similar to: Disentagling formulas

I am trying to estimate models with subsets using the NLME package. However, I am getting an error in the case below (among others): > subset <- c(rep(TRUE, 107), FALSE) > fm2 <- lme(distance ~ age + Sex, data = Orthodont, random = ~ 1, subset=subset) Error in xj[i] : invalid subscript type 'closure' > fm2 <- lme(distance ~ age + Sex, data = Orthodont, random = ~ 1,

When I use a model fit with LME, I get an error if I try to use "predict" with a dataset consisting of a single line. For example, using this data: > simpledata Y t D ID 1 -1.464740870 1 0 1 2 1.222911373 2 0 1 3 -0.605996798 3 0 1 4 0.155692707 4 0 1 5 3.849619772 1 0 2 6 4.289213902 2 0 2 7 2.369407737 3 0 2 8 2.249052533 4 0 2 9 0.920044316 1

I am in the process of submitting a package to CRAN. R CMD check ran successfully on the package on my local computer, using R version 2.1.1. However, on the computers for CRAN (with version 2.10.0), the following errors occurred: Warning in parse_Rd("./man/predict.Rd", encoding = "unknown") : ./man/predict.Rd:28: unknown macro '\dquote' *** error on file

I am creating an R package. I ran R CMD check on the package, and everything passed until it tried to run the examples. Then, the result was: * checking examples ... ERROR Running examples in REEMtree-Ex.R failed. The error most likely occurred in: > ### * AutoCorrelationLRtest > > flush(stderr()); flush(stdout()) > > ### Name: AutoCorrelationLRtest > ### Title: Test for

I am trying to run separate regressions for different groups of observations using the lapply function. It works fine when I write the formula inside the lm() function. But I would like to pass formulae into lm(), so I can do multiple models more easily. I got an error message when I tried to do that. Here is my sample code: #generating data x1 <- rnorm(100,1) x2 <- rnorm(100,1) y <-

Hello, Does anyone know of a function that will determine whether or not a formula object has a left hand side? I.e., can differentiate between y ~ x + z and ~ x + z Perhaps I'm overlooking the obvious... Thanks!

I am having the same problem as one Rebecca Sela(see bellow). On 21/12/2007 12:07 AM, Rebecca Sela wrote: >* I am trying to optimize a likelihood function using NLMINB. After running without a problem for quite a few iterations (enough that my intermediate output extends further than I can scroll back), it tries a vector of parameter values NaN. This has happened with multiple Monte Carlo

I am trying to optimize a likelihood function using NLMINB. After running without a problem for quite a few iterations (enough that my intermediate output extends further than I can scroll back), it tries a vector of parameter values NaN. This has happened with multiple Monte Carlo datasets, and a few different (but very similar) likelihood functions. (They are complicated, but I can send them

I tried to use LME (on a fairly large dataset, so I am not including it), and I got this error message: Error in lme.formula(formula(paste(c(toString(TargetName), "as.factor(nodeInd)"), : nlminb problem, convergence error code = 1 message = false convergence (8) Is there any way to get more information or to get the potentially wrong estimates from LME? (Also, the page in the

I have two straightforward questions about linking in the man pages for R packages: First, is it possible to link from within parts of the documentation that are not the \seealso section? For example, I would like to have something like: \arguments{ \item{correlation}{an optional \code{corStruct} object describing the within-group correlation structure; the available classes are given in

I am writing my first R package, and I have been getting the following series of errors when I run R CMD check: * checking S3 generic/method consistency ... WARNING Error: package/namespace load failed for 'REEMtree' Call sequence: 2: stop(gettextf("package/namespace load failed for '%s'", libraryPkgName(package)), call. = FALSE, domain = NA) 1: library(package,

I just built a package in R (version 2.1.1 on a Linux machine) and then moved it to my computer (R version 2.8.1 on a Windows machine). When I loaded the package and tried to open help for one of the commands, I got the following warning: Warning message: In print.help_files_with_topic("F:/R/R-2.8.1/library/REEMtree/chm/RMSE") : No CHM help for 'RMSE' in package

Hi all, I have a problem to estimate Std. Error and t-value by ?polr? in library Mass. They result from the summary of a polr object. I can obtain them working in the R environment with the following statements: temp <- polr(formula = formula1, data = data1) coeff <- summary(temp), but when the above statements are enclosed in a function, summary reports the following error:

Hi Jim, I have tried "-fno-builtin" but it didn't help. Thanks, David On Tue, Aug 5, 2014 at 12:12 AM, Jim Grosbach <grosbach at apple.com> wrote: > Hi David, > > "-fno-builtin” is probably what you want. > > -Jim > > On Aug 4, 2014, at 2:19 AM, David Sela <sela.david at gmail.com> wrote: > > Clang optimizes code by replacing some parts

Hi Anton, Thanks for the answer. The link you provided doesn't answer the question. It lists the ways to overcome the linking error if the inline was not successful. The only condition that is found there to make the compiler not inline is "when compiling without optimization". I asked the question in the forum because I think that this info is not documented and most chances that

Hi, I want to have some functions in my code inline so I use the *inline * keyword: *inline void foo() {}* On some functions the compiler inlines the function but it fails to do so on other functions and thus I get a linkage error: *error: undefined reference to 'foo'* What are the conditions that make the compiler refuse inline? Thanks, David p.s. I know that there are ways to pass

OS X R 4.3.3 Colleagues I have created objects using the Surv function in the survival package: > FIT.1 Call: survfit(formula = FORMULA1) n events median 0.95LCL 0.95UCL SUBDATA$ARM=1, SUBDATA[, EXP.STRAT]=0 18 13 345 156 NA SUBDATA$ARM=2, SUBDATA[, EXP.STRAT]=1 13 5 NA 186 NA SUBDATA$ARM=2, SUBDATA[, EXP.STRAT]=2 5

Hi, I am trying to simulate animal movement in a gridded landscape made up of cells. At each time step (iteration), the animal moves from one cell to another in a random fashion. This is how I am simulating movement, where a and b are the x,y co-ordinates of the animal at the previous time step: for (i in 1:no.of.steps){ direction <- sample(1:8, 1) if(direction == 1){ a <- a b <- b -

Clang optimizes code by replacing some parts with efficient library functions. For example the following code: for (i=0;i<size;++i) dest[i]=src[i]; will be compiled to (target=ARM assembly): bl __aeabi_memcpy(PLT) The compile cmd: /usr/share/android-arm-l14-toolchain/bin/clang31 -cc1 -triple arm-none-linux-androideabi -S -target-abi aapcs-linux -target-cpu arm1022e

Dear all, As you can see from the attachment I'm using R to automatically annotate peptide fragmentation mass spectra, which are represented by impulse plots. I'd like to poll you on approaches of how to deal as generally as possible with the two biggest annotation issues I run into: 1) very close annotated masses (impulses) with similar y-axis dimensions - resulting in overlapping labels