# RndPairs

0th

Percentile

##### Create Pairs of Correlated Random Numbers

Create pairs of correlated random numbers.

Keywords
distribution, IO
##### Usage
RndPairs(n, r, rdist1 = rnorm(n = n, mean = 0, sd = 1), rdist2 = rnorm(n = n, mean = 0, sd = 1))
RndWord(size, length, x = LETTERS, replace = TRUE, prob = NULL)
##### Arguments
n
number of pairs. If length(n) > 1, the length is taken to be the number required.

r
the correlation between the two sets.

rdist1, rdist2
the distribution of the random vector X1 and X2. Default is standard normal distribution.

size
a non-negative integer giving the number of artificial words to build.
length
a non-negative integer giving the length of the words.
x
elements to choose from.
replace
Should sampling be with replacement?
prob
a vector of probability weights for obtaining the elements of the vector being sampled.
##### Value

runif, rnorm, Random and friends

• RndPairs
• RndWord
##### Examples
# 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(X2 ~ X1,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))

Documentation reproduced from package DescTools, version 0.99.19, License: GPL (>= 2)

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