Produce a plot in which the output of dc_win() and dc_ccp() on the same multivariate timeseries data is combined with the output of ts_level() on a state variable of the same length as the multivariate data.
Usage
plotDC_lvl(
df_win,
df_ccp = NA,
df_lvl,
win,
useVarNames = TRUE,
colOrder = TRUE,
useTimeVector = NA,
timeStamp = "31-01-1999",
doPlot = TRUE,
title = "Peaks versus Levels Plot",
subtitle = "",
xlabel = "Time",
ylabel = "",
levelName = "State variable"
)Arguments
- df_win
A data frame containing series of Dynamic Complexity values obtained by running function
dc_win()- df_ccp
If an object generated by
dc_ccp(), the levels shown in the plot will only be displayed if there is an cumulative complexity peak at that time point (default =NA)- df_lvl
A dataframe generated by
ts_level()of a variable that is considered a state variable.- win
Size of window in which to calculate Dynamic Complexity. If
win < NROW(df)the window will move along the time series with a stepsize of1(default =NROW(df))- useVarNames
Use the column names of
dfas variable names in the Complexity Resonance Diagram (default =TRUE)- colOrder
If
TRUE, the order of the columns indfdetermines the of variables on the y-axis. UseFALSEfor alphabetic/numeric order. UseNAto sort by by mean value of Dynamic Complexity (default =TRUE)- useTimeVector
Parameter used for plotting. A vector of length
NROW(df), containing date/time information (default =NA)- timeStamp
If
useTimeVectoris notNA, a character string that can be passed tolubridate::stamp()to format the the dates/times passed inuseTimeVector(default ="01-01-1999")- doPlot
If
TRUEshows a Complexity Resonance Diagram of the Dynamic Complexity and returns an invisibleggplot2::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.
- levelName
A name for the state variable.
See also
Other Dynamic Complexity functions:
dc_ccp(),
dc_d(),
dc_f(),
dc_win(),
plotDC_ccp(),
plotDC_res()
