gbm.factorplot: Creates ggplots of marginal effect for factorial variables...

In SimonDedman/gbm.auto: Automated Boosted Regression Tree Modelling and Mapping Suite

Creates ggplots of marginal effect for factorial variables from plot.gbm in gbm.auto.

Description

Creates an additional plot to those created by gbm.plot within gbm.auto. Can also take Bin/Gaus_Best_line.csv or similar csvs directly. Allows changing of x axis levels and all ggplot and ggsave params.

Usage

gbm.factorplot(
  x,
  factorplotlevels = NULL,
  ggplot2guideaxisangle = 0,
  ggplot2labsx = "",
  ggplot2labsy = "Marginal Effect",
  ggplot2axistext = 1.5,
  ggplot2axistitle = 2,
  ggplot2legendtext = 1,
  ggplot2legendtitle = 1.5,
  ggplot2legendtitlealign = 0,
  ggplot2plotbackgroundfill = "white",
  ggplot2plotbackgroundcolour = "grey50",
  ggplot2striptextx = 2,
  ggplot2panelbordercolour = "black",
  ggplot2panelborderfill = NA,
  ggplot2panelborderlinewidth = 1,
  ggplot2legendspacingx = grid::unit(0, "cm"),
  ggplot2legendbackground = ggplot2::element_blank(),
  ggplot2panelbackgroundfill = "white",
  ggplot2panelbackgroundcolour = "grey50",
  ggplot2panelgridcolour = "grey90",
  ggplot2legendkey = ggplot2::element_blank(),
  ggsavefilename = paste0(lubridate::today(), "_Categorical-variable.png"),
  ggsaveplot = ggplot2::last_plot(),
  ggsavedevice = "png",
  ggsavepath = "",
  ggsavescale = 2,
  ggsavewidth = 10,
  ggsaveheight = 4,
  ggsaveunits = "in",
  ggsavedpi = 300,
  ggsavelimitsize = TRUE,
  ...
)

Arguments

x	Input data.frame or tibble or csv (full file address including .csv) to read, must be a categorical variable.
factorplotlevels	Character vector of the variable's levels to reorder the x axis by, all must match those in the first column of the csv exactly. Default NULL orders from high to low Y value.
ggplot2guideaxisangle	Default 0. Set at e.g. 90 to rotate.
ggplot2labsx	Default: "".
ggplot2labsy	Default: "Marginal Effect".
ggplot2axistext	Default: 1.5.
ggplot2axistitle	Default: 2.
ggplot2legendtext	Default: 1.
ggplot2legendtitle	Default: 1.5.
ggplot2legendtitlealign	Default: 0, # otherwise effect type title centre aligned for some reason.
ggplot2plotbackgroundfill	Default: "white", white background.
ggplot2plotbackgroundcolour	Default: "grey50", background lines.
ggplot2striptextx	Default: 2.
ggplot2panelbordercolour	Default: "black".
ggplot2panelborderfill	Default: NA.
ggplot2panelborderlinewidth	Default: 1.
ggplot2legendspacingx	Default: unit(0, "cm"), # compress spacing between legend items, this is min.
ggplot2legendbackground	Default: ggplot2::element_blank().
ggplot2panelbackgroundfill	Default: "white".
ggplot2panelbackgroundcolour	Default: "grey50".
ggplot2panelgridcolour	Default: "grey90".
ggplot2legendkey	Default: ggplot2::element_blank().
ggsavefilename	Default: paste0(saveloc, lubridate::today(), "_SankeyAlluvial_EMT.SoEv-EfTyp_Col-EfSz.png").
ggsaveplot	Default: last_plot().
ggsavedevice	Default: "png".
ggsavepath	Default: "".
ggsavescale	Default: 2.
ggsavewidth	Default: 10.
ggsaveheight	Default: 4.
ggsaveunits	Default: "in".
ggsavedpi	Default: 300.
ggsavelimitsize	Default: TRUE.
...	Allow params to be called from higher function esp gbm.auto.

Details

'r lifecycle::badge("experimental")

Value

Factorial ggplot saved with users preferred location and name.

Author(s)

Simon Dedman, [e-mail]

SimonDedman/gbm.auto documentation built on Oct. 9, 2024, 8:57 p.m.