Re: [R] Approximating discrete distribution by continuous distribution

2013-01-22 Thread peter dalgaard
On Jan 22, 2013, at 13:45 , Prof Brian Ripley wrote: > On 22/01/2013 11:49, Michael Haenlein wrote: >> Dear all, >> >> I have a discrete distribution showing how age is distributed across a >> population using a certain set of bands: >> >> Age <- matrix(c(74045062, 71978405, 122718362, 40489415

Re: [R] Approximating discrete distribution by continuous distribution

2013-01-22 Thread Prof Brian Ripley
On 22/01/2013 11:49, Michael Haenlein wrote: Dear all, I have a discrete distribution showing how age is distributed across a population using a certain set of bands: Age <- matrix(c(74045062, 71978405, 122718362, 40489415), ncol=1, dimnames=list(c("<18", "18-34", "35-64", "65+"),c())) Age_dist

Re: [R] Approximating discrete distribution by continuous distribution

2013-01-22 Thread Barry Rowlingson
On Tue, Jan 22, 2013 at 11:49 AM, Michael Haenlein wrote: > I would like to find a continuous approximation of this discrete > distribution in order to estimate the probability that a person is for > example 16 years old. Given that people age continuously (and continually...), you sound like y

[R] Approximating discrete distribution by continuous distribution

2013-01-22 Thread Michael Haenlein
Dear all, I have a discrete distribution showing how age is distributed across a population using a certain set of bands: Age <- matrix(c(74045062, 71978405, 122718362, 40489415), ncol=1, dimnames=list(c("<18", "18-34", "35-64", "65+"),c())) Age_dist <- Age/sum(Age) For example I know that 23.94