set.seed(13)
smat <- spam_random(8)
par(mfcol=c(1,2), pty='s')
options(spam.imagesize = 1000)
display(smat)
options(spam.imagesize = 10)
display(smat, cex=.25)
# very large but very sparse matrix
smat <- spam_random(2^14, distribution=rnorm, density=1e-5, verbose=TRUE)
par(mfcol=c(1, 1), mai=c(.4,.4,.1,.1), pty='s')
display(smat)
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