draw_fit: True vs. Predicted Plot

In egenn/rtemis: Machine Learning and Visualization

True vs. Predicted Plot

Description

A draw_scatter wrapper for plotting true vs. predicted values

Usage

draw_fit(
  x,
  y,
  xlab = "True",
  ylab = "Predicted",
  fit = "glm",
  se_fit = TRUE,
  axes_square = TRUE,
  axes_equal = TRUE,
  diagonal = TRUE,
  ...
)

Arguments

x	Numeric, vector/data.frame/list: True values. If y is NULL and NCOL(x) > 1, first two columns used as x and y, respectively
y	Numeric, vector/data.frame/list: Predicted values
xlab	Character: x-axis label.
ylab	Character: y-axis label.
fit	Character: Fit method.
se_fit	Logical: If TRUE, include standard error of the fit.
axes_square	Logical: If TRUE, draw a square plot.
axes_equal	Logical: If TRUE, set equal scaling for axes.
diagonal	Logical: If TRUE, add diagonal line.
...	Additional arguments passed to draw_scatter

Value

plotly object.

Author(s)

EDG

Examples

## Not run: 
x <- rnorm(500)
y <- x + rnorm(500)
draw_fit(x, y)

## End(Not run)

egenn/rtemis documentation built on June 14, 2025, 11:54 p.m.