similar to: Questions on version arg to setClass and serialized instances

Hi, All: ????? What would you suggest one use to read the data on members of the US Congress and their positions on net neutrality from "https://www.battleforthenet.com/scoreboard" into R? ????? I found recommendations for the "rvest" package to "Easily Harvest (Scrape) Web Pages".? I tried the following: URL <-

Hi, It seems that new("externalptr") is always returning the same instance, and not a new one as one would expect from a call to new(). Of course this is hard to observe: > new("externalptr") <pointer: (nil)> > new("externalptr") <pointer: (nil)> since not a lot of details are displayed. For example, it's easy to see that 2

Given an externalptr object 'pool' which protects an R object 'prot': # SEXP prot = (a dynamically updated list with handles) SEXP pool = R_MakeExternalPtr(p, R_NilValue, prot); R_RegisterCFinalizerEx(pool, fin_pool, TRUE); WRE explains that 'prot' remains in existence as long as 'pool' is around. Does this also mean 'prot' still exists when the

Hi, I am using swig to build a wrapper for an c-function to use it in R. I would like to define a generic function, which gives back a void pointer. On the R side, I know what this pointer is pointing to, whether it is an integer or an string, or something else... but I need to somehow reinterpret the resulting "externalptr" into another form... a function that looks like the

Dear R friends. After having some troubles learning how to create a ffdf object, now I find myself having problems saving it. this is the data i´d like to save: str(DATA) List of 3 $ virtual: 'data.frame': 6 obs. of 7 variables: .. $ VirtualVmode : chr "double" "short" "integer" "integer" ... .. $ AsIs : logi FALSE FALSE FALSE

Greetings. 2.15.0 added this behavior http://developer.r-project.org/blosxom.cgi/R-devel/NEWS/2012/03/29#n2012-03-29 o Passing R objects other than atomic vectors, functions, lists and environments to .C() is now deprecated and will give a warning. Most cases (especially NULL) are actually coding errors. NULL will be disallowed in future. This seems to make sense,

Dear all: I got some error messages when I installed R-2.4.0 on Compaq Tru64 Unix V5.1B, I set the R_HOME=/shs/R and then try 'make' command after configuration and it showed "Make: Cannot open /share/make/vars.mk. Stop.",after that,I used the 'gmake' to implement. The following is my installation steps: 1. ./configure --enable-R-shlib --prefix=/shs/R MAKE=gmake (no

hello, if i load the RSQLite package in addition to the RPostgreSQL package, i get various errors when trying to use RPostgreSQL functions. here is an example transcript showing one such error: ========================================================== R version 2.15.0 (2012-03-30) [...] > packageVersion('RPostgreSQL') [1] 0.3.2 > packageVersion('RSQLite') [1] 0.11.1

Here is a complete 104-line native code compiler for a tiny subset of OCaml that is expressive enough to compile an external Fibonacci program: type expr = | Int of int | Var of string | BinOp of [ `Add | `Sub | `Leq ] * expr * expr | If of expr * expr * expr | Apply of expr * expr type defn = | LetRec of string * string * expr open Camlp4.PreCast;; let expr = Gram.Entry.mk

On Sun, 18 Mar 2018, Jialin Ma wrote: > Dear all, > > I am confused about the inconsistent behaviors of `@<-` operator when > used in different ways. Consider the following example: > > library(inline) > > # Function to generate an externalptr object with random address > new_extptr <- cfunction(c(), ' > SEXP val = PROTECT(ScalarLogical(1)); >

Full_Name: Richard Boyce Version: 2.1.-1 OS: Debian testing/unstable Submission from: (NULL) (128.95.123.29) While building a custom package using a modified version of Duncan's REventLoop with R version 2.1 (Debian package r-base, r-base-dev) and R source from apt-get source 2.1.1 I get the following error: $ R CMD build vjREventLoop * checking for file

In what way is this a bug in R? It looks like a bug in the package, and as Defn.h is not part of R's API any packge using it is `at risk' (and cannot be installed in a binary-only installation, or even an installed version of R). In particular, Defn,.h depends on config.h, and it seems you installed a binary version of R and used separate sources. I would suggest building R from

Dear list, Tadashi Kadowaki has developed a pdf device package that allows to add hyperlinks and popups to (currently) text, mtext and rect calls. The package passes R CMD check (minor warnings) and compiles on MacOS X and GNU/Linux, but we do not succeed in building the package for Windows. The current version of the package can be checked out as svn checkout

Is there a 'proper' way of checking if cluster is active. For example, I create a cluster called .PBcluster > str(.PBcluster) List of 4 $ :List of 3 ..$ con :Classes 'sockconn', 'connection' atomic [1:1] 3 .. .. ..- attr(*, "conn_id")=<externalptr> ..$ host: chr "localhost" ..$ rank: int 1 ..- attr(*, "class")= chr

Hello R users, I am trying to make a my first package and I get an error that I can understand. The package is build out of three files (one for functions, 1 for s4 classes and 1 for s4 methods). Once I source them I run package.skeleton( name="TDC" ) within a R session and I get Creating directories ... Creating DESCRIPTION ... Creating Read-and-delete-me ... Saving functions and

I am out of my league with this question. The following code starts the java imaging program ImageJ from within R, and displays an image (assuming ImageJ is installed on your computer). library(RImageJ) img <- IJ$openImage( file.choose() ) #pick an available .tif file img$show() # make the image object visible # An image is now displayed # find out about the objects involved >

Dear R users we're having a problem reading a largish data file using read.table(). The file consists of 175000 lines of 4 floating pt numbers. Here's what happens: > dat_read.table('sst.dat') Error: memory exhausted (This is line 358 of src/main/memory.c). Cutting down the file to around 15000 lines allows read.table() to work OK. I edited the memory limits in Platform.h

Dear all, I am confused about the inconsistent behaviors of `@<-` operator when used in different ways. Consider the following example: library(inline) # Function to generate an externalptr object with random address new_extptr <- cfunction(c(), ' SEXP val = PROTECT(ScalarLogical(1)); SEXP out = PROTECT(R_MakeExternalPtr(&val, R_NilValue, val)); UNPROTECT(2);

As I mentioned in my previous message about speeding up evalList, I've been looking at ways to speed up the R interpreter. One sees in the code many, many calls of PROTECT, UNPROTECT, and related functions, so that seems like an obvious target for optimization. Indeed, I've found that one can speed up the interpreter by about 10% by just changing these. The functions are actually macros

Hi, I've been trying to use the impute2mach function in the GenABEL library. I unfortunately cannot make a working example as when I scale down the files I no longer get an error message. The error message that I get on the full file is: Error in checkSlotAssignment(object, name, value) : assignment of an object of class "NULL" is not valid for slot "data" in an