EDA Plot

DESCRIPTION:

Graphical summary of an object.

This function is an S Version 3 generic (see Methods); method functions can be written to handle specific S Version 3 classes of data. Classes which already have methods for this function include:
cp.crystal , cp.crystal.2d, cpt, cpt.2d, decompose, dwt, dwt.molecule, molecule, nd.dwt, pcosts, pcosts.2d, ptable, rob.dwt, spectrum, waveshrink, wp.crystal, wp.crystal.2d, wpt, wpt.2d , crystal.list, crystal.vector .

USAGE:

eda.plot(x, data=T, n.top=NULL, p.top=5, residual=F, 
           name.style=wavelet.options()$name.style, ...) 

REQUIRED ARGUMENTS:

x
any object listed above.

OPTIONAL ARGUMENTS:

data
for objects of class "decompose", "nd.dwt", and "wpt", data can be a logical flag or a numeric vector; for objects of classes "crystal.list", or "crystal.vector", data must be specified as a numeric vector.
n.top
a positive integer
p.top
a number between 0 and 100.
residual
logical flag, used for objects of class "waveshrink" only. See details below.
...
any optional arguments to the relevant boxplot, dotchart, energy.plot or stack.plot.

SIDE EFFECTS:

produces a "pre-packaged" graphical summary on the current graphics device. The types of plots and their layout are determined by the class:
crystals

for cp.crystal and wp.crystal objects, the eda.plot consists of four subplots: a stack.plot of the coefficients and the reconstructed signal from the crystal (top left), an acf (autocorrelation function of the coefficients) plot (top right), a qqnorm plot (bottom left), and a histogram with a plot of the probablity density superimposed (bottom right).

2D-crystals
for cp.crystal.2d and wp.crystal.2d objects, the eda.plot consists of four subplots: a plot of the coefficients (top left), a plot of the reconstructed image, a 2D "acf" plot (bottom left), and a "histogram" and "density" plot (bottom right).
cpt/wpt
for cpt and wpt objects, the eda.plot consists of four subplots: a stack.plot or time.freq.plot (top left), a barplot or energy plot (top right), a boxplot (bottom left), and a tree.plot (bottom right).
2D-cpt/wpt
for cpt.2d and wpt.2d objects, the eda.plot consists of four subplots: a plot of top coefficients (top left), a boxplot (top right), an energy.plot (bottom left), and a dotchart plot (bottom right).
decompose
the eda.plot consists of two subplots: a boxplot (left), and a dotchart plot (right).
dwt
the eda.plot consists of four subplots: a stack.plot or time.freq.plot (top left), a dotchart plot (top right), a boxplot (bottom left), and an energy.plot (bottom right).
molecule
for molecule objects, the eda.plot consists of four subplots: a time.freq.plot (top left), a plot of pcosts (top right), a boxplot (bottom left), and a dotchart plot (bottom right).
nd.dwt
the eda.plot consists of two subplots: a stack.plot (left), and a boxplot (right).
pcosts
for pcosts and pcosts.2d objects, the eda.plot consists of two subplots: a dotchart plot (left), and a pgrid.plot to show the locations of the best.basis (right).
ptable
the eda.plot consists of four subplots: a plot of pcosts (top left), a pgrid.plot to show the locations of the best.basis (top right). a boxplot (bottom left), and an energy.plot which compares the energy compaction of the raw data, best basis, best level, and DCT/DWT (bottom right).
rob.dwt
the eda.plot consists of two subplots: a boxplot (left), and a dotchart plot (right).
waveshrink
the eda.plot consists of four subplots: if residual=T, a stack.plot (top left), an acf plot (top right), a qqnorm plot (bottom left), and histogram with a plot of the probablity density superimposed (bottom right); if residual=T, a stack.plot of the original data, smoothed signal and residuals (top left), a boxplot (top right) for the raw coefficients, a stack.plot for coefficients of the smoothed signal, and a barplot for energy attributable to signal and residual.
crystal.list/vector
for crystal.list, crystal.vector objects, the eda.plot consists of two subplots: a boxplot (left), and a dotchart plot (right).

SEE ALSO:

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