How about generating the uniform numbers sequentially and keep the running sum
of all the previous numbers. At each step check if the newly generated random
number plus the running sum 1 discard the number and generate a new one,
repeat the condition check. If the new number plus old sum 1
Hello —
I am using inline C functions within foreach %dopar% loop. On SMP (doParallel,
doMP) it works but on MPI-based clusters (doMPI) it does’t. The reason, I
think, is because the object code produced using the inline package,
essentially an .so file, does not get copied onto the worker
/Embedded Controllers) .OO#. .OO#. rocks...1k
---
Sent from my phone. Please excuse my brevity.
On November 14, 2014 7:42:01 AM PST, Mikhail Umorin mike...@gmail.com wrote:
Hello —
I am using inline
Hello —
I am using inline C functions within foreach %dopar% loop. On SMP (doParallel,
doMP) it works but on MPI-based clusters (doMPI) it does’t. The reason, I
think, is because the object code produced using the inline package,
essentially an .so file, does not get copied onto the worker
Hello,
I get a strange compilation error when compiling a cfunction() inline when my C
code functions are compiled in a list with other functions, but not when they
are compiled by themselves. Here is an example:
# begin test.R
library(inline)
a.sig - signature(a1=integer)
a.body - int var
Hello,
I am having trouble installing the package from CRAN. As the package compiles I
get:
* installing *source* package âRDieHarderâ ...
** package âRDieHarderâ successfully unpacked and MD5 sums checked
checking for gcc... gcc
checking for C compiler default output file name...
I am not aware of any such command so, I think, you may have to write one
yourself:
invert the CDF and use uniform random variable (runif) to sample
Mikhail
On Tuesday, June 11, 2013 16:18:59 cassie jones wrote:
Hello R-users,
I am trying to simulate from truncated skew normal
Hello --
For convenience, I would like to use a two dimensional array
inside an inline C function. However, any numeric array in R
is passed to C code as double *. So, how can I cast a (double
*) to a double[][]?
thank you for your time,
Mikhail
[[alternative HTML version deleted]]
-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Mikhail Umorin Sent: 06 June 2013 21:35
To: r-help@r-project.org
Subject: [R] Distance-based non-parametric ANOVA
Hello,
I am comparing treatments by comparing within group to between group
distances like
I shall use this from now on. Thank you.
On Friday, June 07, 2013 19:19:55 Pascal Oettli wrote:
Hello,
You also can use the package sos
findFn('non-parametric multivariate
ANOVA')
Regards,Pascal
2013/6/7 Mikhail Umorin mike...@gmail.com[1]
Hello,
I am comparing treatments by comparing
Ghezzo Ph.D.
Montreal - Canada
From: r-help-boun...@r-project.org [r-help-boun...@r-project.org] on behalf
of Mikhail Umorin [mike...@gmail.com] Sent: Thursday, June 06, 2013 4:34 PM
To: r-help@r-project.org
Subject: [R] Distance-based non-parametric
Hello,
I am comparing treatments by comparing within group to between group distances
like
described in
MJ Anderson. 2001. A new method for non-parametric multivariate analysis of
variance.
Austral Ecology 26: 32 -- 46.
The idea is to find the ratio of within group sum of distance^2 to
/index.html
http://wsopuppenkiste.wiso.uni-goettingen.de/ff/ff_1.0/inst/doc/ff.pdf
Best
Mehmet
On 26 April 2013 18:12, Mikhail Umorin mike...@gmail.com wrote:
Hello,
I am dealing with numeric vectors 10^5 to 10^6 elements long. The values
are sorted (with duplicates) in the vector (v). I am
Hello,
I am dealing with numeric vectors 10^5 to 10^6 elements long. The values are
sorted (with duplicates) in the vector (v). I am obtaining the length of
vectors such as (v c) or (v c1 v c2), where c, c1, c2 are some scalar
variables. What is the most efficient way to do this?
I am
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