point_plot_: Generate a customized scatter plot.

In PiotrTymoszuk/caretExtra: Extra functionality for predictions and quality control of caret models

Generate a customized scatter plot.

Description

Draws a simple scatter plot for model diagnostic purposes.

Usage

point_plot_(
  data,
  x_var,
  y_var,
  x_lab = x_var,
  y_lab = y_var,
  plot_title = NULL,
  plot_subtitle = NULL,
  plot_tag = NULL,
  point_wjitter = 0.01,
  point_hjitter = 0.01,
  point_alpha = 0.75,
  smooth = TRUE,
  silent = TRUE,
  cust_theme = ggplot2::theme_classic(),
  ...
)

Arguments

data	data frame.
x_var	name of the variable to be shown in the x axis.
y_var	name of the variable to be shown in the y axis.
x_lab	x axis title.
y_lab	y axis title.
plot_title	plot title.
plot_subtitle	plot subtitle.
plot_tag	plot tag.
point_wjitter	horizontal jittering of the points.
point_hjitter	vertical jittering of the points.
point_alpha	plot point alpha.
smooth	logical, should a trend line be displayed.
silent	logical, display warnings?
cust_theme	a custom ggplot theme.
...	extra arguments passed to geom_smooth().

Details

As per design, takes the output of get_qc_tbl() as data argument, color-codes model potential outliers.

Value

a ggplot graphic

PiotrTymoszuk/caretExtra documentation built on Oct. 15, 2023, 10:03 p.m.