############################################################### # # # (c) Toni Giorgino # # Laboratory for Biomedical Informatics # # University of Pavia - Italy # # www.labmedinfo.org # # # # $Id: plot.dtw.R 67 2007-12-26 12:38:01Z tonig $ # # ############################################################### ## Plot a dtw non-object, switching depending on requested type plot.dtw <- function(x, type="alignment", ...) { pt<-pmatch(type,c("alignment", "twoway", "threeway", "density")); switch(pt, dtwPlotAlignment(x, ...), dtwPlotTwoWay(x, ...), dtwPlotThreeWay(x, ...), dtwPlotDensity(x, ...) ); } ## an alias dtwPlot <- plot.dtw; dtwPlotAlignment <- function(d, xlab="Query index", ylab="Template index", ...) { plot( d$index1,d$index2, xlab=xlab,ylab=ylab, ... ); } ## Normalization plots the average cost per step instead of ## the cumulative cost dtwPlotDensity <- function(d, normalize="no", xlab="Query index", ylab="Template index", ...) { cm<-d$costMatrix; if(is.null(cm)) stop("dtwPlotDensity requires dtw internals (set keep.internals=TRUE on dtw() call)"); ## We can safely modify x locally nt<-pmatch(normalize,c("N","N+M")); if(!is.na(nt)) { cm <- cm / switch(nt, row(cm), row(cm)+col(cm)); } xd<-dim(cm)[1]; yd<-dim(cm)[2]; image(cm,col=terrain.colors(100),x=1:xd,y=1:yd, xlab=xlab,ylab=ylab, ...); contour(cm,x=1:xd,y=1:yd,add=TRUE); lines(d$index1,d$index2,col="blue",lwd=2); } ## Well-known and much-copied pairwise matching dtwPlotTwoWay <- function(d,xts=NULL,yts=NULL, offset=0, type="o",pch=21, xlab="Index", ylab="Query value", match.col="gray70", ... ) { if(is.null(xts) || is.null(yts)) stop("Original timeseries are required"); ytso<-yts+offset; ## pad to longest maxlen<-max(length(xts),length(ytso)); length(xts)<-maxlen; length(ytso)<-maxlen; ## save default, for resetting... def.par <- par(no.readonly = TRUE); ## plot q+t matplot(cbind(xts,ytso), type=type,pch=pch, xlab=xlab, ylab=ylab, ...); ## display secondary axis if offset if(offset!=0) { axt<-axTicks(2); axis(4,at=axt+offset,labels=axt); } ## plot the matching # par(par.match); ml<-length(d$index1); idx<-1:ml; ## x0, y0 coordinates of points from which to draw. ## x1, y1 coordinates of points to which to draw. segments(d$index1[idx],xts[d$index1[idx]], d$index2[idx],ytso[d$index2[idx]], col=match.col); par(def.par)#- reset to default } ## ################################################## ## Global distance density plot dtwPlotThreeWay <- function(d,xts=NULL,yts=NULL,type.align="p",type.ts="l", margin=4, inner.margin=0.2, title.margin=1.5, xlab="Query index",ylab="Template index",main="Timeseries alignment", ... ) { # xts<-x; yts<-y; if(is.null(xts) || is.null(yts)) stop("Original timeseries are required"); def.par <- par(no.readonly = TRUE) # save default, for resetting... layout(matrix(c(3,1,0,2),2,2,byrow=TRUE), c(1,3), c(3,1), TRUE); imar<-inner.margin; bmar<-margin; lmar<-margin; tmar<-margin+title.margin; rmar<-margin; mlab=margin/2; mtex=margin/6; nn<-length(xts); mm<-length(yts); par(mar=c(imar,imar,tmar,rmar)); plot(d$index1,d$index2,type=type.align,main=main,ax=FALSE); box(); par(mar=c(bmar,imar,imar,rmar)); plot(xts ~ c(1:nn) , type=type.ts ,xlab=xlab ,mgp=c(mlab,mtex,0) ,ax=FALSE ); axis(1); axis(2); box(); par(mar=c(imar,lmar,tmar,imar)); plot(c(1:mm) ~ yts , type=type.ts ,ylab=ylab ,mgp=c(mlab,mtex,0) , ax=FALSE ); axis(3); axis(2); box(); par(def.par)#- reset to default }