I have been trying to determine the size of the R user base, and was
asked to share my findings with this mailing list. Although I still
don't have any definite estimate of this number, I do have some
interesting and indicative information:
1. It appears that there are about 100,000 S-PLUS
(Ted Harding) wrote:
1. It appears that there are about 100,000 S-PLUS users.
[...]
Does anyone has any other information that would give some notion as to
the RELATIVE numbers of R and S-PLUS users?
There is one major factor in here. The number of Windows users
in the world is much
Prof Brian Ripley wrote:
Conclusion: Very few books sell to more than 12% of the population of
potential buyers, and most books have a far lower penetration -- 1% or
Where did you get that 12% from?
A booklet on assessing financial feasibility in nonfiction book
publishing. That's a
Your method looks like a naive reimplementation of integration, and
won't work so well for distributions that have the great majority of the
probability mass concentrated in a small fraction of the sample space.
I was hoping for something that would retain the adaptability of
integrate().
Given f, a pdf over a finite interval, is there any existing R function that
can efficiently tabulate the cumulative distribution function for f, or
produce all N+1 quantiles of the form i/N? Efficiently here means better
than doing repeated integrations for each point.
