similar to: R equivalent to funcall?

Don't you have the same problem with other atoms, e.g. variable names? This sounds like something that should be implemented in the language's runtime library. On May 4, 2014 7:15 PM, "Alexander Popolitov" <popolit at gmail.com> wrote: > Hi everyone! > > I'm trying to implement lisp's funcall function, which roughly calls a > function, name of which

I am trying to model survival data with a Weibull distribution using survreg. Units are clustered two apiece, sometimes receiving the same treatment and sometimes opposing treatment.

What is the least surprising way of initializing a factor with predefined levels and with length 0? as.factor(c("eins", "zwei", "drei"))[FALSE] does the job but looks a bit weird. -- Johannes H?sing There is something fascinating about science. One gets such wholesale returns of conjecture mailto:johannes at

I am failing to uncover Sweave chunks step by step using the LaTeX beamer class. The following minimal example: \documentclass{beamer} \usepackage{Sweave} \begin{document} \begin{frame}[fragile] In the year \uncover<2->{25}\uncover<3->{\Sexpr{5*5}} \uncover<4->{ <<echo=TRUE, print=TRUE>>= 5*5*101 @ } \end{frame} \end{document} leads to an error message when

I am about to give an introduction to R to some clinical data managers used to SAS. There is already a lot of material in printed form and on the web that paves the way. What I haven't found so far are text wrapping capabilities in setting tables in raw text as in SAS PROC REPORT. At the moment i would direct them at producing HTML output from R and pipe the result through lynx. Coming from

Whenever I try to load the Matrix package, I get the following error message: libRlapack.so: cannot open shared object file: No such file or directory A file with that name is indeed not on the hard disk. I am using the R version which comes with Ubuntu Hardy Heron LTS. Here is the output of R.Version(): R.Version() $platform [1] "i486-pc-linux-gnu" $arch [1] "i486" $os [1]

Hi, I was wondering if anybody might have a reference for me: My R code is growing and getting more and more confusing. Thus, I figure it's time to switch to object-oriented again. I have done oo programming in C++ and Java before but the first few tutorial on R oo were a bit confusing for me. Is there any brief tutorial on oo programming in R especially for people who have done oo in Java

Dear expeRts, I am currently struggling with the problem of finding cut points for a set of stimulus variables. I would like to obtain cut points iteratively for each variable by re-applying a dichotomised variable in the model and then recalculate it. I planned to have fixed names for the dichotomised variables so I could use the same syntax for every recalculation of the whole model. I

I'm guessing there's a more efficient way to do the following using the index features of R. Appreciate any thoughts.... for (i in 1:nrow(dbs1)){ if(dbs1$Payor[i] %in% Payor.Group.Medicaid) dbs1$Payor.Group[i] = "Medicaid" if(dbs1$Payor[i] %in% Payor.Group.Medicare) dbs1$Payor.Group[i] = "Medicare" if(dbs1$Payor[i] %in% Payor.Group.Commercial)

The other day I was looking into one of the classics in resampling, Eugene Edgington's "Randomization Tests". This type of test is simple to do in R with things like a simple correlation, the sample () function is perfect for the purpose. However, things are more complex if you have grouped data, like a one-way ANOVA. The reason is that you have to avoid the consideration of

Is anyone in the leadership of the R-project going to contact the New York Times and clarify that the article gave remarkably short shrift to the people who designed the user interface for R, to a large extent AT&T researchers from an earlier generation? It would be the appropriate thing to do. The R team did not develop the user interface for R, the designers of the S programming language

I'm interested in using R's plotting capabilities to try to generate a graph showing the relationship/pairing frequency of words appearing in a block of unstructured text. I don't have a specific algorithm or approach in mind, just looking to portray text in an interesting fashion. The output I'm hoping for is something like the following called a "Phrase Network":

Hi all, I can't come over a problem with formula. Suppose I have a coxmod model with the following formula: > somemod$formula Surv(lebzeit, tot == 1) ~ sex + (alter >= 65) + diff3k + zelltyp_k_c + q_nuc_3k + kar_k80_g80 + stadium and I want to drop the stadium explanatory variable from the model with > update(somemod, ". ~ . - stadium") I get the following messages:

Dear List, I have a list of length ~1000 filled with numerics. I need to replace the elements of this list that are above a certain numerical threshold with the value of the threshold. e.g example=list(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1) threshold=5 <magic code goes here> example=(1, 2, 3, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 4, 3, 2, 1). I have written a crude

There have been several constructive responses to John Sorkin's comment, but none of them are fully satisfactory. Of course, if you know the name of the function you are looking for, there are lots of ways to search — provided that everyone calls the function by a name that matches your search. If you think there might be a function, but you don't know the name, then you have

Dear llvm-dev list, Apologies if this list is not the right venue for this query - suitable redirection would be appreciated in that case. I have a JIT use case that I'd like to know the best way to implement using LLVM. I am looking to migrate from the existing native compilation option (Tiny C Compiler - TCC) for pLisp, a Lisp dialect and IDE. At present, the native compilation is done

Dear list, I wish to define a set of functions *auxilliary* to another set of "main" ones, and I wonder if there is some "clever" way do do this using lexical scoping. Looking for that in the list's archives did not get me easily understood answers. Perusing MASS (1st, 2nd, 3rd and 4th editions!) and "Programming S" wasn't of much help either... R easily

Hi Lisp users, I'm a user of both Common Lisp and R (GNU R). I found R has a rich collection of statistical and numerical computation functions, while it is not as extensible as Lisp (Common Lisp). I considered Lisp-Stat but its only implementation is not in the usuall Common Lisp, and the available functions in CRAN are far richer than Lisp-Stat currently has. I want to know if there is

On Tue, Sep 10, 2019 at 1:40 PM David Greene via llvm-dev < llvm-dev at lists.llvm.org> wrote: > Renato Golin via llvm-dev <llvm-dev at lists.llvm.org> writes: > > > But perhaps more importantly, as Hal states clearly, is the need for > > an official specification, similar to the one for LLVM IR, as well as > > a formal document with the expected semantics into

I have written some programs in Common Lisp and I have been using SAS to pipe those programs to my lisp compiler in batch mode by using the %xlog and %xlst SAS commands. I wonder if there is in R a similar way to pipe commands to LISP so that all my work would be concentrated in R even when I have to call a LISP program? I have looked at the foreign library but this seems to adjust data types not