Displaying 20 results from an estimated 4000 matches similar to: "Robust nonlinear regression - sin(x)/x?"
2003 Nov 19
11
Windows R 1.8.0 hangs when Mem Usage >1.8GB
I have a loop that increases the size of an object after each iteration. When the Windows Task Manager shows "Mem Usage" about 1.8GB, the Rgui.exe process no longer responds.
I use:
"C:\Program Files\R\rw1080\bin\Rgui.exe" --max-mem-size=4000M --min-vsize=10M --max-vsize=3000M --min-nsize=500k --max-nsize=1000M
I have a dual Xeon 2.8GHz processor box with 4GB of memory and
2005 Oct 13
3
Do Users of Nonlinear Mixed Effects Models Know Whether Their Software Really Works?
Do Users of Nonlinear Mixed Effects Models Know
Whether Their Software Really Works?
Lesaffre et. al. (Appl. Statist. (2001) 50, Part3, pp 325-335)
analyzed
some simple clinical trials data using a logistic random effects
model. Several packages and methods MIXOR, SAS NLMIXED were employed.
They reported obtaining very different parameter estimates and
P
2007 Jun 07
2
Nonlinear Regression
Hello
I followed the example in page 59, chapter 11 of the 'Introduction to R'
manual. I entered my own x,y data. I used the least squares. My function has
5 parameters: p[1], p[2], p[3], p[4], p[5]. I plotted the x-y data. Then I
used lines(spline(xfit,yfit)) to overlay best curves on the data while
changing the parameters. My question is how do I calculate the residual sum
of squares.
2004 Nov 08
2
Nonlinear weighted least squares estimation
Hi there,
I'm trying to fit a growth curve to some data and need to use a weighted least squares estimator to account for heteroscedasticity in the data. A weights argument is available in nls that would appear to be appropriate for this purpose, but it is listed as 'not yet implemented'. Is there another package which could implement this procedure?
Regards,
Robert Brown
2003 Oct 30
2
'nls' and its arguments
Dear R experts!
I'd to fit data by 'nls' with me-supplied function 'fcn'.
1) I'd like 'fcn' to accept arbitrary arguments, i.e. I defined it
as f(...) {<body>}. (Ok, that's not actually impotant).
2) Second, I would NOT like to supply every parameter in the formula.
To illustrate this, let's look at the last example of 'nls' help
2006 Mar 23
1
conservative robust estimation in (nonlinear) mixed models
Conservative robust estimation methods do not appear to be
currently available in the standard mixed model methods for R,
where by conservative robust estimation I mean methods which
work almost as well as the methods based on assumptions of
normality when the assumption of normality *IS* satisfied.
We are considering adding such a conservative robust estimation option
for the random effects to
2006 Nov 24
4
Nonlinear statistical modeling -- a comparison of R and AD Model Builder
There has recently been some discussion on the list about
AD Model builder and the suitability of R for constructing the
types of models used in fisheries management.
https://stat.ethz.ch/pipermail/r-help/2006-January/086841.html
https://stat.ethz.ch/pipermail/r-help/2006-January/086858.html
I think that many R users understimate the numerical challenges
that some of the typical
2005 Jul 11
2
Weighted nls
Dear R Community,
I am attempting to perform a weighted non-linear least squares fit. It has already been noted that the weights option is not yet implemented for the nls function, but no one seems to offer any suggestions for getting around this problem. I am still curious if a) anyone has code they have written which includes a weight options for nls, or b) if there is another model which
2005 Nov 13
4
Robust Non-linear Regression
Hi,
I'm trying to use Robust non-linear regression to fit dose response curves.
Maybe I didnt look good enough, but I dind't find robust methods for NON
linear regression implemented in R. A method that looked good to me but is
unfortunately not (yet) implemented in R is described in
http://www.graphpad.com/articles/RobustNonlinearRegression_files/frame.htm
2007 May 27
2
[Bioc-devel] promptClass
promptClass fails to identify methods associated with the class. Here
is a fix:
Index: promptClass.R
===================================================================
--- promptClass.R (revision 41719)
+++ promptClass.R (working copy)
@@ -165,7 +165,7 @@
if (nmeths > 0) {
.meths.body <- " \\describe{"
for (i in 1:nmeths) {
- .sigmat
2011 Apr 20
1
How can I 'predict' from an nls model with a fit specified for separate groups?
Following an example on p 111 in 'Nonlinear Regression with R' by Ritz &
Streibig, I have been fitting nls models using square brackets with the
grouping variable inside. In their book is this example, in which
'state' is a factor indicating whether a treatment has been used or not:
> Puromycin.m1 <- nls(rate ~ Vm[state] *
+ conc/(K[state] + conc), data = Puromycin,
2009 Mar 29
2
Compiler options for Makefile.win
Dear all,
For certain reasons I have to compile the source code of my package on
Windows XP using Microsoft Visual Studio 9.0, thus I had to create a
"Makefile.win". Now I have a question regarding compiler options /MT vs
/MD for Makefile.win.
The following partial output shows that when building my package on
Windows XP using "R CMD build --binary xps" with compiler
2015 Sep 26
2
Hidden files problem in R CMD check
Dear Simon,
Thank you very much for your help, it did solve my problems!! Great!
I have googled COPYFILE_DISABLE and found the following site which does
explain the issue with tar on Mac OS X, see:
http://unix.stackexchange.com/questions/9665/create-tar-archive-of-a-directory-except-for-hidden-files
Instead of doing:
$tar czf xps_1.29.2.tar.gz xps
I did now:
$COPYFILE_DISABLE=1 tar czf
2014 Jun 23
1
operation on ‘numsels’ may be undefined
Dear all,
Since many years the following C++ code does compile on ALL Bioconductor
servers (Linux, Windows, Mac) without any warnings:
Int_t numsels = 0; //number of selected entries
...
for (Int_t i=0; i<size; i++) {
numsels = (arrMask[i] == 1) ? ++numsels : numsels;
}//for_i
Even on the recently added release server 'zin2' Linux (Ubuntu 12.04.4
LTS) the
2009 Oct 15
2
Question when compiling source code with VC++
Dear Duncan,
In your document "readme.packages.txt" you have a very helpful chapter
on "Using Visual C++".
Please allow me to ask you one question: Why do you propose the option
"/MT" instead of option "/MD"?
(To my knowledge usually option "/MD" is used when compiling programs
with VC++.)
Best regards
Christian
2013 Aug 29
2
Packages not found
Dear all,
On the CRAN website http://cran.r-project.org/ it is currently not
possible to get to the packages. Clicking on "Packages" or on
"Contributed extension packages" results in Error 404: Object not
found!, see: http://cran.r-project.org/web/packages/
Best regards,
Christian
_._._._._._._._._._._._._._._._._._
C.h.r.i.s.t.i.a.n S.t.r.a.t.o.w.a
V.i.e.n.n.a
2013 Aug 30
1
Problem with texi2pdf(..,clean=TRUE)
Dear all,
To create a *.pdf file from a *.Rnw file I do:
olddir <- getwd();
setwd(outdir);
tryCatch({Sweave("QAReport.Rnw");
tools::texi2pdf("QAReport.tex", clean=TRUE)
},
finally = setwd(olddir)
);
This works fine, however 'clean=TRUE' does only work when:
outdir <-
2010 Feb 10
2
wcstombs error when compiling package with Debian/Ubuntu
Dear Debian/Ubuntu experts,
For the second time users of my BioC package reported problems when
trying to compile it on Debian/Ubuntu.
The error is always the same: "'wcstombs' was not declared in this
scope", see:
https://www.stat.math.ethz.ch/pipermail/bioconductor/2010-February/031739.html
https://stat.ethz.ch/pipermail/bioconductor/2009-August/029192.html
Since I have no
2015 Sep 26
6
Hidden files problem in R CMD check
Dear Dirk,
Yes, I know, however forget for one moment R.
If I use tar independent of R it still should not create these hidden
files.
BTW, do you know where these hidden files are stored on the Mac?
Best regards,
Christian
On 09/26/15 23:01, Dirk Eddelbuettel wrote:
>
> On 26 September 2015 at 22:41, cstrato wrote:
> | Dear Simon,
> |
> | Thank you very much for your help, it
2004 May 18
1
Nonlinear robust regression
Hello,
I would like to make a nonlinar fit (exactly the exponencial fit)
to the data. But my data set is not
ideal at all, so any robust method (such as LTS) would be bettre then
LS. Could you advice me, please, if there is any R package or R function
which provides the nonlinear robust regression?
Thank you
Eva Gelnarova