carefully.
>
> Generally the work in computing the Hessian ( # obs * (# parameters)^2
> in size) is not worth the effort, but there are problems for which it
> does make a lot of sense.
>
> JN
>
> On 14-12-18 06:00 AM, r-help-requ...@r-project.org wrote:
>> Message: 1
Dear list,
I have an optimization problem that I would like to solve by Maximum
Likelihood.
I have analytical functions for the first and second derivatives of my
parameters.
In addition, some parameters are constrained between 0 and 1, while some
others can vary freely between -Inf and +Inf.
I a
Dear useRs & experRts,
I have the feeling that the 'name' argument to the attach function is
ignored when 'what' is a file name. Here is an example:
> save(letters, file="letters.RData")
> letters.env <- attach("letters.RData", name="letters")
> search()
> letters.env
The name on the search path
Thank you, it was exactly what I was looking for!
Regards,
Xavier
Le 28. 10. 11 15:45, Prof Brian Ripley a écrit :
> See the help for postscript ... especially the 'Printing' section.
>
>
> On Fri, 28 Oct 2011, Xavier Robin wrote:
>
>> Hi!
>>
>>
inter=blah)
Now the question is, is there a printer device equivalent to win.print
for Linux?
Thanks,
Xavier
On Fri, Oct 28, 2011 at 15:23, Raphael Saldanha wrote:
> I have never used, but take a look on ?dev.print
>
> On Fri, Oct 28, 2011 at 11:16 AM, Xavier Robin wrote:
>
>> H
Hi!
In Windows the "win.print" function allows plotting directly to a
printer (or copying an open device to the printer). This is very
convenient to quickly print a plot once it looks good.
Is there an equivalent function under Linux? For example through CUPS,
IPP, LPD or other ?
Obviously with
find more information in our paper [4] and on pROC website:
http://www.expasy.org/tools/pROC/
Hope you'll find it useful!
Xavier Robin
--
References:
[1] DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas
under two or more correlated receiver operating characteristic curves:
Hans W Borchers wrote :
> First define a function from those points:
>
> fx <- approxfun(x, f_x)
> fy <- approxfun(y, f_y)
> f <- function(x) abs(fx(x)-fy(x))
>
> and now you can apply integrate() or trapz():
>
> xx <- sort(c(x, y))
> yy <- f(xx)
> trapz(xx, yy)
>
> tra
Le 25.01.2011 15:23, Rmh a écrit :
> g <- function(x) abs(f1(x)-f2(x))
>
> now you have one function and you can integrate it.
Thank you Rich.
Unfortunately I have no f1 and f2 functions, only a set of observed
points on two lines - and no idea about the underlying distribution to
create a funct
Hello,
I need to integrate the absolute difference between two lines measured
on different points.
# For example :
x <- seq(0, 1, 1/100)
f_x <- runif(101) + x
y <- seq(0, 1, 1/23)
f_y <- runif(24) + (1 - y)
plot(x, f_x, type="l")
lines(y, f_y)
Then I would like to compute Integral( | f_x - f_y
o
extract them. attributes(myDataFrame$myColum) is NULL and there is
nothing in attributes(myDataFrame) that looks like a possible myAttr.
Is there a way so that attributes of numeric vectors could be kept in
the data.frame?
Thanks in advance,
Xavier Robin
--
Xavier Robin
Biomedical Proteomics
options include using the grconvertX and grconvertY functions.
>
> Hope this helps,
>
> --
> Gregory (Greg) L. Snow Ph.D.
> Statistical Data Center
> Intermountain Healthcare
> [EMAIL PROTECTED]
> 801.408.8111
>
>
>> -Original Message-
>> Fr
es that
> 'y' may be missing since 'xy.coords(x,y)' is used for construction of the
> coordinates.
Can someone explain me this difference? And optionally how to plot text
in the "topleft" part of the plot without using legend?
Thanks,
Xavier
--
Xavier Robin
Bi
S Ellison a écrit :
As a work-round, try something lik
test.function <- function (formula.str, data) {
weights <- rep(.1, 8)
rpart(as.formula(formula.str), data, weights)
}
which works if formula.str is a string instead of a formula object.
Ok, I think I got the point. The only problem
do to get it work (i.e. using the
copy of weights defined inside the function)?
Thanks in advance for your help.
Xavier Robin
--
Xavier Robin
Biomedical Proteomics Research Group (BPRG)
Department of Structural Biology and Bioinformatics (DBSB)
Geneva University Medical Center (CMU)
1, rue Mich
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