urate sum than your simple
version.
Best,
luke
On Fri, 16 Mar 2018, Pierre Chausse wrote:
Hi all,
I found a discrepancy between the sum() in R and either a sum done in
C or Fortran for vector of just 5 elements. The difference is very
small, but this is a very small part of a much larger
Hi all,
I found a discrepancy between the sum() in R and either a sum done in C
or Fortran for vector of just 5 elements. The difference is very small,
but this is a very small part of a much larger numerical problem in
which first and second derivatives are computed numerically. This is
If R and ghostcript are installed on the server that hosts you webpage,
it is easy. All you need is a minimum of php. I started with doR (which
I think does not exist anymore) and modified it. Even better, some
people offers a solution for you. Here is a GPL licenced solution.
Hi all,
I am looking for a function similar to mclapply() that would work with
GPU cores. I have looked at all possible packages related to GPU
computing but they are mainly providing functionality for big dataset or
big matrices. I use mainly mclapply to speed up simulations by running
I have a suggestion for kernapply for ts objects. When we choose the
option circular=F, the returned series don't have the correct dates. The
removed dates are all at the beginning instead of half at the beginning
and half at the end. It is particularly useful when we need to smooth
the series
On 02/11/11 12:20 PM, Prof Brian Ripley wrote:
On Wed, 2 Nov 2011, Pierre Chausse wrote:
I have a suggestion for kernapply for ts objects. When we choose the
option circular=F, the returned series don't have the correct dates. The
That's a matter of opinion. A kernel is applied in the same
The warning about absolute error == 0 would not be sufficient
because if you do
integrate(dnorm, 0, 5000)
2.326323e-06 with absolute error 4.6e-06
We get reasonable absolute error and wrong answer. For very high upper
bound, it seems more stable to use Inf. In that case, another
.External
Hi,
There is a small bug in the kernel() function. Everything is fine when
we use the format:
kernel(name,m,r)
but if we want the first argument to be a vector, which is useful is we
are interested in using a method not implemented in kernel(), the
default value of m is wrong. For example,
