similar to: how to insert NULLs in lists?

Hi Frederick, I described what I meant in the post I sent to R-help (https://stat.ethz.ch/pipermail/r-help/2016-September/442174.html), but in brief, by "zero overhead" I mean that the only thing needed for library code to be accessible to client code is for it to be located in designed directory. No additional meta-files, packaging/compiling, etc. are required. Best, G. On Sun, Oct

On Mon, Oct 3, 2016 at 10:18 AM, <frederik at ofb.net> wrote: > Hi Kynn, > > Thanks for expanding. > > I wrote a function like yours when I first started using R. It's > basically the same up to your "new.env()" line, I don't do anything > with environmentns. I just called my function "mysource" and it's > essentially a "source

I'm looking for a way to approximate the "zero-overhead" model of code reuse available in languages like Python, Perl, etc. I've described this idea in more detail, and the motivation for this question in an earlier post to R-help (https://stat.ethz.ch/pipermail/r-help/2016-September/442174.html). (One of the responses I got advised that I post my question here instead.) The

On 10/03/2016 01:51 PM, Kynn Jones wrote: > Thank you all for your comments and suggestions. > > @Frederik, my reason for mucking with environments is that I want to > minimize the number of names that import adds to my current > environment. For instance, if module foo defines a function bar, I > want my client code to look like this: > > import("foo") >

Hi! I'm new to R programming, though I've been programming in other languages for years. One thing I find most frustrating about R is how difficult it is to use Google (or any other search tool) to look for answers to my R-related questions. With languages with even slightly more distinctive names like Perl, Java, Python, Matlab, OCaml, etc., usually including the name of the language

Hi. I'm pretty new to R, but I've been programming in other languages for some time. I have a couple of questions regarding programming with function objects. 1. Is there a way for a function to refer generically to all its actual arguments as a list? I'm thinking of something like the @_ array in Perl or the arguments variable in JavaScript. (By "actual" I mean the ones

Dear list; How can I speed up the run of following code (illustrative) #======================================================================== con<-vector("numeric") for (i in 1:limit) { if(matched data for the ith item found) { if(i==1) {con<-RowOfMatchedData } else {con<-rbind(con,matchedData)} } }

Hi Kynn, Thanks for expanding. I wrote a function like yours when I first started using R. It's basically the same up to your "new.env()" line, I don't do anything with environmentns. I just called my function "mysource" and it's essentially a "source with path". That allows me to find code I reuse in standard locations. I don't know why R does not

Hi, everyone. I'm trying to debug an R-module, written in C, and I'm using gdb for this. How can I print "standard" R objects from within C code? BTW, I'm familiar with the advice to use R_PV given in Writing R Extensions, but it's not working for me. E.g., I get (gdb) p R_PV(x) $1 = void and yet (gdb) p *x $2 = {sxpinfo = {type = 16, obj = 0, named = 0, gp = 0,

Thank you all for your comments and suggestions. @Frederik, my reason for mucking with environments is that I want to minimize the number of names that import adds to my current environment. For instance, if module foo defines a function bar, I want my client code to look like this: import("foo") foo$bar(1,2,3) rather than import("foo") bar(1,2,3) (Just a personal

Hi! I'm working on a package that must convert data to and from JSON. For this, it can use either the rjson package, or preferably, the faster RJSONIO package. I have two related questions about this. First, how can I specify that the package depends on *either* RJSONIO *or* rjson? (I.e. both are not required.) Second, what's the best-practice R idiom for such conditional loading?

Is there a *fast* converter between JSON and R? I'm aware of the rjson package, but it is implemented in R, and it is too slow for my purposes. TIA! kynn [[alternative HTML version deleted]]

I'm in the process of coding a parser (in C) to generate R entities (vectors, lists, etc.) from a text description (different from R). The basic parser works, and now I need to tell it how to create R entities. I need to be able to create character vectors (for unicode strings), integers, floats, unnamed lists, named lists, boolean values, and NA. With the exception of the two types of lists

When converting from JSON to R it seems logical that a JSON array would correspond to an "unnamed" R list, while a JSON object would correspond to a "named" R list. E.g. JSON: [1, 3.1415927, "foo", false, null] => R: list(1, 3.1415927, "foo", FALSE, NA); and JSON { "int": 1, "float": 3.1415927, "string": "foo",

I'm very green with R, so maybe this is not a bug, but it looks like one to me. The following program segfaults at the second call to Rf_PrintValue(). To failure depends on the value of the y-string. E.g., if I change it from "coverage" to, say, "COVERAGE", the segfault does not occur. /* bug.c */ #include <stdio.h> #include <Rinternals.h> #include

I was surprised to see that there is a ScalarInteger function in Rinlinedfuns.h, but nothing like ScalarLong. How can one create an R-integer from a C long? TIA! kynn [[alternative HTML version deleted]]

Check out ?klmr/modules? on Github (distinct from CRAN?s ?modules?!). It looks pretty much exactly like what you want: https://github.com/klmr/modules It has an extensive README and vignette explaining the usage. Cheers, Konrad -- Konrad Rudolph On Sun, 2 Oct 2016 at 18:31 Kynn Jones <kynnjo at gmail.com> wrote: > I'm looking for a way to approximate the

I've been going back to old difficult R-list "evaluation" emails that I save in order to understand evaluation better and below still confuses me. Could someone explain why A) works and B) doesn't. A variant of below is in the Pat's Inferno book also but I'm still not clear on what is happening. Thanks. f <- function() { # FORCING i here doesn't help

Consider the following simple C program: /*** hello_r.c ***/ #include <Rinternals.h> SEXP hello() { return mkString("Hello, world!\n"); } int main(void) { SEXP x = hello(); return x == NULL; /* i.e. 0 on success */ } This program segfaults: % myR/bin/R CMD LINK gcc -I./R-2.9.0/src/include -L./myR/lib64/R/lib -lR hello_r.c -o hello_r > /dev/null % hello_r zsh:

Let me preface my question by stressing that I am much less interested in the answer than in learning a way I could have *found the answer myself*. (As helpful as the participants in this list are, I have far too many R-related questions to resolve by posting here, and as I've written before, in my experience the R documentation has not been very helpful, but I remain hopeful that I may have