Plot Multivariate Time Series Data

plotTS_multi(
  df,
  timeVec = NA,
  groupVec = NA,
  useVarNames = TRUE,
  colOrder = TRUE,
  doPlot = TRUE,
  title = "",
  subtitle = "",
  xlabel = "Time",
  ylabel = "",
  returnPlotData = FALSE,
  useRibbon = FALSE,
  overlap = 1
)

Arguments

df: A data frame with time series in columns.
timeVec: If numeric, the number of the column in df which contains a time keeping variable. If NA, the time vector will be 1:NROW(df) (default = NA)
groupVec: A vector indicating the names of the time series in the columns of df. If NA, the column names of df will be used, excluding the timeVec, if present (default = NA)
useVarNames: Use the column names of df as variable names in the Complexity Resonance Diagram (default = TRUE)
colOrder: If TRUE, the order of the columns in df determines the of variables on the y-axis. Use FALSE for alphabetic/numeric order. Use NA to sort by by mean value of Dynamic Complexity (default = TRUE)
doPlot: If TRUE shows a Complexity Resonance Diagram of the Dynamic Complexity and returns an invisible ggplot2::ggplot() object. (default = FALSE)
title: A title for the plot.
subtitle: A subtitle for the plot.
xlabel: A label for the x-axis.
ylabel: A label for the y-axis.
returnPlotData: Return the restructured data frame used to create the plot (default = FALSE)
useRibbon: Neat for distributions
overlap: Multiplier for scaling the series around the y-offset. Default is offset + elascer(y, lo = -.45*overlap, hi = .45*overlap) and if useRibbon = TRUE it is offset + elascer(y, lo = 0*overlap, hi = .95*overlap). (default = 1)

Value

A ggplot object.

Examples


# Use the coloured noise data set.
data(ColouredNoise)
plotTS_multi(ColouredNoise)