Re: [R] estimating quantiles from binned data

2003-09-14 Thread Prof Brian Ripley
On 14 Sep 2003, Russell Senior wrote: > > "Spencer" == Spencer Graves <[EMAIL PROTECTED]> writes: > > Russell> Suppose I have a set of binned data, counts exceeding a > Russell> series of arbitrary thresholds, a total N, a minimum and > Russell> maximum, those sorts of things. Is there a "st

Re: [R] estimating quantiles from binned data

2003-09-14 Thread Russell Senior
> "Spencer" == Spencer Graves <[EMAIL PROTECTED]> writes: Russell> Suppose I have a set of binned data, counts exceeding a Russell> series of arbitrary thresholds, a total N, a minimum and Russell> maximum, those sorts of things. Is there a "standard" method Russell> for estimating arbitrary

Re: [R] estimating quantiles from binned data

2003-09-14 Thread Spencer Graves
Have you considered making a normal probability plot? This should help you evaluate the appropriatness of interpolating a log-normal. The image of a mixture of lognormals would suggest limits on the accuracy of such interpolation. hope this helps. spencer graves Russell Senior wrote: Suppose

[R] estimating quantiles from binned data

2003-09-14 Thread Russell Senior
Suppose I have a set of binned data, counts exceeding a series of arbitrary thresholds, a total N, a minimum and maximum, those sorts of things. Is there a "standard" method for estimating arbitrary quantiles from this? My initial thought is that the counts and min/max give me solutions at vario