plot.dm_standardized: Plot method for standardized dendrometer output

In dendRoAnalyst: A Tool for Processing and Analyzing Dendrometer Data

Plot method for standardized dendrometer output

Description

S3 plotting method for objects returned by dm_standardize().

Usage

## S3 method for class 'dm_standardized'
plot(
  x,
  y = NULL,
  trees = "all",
  type = c("series", "seasonal", "heatmap", "boxplot"),
  x_axis = c("time", "doy", "season_doy"),
  facet_by = c("tree", "season_year", "none"),
  legend_by = c("season_year", "tree", "none"),
  in_season_only = TRUE,
  box_group = c("tree", "season_year"),
  alpha = 0.8,
  line_size = 0.45,
  point_size = 1.6,
  ...
)

Arguments

x	Object of class "dm_standardized" returned by dm_standardize().
y	Unused.
trees	Character vector of dendrometer series to plot, or "all" for all series.
type	Plot type. One of: "series": standardized time series over calendar time "seasonal": standardized seasonal trajectories by seasonal day "heatmap": heatmap of standardized values by seasonal day and seasonal year "boxplot": distribution of standardized values
x_axis	For type = "series", x-axis style: "time", "doy", or "season_doy".
facet_by	Faceting option. One of "tree", "season_year", or "none".
legend_by	Legend grouping. One of "tree", "season_year", or "none".
in_season_only	Logical. If TRUE, only observations inside the defined season are plotted.
box_group	For type = "boxplot", grouping variable on the x-axis: "tree" or "season_year".
alpha	Line or point transparency.
line_size	Line width.
point_size	Point size.
...	Unused.

Value

A ggplot2 object, returned invisibly.

Examples

data(gf_nepa17)

out_std <- dm_standardize(
  df = gf_nepa17,
  season_type = "NH",
  method = "robust_amplitude"
)

plot(out_std)
plot(out_std, type = "seasonal")
plot(out_std, type = "seasonal", facet_by = "tree", legend_by = "season_year")
plot(out_std, type = "seasonal", facet_by = "season_year", legend_by = "tree")
plot(out_std, type = "heatmap", facet_by = "tree")
plot(out_std, type = "boxplot", facet_by = "tree", legend_by = "season_year")

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