminmax",
  boxplot = FALSE,
  alphaLines = 0.1,
  showPoints = TRUE,
  title = "",
  probs = seq(0.25, 0.75, 0.25),
  ...
)

Arguments

result	the result list returned by spot, importantly including the data x, y.
xlab	character, the value of the independent variable
ylab	character, the value of the dependent variable predicted by the corresponding model.
yrange	a two-element vector that specifies the range of y values to consider (data outside of that range will be excluded).
splineFactor	logical or numeric operator indicating whether spline interpolation should be used. Numeric values will multiplied by the number of columns, TRUE will default to cubic interpolation, AsIs to set the knot count directly and 0, FALSE, or non-numeric values will not use spline interpolation. See ggparcoord. Default: "A".
colorOption	A character string indicating the colormap option to use. Four options are available: "magma" (or "A"), "inferno" (or "B"), "plasma" (or "C"), "viridis" (or "D", the default option) and "cividis" (or "E"). See scale_colour_viridis_d
scale	method used to scale the variables. Default: "uniminmax".
boxplot	logical operator indicating whether or not boxplots should underlay the distribution of each variable
alphaLines	value of alpha scaler for the lines of the parcoord plot or a column name of the data. Default: 0.1
showPoints	logical operator indicating whether points should be plotted or not. Default: TRUE
title	character string denoting the title of the plot. Default: "".
probs	quantile probabilities. Default: seq(0, 1, 0.25)
...	additional parameters to be passed to ggparcoord.

Value

plotly parallel coordinate plot ('parcoords') visualization (based on plot_ly)

See Also

plotFunction, plotData

Examples

require("SPOT")
res <- spot(x=NULL,
             funSphere,
             lower=rep(-1,3),
             upper=rep(1,3),
             control=list(funEvals=25))
plotParallel(res, scale="std")

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