Plot (thresholded) distance matrix as a recurrence plot
rp_plot(
RM,
plotDimensions = FALSE,
plotDimensionLegend = FALSE,
plotMeasures = FALSE,
plotRadiusRRbar = TRUE,
drawGrid = FALSE,
drawDiagonal = TRUE,
diagColour = "grey50",
drawNA = FALSE,
markEpochsLOI = NULL,
radiusValue = NA,
courseGrain = TRUE,
maxSize = 1000^2,
title = "",
xlabel = "",
ylabel = "",
plotSurrogate = NA,
returnOnlyObject = FALSE
)
A distance matrix or recurrence matrix, preferably generated by function rp or rn.
Should the state vectors be plotted if they are available as attributes of RM (default = TRUE
)
If plotDimensions = TRUE
plot a simple legend (default = FALSE
)
Print common (C)RQA measures in the plot if the matrix is binary (default = FALSE
)
The Radius-RR-bar
is a colour-bar guide plotted with an unthresholded distance matrix indicating a number of RR
values one would get if a certain distance threshold were chosen (default = TRUE
)
Draw a grid on the recurrence plot (default = FALSE
)
One usually omits the main diagonal, the Line Of Incidence (LOI) from the calculation of Auto-RQA measures., it is however common to plot it. Set to FALSE
to omit the LOI from an Auto-Recurrence Plot (default = TRUE
)
Colour of the main diagonal (default = "grey50"
)
Draw NA
values in the recurrence plot? If FALSE
then NA
values will be considered non-recurring (default = FALSE
)
Pass a factor whose levels indicate different epochs or phases in the time series and use the line of identity to represent the levels by different colours (default = NULL
)
If plotMeasures = TRUE
and RM is an unthresholded matrix, this value will be used to calculate recurrence measures. If plotMeasures = TRUE
and RM is already a binary recurrence matrix, pass the radius that was used as a threshold to create the matrix for display purposes. If plotMeasures = TRUE
and radiusValue = NA
, function est_radius()
will be called with default settings (find a radius that yields .05
recurrence rate). If plotMeasures = FALSE
this setting will be ignored.
Reduce the size of the matrix before plotting (greatly improves speed). If plotMeasures = TRUE
coursegraining takes place after calculation of the CRQA measures. See mat_coursegrain()
for details (default = TRUE
)
The maximum size of the matrix (cols x rows) above which the coursegraining function mat_coursegrain will be implemented if courseGrain = TRUE
. This will speed up the plotting process
A title for the plot
An x-axis label
An y-axis label
Should a 2-panel comparison plot based on surrogate time series be added? If RM
has attributes y1
and y2
containing the time series data (i.e. it was created by a call to rp), the following options are available: "RS" (random shuffle), "RP" (randomised phases), "AAFT" (amplitude adjusted fourier transform). If no timeseries data is included, the columns will be shuffled. NOTE: This is not a surrogate test, just 1 surrogate is created from y1
. (default = FALSE
)
Return the ggplot object only, do not draw the plot (default = TRUE
)
A nice plot of the recurrence matrix.
Other Distance matrix operations (recurrence plot):
bandReplace()
,
createCorridor()
,
mat_di2bi()
,
mat_di2ch()
,
mat_di2we()
,
mat_hamming()
,
rp()
,
rp_lineDist()
,
rp_nzdiags()
,
rp_size()