These files are not part of R (and are not supported here), but Google seems to
recognise them... I put "rclimdex.r" in and some hits came up right away.
---
Jeff NewmillerThe . . Go
Hi Aun,
It looks like you haven't installed the DBI package, which seems to be
required by the hgu133acdf package. Try installing DBI first.
Jim
On Sun, Aug 30, 2015 at 12:57 PM, aun syed via R-help
wrote:
> Dear R administration,
> i have installed R x64 3.2.2 and i am trying to install annota
Hi Ramesh,
This may be completely wrong, but did you transfer the R source code files
from your old computer to your new one? They won't just appear when you
load R 3.2.1 on a computer.
Jim
On Sun, Aug 30, 2015 at 12:17 PM, ramesh shrestha via R-help <
r-help@r-project.org> wrote:
> Dear Sirs/M
Dear R administration,
i have installed R x64 3.2.2 and i am trying to install annotation software on
it (hgu133a.db and hgu133acdf), but i am getting this error, how can i solve
this issue, thanks for your help.Regards,Dr. Syed AunPost-Doctoral Fellow, China
* installing *source* package 'hg
Some notes:
1) HTML damages your email on this mailing list (we often see run-on lines and
garbage characters.. definitely not whatever you saw).
2) Massive scripts are off topic... please read the Posting Guide. If you can't
narrow your question to a smaller example then you may really need a
X4 is being subtracted, not added.
---
Jeff NewmillerThe . . Go Live...
DCN:Basics: ##.#. ##.#. Live Go...
Live: OO#.. Dead: OO#.
On Aug 29, 2015, at 11:35 AM, Shant Ch via R-help wrote:
> Hello Dr. Berry,
>
> I know the theoretical side but note we are not talking about expectation of
> sums rather expectation of ABSOLUTE value of the function
> (X1/3+X2/3+X3/3-X4), i.e. E|X1/3+X2/3+X3/3-X4| , I don't think this can
>
On 8/29/2015 4:00 PM, Charles C. Berry wrote:
On Sat, 29 Aug 2015, Shant Ch wrote:
Hello Dr. Berry,
I know the theoretical side but note we are not talking about
expectation of sums rather expectation of ABSOLUTE value of the
function (X1/3+X2/3+X3/3-X4), i.e. E|X1/3+X2/3+X3/3-X4| , I don'
Hello Dr. Berry,
I know the theoretical side but note we are not talking about expectation of
sums rather expectation of ABSOLUTE value of the function (X1/3+X2/3+X3/3-X4),
i.e. E|X1/3+X2/3+X3/3-X4| , I don't think this can be handled for log
normal distribution by integrals by hand.
Shant
In thinking about this 'problem' last night, I found the 'solution'. Any NN
algorithm needs to keep track of all the data it is given, both X and Y
data, otherwise how could it find and report the nearest neighbour! When
predicting (i.e. predict.kknn) it will find the closest match (nearest
neighbo
Dear Göran,
Thank you for responding to my query; please see below:
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Göran
> Broström
> Sent: August 29, 2015 3:59 PM
> To: r-help@r-project.org
> Subject: Re: [R] using survreg() in survival package wit
Well, it's trivial to simulate, and for n=25, for example, I get
a mean of 6.875. Depending on your needs, you can choose a much larger
sample to make it more precise, or, as Chuck suggested, try numerical
integration.
Cheers,
Bert
Bert Gunter
"Data is not information. Information is not kn
On Sat, 29 Aug 2015, Shant Ch wrote:
Hello Dr. Berry,
I know the theoretical side but note we are not talking about
expectation of sums rather expectation of ABSOLUTE value of the function
(X1/3+X2/3+X3/3-X4), i.e. E|X1/3+X2/3+X3/3-X4| , I don't think this
can be handled for log normal distr
Dear John,
I think you are missing that 'survreg' does not handle left truncated
data. With that you should use the 'eha' package, for a PH model the
function 'phreg', and for an AFT model the function 'aftreg' (you didn't
tell which model you want to fit).
Your attempt with the 'survreg' functi
> On 29 Aug 2015, at 20:53, Berend Hasselman wrote:
>
>
>> On 29 Aug 2015, at 18:29, Ravi Varadhan wrote:
>>
>> In solve.QP(), you don't need to expand the equality into two inequalities.
>> It can DIRECTLY handle the equality constraints. The first `meq' rows of
>> the constraint matrix
> On 29 Aug 2015, at 18:29, Ravi Varadhan wrote:
>
> In solve.QP(), you don't need to expand the equality into two inequalities.
> It can DIRECTLY handle the equality constraints. The first `meq' rows of the
> constraint matrix are equality constraints. Here is the excerpt from the
> docum
Dear list members,
I'm unable to fit a parametric survival regression using survreg() in the
survival package with data in "counting-process" ("long") form.
To illustrate using a scaled-down problem with 10 subjects (with data placed on
the web):
--- snip
> library(sur
On Fri, 28 Aug 2015, Shant Ch via R-help wrote:
Hello all,
For a study I want to find E|X1/3+X2/3+X3/3-X4| for variables following
lognormal distribution. To get the value we need to use four integrals.
So far, so good.
This is the code which I is used
fx<-function(x){
dln
In solve.QP(), you don't need to expand the equality into two inequalities. It
can DIRECTLY handle the equality constraints. The first `meq' rows of the
constraint matrix are equality constraints. Here is the excerpt from the
documentation.
meq
the first meq constraints are treated as equali
Recall that List$name is usually equivalent to List[["name"]] (2 square
brackets),
not List["name"].
Look at names(mi.control.i@data) to see what your paste command
ought to be producing.
Unless the names are important you can use ...data[[j]] to index the
components
in data by number instead of
On 28/08/2015 4:00 PM, Atte Tenkanen wrote:
> Hi,
>
> DrawDensity3D-function in package VecStatGraphs3D utilizes
> rgl.points-function {rgl}:
You shouldn't be using rgl.points. Use points3d.
The pointsize is a material property (see ?material3d), and isn't a
vector, so you only get one size pe
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