dtwPlot: Plotting of dynamic time warp results

In dtw: Dynamic time warping algorithms

Description

Methods for plotting dynamic time warp alignment objects returned by dtw.

Usage

## S3 method for class 'dtw'
plot(x, type="alignment", ...)

# an alias for dtw.plot
dtwPlot(x, type="alignment", ...)

dtwPlotAlignment(d, xlab="Query index", ylab="Reference index",
                    plot.type="l", ...)
dtwPlotDensity(d, normalize=FALSE,
		  xlab="Query index", ylab="Reference index",
                  ...)

Arguments

x,d	dtw object, usually result of call to dtw
xlab	label for the query axis
ylab	label for the reference axis
type	general style for the alignment plot
plot.type	type of line to be drawn, used as the type argument in the underlying plot call
normalize	show per-step average cost instead of cumulative cost
...	additional arguments, passed to plotting functions

Details

dtwPlot displays alignment contained in dtw objects.

Various plotting styles are available, passing strings to the type argument (may be abbreviated):

• alignmentplots the warping curve in d

• twowayplots a point-by-point comparison, with matching lines

• threewayvis-a-vis inspection of the timeseries and their warping curve

• densitydisplays the cumulative cost landscape with the warping path overimposed

For two-way plotting, see documentation for function dtwPlotTwoWay.

For three-way plotting, see documentation for function dtwPlotThreeWay.

If normalize is TRUE, the average cost per step is plotted instead of the cumulative one. Step averaging depends on the stepPattern used.

Additional parameters are carried on to the plotting functions: use with care.

Warning

These functions are incompatible with mechanisms for arranging plots on a device: par(mfrow), layout and split.screen.

Note

The density plot is more colorful than useful.

Author(s)

Toni Giorgino

See Also

dtwPlotTwoWay for details on two-way plotting function. dtwPlotThreeWay for details on three-way plotting function.

Examples

## Same example as in dtw

idx<-seq(0,6.28,len=100);
query<-sin(idx)+runif(100)/10;
reference<-cos(idx)

alignment<-dtw(query,reference,keep=TRUE);


## A profile of the cumulative distance matrix
## Contour plot of the global cost

dtwPlotDensity(alignment,
  main="Sine/cosine: symmetric  alignment, no constraints")



######
##
## A study of the "Itakura" parallelogram
##
## A widely held misconception is that the "Itakura parallelogram" (as
## described in the original article) is a global constraint.  Instead,
## it arises from local slope restrictions. Anyway, an "itakuraWindow",
## is provided in this package. A comparison between the two follows.


## The local constraint: three sides of the parallelogram are seen

dtw(query,reference,keep=TRUE,step=typeIIIc)->ita;
dtwPlot(ita,type="density",
        main="Slope-limited asymmetric step (Itakura)")

## Symmetric step with global parallelogram-shaped constraint. Note how
## long (>2 steps) horizontal stretches are allowed within the window.

dtw(query,reference,keep=TRUE,window=itakuraWindow)->ita;
dtwPlot(ita,type="density",
        main="Symmetric step with Itakura parallelogram window")

dtw documentation built on May 2, 2019, 5:55 p.m.