geometric distribution Alejandra Gonzalez-Beltran Orlaith Burke Philippe Rocca-Serra dgeom(x, prob, log = FALSE) http://stat.ethz.ch/R-manual/R-patched/library/stats/html/Geometric.html http://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.geom.html#scipy.stats.geom http://stat.ethz.ch/R-manual/R-patched/library/stats/html/Geometric.html http://www.mathworks.co.uk/help/stats/geometric-distribution.html the geometric distribution is a negative binomial distribution where r is 1. It is useful for modeling the runs of consecutive successes (or failures) in repeated independent trials of a system. The geometric distribution models the number of successes before one failure in an independent succession of tests where each test results in success or failure. The geometric distribution with prob = p has density p(x) = p (1-p)^x for x = 0, 1, 2, …, 0 < p ≤ 1. If an element of x is not integer, the result of dgeom is zero, with a warning. The quantile is defined as the smallest value x such that F(x) ≥ p, where F is the distribution function. negative binomial distribution ready for release