mplot3_fit: True vs. Fitted plot

In egenn/rtemis: Machine Learning and Visualization

True vs. Fitted plot

Description

An mplot3_xy wrapper with defaults for plotting a learner's performance

Usage

mplot3_fit(
  x,
  y,
  fit = "lm",
  se.fit = TRUE,
  fit.error = TRUE,
  axes.equal = TRUE,
  diagonal = TRUE,
  theme = rtTheme,
  marker.col = NULL,
  fit.col = NULL,
  pty = "s",
  fit.legend = FALSE,
  mar = NULL,
  ...
)

Arguments

x	Numeric vector: True values
y	Numeric vector: Predicted values
fit	Character: rtemis model to calculate y ~ x fit. Options: see select_learn() Can also be Logical, which will give a GAM fit if TRUE. If you specify "NLA", the activation function should be passed as a string.
se.fit	Logical: If TRUE, draw the standard error of the fit
fit.error	Logical: If TRUE: draw fit error annotation. Default = NULL, which results in TRUE, if fit is set
axes.equal	Logical: Should axes be equal? Defaults to FALSE
diagonal	Logical: If TRUE, draw diagonal line.
theme	Character: Run themes() for available themes
marker.col	Color for marker
fit.col	Color: Color of the fit line.
pty	Character: "s" for square plot, "m" to fill device. Default = "s"
fit.legend	Logical: If TRUE, show fit legend
mar	Float, vector, length 4: Margins; see par("mar")
...	Additional argument to be passed to mplot3_conf (classification) or mplot3_xy (regression)

Author(s)

EDG

egenn/rtemis documentation built on Sept. 30, 2024, 4:13 p.m.