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Regression diagnostic plots for a regression_linear result

Source: R/plots.R
sframe_plot_regression_diagnostics.Rd

The four standard diagnostic panels (residuals vs fitted, normal Q-Q, scale-location, residuals vs leverage), built from the plain data frame run_analysis_plan() attaches to a regression_linear result rather than the lm object itself, so the result stays JSON-serialisable.

Usage

sframe_plot_regression_diagnostics(result, palette = c("web", "print"))

Arguments

result

A regression_linear result list containing a diagnostics data frame (as produced internally by run_analysis_plan()).

palette

One of "web" or "print". See sframe_brand().

Value

A named list of four ggplot2 objects (residuals_fitted, qq, scale_location, leverage), or NULL if diagnostics are unavailable.

See also

run_analysis_plan()

Examples

# \donttest{
if (requireNamespace("ggplot2", quietly = TRUE)) {
  demo <- sframe_demo_data()
  res <- run_analysis_plan(demo$responses, demo$instrument)
  panels <- sframe_plot_regression_diagnostics(res$rq_predict_sat)
  panels$residuals_fitted
}

# }