clPlotQuartets: Plot results

View source: R/points.R

clPlotQuartetsR 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

  • clPlotAverageQuartets(): Plots average across all 100 trees.

  • clPlotTheseAverageQuartets(): Plot average for single dataset across all 100 trees.

  • clPlotSplits(): Splits equivalent of clPlotQuartets.

  • clPlotTheseAverageSplits(): Splits equivalent of clPlotTheseAverageQuartets.

  • clPlotTheseBestAverageSplits(): Splits equivalent of clPlotTheseBestAverageQuartets.

  • clPlotAverageSplits(): Splits equivalent of clPlotAverageQuartets.

  • clPlotBestAverageSplits(): Splits equivalent of clPlotAverageQuartets.

Author(s)

Martin R. Smith


CongreveLamsdell2016 documentation built on May 29, 2024, 2:52 a.m.