plot.dm_growth_evaluation: Plot growth-fitting evaluation statistics

In dendRoAnalyst: A Tool for Processing and Analyzing Dendrometer Data

Plot growth-fitting evaluation statistics

Description

Creates ggplot2-based comparison plots for objects returned by [dm.growth.evaluate()].

Usage

## S3 method for class 'dm_growth_evaluation'
plot(
  x,
  metric = c("rmse", "mae", "bias", "abs_bias", "r2", "correlation", "nrmse", "rss",
    "aic_approx", "bic_approx"),
  type = c("boxplot", "mean", "heatmap"),
  order_methods = TRUE,
  decreasing = NULL,
  show_points = TRUE,
  show_errorbar = TRUE,
  heatmap_label = c("series_fit", "series", "fit_id"),
  na.rm = TRUE,
  ...
)

Arguments

x	An object of class "dm_growth_evaluation".
metric	Evaluation metric to plot. One of "rmse", "mae", "bias", "abs_bias", "r2", "correlation", "nrmse", "rss", "aic_approx", or "bic_approx".
type	Plot type. One of "boxplot", "mean", or "heatmap".
order_methods	Logical. If TRUE, methods are ordered by their average value for the chosen metric.
decreasing	Logical or NULL. Controls method ordering. If NULL, metrics where smaller values are better are ordered ascending, and metrics where larger values are better are ordered descending.
show_points	Logical. If TRUE, add individual fit points to "boxplot" and "mean" displays.
show_errorbar	Logical. If TRUE, show standard-error bars when type = "mean".
heatmap_label	Character string used to label rows in the heatmap. One of "series_fit", "series", or "fit_id".
na.rm	Logical. If TRUE, remove missing metric values before plotting.
...	Further arguments passed to plotting methods.

Value

A ggplot object.

See Also

[dm.growth.evaluate()]

dendRoAnalyst documentation built on May 20, 2026, 5:07 p.m.