Martin Maechler wrote:
> OTOH, type=7 is the default, and I guess used in 99.9% of
> all uses of quantile, *and* does never use any fuzz
Indeed. This also implies that this default should be well-thought when
creating a new implementation of the quantile() procedure for a new programming
> GILLIBERT, Andre
> on Tue, 14 Sep 2021 16:13:05 + writes:
> On 9/14/21 9:22 AM, Abel AOUN wrote:
>> However I don't get why epsilon is multiplied by 4 instead of simply
using epsilon.
>> Is there someone who can explain this 4 ?
> .Machine$double.eps is the
On 9/14/21 9:22 AM, Abel AOUN wrote:
> However I don't get why epsilon is multiplied by 4 instead of simply using
> epsilon.
> Is there someone who can explain this 4 ?
.Machine$double.eps is the "precision" of floating point values for values
close to 1.0 (between 0.5 and 2.0).
Using fuzz =
On 9/14/21 9:22 AM, Abel AOUN wrote:
Hello,
I'm currently working on Python numpy package to develop linear interpolation
methods for quantiles.
Currently, numpy only support the type 7 of Hyndman & Fan and I did the
implementation for the 8 other methods to do as much as R ::quantile.
As
Hello,
I'm currently working on Python numpy package to develop linear interpolation
methods for quantiles.
Currently, numpy only support the type 7 of Hyndman & Fan and I did the
implementation for the 8 other methods to do as much as R ::quantile.
As you may guess, I was inspired by R
