similar to: Checking a (new) package - examples require other package functions

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 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 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

I am writing a program in which I would like to take in a formula, change the response (Y) variable into something else, and then pass the formula, with the new Y variable to another function. That is, I am starting with formula <- Y~X1+X2+X3 and I'd like to do something like Y <- formula$Y newY <- f(Y) lm(newY~X1+X2+X3) So far, it seems that my

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,

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

Hi List, I'm having this problem when trying to use the PREDICT function. Here is a way to reproduce the error library(REEMtree) data(simpleREEMdata) REEMresult<-REEMtree(Y~D+t+X, data=simpleREEMdata, random=~1|ID/D) predict(REEMresult, simpleREEMdata, id = simpleREEMdata$ID/simpleREEMdata$D, EstimateRandomEffects=TRUE) As far as I understand the problem is that I'm not being

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 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

Hello all, I tried to extract the p-value from adf.test in tseries; however, I got the error message such as > ht=adf.test(list.var$aa) > ht$p-value Error in ht$p - value : non-numeric argument to binary operator > ht Augmented Dickey-Fuller Test data: list.var$aa Dickey-Fuller = -2.3147, Lag order = 4, p-value = 0.4461 alternative hypothesis: stationary > ht$data [1]

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

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

Hi r-users, I want to use the sn package but I got the following message: > install.packages(repos=NULL,pkgs="c:\\Tinn-R\\sn_0.4-12.zip") Warning: package 'sn' is in use and will not be installed updating HTML package descriptions I did tried to do it a few times but it gives the same message.  ________________________________ From:

Hello, I do have two different time series A and B, they are different in length and starting point. A starts in Jan, 2012 and ends in Dec, 2012 and B starts in March, 2012 and ends in Nov, 2012. How can I plot those two series A and B in the same plot? I.E., from Jan. 2012 - Feb, 2012, it would have one data point from A and from Mar, 2012-Nov, 2012, it would have two data points from A and B,

Hello, Is there a better way to use paste such as: a = paste(colnames(list.indep)[1],colnames(list.indep)[2],colnames(list.indep)[3],colnames(list.indep)[4],colnames(list.indep)[5],sep="+") > a [1] "aa+dummy1+dummy2+bb+cc" I tried a = paste(colnames(list.indep)[1:5],sep="+") > a [1] "aa" "dummy1" "dummy2"

Hello, I try to look at the source code of predict() it turns out that I cannot find it. I can see it with debug(library), but not efficient. Can someone help? Thanks, Rebecca ---------------------------------------------------------------------- This message, and any attachments, is for the intended r...{{dropped:5}}