Plot method for fdata objects — plot.fdata • fdars

Displays a plot of functional data. For 1D functional data, plots curves as lines with optional coloring. For 2D functional data, plots surfaces as heatmaps with contour lines.

Usage

# S3 method for class 'fdata'
plot(
  x,
  color = NULL,
  alpha = NULL,
  show.mean = FALSE,
  show.ci = FALSE,
  ci.level = 0.9,
  palette = NULL,
  ...
)

Arguments

x

An object of class 'fdata'.

color

Optional vector for coloring curves. Can be:

Numeric vector: curves colored by continuous scale (viridis)
Factor/character: curves colored by discrete groups

Must have length equal to number of curves.

alpha

Transparency of individual curve lines. Default is 0.7 for basic plots, but automatically reduced to 0.3 when show.mean = TRUE or show.ci = TRUE to reduce visual clutter and allow mean curves to stand out. Can be explicitly set to override the default.

show.mean

Logical. If TRUE and color is categorical, overlay group mean curves with thicker lines (default FALSE).

show.ci

Logical. If TRUE and color is categorical, show pointwise confidence interval ribbons per group (default FALSE).

ci.level

Confidence level for CI ribbons (default 0.90 for 90 percent).

palette

Optional named vector of colors for categorical coloring, e.g., c("A" = "blue", "B" = "red").

...

Additional arguments (currently ignored).

Value

The ggplot object (invisibly).

Details

This function displays the plot immediately. To get the ggplot object without displaying (e.g., for customization), use autoplot.fdata.

Examples

library(ggplot2)
# Display plot immediately
fd <- fdata(matrix(rnorm(200), 20, 10))
plot(fd)


# To get ggplot object without displaying, use autoplot:
p <- autoplot(fd)