```
# produce 100 pairs of a normal distributed random number with a correlation of 0.7
d.frm <- RndPairs(n=100, r=0.7)
plot(d.frm)
lines(lm(y ~ x,d.frm))
# change the distribution
d.frm <- RndPairs(n=100, r=0.7, rdist2 = rlnorm(n = 100, meanlog = 1, sdlog = .8))
d.frm <- RndPairs(n=100, r=0.7, rdist2 = runif(n = 100, -1, 4))
x <- StrCap(sapply(sample(3:15, 10), function(i) RndWord(1, i, x=letters)))
# produce some artificial words with defined probabilities for the letters
p <- c(6.51,1.89,3.06,5.08,17.4,1.66,3.01,4.76,7.55,0.27,1.21,3.44,2.53,
9.78,2.51,0.79,0.02,7,7.27,6.15,4.35,0.67,1.89,0.03,0.04,1.13)
sapply(sample(3:15, 10), function(i) RndWord(1, i, x=letters, prob=p))
# produce associated ordinal variables
d.ord <- RndPairs(500, r=0.8, prop = list(c(.15, .3, .55),
c(.3, .5, .2)))
levels(d.ord$y) <- levels(d.ord$x) <- LETTERS[1:3]
PlotMosaic(table(d.ord$x, d.ord$y), las=1, main="")
```

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