similar to: problems with nonlinear fits using nls

Hi, I am using PinaVM which is a prototype of a SystemC front-end based on "LLVM". The only version that it works with is 2.8. Also to test PinaVM, we need llvm-g++ (I think clang does not work). However, when I want to run an example, i get the following error, which i think is related to llvm-g++: reza at RezaUbuntu:~/pinavm-pinavm/systemc-examples/jerome-chain$ make promela

Hi, I need a help... I''m a beginner with shorewall. I have two shorewall firewalls, each with a link. FW (a) - w/ openVPN eth0 = 192.168.150.5/24 eth1 = 192.168.200.5/24 eth2 = public IP eth3 = 192.168.120.5/24 tun240 = 10.240.255.1 /etc/shorewall/zones all zones declared as ipv4 /etc/shorewall/interfaces #ZONE INTERFACE BROADCAST OPTIONS tlm eth0

The issue here (even if you get dragonegg working) is that the thing that most newer linuxes install when you apt-get llvm-gcc isn't actually llvm-gcc, it's gcc with the dragonegg plugin. Even if the plugin issues are sorted out, the "fake" llvm-gcc doesn't support -emit-llvm so this wouldn't work. You'll probably need to pull a 2.8 of it from llvm.org or a

Good morning to you all, I have a problem with a set of matrices that I want to compare. I want to see the similarity between them, and to be able to extract the differences between them. They have all the same number of columns and rows, and correspond presence absence data: for example: m1 <- matrix(c(1,0,0,0,1,0,1,1,1,1,1,1), 3,4) m2 <- matrix(c(1,0,1,0,1,0,0,1,0,1,0,1), 3,4) I

Dear friends, I am having some doubts about the amount of memory that is being used by R in my Mac (MacBook Pro, 2Gig). Is there a way to increase the amount of memory used? When I type: > mem.limits() the result is: nsize vsize NA NA and I can't change it, tough my computing in R isn't using all the memory at it's disposal. Best regards, Carlos -- Carlos GUERRA

Hello, I forgot to put my #/etc/shorewall/policy file: # /etc/shorewall/policy ############################################################################### #SOURCE DEST POLICY LOG LIMIT: CONNLIMIT: # LEVEL BURST MASK # adm net DROP info tlm net DROP info # net adm DROP

I've created a perspective plot using 'persp' in the graphics package. I'd like to add a second plane of z values to the existing plot, but I cannot seem to do this using 'persp'. Is there an analogue to 'lines' or 'points' for perspectives? Corey. corey.bradshaw at cdu.edu.au

Dear All, A couple of questions about the nls package. 1. I'm trying to run a nonlinear least squares regression but the routine gives me the following error message: step factor 0.000488281 reduced below `minFactor' of 0.000976563 even though I previously wrote the following command: nls.control(minFactor = 1/4096), which should set the minFactor to a lower level than the default

Dear Friends. I tried to use nls.control() to change the 'minFactor' in nls( ), but it does not seem to work. I used nls( ) function and encountered error message "step factor 0.000488281 reduced below 'minFactor' of 0.000976563". I then tried the following: 1) Put "nls.control(minFactor = 1/(4096*128))" inside the brackets of nls, but the same error message

Hi I?m trying to fit a nonlinear model to a derivative of the logistic function y = a/(1+exp((b-x)/c)) (this is the parametrization for the SSlogis function with nls) The derivative calculated with D function is: > logis<- expression(a/(1+exp((b-x)/c))) > D(logis, "x") a * (exp((b - x)/c) * (1/c))/(1 + exp((b - x)/c))^2 So I enter this expression in the nls function:

Dear All, Can anyone recommend a scanner that works well on 4.8. Thanks in advance, Regards, Dave -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: application/pgp-signature Size: 187 bytes Desc: This is a digitally signed message part Url : http://lists.freebsd.org/pipermail/freebsd-stable/attachments/20030906/4c29ef0a/attachment.bin

All - I have data: TL age 388 4 418 4 438 4 428 5 539 10 432 4 444 7 421 4 438 4 419 4 463 6 423 4 ... [truncated] and I'm trying to fit a simple Von Bertalanffy growth curve with program: #Creates a Von Bertalanffy growth model VonB=nls(TL~Linf*(1-exp(-k*(age-t0))), data=box5.4, start=list(Linf=1000, k=0.1, t0=0.1), trace=TRUE) #Scatterplot of the data plot(TL~age, data=box5.4,

Hi I want to change a control parameter for an nls () as I am getting an error message "step factor 0.000488281 reduced below 'minFactor' of 0.000976562". Despite all tries, it seems that the control parameter of the nls, does not seem to get handed down to the function itself, or the error message is using a different one. Below system info and an example highlighting the

Hi, Attached patch adds some missing HAVE_CONFIG_H guards to some places in celt/arm. Please review. Thanks, --Michael -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.xiph.org/pipermail/opus/attachments/20170127/a56493d8/attachment.html> -------------- next part -------------- A non-text attachment was scrubbed... Name:

Hi, Attached patch modifies some of the Ne10 includes in celt/arm. The original includes worked, but ended up pulling in extra Ne10 headers that were unnecessary. This allows libopus to be built with just the Ne10 DSP module installed on the user's machine. Please review. Thanks, --Michael -------------- next part -------------- An HTML attachment was scrubbed... URL:

SSweibull() :  problems with step factor and singular gradient Hello I am working with growth data of ~4000 tree seedlings and trying to fit non-linear Weibull growth curves through the data of each plant. Since they differ a lot in their shape, initial parameters cannot be set for all plants. That’s why I use the self-starting function SSweibull(). However, I often got two error messages:

Hi, I have some data I want to fit with a non-linear function using nls, but it won't solve. > regresjon<-nls(lcfu~lN0+log10(1-(1-10^(k*t))^m), data=cfu_data, > start=(list(lN0 = 7.6, k = -0.08, m = 2))) Error in nls(lcfu ~ lN0 + log10(1 - (1 - 10^(k * t))^m), data = cfu_data, : step factor 0.000488281 reduced below 'minFactor' of 0.000976562 Tried to increase minFactor

Dear all, I am trying to fit a non linear regression model to time series data. If I do this: reg.logis = nls(myVar~SSlogis(myTime,Asym,xmid,scal)) I get this error message (translated to English from French): Erreur in nls(y ~ 1/(1 + exp((xmid - x)/scal)), data = xy, start = list(xmid = aux[1], : le pas 0.000488281 became inferior to 'minFactor' of 0.000976562 I then tried to set

When I run gnls I get the error: Error in nls(y ~ cbind(1, 1/(1 + exp((xmid - x)/exp(lscal)))), data = xy, : step factor 0.000488281 reduced below 'minFactor' of 0.000976563 My first thought was to decrease minFactor but gnlsControl does not contain minFactor nor nlsMinFactor (see below). It does however contain nlsMaxIter and nlsTol which I assume are the analogs of

Dear friends. I use nls() and encounter the following puzzling problem: I have a function f(a,b,c,x), I have a data vector of x and a vectory y of realized value of f. Case1 I tried to estimate c with (a=0.3, b=0.5) fixed: nls(y~f(a,b,c,x), control=list(maxiter = 100000, minFactor=0.5 ^2048),start=list(c=0.5)). The error message is: "number of iterations exceeded maximum of