Create a Helical Plot for Time Series Data

Creates a helical plot to visualize time series data, emphasizing both the magnitude and rate of change over time.

Usage

heliPlot(
  data,
  group = NULL,
  facet = FALSE,
  xlabel = "Rate of Change",
  ylabel = "Values",
  arrow = TRUE,
  dateFont = 3,
  dateInterval = FALSE,
  sizeRange = c(1, 3),
  facetScales = "free",
  dateFormat = "%d %b %y",
  n = nrow(data),
  ...
)

Arguments

data: A data frame containing the time series data with required columns: "values_avg", "change_rate", and "date".
group: (Optional) A string specifying the column name in `data` to use for grouping data in the plot. If NULL, no grouping is applied.
facet: Logical indicating whether to facet the plot based on the `group` variable. If TRUE and `group` is NULL, an error is raised.
xlabel: Label for the x-axis, defaults to "Rate of Change".
ylabel: Label for the y-axis, defaults to "Values".
arrow: Logical indicating whether to add an arrow to the end of each line, defaults to TRUE.
dateFont: Numeric specifying the size of the date font, defaults to 3.
dateInterval: Numeric specifying the interval at which date labels should be displayed. If FALSE, no date labels are shown.
sizeRange: Numeric vector of length 2 specifying the range of line widths.
facetScales: Character string indicating whether scales should be "fixed", "free_x", "free_y", or "free".
dateFormat: Format for the date labels, defaults to d-b-y.
n: Numeric specifying the number of points to interpolate along the spline, defaults to the number of rows in `data`.
...: Additional arguments passed on to `ggplot2` layer functions.

Value

A `ggplot` object representing the helical plot.

Examples

# Assuming `dataPrep` is a data frame prepared with the required structure:

if (FALSE) {
heliPlot(dataPrep, group = "myGroup", arrow = TRUE, 
dateFont = 3, dateInterval = 30, sizeRange = c(1, 3))
}