similar to: R-help Digest, Vol 124, Issue 21

The problem is badly scaled -- parameters from very small to very big. nlmrt package manages a bit better, but scaling would likely make it and nls both happier. nlxb insists on having its data in a data frame. Here's my code rm(list=ls()) Laptop_sale <- c(1405, 1863,2027,2669,2938,5275,6595,6943,8621,10905,12420,22400,32380,31600,34900,43163,47838,47592) CuSale <- Laptop_sale time

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 <-

Hi, we are running cups as print service on a single server. This server is also running samba to export the printer for the windows world. However sometimes we get the following messages on the samba file server. At this time the cupsd is still running, but not accessible. So looking at the status of the cupsd is not helpful. Two questions: Whats going on with the cupsd ? Why is samba

Dear R-SIG-Debian Team, r-devel sent me to you. Situation: Ubuntu 16.04, R-3.3.1, and a file in a folder mounted with sftp via gnome virtual file system. for(i in 1:10){cat(i,file = "/run/user/1001/gvfs/sftp:host=server/path on server/test2",append = TRUE)} gives a file that reads |10| and not |12345678910| Further checking: * A mapped network drive on Windows 7 and

nls() is using 1) only a Gauss-Newton code which is prone to some glitches 2) approximate derivatives Package nlmrt uses symbolic derivatives for expressions (you have to provide Jacobian code for R functions) and an aggressive Marquardt method to try to reduce the sum of squares. It does return more information about the problem (singular values of the final Jacobian and gradient at the proposed

Bad scaling will waste a lot of everyone's time. I put the data in a data frame mdat, then library(nlmrt) mdat<-read.csv("muzzamil.csv", header=T) fmn <- nlxb(y~a * (x^b), data=mdat, start=c(a=1,b=1), trace=T) fm <- nls(y~a * (x^b), data=mdat, start=c(a=1,b=1), trace=T) fmn2 <- nlxb(y~a2 * ((x-1979)^b2), data=mdat, start=c(a2=1,b2=1), trace=T) fm2 <- nls(y~a2 *

Hello R Users, Whether 'R' can import Netcdf format data files ?? Any package in 'R' that can help me on this front ?? Many thanks in advance, Regards, Yogesh -- =========================================== Yogesh K. Tiwari, Max-Planck Institute for Biogeochemistry, Postfach 10 01 64, D-07701 Jena, Germany Office : +49 3641 576376 Fax : +49 3641 577300 Home : +49

Hello R Users, I am a new user to R. When we make a simple plot then how to increase the font size of the data at the each axis. Many thanks, Kind regards, Yogesh -- =========================================== Yogesh Tiwari, Max-Planck Institute for Biogeochemistry, Hans-Knoell Strasse 10, D-07745 Jena, Germany Office : 0049 3641 576 376 Home : 0049 3641 223 163 Fax : 0049 3641

Previously, I've posted queries about this, and thanks to postings and messages in response have recently had some success, to the extent that there is now a package called nlmrt on the R-forge project https://r-forge.r-project.org/R/?group_id=395 for solving nonlinear least squares problems that include small or zero residual problems via a Marquardt method using a call that mirrors the nls()

Hi, I have tried to use cups and samba together. Everything works great, however I am not able to configure and/or setup samba correctly, that the clients are able to install the driver. To test everything I used a dedicated system installed a fresh SuSE 8.0 and compiled samba (2.2.4) and cups (1.1.14). I only userd a differnet prefix for samba. Everything else is default.

Hello, When I plot any data with simple plot command in R, for example :- plot(time,co2,ylim=c(350,380),xlim=c(1993,2003),xlab=NA,ylab=NA,type="p",col=5) Then the first value of x-axis(350) and y-axis(1993) never starts from origin, always they sifted from the origin. Is there any command that I can correct this in the ploted figure and both the axis values start from origin.

Hello 'R' Users, I am very new on 'R', so excuse me if I ask something wrong. I have ASCII data and the colums of the data are looks like :- !------------------------- time,yr,mo,dy,hr,min,sec,lat,lon,ht,co2obs,sigma,co2model -- - -- !---------------------------- Each column has data value. Now I want to produce 2-d color maps, for example the plot should look like :- on

Dear all, I am using the nlsLM function to fit a Lorentzian function to my experimental data. The LM algorithm should allow to specify limits, but the upper limit appears not to work as expected in my code. The parameter 'w', which is peak width at half maximuim always hits the upper limit if the limit is specified. I would expect the value to be in-between the upper and lower limit with

Dear Tomas, Thanks for your commitment to fix this issue and also to add the chunk size as an argument. If you want our input, let us know ;) Best Regards On 02/26/2018 04:01 PM, Tomas Kalibera wrote: > Dear Christian and Henrik, > > thank you for spotting the problem and suggestions for a fix. We'll probably add a chunk.size argument to parLapplyLB and parLapply to follow OpenMP

Dear all, I?m working as an administrator of a High-Performance Computing (HPC) Cluster which runs on Linux. A lot of people are using R on this Linux cluster and, of course, the *parallel* package to speed up their computations. It has been our collective experience, that using |makeForkCluster| yields an overall better experience /on Linux/ than the |makePSOCKcluster|, for whatever definition

Dear R users, we are pleased to announce the release of the 'bigleaf' R package. This package is useful for the calculation of physical (e.g. aerodynamic conductance, surface temperature), and physiological (e.g. canopy conductance, intrinsic water-use efficiency) ecosystem properties from eddy covariance data. All calculations are based on a 'big-leaf' representation of the

Hi Micha, no, I have to this. I'm normally just check what smbstatus shows: 33837   BGC\pkoch    users        XXX (ipv4:XXX:51118)    SMB2_10 Bye the way - 45 MB/s is not so bad, I just wanted to know if it's possible to get 90MB/s or at 10G a little bit more. What has been messaured  ? I used on a new HPC node (10G) smbclient to test the transfer speed and get (10G<->10G)

Setup:  Server 2x10GB NIC, client 1x1GB: Using smbclient with -mSMB3 I get an average of 52000 KiloBytes/sec (before 45000), using NFS (v3) from the same server I get  108000 KiloBytes/sec an more (mount ; cp; umount; ...) Bye, Peer On 03.11.2017 17:01, Jeremy Allison wrote: > On Fri, Nov 03, 2017 at 01:54:10PM +0100, Dr. Peer-Joachim Koch via samba wrote: >> Hi Micha, >>

Version 2.2-0 of the rms package is now available. This is a somewhat major update. One major change is not downward compatible: Instead of specifying predictor=. or predictor=NA to Predict, summary, nomogram, survplot, gendata, you just specify the name of the predictor. For example, to get predictions for the default range of x1 and for just 2 values of x2 you might specify Predict(fit,

Version 2.2-0 of the rms package is now available. This is a somewhat major update. One major change is not downward compatible: Instead of specifying predictor=. or predictor=NA to Predict, summary, nomogram, survplot, gendata, you just specify the name of the predictor. For example, to get predictions for the default range of x1 and for just 2 values of x2 you might specify Predict(fit,