multiSurface: Arrange Multiple Surface Plots on a Grid
In castels/sophTools: Tools for the Systematic Testing of Interpolation Algorithms

multiSurface

R Documentation

Arrange Multiple Surface Plots on a Grid

Description

Function to generate a grid of surface plots (from the plotly package) to visualize changes in the performance metrics of interest with gap structure, across a number of datasets or methods. The structure of each surface plot is described in ?plotSurface.

If layer_type = "method", plots are arranged in a grid, by dataset.
If layer_type = "dataset", plots will be arranged in a grid, by method.

Usage

multiSurface(
  d = 1:length(agObject),
  m = names(agObject[[1]][[1]][[1]]),
  metric,
  agObject,
  layer_type = "method",
  f = "median",
  highlight = "HWI",
  highlight_color = "#FA4032",
  colors = c("#F9E0AA", "#F7C65B", "#FAAF08", "#FA812F", "#FA4032", "#F92111")
)

Arguments

`d`	`numeric`; A vector to indicate datasets of interest
`m`	`character`; A vector of interpolation methods of interest
`metric`	`character`; An element describing the performance metric of interest
`agObject`	`aggregate_pf`; An object containing the aggregated performance metrics (result of `aggregate_pf()`)
`layer_type`	`character`; How to layer the surfaces (by `"method"` or by `"dataset"`)
`f`	`character`; The statistic of interest defining the surface `f(p,g)`. Possible choices are listed in `?aggregate_pf`.
`highlight`	`character/numeric`; A single method (if `layer_type = "method"`) or dataset (if `layer_type = "dataset"`) to highlight.
`highlight_color`	`character`; An HTML color of format `"#xxxxxx"` to apply to `highlight`
`colors`	`character`; A vector of the desired color palette, with entries in HTML format (`"#xxxxxx"`)