mplot3_fit: True vs. Fitted plot
In egenn/rtemis: Machine Learning and Visualization

mplot3_fit

R Documentation

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)