similar to: nonlinear constraint optimization function in R?

I'd like to generate some plots like you'd see on the old "normal probability graph paper", like the first plot in: <http://www.itl.nist.gov/div898/handbook/eda/section3/normprpl.htm> except the horizontal scale would have 1%, 5%, 25%, 50%, 75%, 95%, 99%, or similar quantiles, with associated tick/grid lines. [still hunting around for a good example...] something like

Which function implements the piecewise cubic Hermite interpolation? I am looking for equivalent of matlab's interp1 with the method = 'pchip' Here is the reference http://www.mathworks.com/access/helpdesk/help/techdoc/index.html?/access/helpdesk/help/techdoc/ref/interp1.html& -- View this message in context:

Hi, I have been brought back to the "R-Side" from MatLab. I have used R in graduate econometrics but only for statistics and regression (linear and nonlinear). But now I need to run general nonlinear optimization. I know about the add-in quadprog but my problem is not QP. My problem is a general nonlinear (obj funct) with linear constraints.I know about the "ms" and

Hi, I wish to use R (version 2.13.1)?from within Matlab(ver R2009a) on windows XP plaform (on both 64 bit and 32 bit OS) . For this I have installed StatConnector (http://rcom.univie.ac.at/download/current/statconnDCOM.latest.exe) for calling R from within Matlab (R2009a) on Windows XP platform. I have added all the files of MATLAB_RLINK folder (downloaded from

By any chance is there an R package that may contain functionality similar to the frestimate in Matlab/Simulink. Here is the URL for a description of the frestimate functionality: http://www.mathworks.com/help/toolbox/slcontrol/ug/frestimate.html Thank you again for any feedback.

I'm a new R user and am looking for an R equivalent to the Matlab 'cp2tform' function (see: http://www.mathworks.com/help/toolbox/images/ref/cp2tform.html). cp2tform accepts pairs of 2D control points and produces a least-squares optimized spatial transformation from one set of points to the other. Specifically, I'm looking to produce the coefficients of a 3rd order polynomial

Hi, in R there is the function "density" which computes kernel density estimates. Is there a "cumulative" version of it? Something like they have in Matlab: http://www.mathworks.nl/help/toolbox/stats/ksdensity.html I know there is ecdf, but I'm not sure it's based on kernel density smoothing. Thanks -- View this message in context:

Hi, I'm attending summer School at UCLA (IPAM) on "probabilistics models of cognition". I have been an R-user since v. 1.4.1, but was trained in the frequentist tradition (as most psychologists!). I found that all faculty here use matlab and Murphy's bayes net toolbox. I have not had the need to use matlab before, and would love to stick to R for graphics models and

Hi! I'm translating some code from Matlab to R and I found a problem. I need to translate Matlab's function 'lsqnonlin' (http://www-ccs.ucsd.edu/matlab/toolbox/optim/lsqnonlin.html) into R, and at the beginning I thought it would be the same as R's 'optim'. But then I looked at the definition of 'lsqnonlin' and I don't quite see how to make

Hi there, I have a piece of Matlab code I use to optimise a trding strategy. If there are any Matlab/R specialists out there, I would appreciate your help in doing the exact same optimisation in R. I suspect I would use nlm() in R but am not sure where to define my constraints. I have attached my Matlab code below for reference. Many thanks. Constraints function [c,ceq]=TriskellConstraints(X)

Dear all, I have several files with Matlab code, which I am translating to R. For the zero-level approach, I took the very old shell script from R-help archives, which has made some obvious leg-work such as replacement of "=" with "<-". Now I am translating indexing, matrix operations and function call using this table http://37mm.no/mpy/octave-r.html The problem is, I

Dear all R users, I am wondering if there are any function for Constraint optimization in R. Especially i am looking for a R - equivalent of "fmincon" function in MATLAB. Thanks and regards, Arun [[alternative HTML version deleted]]

Hi everybody, please, could you give me help ? I scanned the help archives and didn't found hints... I want to solve a large sparse linear system subjected to an inequality constrains (all solutions positive) and an equality constrain (all solutions sum to 1), thus I tried to fool constrOptim using: x[1] + 0 + ... + 0 >= 0 ... 0 + 0 + ... + x[n] >= 0 x[1] + x[2] + ... +

> Background: > OS: Linux Mandrake 9.1 > release: R 1.9.0 > editor: Xemacs 21.4 > frontend: ESS 5.1.23 > --------------------------------- > > Colleagues > Is there a function in R that is similar to polyval in matlab? (y = polyval(p,x) returns the value of a polynomial of degree n evaluated at x. The input argument p is a vector of length n+1 whose elements are the

hi, all I am looking at R package RGL to draw a colored mesh/surface plot like this one (from matlab). http://www.mathworks.com/access/helpdesk/help/techdoc/visualize/cbar.gif The key features I am looking for is surfaced with grid and color, but not the terrain-like gradient. but I didn't come even close to it after browsing through rgl help file. have anyone drawn something like this

I have used Mike Powell's optimization routine (VA05AD) from the Harwell Subroutine Library (HSL) for more than 20 years. It is no exaggeration to say that it has helped make my career (thanks Mike). I recently learned that I am not alone in this respect - apparently it still has a loyal following in all sorts of fields! It is an exceedingly fine piece of software - fast, reliable and easy to

I've got an rsync job which is consistently failing, but I've been unable to diagnose the problem. FAQ/Google/docs/etc. checked and no luck. Basically, it looks like the rsync process invoked on the far end is exiting, and then the local process waits until the timeout and exits. Both systems are Sun boxes, Ultra 10 or better with 256+ MB of memory. Rsync version is 2.5.0 on the local

Hi Ralph, Again, thanks so much for doing all this! Plus thanks to all the folks who contributed to the new release! Quick clarifying question -- Isn't CVE-2018-10392 (looks like it’s fixed in https://gitlab.xiph.org/xiph/vorbis/-/issues/2335) also included in new version 1.3.7? If so can you please add it to release notes? (I asked the same question in

Hi Ralph and libvorbis developers, I thought the vorbis gitlab project was the main development site (https://gitlab.xiph.org/xiph/vorbis) because that's what the NVD CVE tracker points to for the two CVEs I mentioned. But I just realized there's also a vorbis github project (https://github.com/xiph/vorbis). Both appear to have recent activity. Is the gitlab project the correct one

Ok, I wasn't able to track down the original steps to reproduce this issue,s but we believe CVE-2018-10393 is a dupiicate of CVE-2017-14160, both fixed by commit 018ca26dece6. Because of the confusion, I added additional bounds checks to the bark_noise_hybridmp function, which make it clear to local analysis that no for bugs in this class are possible. This change is in commit a9eb99a5bd6f.