# warp

0th

Percentile

##### Apply a warping to a given timeseries

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

Keywords
ts
##### Usage
warp(d,index.reference=FALSE)
##### Arguments
d
dtw object specifying the warping curve to apply
index.reference
TRUE to warp a reference, FALSE to warp a query
##### Details

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.

##### Value

A list of indices to subscript the timeseries.

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

• warp
##### Examples
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);

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]);


Documentation reproduced from package dtw, version 1.18-1, License: GPL (>= 2)

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