matsquiggle | R Documentation |
Plot a matrix of time series as a var-squiggle display (filled in half traces)
matsquiggle(XMAT, dt1, dist = NULL, thick = 1,
FLIP = FALSE, filcol='blue', tracecol="black", add=FALSE, PLOT=TRUE,xpd=TRUE, plotdir=1 )
XMAT |
matrix of traces |
dt1 |
sample interval, s |
dist |
distance for each trace in the matrix |
thick |
thickness for each trace to be plotted |
FLIP |
logical, FALSE (default) plot horizontal, TRUE=plot vertical |
filcol |
color for shading |
tracecol |
color for trace |
add |
add traces to existing plot |
PLOT |
whether to create a new plotting region |
xpd |
logical, set xpd parameter (see par) |
plotdir |
1=left to right, 0=right to left (default=1) |
see varsquiggle for more details
side effects.
Jonathan M. Lees<jonathan.lees@unc.edu>
varsquiggle, varsquig
data(GH)
m <- match( GH$STNS, GH$stafile$name)
LATS <- GH$stafile$lat[m]
LONS <- GH$stafile$lon[m]
dees <- rdistaz( GH$pickfile$LOC$lat, GH$pickfile$LOC$lon, LATS, LONS)
sel <- which(GH$COMPS=="V")
sel <- sel[order(dees$dist[sel])]
### plot normal way:
### swig(GH, sel=sel, WIN=c(5,10), SHOWONLY=TRUE)
### plot with varsquiggle
### varsquiggle(GH, sel=sel, WIN=c(5,10))
ex <- seq(from=0, by=GH$dt[sel[1]], length=length(GH$JSTR[[sel[1]]]))
wx <- ex>=5 & ex<=10
XMAT <- matrix(ncol=length(sel), nrow=length(which(wx)))
for(i in 1:length(sel))
{
XMAT[,i] <- GH$JSTR[[sel[i]]][wx]
}
matsquiggle(XMAT, GH$dt[sel[1]] , dist = dees$dist[sel] , thick = 1,
FLIP = FALSE)
axis(1)
axis(2)
title(xlab="Time, s", ylab="Distance, km")
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