VI_MODEL-cash-plot: Plot the fitted model

In TengMCing/visage: Visual Inference for Linear Regression Diagnostics

Plot the fitted model

Description

This function generates plot for fitted model.

Arguments

dat	Data frame. A data frame containing correspoding variables.
type	Character. "resid": VI_MODEL$plot_resid. Default is type = "resid".
theme	ggtheme. A ggplot theme object.
alpha	Numeric. Alpha of dot. Value between 0 and 1. Default is 1.
size	Numeric. Size of dot. Value between 0 and 1. Default is 0.5.
stroke	Numeric. Stroke of dot. Default is 0.5.
remove_axis	Boolean. Whether or not to remove the axis. Default is remove_axis = FALSE.
remove_legend	Boolean. Whether or not to remove the legend. Default is remove_legend = FALSE.
remove_grid_line	Boolean. Whether or not to remove the grid lines. Default is remove_grid_line = FALSE.
add_zero_line	Boolean. Whether or not to add a zero horizontal line. Default is add_zero_line = TRUE.

Value

A ggplot.

Examples

# Instantiate
x <- rand_uniform()
e <- rand_normal()
test <- vi_model(prm = list(x = x, e = e),
                 prm_type = list(x = "r", e = "r"),
                 formula = y ~ 1 + x + 10 * x^2 + e,
                 null_formula = y ~ x,
                 alt_formula = y ~ x + I(x^2))

# Residual plot of the null model
test$plot(test$gen(1000, fit_model = TRUE), type = "resid")

# Customize the plot
test$plot(test$gen(1000, fit_model = TRUE),
          type = "resid",
          theme = ggplot2::theme_light(),
          remove_axis = TRUE,
          remove_grid_line = TRUE,
          add_zero_line = TRUE)

TengMCing/visage documentation built on Aug. 28, 2024, 3:27 p.m.