similar to: nls convergence problem

Hello useRs (please don't kill me), I've fairly new to R having only a few months of playing around with R. What little I've learned has been extremely useful. If someone could point me as to how to replicate the Boltzman Sigmodial curve fit as provided by Graphpad software I'd be eternally grateful. Where we currently use Graphpad for only this one function,its seems highly

Hi friends I just started using wine on my Linux-machine. Mostly because I want to switch finally from Windows to Linux on my computer at work. There is just one single application I want to "take with me" and that is "GraphPad Prism" (http://www.graphpad.com/prism/Prism.htm). So I installed wine0.9.20 on my Mandriva2007. Then I used wine to install Prism in its most recent

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

Hi there, I have installed MS Office 2007 in wine 1.2.2 running in LinuxMint KDE 9, together with other softwares (including GraphPad Prism 4). After install, I set riched20.dll as native (windows), as stipulated here: http://appdb.winehq.org/objectManager.php?sClass=version&iId=4992 > Post Installation Instructions? > > Once installed, one override is necessary. Without it,

Dear R Community, I am using the package DRC ( to fit a boltzman model to my data. I can fit the model and extract the lower limit, upper limit, and ED50 (aka V50), but I cannot figure out how to get the slope of the curve at ED50. Is there a simple way to do this? I've searched the mailing list and looked through the package documentation, but could not find anything. I am new to r, and

Hi all, I have a distribution, and take a sample of it. Then I compare that sample with the mean of the population like here in "Wilcoxon signed rank test with continuity correction": > wilcox.test(Sample,mu=mean(All), alt="two.sided") Wilcoxon signed rank test with continuity correction data: AlphaNoteOnsetDists V = 63855, p-value = 0.0002093 alternative hypothesis:

Hi all. Sorry for posting again such a topic but I went through previous posts but couldn't find a solution. I use the following code to fit an exponential model to my data. I have 4 different datasets. For 3 datasets nls seems to work fine and I have no error messages. But for 1 dataset I am getting the "world known" singular gradient error. xfit.dNEE <-

I am in a situation where I have to fit a distrution, such as cauchy or normal, to an empirical dataset. Well and good, that is easy. But I wanted to assess just how good the fit is, using ks.test. I am concerned about the following note in the docs (about the example provided): "Note that the distribution theory is not valid here as we have estimated the parameters of the normal

Hello, I'm trying to duplicate what's an easy process in RapidMiner. In RM, we can simply use two operators: subgroup iteration attribute value selection (Can use a regex for the attrribute name.) I can do this in R with a lot of code and manual steps. It would be really nice to find a more automated way. My data looks like this group group_height group_weight height

I really don't know about this special-purpose distribution of R... you should probably contact the developer. From the error, I wonder whether you followed the instructions on the portableR web page link that you quoted. Do you have the directories referred to there in place? -- Sent from my phone. Please excuse my brevity. On July 25, 2017 7:27:31 AM PDT, Ashish Ranjan <aranjan1645

Hi Team, Please suggest me on below :- 1).are There any linux based library for dplyr and tidyr? I could find these r-libraries for windows and Mac but not for linux. 2). is it possible to add external library to portableR zip(http://nafiux.github.io/portableR/) file if yes then how to add external library to poratbleR zip file? In our application AWS lambda invoking the R-script by using

CentOS Errata and Security Advisory 2012:0533 Important Upstream details at : https://rhn.redhat.com/errata/RHSA-2012-0533.html The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) i386: 471f54ba5397283d3f5251590236e720589c28103b36630455e431e461d17961 samba3x-3.5.10-0.109.el5_8.i386.rpm

Hi Jeff, 1). I have tried install.packages( c("dplyr", "tidyr" ) ) into the r-script file got below error:- > install.packages( c("dplyr", "tidyr" ) ) Installing packages into ?/tmp/1776492876238396447/lib/portableR-master/site-library? (as ?lib? is unspecified) Error in install.packages(c("dplyr", "tidyr")) : This version of R is

1) Definitely yes. They are on CRAN. Just type install.packages( c("dplyr", "tidyr" ) ) at the R console. 2) Don't know, but most likely the answer is yes. Since all R packages on Linux are compiled by R when installed, you either need to activate your virtual machine, compile the packages, and save the state for future use, or you have to build the package library on

Send CentOS-announce mailing list submissions to centos-announce at centos.org To subscribe or unsubscribe via the World Wide Web, visit http://lists.centos.org/mailman/listinfo/centos-announce or, via email, send a message with subject or body 'help' to centos-announce-request at centos.org You can reach the person managing the list at centos-announce-owner at centos.org When

For the heck of it I tried upgrading to gcc 3.4.2 (from 3.3.3). It didn't make a difference. So here are the failures for llvm-test. All diffs are against the "native" output. ===================== MultiSource/Applications/sgefa cbe failed differently from jit/llc. First cbe: 84c84 < One-Norm(A) ---------- 8.879153e+02. --- > One-Norm(A) ---------- 8.879156e+02.

Your results below make it look like a bug in optim(): it is not duplicating a value when it should, so changes to x affect xx as well. Duncan Murdoch On 03/05/2019 4:41 a.m., Serguei Sokol wrote: > On 03/05/2019 10:31, Serguei Sokol wrote: >> On 02/05/2019 21:35, Florian Gerber wrote: >>> Dear all, >>> >>> when using optim() for a function that uses the

Dear r-help-list: If I use the rpart method like cfit<-rpart(y~.,data=data,...), what kind of tree is stored in cfit? Is it right that this tree is not pruned at all, that it is the full tree? If so, it's up to me to choose a subtree by using the printcp method. In the technical report from Atkinson and Therneau "An Introduction to recursive partitioning using the rpart

It looks as though this happens when calculating numerical gradients: x is reduced by eps, and fn is called; then x is increased by eps, and fn is called again. No check is made that x has other references after the first call to fn. I'll put together a patch if nobody else gets there first... Duncan Murdoch On 03/05/2019 7:13 a.m., peter dalgaard wrote: > Yes, I think you are

On 03/05/2019 10:31, Serguei Sokol wrote: > On 02/05/2019 21:35, Florian Gerber wrote: >> Dear all, >> >> when using optim() for a function that uses the parent environment, I >> see the following unexpected behavior: >> >> makeFn <- function(){ >> ???? xx <- ret <- NA >> ???? fn <- function(x){ >> ??????? if(!is.na(xx)