plotDC_lvl | R Documentation |
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.
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"
)
df_win |
A data frame containing series of Dynamic Complexity values obtained by running function |
df_ccp |
If an object generated by |
df_lvl |
A dataframe generated by |
win |
Size of window in which to calculate Dynamic Complexity. If |
useVarNames |
Use the column names of |
colOrder |
If |
useTimeVector |
Parameter used for plotting. A vector of length |
timeStamp |
If |
doPlot |
If |
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. |
An invisible ggplot2 object.
Other Dynamic Complexity functions:
dc_ccp()
,
dc_d()
,
dc_f()
,
dc_win()
,
plotDC_ccp()
,
plotDC_res()
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