clPlotQuartets {CongreveLamsdell2016}R Documentation

Plot results

Description

Plots the results of the analyses of the Congreve & Lamsdell (2016) datasets.

Usage

clPlotQuartets(
  dataset,
  tree,
  cex = 1.1,
  pch = 2,
  col = CongreveLamsdell2016::clColours,
  ...
)

clPlotAverageQuartets(
  dataset,
  cex = 1.1,
  pch = 2,
  col = CongreveLamsdell2016::clColours,
  ...
)

clPlotTheseAverageQuartets(dataset, cex = 1.1, pch = 2, col = "black", ...)

clPlotSplits(
  dataset,
  tree,
  cex = 1.1,
  pch = 2,
  col = CongreveLamsdell2016::clColours,
  ...
)

clPlotTheseAverageSplits(dataset, cex = 1.1, pch = 2, col = "black", ...)

clPlotTheseBestAverageSplits(dataset, cex = 1.1, pch = 2, col = "black", ...)

clPlotAverageSplits(
  dataset,
  cex = 1.1,
  pch = 2,
  col = CongreveLamsdell2016::clColours,
  ...
)

clPlotBestAverageSplits(
  dataset,
  cex = 1.1,
  pch = 2,
  col = CongreveLamsdell2016::clColours,
  ...
)

Arguments

dataset

Dataset to plot, for example ⁠\link[=clResults]{clBootGcQuartets}⁠.

tree

Integer specifying which tree to plot.

cex, pch, ...

Graphical parameters to pass to JoinTheDots.

col

Named vector specifying colours to use to plot each analysis, named to match names(dataset).

Value

Returns invisible.

Functions

Author(s)

Martin R. Smith


[Package CongreveLamsdell2016 version 1.0.3 Index]