plot_corr2din3d  R Documentation 
plot_corr2din3d
plots twodimensional correlation spectra as an 3D surface.
plot_corr2din3d( Mat, specx = NULL, specy = NULL, scalex = NULL, scaley = NULL, Col = colorspace::diverge_hcl(64, h = c(240, 0), c = 100, l = c(20, 100), power = 0.4), reduce = NULL, zlim = NULL, projection = FALSE, ... )
Mat 
Real numeric matrix containing the zvalues to plot. 
specx, specy 
Numeric vector containing the data, that will be
plotted at the x and y axis. Can be any data and does not need to have
the same dimensions as 
scalex, scaley 
A real number which describes how 
Col 
Vector containing colors used to plot the 3D plot and the respective projection. 
reduce 
Nonzero rational number describing how to

zlim 
Numeric vector with two values indicating the zrange of the 3D plot. 
projection 
Logical: Should a 2D projection of the 3D surface be plotted a the bottom of the box? 
... 
Additional arguments passed to 
For the synchronous correlation spectrum the real component (Re
)
of the complex correlation matrix must be plotted. The asynchronous
spectrum is the respective imaginary component (Im
).
R. Geitner et al. (2019) <DOI:10.18637/jss.v090.i03>
See plot_corr2d
for 2D plots.
See drape.plot
for information on the plot function.
data(FuranMale, package = "corr2D") twod < corr2d(FuranMale, Ref1 = FuranMale[1, ], corenumber = 1) plot_corr2din3d(Mat = Re(twod$FT), specx = twod$Ref1, specy = twod$Ref1, reduce = 2, scalex = 175, scaley = 175, zlim = c(1.5, 2.2)*10^3, projection = FALSE, border = gray(0.2), theta = 25, phi = 15, add.legend = FALSE, Col = fields::tim.colors(64))
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