Displaying 20 results from an estimated 13163 matches for "integrative".

2013 Jan 17

1

Fwd: Re: Inconsisten declaration of ssh_aes_ctr_iv()

Oops, I meant to CC the list on this.
--
Iain
----- Forwarded message from Iain Morgan <Iain.Morgan at nasa.gov> -----
Date: Thu, 17 Jan 2013 14:51:01 -0800
From: Iain Morgan <Iain.Morgan at nasa.gov>
To: Damien Miller <djm at mindrot.org>
Subject: Re: Inconsisten declaration of ssh_aes_ctr_iv()
On Wed, Jan 16, 2013 at 21:26:39 -0600, Damien Miller wrote:
> On Mon, 14 Jan

2010 Dec 02

4

Integral of PDF

The integral of any probability density from -Inf to Inf should equal 1, correct? I don't understand last result below.
> integrate(function(x) dnorm(x, 0,1), -Inf, Inf)
1 with absolute error < 9.4e-05
> integrate(function(x) dnorm(x, 100,10), -Inf, Inf)
1 with absolute error < 0.00012
> integrate(function(x) dnorm(x, 500,50), -Inf, Inf)
8.410947e-11 with absolute error <

2011 Jun 06

2

Taking Integral and Optimization using Integrate, Optim and maxNR

Dear All, Hello!
I have some questoins in R programming as follows:
Question 1- How to take the integral of this function with respect to y, such that x would appear in the output after taking integral.
f(x,y)=(0.1766*exp(-exp(y+lnx))*-exp(y+lnx))/(1-exp(-exp(y+lnx))) y in (-6.907,-1.246)
It is doable in maple but not in R. At least I could not find the way.
p.s: result from maple is:

2005 Jul 28

3

using integrate with optimize nested in the integration

Hi guys
im having a problem getting R to numerically integrate for some function,
say f(bhat)*optimize(G(bhat)), over bhat. Where id like to integrate this over some finite range, so that here as we integrate over bhat optimize would return a different optimum.
For instance consider this simple example for which I cannot get R to return the desired result:
f <- function(bhat) exp(bhat)
g

2007 Aug 22

3

integrate

Hi,
I am trying to integrate a function which is approximately constant
over the range of the integration. The function is as follows:
> my.fcn = function(mu){
+ m = 1000
+ z = 0
+ z.mse = 0
+ for(i in 1:m){
+ z[i] = rnorm(1, mu, 1)
+ z.mse = z.mse + (z[i] - mu)^2
+ }
+ return(z.mse/m)
+ }
> my.fcn(-10)
[1] 1.021711
> my.fcn(10)
[1] 0.9995235
> my.fcn(-5)
[1] 1.012727
>

2007 Dec 17

3

integration

Dear All,
I need to perform a numerical integration of one dimensional
fucntions. The extrems of integration are both finite and the functions
I'm working on are quite complicated. I have already tried both area()
and integrate(), but they do not perform well: area() is very slow and
integrate() does not converge. Are in R other functions for numerical
integration of one dimentional

2008 Mar 12

3

Types of quadrature

Dear R-users
I would like to integrate something like \int_k^\infty (1 - F(x)) dx, where F(.) is a cumulative distribution function. As mentioned in the "integrate" help-page: integrate(dnorm,0,20000) ## fails on many systems. This does not happen for an adaptive Simpson or Lobatto quadrature (cf. Matlab). Even though I am hardly familiar with numerical integration the implementation

2007 Dec 06

1

Integral implicit function

Hi,
Could somebody help me with the following. I want to calculate the integral over an implicit function. I thought to integrate over a function depending on uniroot. In previous topics I found a thread about finding the root of an integral. And that works. But the other way around, does not work. Does R support this?
I included the following example. The function in the example is very easy

2010 Jun 23

3

integrate dmvtnorm

Hello, everyone,
I have a question about integration of product of two densities.
Here is the sample code; however the mean of first density is a function of
another random variable, which is to be integrated.
##
f=function(x) {dmvnorm(c(0.6, 0.8), mean=c(0.75, 0.75/x))*dnorm(x, mean=0.6,
sd=0.15)}
integrate(f, lower=-Inf, upper=Inf)
## error message
Error in dmvnorm(c(0.6, 0.8), mean =

2011 Jun 22

1

numerical integration and 'non-finite function value' error

Dear R users,
I have a question about numerical integration in R.
I am facing the 'non-finite function value' error while integrating the
function
xf(x)
using 'integrate'. f(x) is a probability density function and assumed to
follow the three parameter (min = 0) beta distribution for which I have
estimated the parameters. The function is integrated

2004 Sep 13

1

an integration question

Dear all,
I'm stuck on a problem concerning integration..Results from the analytical
expression and numerical approximation (as returned by integrate()) do not
match.
It probably depends on some error of mine, so apologizes for this off-topic
question.
I'm interested in computing the integral of f where:
f<-function(x){exp(-3-.2*pmin(x-7.5,0))}
x<-seq(0,15,length=50)
plot(x,

2007 Jan 12

5

Integration Testing - Wait, Watir, or Selenium

I''m evaluating what to use for integration testing:
SafariWatir
- integrates nicely with RSpec
- doesn''t work with Ajax because of Safari event firing issues
Selenium
- Works with Ajax
- doesn''t integrate with RSpec
What is the best guess timeframe for RSpec integration testing?
Will it be able to test Ajax application in the early iterations?
Thanks,
Brian Yamabe

1999 Nov 09

0

Re: numerical integration {better than integrate(.)} ?

>
> {{I first wanted to send this to R-devel;
> but then thought, maybe first hear of you all..
> and added a bit more
>
> Still could ask on R-devel later -- MM}
>
> - In R, there's currently the "integrate" package from Mike Meyer, ported to
> R by Thomas Lumley which really relies on multi-dimensional integration
> "adapt" and

2006 Apr 06

1

Integrics ITSP 1.6 released

Integrics is pleased to announce the release of ITSP version 1.6. This
version has the following new features:
- Comes in 2 editions:
* Carrier edition, for 250 to tens of thousands of users on hosted
systems. Integrics sells this edition directly and through partners.
* Office edition, for 10 to 250 users. This edition is sold only
through our partners, for them to sell as PBX systems at

2011 Dec 22

0

[RESEND] [PATCH v2] Btrfs: runtime integrity check tool

Sigh. In the previously sent v2 patch the mail 1/4 exceeded the archaic
100,000 chars limit of vger.kernel.org (no complains from checkpatch.pl
though). Therefore I now prepared a git-daemon for pulling.
Please pull from
git://btrfs.giantdisaster.de/git/btrfs integrity-check-patch-v2
Changes v1-v2:
- Merge with updated disk flush code
- Use bdevname to print the

2007 Mar 19

3

rSpec on Rails Integration Testing

I see that there is an integration testing example in the plugin
code. What is the thinking about integration specs?
Thanks,
Steve

2008 Apr 26

1

integration error when I use "optim" and "integrate" simultaneously

Dear R users,
When I use two functions, 'optim' and 'integrate', simultaneously, I always
get an error like this
--------------------------------------------------------------------------
numint = function(z) {
dlnorm(z,mu[1],sqrt(exp(g[1]))) *
dnorm((z-mu[2])/sqrt(exp(g[2])))/sqrt(exp(g[2]))
}
integrate(numint,lower=0,upper=Inf)$value
Error in integrate(numint, lower

2004 Jun 08

2

Integration with a Siemens HiCom 150E / HiPath 3750

Hi * :-)
I found in the online WiKi docs some information on how to integrate
Asterisk with "old PBX"...
http://www.voip-info.org/wiki-Asterisk+legacy+integration
...but I couldn't find anything on integration with a Siemens HiCom
150E. Later on we'll migrate to a HiPath 3750 so information covering
this model would be nice too...
Do you know if any of the

2010 Jun 15

2

Integration problem: error in invoking an outside function

Dear all,
Currently I am trying to integrate a function which depends on four
variables, two of which are given, one is given in the integrate function,
so there is one variable to integrate on.
The code is as follows:
Pmatrix =
function(th) {
P = matrix(nrow=6, ncol=6, data=0)
P[1,1] = P[2,1]=P[3,2]=P[4,3]=P[5,4]=P[6,5]= exp(-th)
P[,6] = 1-exp(-th)
return(P)}
lim.verd =

2013 Jan 30

2

Integration of mixed normal distribution

Hi,
I already found a conversation on the integration of a normal
distribution and two
suggested solutions
(https://stat.ethz.ch/pipermail/r-help/2007-January/124008.html):
1) integrate(dnorm, 0,1, mean = 0, sd = 1.2)
and
2) pnorm(1, mean = 0, sd = 1.2) - pnorm(0, mean = 0, sd = 1.2)
where the pnorm-approach is supposed to be faster and with higher precision.
I want