Displaying 20 results from an estimated 10000 matches similar to: "control list gotcha"
2015 Apr 24
2
Title case in DESCRIPTION for package where a word is a function name
I was preparing a fix for a minor glitch in my optimx package and R CMD
check gave an error that the title was not in title case. It is
A Replacement and Extension of the optim() Function
R CMD check suggests the incorrect form
A Replacement and Extension of the Optim() Function
'Writing R Extensions' suggests single quotes, i.e.,
A Replacement and Extension of the 'optim()'
2015 Apr 25
2
Title case in DESCRIPTION for package where a word is a function namei
> On 25 Apr 2015, at 13:11 , Prof J C Nash (U30A) <nashjc at uottawa.ca> wrote:
>
> Hendrik pointed out it was the parentheses that gave the complaint.
> Single quotes and no parentheses seem to satisfy R CMD check. Perhaps
> that needs to be in the WRE.
Well, it is in ?toTitleCase:
...However, unknown
technical terms will be capitalized unless they are single
2011 Jun 26
1
Default values in control list of function
In building a function for a package, I'd like to set the defaults in a control list,
e.g.,
makeg<-function(parameters, eps = 1.0e-7, control=list(showwork=TRUE, rubbish=1.0e+101)){
etc.
}
This does not provide showwork or rubbish within the function if control() is not fully
specified. Copying others, I've previously set the control defaults within the function
then matched
2015 Apr 24
3
Title case in DESCRIPTION for package where a word is a function name
On 24.04.2015 22:44, Ben Bolker wrote:
> Prof J C Nash (U30A <nashjc <at> uottawa.ca> writes:
>
>>
>> I was preparing a fix for a minor glitch in my optimx package and R CMD
>> check gave an error that the title was not in title case.
>
> [snip] to make Gmane happy ...
>
>> I have found
>>
>> A Replacement and Extension of the
2010 Nov 16
4
DBLEPR?
Ravi Varadhan and I have been looking at UCMINF to try to identify why it gives occasional
(but not reproducible) errors, seemingly on Windows only. There is some suspicion that its
use of DBLEPR for finessing the Fortran WRITE() statements may be to blame. While I can
find DBLEPR in Venables and Ripley, it doesn't get much mention after about 2000 in the
archives, though it is in the R FAQ
2010 Nov 16
4
DBLEPR?
Ravi Varadhan and I have been looking at UCMINF to try to identify why it gives occasional
(but not reproducible) errors, seemingly on Windows only. There is some suspicion that its
use of DBLEPR for finessing the Fortran WRITE() statements may be to blame. While I can
find DBLEPR in Venables and Ripley, it doesn't get much mention after about 2000 in the
archives, though it is in the R FAQ
2009 Oct 22
2
Advice on how to arrange fix of buglet
Recently I reported a small bug in optim's SANN method failing to report
that it had exceeded the maximum function evaluation limit in the
convergence code. This is a small enough matter that I was reluctant to
create a full-blown bug report. Indeed in the optimx package Ravi
Varadhan and I have been developing on r-forge (under the OptimizeR
project) it was a minimal work around to fix
2012 Apr 28
2
Character string to R object
I've been creating some R tools that manipulate objective functions for optimization. In
so doing, I create a character string with R code, and then want to have it in my
workspace. Currently -- and this works fine -- I write the code out, then use source() to
bring it in again. Example:
cstr<-"jack<-function(x){\n cat(\"Silly x:\")\n print(x) \n }\n"
write(cstr,
2009 Jul 01
2
Difficulty in calculating MLE through NLM
Hi R-friends,
Attached is the SAS XPORT file that I have imported into R using following code
library(foreign)
mydata<-read.xport("C:\\ctf.xpt")
print(mydata)
I am trying to maximize logL in order to find Maximum Likelihood Estimate (MLE) of 5 parameters (alpha1, beta1, alpha2, beta2, p) using NLM function in R as follows.
# Defining Log likelihood - In the function it is noted as
2011 Aug 17
2
An example of very slow computation
This message is about a curious difference in timing between two ways of computing the
same function. One uses expm, so is expected to be a bit slower, but "a bit" turned out to
be a factor of >1000. The code is below. We would be grateful if anyone can point out any
egregious bad practice in our code, or enlighten us on why one approach is so much slower
than the other. The problem
2013 Nov 15
1
optimization
x1<-c(5.548,4.896,1.964,3.586,3.824,3.111,3.607,3.557,2.989,18.053,3.773,1.253,2.094,2.726,1.758,5.011,2.455,0.913,0.890,2.468,4.168,4.810,34.319,1.531,1.481,2.239,4.204,3.463,1.727)
y<-c(2.590,3.770,1.270,1.445,3.290,0.930,1.600,1.250,3.450,1.096,1.745,1.060,0.890,2.755,1.515,4.770,2.220,0.590,0.530,1.910,4.010,1.745,1.965,2.555,0.770,0.720,1.730,2.860,0.760)
2011 Aug 29
3
gradient function in OPTIMX
Dear R users
When I use OPTIM with BFGS, I've got a significant result without an error
message. However, when I use OPTIMX with BFGS( or spg), I've got the
following an error message.
----------------------------------------------------------------------------------------------------
> optimx(par=theta0, fn=obj.fy, gr=gr.fy, method="BFGS",
>
2011 Dec 12
1
Detecting typo in function argument
With some chagrin after spending a couple of hours trying to debug a script, I realized I
had typed in something like
ans<-optimx(start, myfn, mygr, lower<-lo, upper=up)
that is, the "<-" rather than "=". The outcome on my machine was a non-obvious error
several layers deep in the call stack. For info, optim() seems to stop much more quickly.
The error is
2011 Aug 31
1
Gradients in optimx
Hi Reuben,
I am puzzled to note that the gradient check in "optimx" does not work for you. Can you send me a reproducible example so that I can figure this out?
John - I think the best solution for now is to issue a "warning" rather than an error message, when the numerical gradient is not sufficiently close to the user-specified gradient.
Best,
Ravi.
2011 Aug 13
3
optimization problems
Dear R users
I am trying to use OPTIMX(OPTIM) for nonlinear optimization.
There is no error in my code but the results are so weird (see below).
When I ran via OPTIM, the results are that
Initial values are that theta0 = 0.6 1.6 0.6 1.6 0.7. (In fact true vales
are 0.5,1.0,0.8,1.2, 0.6.)
--------------------------------------------------------------------------------------------
>
2010 Dec 01
2
default arguments and '...' in a function
Dear R-users,
I'm trying to work out a way to set default values for arguments in a function which includes the optional argument '...'.
In practice, I have a 'plot' method for a function which specifies different types of plots. Every different plot should have different default arguments (for example for 'col', 'ylim' etc), plus the argument '...' to
2017 Dec 31
1
Order of methods for optimx
Dear R-er,
For a non-linear optimisation, I used optim() with BFGS method but it
stopped regularly before to reach a true mimimum. It was not a problem
with limit of iterations, just a local minimum. I was able sometimes to
reach better minimum using several rounds of optim().
Then I moved to optimx() to do the different optim rounds automatically
using "Nelder-Mead" and
2016 Oct 09
1
optim(?, method=?L-BFGS-B?) stops with an error
I'll not copy all the previous material on this thread to avoid overload.
The summary is that all the methods Spencer has tried have some issues.
The bad news: This is not uncommon with optimization methods, in part because the problems are "hard",
in part because getting them implemented and linked to an interfacing approach like R is very tedious
and prone to omissions and
2019 Jan 31
1
nlminb with constraints failing on some platforms
Prof Nash, Prof Galanos
Is it possible to use a generic code stub in front of packages that use
optimx to improve optimx use or curtail it according to the requirements?
Best Regards
Amit
+91 7899381263
________________________________________________________________________
Please request Skype as available
5th Year FPM (Ph.D.) in Finance and Accounting Area
Indian Institute
2011 Feb 06
1
function optimization
Dear all,
this is my first time, and just begin to use R. But I've a question about
optimization using optimx library. It could sound stupid by I'm a bit
affraid with the problem, because anything I try, anything Error.
The procedure was:
optimx(par="10,71,1",fn=(Prey*Provisioning)/Risk, control=list("maximize))
well the problem lies in the initial value parameters, again