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Plot all series in a tree-ring width dataframe

Source: R/trs_plot_rwl.R
trs_plot_rwl.Rd

Creates a line plot of all tree-ring series in an rwl dataframe, with optional z-score standardization and faceting options.

Usage

trs_plot_rwl(
  x,
  zscore = TRUE,
  facet = FALSE,
  ncol = 1,
  color = NULL,
  scale_y = "fixed"
)

Arguments

x

A data.frame (typically of class 'rwl') with multiple columns of ring-width values. Row names must be numeric and represent calendar years.

zscore

Logical. If TRUE, the ring-width series are standardized to z-scores before plotting. Defaults to TRUE.

facet

Logical. If TRUE, creates a faceted plot with each series in a separate panel. If FALSE, plots all series overlaid on the same plot. Defaults to FALSE.

ncol

Numeric. Number of columns for faceted plots (only used when facet = TRUE). Defaults to 1.

color

Character string or vector specifying line color(s). When NULL and facet = FALSE, each series gets a different color. When a single color is specified, all lines use that color. When a vector of colors is provided, each series gets the corresponding color. Defaults to NULL.

scale_y

Character string specifying y-axis scaling for faceted plots. Options are "fixed", "free", "free_x", or "free_y". Defaults to "fixed".

Value

A ggplot object showing the plotted time series.

Details

The function assumes that the rwl dataframe is already calendar-dated with years as row names. When facet = FALSE, all series are plotted on the same axes with different colors. When facet = TRUE, each series gets its own panel for easier individual inspection. When providing a vector of colors, the length must match the number of series in the data. Required helper functions include: trs_trim and trs_zscore.

Required packages: ggplot2, plyr, tidyr, dplyr

Examples

rwl_data <- trs_pseudo_rwl(n_series = 5, series_length = c(75, 100), end_date = c(2000, 2025))

# Overlaid plot with z-scores
trs_plot_rwl(rwl_data, zscore = TRUE, facet = FALSE)


# Faceted plot with raw values
trs_plot_rwl(rwl_data, zscore = FALSE, facet = TRUE, ncol = 1)


# Custom colors for each series
col_vec <- c("#0fa3b1", "#07beb8", "#3dccc7", "#68d8d6", "#9ceaef")
trs_plot_rwl(rwl_data, color = c("tomato3", "navyblue", "forestgreen", "purple", "orange"))

trs_plot_rwl(rwl_data, color = col_vec, zscore = FALSE)