wrote:
> >>
> >> On 06/07/2018 1:18 PM, Berry, Charles wrote:
> >>> A liitle math goes along way. See below.
> >>>> On Jul 5, 2018, at 10:35 PM, Marino David
> wrote:
> >>>>
> >>>> Dear Bert,
> >>>>
> &
> Ben
>
> On Jul 6, 2018, at 1:35 AM, Marino David wrote:
>
> Dear Bert,
>
> I know it is a simple question. But for me, at current, I fail to implement
> it. So, I ask for help here.
>
> It is not homework.
>
> Best,
>
> David
>
> 2018-07-06 13:
Cheers,
> Bert
>
>
>
> Bert Gunter
>
> "The trouble with having an open mind is that people keep coming along and
> sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>
> On Thu, Jul 5, 2018 at 10:23 PM, Ma
Dear All,
I would like to generate N random Bernoulli draws given a probability
function F(x)=1-exp(-2.5*x) in which x follows uniform distribution, say
x~U(0,2).
Can some one leave me some code lines for implementing this?
Thanks in advance.
David
[[alternative HTML version deleted]]
Hi all R users:
Does anybody have the experience of running an external software in R? I
try to use R to run ANSYS software, which is a engineering simulation
package. I ever have done this task in Matlab platform by executing
the following code line:
system('"C:\Program Files\Ansys Inc\v100\ANSY
d here.
>
> Cheers,
> Bert
>
> Bert Gunter
> Genentech Nonclinical Biostatistics
> (650) 467-7374
>
> "Data is not information. Information is not knowledge. And knowledge
> is certainly not wisdom."
> Clifford Stoll
>
>
>
>
> On Tue, Ju
Hi all r-mailling listers:
Can anyone explain the theory (or the formula) about computing Sum Sq
(color highligh below) related to regression items? The link of Wikipedia (
http://en.wikipedia.org/wiki/Partition_of_sums_of_squares) gives an
introduction on how to calculate the total, model, and r
Anyway, thanks for all your response. These two sets of data are similar.
let's assume them are obtained from two experimental setups but at
the situation, so they are more similar but not the same because measure
error may be involved. I hope I can chose a set of data with a better
normal feature
Hi R mailing listers:
Assume that there are two sets of data (denoted as A and B) with the same
size, say 100X1. And I try to select a new set of data (100X1) that has a
better normal feature from these two sets. Better normal feature means
that the histogram shape of the constructed set of dat
Thanks Hervé Pagès and A. K.. It works.
Thank you!
David
2013/12/14 Hervé Pagès
> Hi David,
>
>
> On 12/14/2013 01:06 PM, Marino David wrote:
>
>> Hi all:
>>
>> Assume that I have variables, say v1, v2,...,v100 and I want to use one
>> variable in
Hi all:
Assume that I have variables, say v1, v2,...,v100 and I want to use one
variable in each roop. How can I do this? See below
for (i in 1:100){
f(vi)
}
Thanks
David
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing
Hi all:
The CODA package provides Geweke Diagnostic method for convergence
checking. The geweke.diag in CODA returns Z-score value but not give a
conclustion that it is convergence or not. So I'd like to know how
small/big the magnitude of Z-score is corresponding to the convergence of
a chain. T
Greatly enrich my mind.
Thank you!
David
2013/10/16 Spencer Graves
> On 10/15/2013 5:37 PM, Marino David wrote:
>
> Hi Spencer:
>
> Thanks for your interpretation again and again. Your statement does
> enable me to have a good understanding of Gaussian quadrature.
>
&
unction you want using
> the distr package to compute the distribution of f(X) and E{distrEx} to
> compute the expected value?
>
>
> Best Wishes,
> Spencer
>
>
> p.s. Could you please post a summary of this exchange to R-help, so
> someone else with a similar
erwise, as
> described in the Wikipedia article on "orthogonal polynomials".
>
>
> On 10/10/2013 5:02 PM, Marino David wrote:
>
> Hi all,
>
> We know that Hermite polynomial is for
> Gaussian, Laguerre polynomial for Exponential
> distribution, Legendre
Hi all,
We know that Hermite polynomial is for
Gaussian, Laguerre polynomial for Exponential
distribution, Legendre polynomial for uniform
distribution, Jacobi polynomial for Beta distribution. Does anyone know
which kind of polynomial deals with the log-normal, Students t, Inverse
gamma and Fis
You got the point. Thank you for pointing out the problem.
Thanks again.
David
2013/8/30 Duncan Murdoch
> On 29/08/2013 1:37 PM, Marino David wrote:
>
>> Hi all R users:
>>
>>
>>
>> I am a little bit confused about the following results. See as
Hi all R users:
I am a little bit confused about the following results. See as follows:
library(mvtnorm)
xMean<-c(24.12,66.92,77.65,131.97,158.8)
xVar<-c(0.01,0.06,0.32,0.18,0.95)
xFloor<-floor(xMean)
# use mvtnorm package
p1<-dmvnorm(xFloor,mean=xMean,sigma=diag(xVar))
p2<-dmvnor
Thanks a lot. It works
2013/8/23 Berend Hasselman
>
> On 23-08-2013, at 07:40, Marino David wrote:
>
> > Hi all R mailing listers:
> >
> > I am using the coda package. I tried to view the source of HPDinterval
> code
> > by typing fix(HPDinterval), it d
Hi all R mailing listers:
I am using the coda package. I tried to view the source of HPDinterval code
by typing fix(HPDinterval), it dispalys as follows:
function (obj, prob = 0.95, ...)
UseMethod("HPDinterval")
Then I search the answers about this case (see below), it still failed.
Thank you in
and 1.
2013/6/10 David Winsemius
>
> On Jun 9, 2013, at 4:08 PM, Marino David wrote:
>
> > The author has already gave the illustration and solution as well.
> >
>
> Is that supposed to mean that you emailed the author and got a private
> response?
>
> &g
The author has already gave the illustration and solution as well.
Thanks.
2013/6/9 Uwe Ligges
>
>
> On 08.06.2013 00:54, Marino David wrote:
>
>> Dear all mailing listers,
>>
>> Does Anyone have the same problem as mine when using the fast99
>> (extended
Dear all mailing listers,
Does Anyone have the same problem as mine when using the fast99
(extended-FAST method) to perform SA of model with norm distribution inputs?
See the simple example given following.
Any suggestion will be greatly appreciated.
Thank you!
Marino
# Simple example
# 1.
atC(pi,digits=10,format="f")
> > z
> [1] "3.1415926536"
>
> If this still is not clear to you, I give up, as I do not know how to
> make it any clearer. Perhaps someone else can.
>
> -- Bert
>
>
> On Thu, Mar 7, 2013 at 4:24 PM, Marino David
> wro
that
is 3.1415926536. How to do it?
Thanks
Marin
2013/3/8 Marino David
> Hi Bert,
>
> I want to save the data into .txt file for another software process.
>
> Thanks for suggestion.
>
> 2013/3/8 Bert Gunter
>
>> ?write.table
>>
>> which says
pen" (see options), but with the internal equivalent
> of digits=15. For finer control, use format to make a character
> matrix/data frame, and call write.table on that. "
>
> Not sure if this is what you want, as "export" is rather vague.
>
> -- Bert
>
> On
Hi all mailing listers,
I want to export data with specified precision into .txt file. How can I
make it? See below
sprintf("%.10f",pi)
[1] "3.1415926536"
when carry out write.matrix(pi,"pi.txt"), 3.141592653589793115998 in pi.txt
file not with 10 decimal places like using sprintf("%.10f",pi)
Dear all mailing listers,
I failed in install source packages in Windows system. I have installed
Rtools in order to install the source package based on the discussion
available on the following link:
http://r.789695.n4.nabble.com/Installing-a-Package-tar-gz-in-windows-td3411393.html.
By the way,
Dear all mailing listers,
I failed in install source packages in Windows system. I have installed
Rtools in order to install the source package based on the discussion
available on the following link:
http://r.789695.n4.nabble.com/Installing-a-Package-tar-gz-in-windows-td3411393.html.
By the way,
29 matches
Mail list logo
