similar to: automatically scan multiple starting values

Hi all, I have some problems with the mle2 function > RogersIIbinom <- function(N0,attackR3_B,Th3_B) {N0-lambertW(attackR3_B*Th3_B*N0*exp(-attackR3_B*(24-Th3_B*N0)))/(attackR3_B*Th3_B)} > RogersII_B <- mle2(FR~dbinom(size=N0,prob=RogersIIbinom(N0,attackR3_B,Th3_B)/N0),start=list(attackR3_B=1.5,Th3_B=0.04),method="Nelder-Mead",data=dat) Error in dbinom(x, size, prob, log)

Hello all, I am estimating parameters for regression functions on experimental data. Functional response of Rogers type II. I would like to know which points of my dataset are outliers. What is the best method to do this with R? I found a method via R help, but would like to know if there are better methods for my purpose. Here is the script I us now: library("mvoutlier") dat

Hi all, When I try to estimate the functional response of the Rogers type I equation (for the mle2 you need the package bbmle): > RogersIbinom <- function(N0,attackR2_B,u_B) {attackR2_B+u_B*N0} > RogersI_B <- mle2(FR~dbinom(size=N0,prob=RogersIbinom(N0,attackR2_B,u_B)/N0),start=list(attackR2_B=4.5,u_B=0.16),method="Nelder-Mead",data=data5) I get following error message

Hi all, I would like to predict some values for an nls regression function (functional response model Rogers type II). This is an asymptotic function of which I would like to predict the asymptotic value I estimated the paramters with nls, but can't seem to get predictions for values of m choice...... This is my script: RogersII_N <-

Hi, I am quite new to R and would like to do nonlinear regressions with Poisson distributed data. I would like to estimate paramters of an equation of this type: FR = [c*NO * exp(a+b*NO)] / [(c+NO)*(1+exp(a+b*NO))] a,b and c are parameters, NO are input values I found both the gnm and gnlr3 function which should be able to do this regression but I can't manage to make it work. How can I

Hello all, I would like to get parameter estimates for different models. For one of them I give the code in example. I am estimating the parameters (i,j and k) with the nls function, which sees the error distribution as normal, I would however like to do the same as nls with the assumption that the errors are poisson distributed. Is there a way to do this with R? Are there packages designed

I am wrestling with the following in creating a barplot in R: I have a data set with 18 entries. It is plotted in a bargraph. The x-axis should have 18 tick marks each with its own label. What happens is, only a few labels are shown; there is not enough space for all labels. The tick marks are concentrated on the left side of the axis. I'd like to have all labels shown, in vertical direction.

Dear all, I am using the function 'D' in the 'stats' package to perform symbolic derivation. This works very well and it is much faster than e.g. Mathematica (at least for my purposes). First, I would like to thank the development team for this excellent function. However, I run into trouble in some cases, particularly when I am to do some operations on long expressions

Dear R users; I'm looking for some hint about how to deal with the following situation: Response = Y Factor A = levels: 0, 1 Factor B = levels: 0, 1 Factor C = levels: 1,2,3,4 Model: Logistic 3-parms. where th1~1+A+C, th2~1+C; th3~1 For 'simplicity' (for me) I'm using the SAS contrast parameterization. The output looks like Beta p-value th1.(Intercept) 550

https://bugs.freedesktop.org/show_bug.cgi?id=70511 Priority: medium Bug ID: 70511 Assignee: nouveau at lists.freedesktop.org Summary: nouveau_bo_name_get segmentation fault while running root tutorials/gl/glbox.C QA Contact: xorg-team at lists.x.org Severity: normal Classification: Unclassified

I upgraded from 7.3 to 7.4 over the weekend.? Everything went well except that I can't login because the screen is black with a cursor. If reboot boot the 7.3 kernel 3.10.0-514.26.2.el7.x86_64 kernel everything works just fine, so my guess is that there's a kernel issue with the hardware, specifically the Skylake processor. Has anyone else run into this problem and if so can how I

Hi, this is a repost of a previous question - since then I have tried rebuilding my Xen0 kernel numerous times and trying different configurations, but I haven''t yet ever got a single DomU to boot so I really don''t even know what is supposed to happen, let alone how to start debugging it... Can someone please speculate on how to debug this further? It''s a gentoo

Signed-off-by: Scott Seago <sseago at redhat.com> --- AUTHORS | 17 ++++++ README | 10 +++ conf/ovirt-agent | 12 ++++ conf/ovirt-db-omatic | 12 ++++ conf/ovirt-host-browser | 12 ++++

Hi all, In the histogram created with the `hist` command, the label of the y axis reads "Frequency ?. Finding that the ylab key is used to change (localize) that word may seem difficult for people who are beginners either in R or in english. I suggest very minor modifications of the file hist.Rd at https://svn.r-project.org/R/trunk/src/library/graphics/man/hist.Rd. 1) make the default value