epgplot(polhom.epg[10,])
# as above but between times 1295 ms and 1330 ms
epgplot(polhom.epg[10,], xlim=c(1295, 1330))
# the same as above, but the data is first
# converted to a 3D palatographic array
p <- palate(polhom.epg[10,])
epgplot(p, xlim=c(1295, 1330))
# plot palatograms 2 and 8
epgplot(p[,,c(2, 8)])
# as above but
# no gridlines, different colour, numbering rather than times
epgplot(p[,,c(2, 8)], gridlines=FALSE, col="pink", numbering=TRUE)
# as above but with a user-specified title
epgplot(p[,,c(2, 8)], gridlines=FALSE, col="pink", numbering=c("s1", "s2"))
# plot the palatograms in the second
# segment of coutts.epg that are closest in time
# to 16377 ms and 16633 ms
epgplot(coutts.epg[2,], c(16377, 16633))
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