This function is generic (see Methods); method functions can be written to handle specific 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.

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

x:

any object listed above.

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.

• 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).
• 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).
• 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).
• 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).
• the eda.plot consists of two subplots: a boxplot (left), and a dotchart plot (right).
• 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).
• 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).
• the eda.plot consists of two subplots: a stack.plot (left), and a boxplot (right).
• 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).
• 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).
• the eda.plot consists of two subplots: a boxplot (left), and a dotchart plot (right).
• 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.
• for crystal.list, crystal.vector objects, the eda.plot consists of two subplots: a boxplot (left), and a dotchart plot (right).