present: Present elevate models

In egenn/rtemis: Machine Learning and Visualization

Present elevate models

Description

Plot training and testing performance boxplots of multiple 'rtModCV“ objects created by train_cv using dplot3_box

Usage

present(
  ...,
  mod.names = NULL,
  which.repeat = 1,
  metric = NULL,
  plot.train = TRUE,
  plot.test = TRUE,
  boxpoints = "all",
  annotate_meansd = TRUE,
  main = NULL,
  ylim = NULL,
  htest = "none",
  htest.annotate.y = NULL,
  col = NULL,
  theme = rtTheme,
  margin = list(b = 65, l = 100, t = 60, r = 18, pad = 0),
  subplot.margin = 0.0666,
  filename = NULL,
  file.width = 500,
  file.height = 550,
  file.scale = 1
)

Arguments

...	rtModCV objects created with train_cv
mod.names	Character: Names of models being plotted.
which.repeat	Integer: which rtModCV repeat to plot.
metric	Character: which metric to plot.
plot.train	Logical: If TRUE, plot training performance.
plot.test	Logical: If TRUE, plot testing performance.
boxpoints	Character or FALSE: "all", "suspectedoutliers", "outliers" See https://plotly.com/r/box-plots/#choosing-the-algorithm-for-computing-quartiles
annotate_meansd	Logical: If TRUE, annotate with mean (SD) of each box
main	Character: Plot title.
ylim	Numeric vector: y-axis limits
htest	Character: e.g. "t.test", "wilcox.test" to compare each box to the first box. If grouped, compare within each group to the first box. If p-value of test is less than htest.thresh, add asterisk above/ to the side of each box
htest.annotate.y	Numeric: y-axis paper coordinate for htest annotation
col	Color, vector: Color for boxes. If NULL, which will draw colors from palette
theme	Character: Theme to use: Run themes() for available themes
margin	Named list: plot margins. Default = list(b = 65, l = 65, t = 50, r = 10, pad = 0)
subplot.margin	Numeric: margin between subplots.
filename	Character: Path to file to save static plot.
file.width	Integer: File width in pixels for when filename is set.
file.height	Integer: File height in pixels for when filename is set.
file.scale	Numeric: If saving to file, scale plot by this number

Author(s)

E.D. Gennatas

egenn/rtemis documentation built on May 4, 2024, 7:40 p.m.