kvr2 (version 0.2.0)

plot.comp_model: Plot Comparison of Model Specifications

Description

Generates a comprehensive 2x2 diagnostic dashboard comparing models with and without an intercept. This visualization helps identify how the absence of an intercept affects different R-squared definitions and error metrics.

Usage

# S3 method for comp_model
plot(x, ...)

Value

This function is primarily called for its side effect of creating a grid-based plot. It returns the input object x invisibly.

Arguments

x

An object of class comp_model generated by comp_model().

...

Further graphical parameters (currently ignored).

Details

The plot is organized into four panels:

• Top-Left: Grouped bar chart of the nine R-squared definitions.

• Bottom-Left: Comparison of absolute fit metrics (RMSE, MAE, MSE).

• Top-Right: Observed vs. Predicted plot for the intercept model.

• Bottom-Right: Observed vs. Predicted plot for the no-intercept model.

This layout allows for a direct "cause-and-effect" analysis: for instance, observing a data point far from the identity line in the bottom-right panel explains why certain R-squared definitions might crash or become negative in the left panels.

See Also

comp_model(), plot_diagnostic()

Examples

df <- data.frame(x = 1:5, y = c(2, 3, 5, 4, 6))
m1 <- lm(y ~ x, data = df)
res <- comp_model(m1)
plot(res)