warp: Apply a warping to a given timeseries
In dtw: Dynamic time warping algorithms

Description Usage Arguments Details Value Author(s) See Also Examples

Returns the indexing required to apply the optimal warping curve to a given timeseries (warps either into a query or into a reference).

1	warp(d,index.reference=FALSE)

`d`	`dtw` object specifying the warping curve to apply
`index.reference`	`TRUE` to warp a reference, `FALSE` to warp a query

The warping is returned as a set of indices, which can be used to subscript the timeseries to be warped (or rows in a matrix, if one wants to warp a multivariate time series). In other words, warp converts the warping curve, or its inverse, into a function in the explicit form.

Multiple indices that would be mapped to a single point are averaged, with a warning. Gaps in the index sequence are filled by linear interpolation.

A list of indices to subscript the timeseries.

Toni Giorgino

Examples in dtw show how to graphically apply the warping via parametric plots.

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

alignment<-dtw(query,reference);


wq<-warp(alignment,index.reference=FALSE);
wt<-warp(alignment,index.reference=TRUE);

old.par <- par(no.readonly = TRUE);
par(mfrow=c(2,1));

plot(reference,main="Warping query");
  lines(query[wq],col="blue");

plot(query,type="l",col="blue",
  main="Warping reference");
  points(reference[wt]);

par(old.par);


##############
##
## Asymmetric step makes it "natural" to warp
## the reference, because every query index has
## exactly one image (q->t is a function)
##

alignment<-dtw(query,reference,step=asymmetric)
wt<-warp(alignment,index.reference=TRUE);

plot(query,type="l",col="blue",
  main="Warping reference, asymmetric step");
  points(reference[wt]);