similar to: List dimention labels to plots of components

Hello R Developers, This is my first foray into using c-code with R, so please forgive my foolishness. I had a look at the archives and did not find anything on this, so hopefully I am not doubling up. I have tried to use R cmd to create an object file from the odesolve dynload example. I am using windows and have just installed rtools, and have the latest version of stable R (2..7.2). This is

I installed the MinGW-5.0.0 compilers today (gcc-3.4.2 is now contained in the 'Current' distribution. When the current compilers failed to compile the referenced Matrix update and not knowing how to check the exact version numbers for individual files, I applied the Id.exe and f771.exe fixes from the 'Building R for Windows' page (http://www.murdoch-sutherland.com/Rtools/#ldbug).

It is my understanding that Tcl/Tk does not come with the base installation of R under OS X ( http://www.sciviews.org/_rgui/projects/TclTk.html). Is there a simple way to explain how a user with limited tolerance for computer complexity can obtain and install Tcl/Tk for OS X? Thanks. Chuck Background: Roughly a third of my target audience uses OS X. I do not and I do not have access to a

1) In general, I would appreciate help in adding functions to the Rcmdr menu system. I've been able to modify the menus themselves and source test code but I can't get R functions to execute from the menu. My latest proof of concept code follows: Three lines added to "Rcmdr-menus.txt": menu junkMenu topMenu "" ""

I have been trying to make use of the odesolve library on my university's Linux grid - currently R version 2.0.1 is installed and the system runs 64-bit Scientific Linux based on Redhat. I cannot seem to get lsoda working when I define the model as a shared C library. For example, the following snippet uses the mymod.c example bundled with the package: ### START rm(list=ls())

I'll address two issues. The first is today's error message and the other is change management for contributed packages on CRAN. TODAY'S ERROR MESSAGE I switched from the 0.995-1 versions of lme4 and Matrix to those referenced in the subject line this afternoon. Prior to using these packages on anything else, I applied them to code that 'worked' (provided numerical results

Dear all, I have a question on the dose-response estimation with clustered/ correlated binary data. I would like to estimate the hit rate for a certain test at various concentration levels. The test is used on 5 subjects, and each subject is tested 20 times. If we assume that the 100 samples are independent, the hit rate estimate is unbiased, but the variance is under-estimated. The other

On Sun, Mar 18, 2012 at 09:52:12PM -0700, Gregory Szorc wrote: > The automatic generation of the Python ctypes interfaces using the Clang > Python bindings is pretty friggin cool! A nice side effect is that everything is added to the interface. So it is easy to add a small proxy over the lib that shows which parts of the llvm-c API that is exercised by the tests. (have that in my bindings)

Dear List, I am using the output of a ML estimation on a random effects model with first-order autocorrelation to make a further conditional test. My model is much like this (which reproduces the method on the famous Grunfeld data, for the econometricians out there it is Table 5.2 in Baltagi): library(Ecdat) library(nlme) data(Grunfeld)

I've been working on a wrapper for LLVM's C++ API to use from Objective-C for a scripting language I'm working on. I currently have an issue with passing arguments to a function that takes a struct argument. typedef struct _test_struct { int x; int y; } test_struct; id testLLVMStructFuncCall(test_struct x) { NSLog(@"%d %d",x.x,x.y); return N(x.x + x.y); }

My subject line refers to a thread from June 2005 where I found explanations from Uwe Ligges and Friedrich Leisch as to what is intended by the R citation recommended within the software. Forgive me if I missed some points within the thread but when I found myself circling through messages I had already read, I stopped trying to follow it. I understand and mostly agree with how the R citation is

Several bugs (no solutions, yet). These might be well known. 1) If one does, e.g., mymod <- lm(y ~ x); formula(mymod) then one does not get back the formula (one gets, Error: invalid formula) 2) if x is of mode numeric, then the model formula mymod <- lm(y ~ x + x^2) is not processed as S would do it. The model is fit ignoring the x^2 term, however mymod$call includes the x^2 term.

Several bugs (no solutions, yet). These might be well known. 1) If one does, e.g., mymod <- lm(y ~ x); formula(mymod) then one does not get back the formula (one gets, Error: invalid formula) 2) if x is of mode numeric, then the model formula mymod <- lm(y ~ x + x^2) is not processed as S would do it. The model is fit ignoring the x^2 term, however mymod$call includes the x^2 term.

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

R is included in Fedora Extras. You can skip downloading Extras and updating the packages on the CD by using: yum index | grep R and installing the half dozen or so individual packages that will be listed. The number of packages may be mildly annoying but if you install this way you will be notified of R updates along with all of your other security and application updates through the Red Hat

The cautions people have given about starting values are worth heeding. That nlxb() does well in many cases is useful, but not foolproof. And John Fox has shown that the problem can be tackled very simply too. Best, JN On 2023-08-19 18:42, Paul Bernal wrote: > Thank you so much Dr. Nash, I truly appreciate your kind and valuable contribution. > > Cheers, > Paul > > El El

Thank you so much Dr. Nash, I truly appreciate your kind and valuable contribution. Cheers, Paul El El s?b, 19 de ago. de 2023 a la(s) 3:35 p. m., J C Nash < profjcnash at gmail.com> escribi?: > Why bother. nlsr can find a solution from very crude start. > > Mixture <- c(17, 14, 5, 1, 11, 2, 16, 7, 19, 23, 20, 6, 13, 21, 3, 18, 15, > 26, 8, 22) > x1 <- c(69.98, 72.5,

Hallo Everybody How do you specify arguments for a function used within another function? Here is my problem: I am reconstructing a calculator for the burden of disease due to air pollution from publications and tools published by the WHO. The calculations make use of published dose-response relationships for particular health end-points. This is then applied to populations with known or

Dear All,   #I have the following code   Dose<-1000 Tinf <-0.5 INTERVAL <-8 TIME8 <-matrix(c((0*INTERVAL):(1*INTERVAL))) TIME7 <-matrix(c((0*INTERVAL):(2*INTERVAL))) TIME6 <-matrix(c((0*INTERVAL):(3*INTERVAL))) TIME5 <-matrix(c((0*INTERVAL):(4*INTERVAL))) TIME4 <-matrix(c((0*INTERVAL):(5*INTERVAL))) TIME3 <-matrix(c((0*INTERVAL):(6*INTERVAL))) TIME2

Hey, everyone, I am using proportional odds model for ordinal responses in dose-response experiments. For some samll data, SAS can successfully provide estimators of the parameters, but the built-in function polr() in R fails. Would you like to tell me how to make some change so I can use polr() to obtain the estimators? Or anyone can give me a hint about the conditions for the existance of MLE