generate random number

Please note that "a" is given by "b" (or vice versa), because the 
integral from x1 to x2 of f(x)dx must be 1. 

      I have solved this kind of problem by writing density functions, 
cumulative distribution functions, quantile and random number functions 
as a set of 4, using different ones to help check the others.  If your 
distribution is "ss", then the standard S naming convention would have 
dss, pss, qss, and rss for density, probability (cdf), quantile (inverse 
cdf) and random number generation.  See, e.g., "?runif" for a typical 
argument convention. 

      Note that rss <- function(n, ...)pss(runif(n), ...)

      hope this helps.  spencer graves

Hi

I would like to generate some(ss) random numbers from a density 
distribution f(x).
In my case f(x) = a*exp(b*x),  ex. a=2, b=0.5,   and x is only defined 
between x1 and x2,  ex.  from -6 to -2.5.

Any suggestions? Can I use rexp?

Thanks,
Ragnhild

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