Thanks, again! Sorry for my misleading expression, I only knew the value is
inquired from a polynomial approximation, but I have no idea how it is done
in such a great detail. It's a great lesson for people like me who want a
deep understanding of the basics.
Sheng
On Thu, Oct 18, 2012 at 11:46
On Oct 19, 2012, at 06:05 , Thomas Lumley wrote:
> On Fri, Oct 19, 2012 at 12:21 PM, Sheng Liu wrote:
>> Thanks a lot. It's very helpful.
>> I've read through the c code. Just FYI and for my completion of the
>> question, I post some of my thought on it:
>> To me it looks like the algorithm is a
On Fri, Oct 19, 2012 at 12:21 PM, Sheng Liu wrote:
> Thanks a lot. It's very helpful.
> I've read through the c code. Just FYI and for my completion of the
> question, I post some of my thought on it:
> To me it looks like the algorithm is actually inquiring through an
> approximation table (the a
Thanks a lot. It's very helpful.
I've read through the c code. Just FYI and for my completion of the
question, I post some of my thought on it:
To me it looks like the algorithm is actually inquiring through an
approximation table (the approximations, at least for pnom, is "derived
from those in "R
On Oct 18, 2012, at 09:55 , Prof Brian Ripley wrote:
>> R is a bit confusing as it requires inverse error function (X =
>> - sqrt(2)* erf-1 (2*P)), while R doesn't have a build in one. The InvErf
>> function most people use is through qnorm( InvErf=function(x)
>
> I think you are wrong about 'mo
On 18/10/2012 00:16, Sheng Liu wrote:
how R implement qnorm()
I wonder anyone knows the mathematical process that R calculated the
quantile?
It's on the help page!
'For qnorm, the code is a C translation of
Wichura, M. J. (1988) Algorithm AS 241: The Percentage Points of the
Normal Distribu
how R implement qnorm()
I wonder anyone knows the mathematical process that R calculated the
quantile?
The reason I asked is soly by curiosity. I know the probability of a normal
distribution is calculated through integrate the Gaussian function, which
can be implemented easily (see code), while
7 matches
Mail list logo