plotly_funts: Plot Functional Time Series (funts) with Plotly

In Rfssa: Functional Singular Spectrum Analysis

Plot Functional Time Series (funts) with Plotly

Description

Visualize univariate or multivariate Functional Time Series (funts) using Plotly-based plots.

Usage

plotly_funts(
  x,
  vars = NULL,
  types = NULL,
  subplot = TRUE,
  main = NULL,
  ylab = NULL,
  xlab = NULL,
  tlab = NULL,
  zlab = NULL,
  xticklabels = NULL,
  xticklocs = NULL,
  yticklabels = NULL,
  yticklocs = NULL,
  color_palette = "RdYlBu",
  reverse_color_palette = FALSE,
  ...
)

Arguments

x	an object of class funts.
vars	numeric vector specifying which variables in the FTS to plot (default: all).
types	tuple of strings specifying plot types for each variable.
subplot	logical for subplotting line plots.
main	titles for each plot.
ylab	y-axis titles.
xlab	x-axis titles.
tlab	time-axis titles.
zlab	z-axis titles.
xticklabels	tick labels for the domain of the functions.
xticklocs	positions of tick labels for the domain of the functions.
yticklabels	tick labels for the domain of the functions.
yticklocs	positions of tick labels for the domain of the functions.
color_palette	color palette for two-dimensional FTS plots.
reverse_color_palette	reverse the color palette scale.
...	additional arguments to pass to Plotly methods.

Details

Supported plot types for one-dimensional domain variables: - "line": line plots (default). - "heatmap": heatmaps. - "3Dsurface": 3D surface plots. - "3Dline": 3D line plots.

Supported plot type for two-dimensional domain variables: - "heatmap"

Each variable can be plotted multiple times with different types.

See Also

funts, Callcenter, Montana

Examples

## Not run: 
data("Callcenter") # Univariate FTS example

plotly_funts(Callcenter)

plotly_funts(Callcenter,
  main = "Call Center Data Line Plot",
  xticklabels = list(c("00:00", "06:00", "12:00", "18:00", "24:00")),
  xticklocs = list(c(1, 60, 120, 180, 240))
)

plotly_funts(Callcenter, type = "3Dline", main = "Callcenter Data")

plotly_funts(Callcenter, type = "3Dsurface", main = "Callcenter Data")

plotly_funts(Callcenter, type = "heatmap", main = "Callcenter Data")

data("Montana") # Multivariate FTS example
plotly_funts(Montana[1:100],
  main = c("Temperature Curves", "NDVI Images"),
  color_palette = "RdYlGn",
  xticklabels = list(
    c("00:00", "06:00", "12:00", "18:00", "24:00"),
    c("113.40\u00B0 W", "113.30\u00B0 W")
  ),
  xticklocs = list(c(1, 6, 12, 18, 24), c(1, 33)),
  yticklabels = list(NA, c("48.70\u00B0 N", "48.77\u00B0 N")),
  yticklocs = list(NA, c(1, 33))
)

## End(Not run)

Rfssa documentation built on Oct. 27, 2023, 1:08 a.m.