similar to: R as a scripting engine

Dear R folks, wanting to compare different implementations of a solution I want to script it to iterate over the different implementations. Is there a way to do this in the R shell/command line? $ more /tmp/iterf.r f1 <- function(n = 100000, l = 100000) { z = n + l } f2 <- function(n = 100000,

What ? ====== littler - Provides hash-bang (#!) capability for R (www.r-project.org) Why ? ===== GNU R, a language and environment for statistical computing and graphics, provides a wonderful system for 'programming with data' as well as interactive exploratory analysis, often involving graphs. Sometimes, however, simple scripts are desired. While GNU R can be used

Hi. I would like to know how to start an embedded R session, and avoid datasets and the standard library packages to be loaded on startup. I've been looking at littler's code (so this is partly a question to Dirk Eddelbuettel...): > /* We don't require() default packages upon startup; rather, we > * set up delayedAssign's instead. see autoloads(). >

Hi, I've been using r (the little, but sweet one!), and recently found out about the magic argv vector of the rest of arguments passed to it. How can we process an argument that represents elements of a vector: $ r littler_ex.R 14 '3, 2' Error in ff * ss : non-numeric argument to binary operator where: ,-----[ cat ~/scripts/R/littler_ex.R ] | ff <- as.numeric(argv[1]) | ss

Dear R experts: I am a bit stymied by how the argument picking-off works in R batch file usage. $ cat commandArgs.R cat(" Command Line Arguments were ", commandArgs(), "\n"); $ /usr/bin/R CMD BATCH commandArgs.R --args 1 2 3 $ /usr/bin/R --args 1 CMD BATCH commandArgs.R ... I am now getting into interactive mode ?! I guess it really is skipping the rest of the command line

What ? ------ We are pleased to announce version 0.0.6 of littler What's new ? ------------ This version includes a bug fix or two as well as a number of small enhancements to the documentation. For OS X and the r/R confusion, our recommended suggestion is to call configure using either the --program-suffix=X or --program-prefix=Y option to have the binary and manual

summary: how to structure an R file such that it can be both 1. used as a script via, e.g., (from OS commandline) $ Rscript foo.r bar=baz 2. imported and called as a function via, e.g. (from R commandline) > source('./foo.r) > foo(bar='baz') ? I'm looking for the 'R equivalent' of how python supports this usecase. details: As discussed in the thread beginning

Full_Name: Jakob Stoeger Version: 2.7.0 OS: ubuntu 7.10 Submission from: (NULL) (137.248.74.38) Hi! I hope, it is justified to write this email... I'm relatively new to linux, and haven't worked with r, yet, so please pardon any things I do not know... I tried installing r on my computer, and didn't manage to get the program running. After having installed littler, typing r into

Hi, I'm trying to write a series of pipes using littler, and I get the following behaviour: Sorry if I'm just doing something witless, I'm new to R. I'm using the latest versions from debian testing (2.4.0 and 0.0.8). $ r -e 'a<-dget(file=stdin()); print(a)' ?list(a=2) Segmentation fault In R itself this works: > dget(file=stdin()) ?list(a=2) $a [1] 2 As do (from

Hi, I have searched the archive for the solution of this question, but couldn't find anything, so I thought I would ask here. I am using R on a Debian (testing) system. Many of the R packages I use are installed as .deb packages, those which are not available in this format I install using install.packages. When calling update.packages, sometimes the R repository version is more recent

Hi, I have searched the archive for the solution of this question, but couldn't find anything, so I thought I would ask here. I am using R on a Debian (testing) system. Many of the R packages I use are installed as .deb packages, those which are not available in this format I install using install.packages. When calling update.packages, sometimes the R repository version is more recent

Thank you so much for the explanation, JJ! It is very kind of you to give such detail and transparency. I am highly appreciative of it. Kind regards, Xu On Wed, Aug 1, 2018 at 4:50 PM, JJ Allaire <jj at rstudio.com> wrote: > What keeps happening to us is that we end up requiring older or patched > versions of Qt, which makes it challenging to be synced to whatever version > of Qt

Hello list, I'm having some difficulty getting rJava to load in littler. Even after a R CMD javareconf and a reinstall of littler, I get this: jlaing at xenon:~$ r -e "require(rJava)" Loading required package: rJava Loading required package: methods Error : .onLoad failed in loadNamespace() for 'rJava', details: call: dyn.load(file, DLLpath = DLLpath, ...) error: unable

Hi folks, Just finished installing R on Ubuntu 10.04, running on a VM, download following packages on repo; r-base littler r-cran-plotrix r-cran-qtl r-cran-rggobi But I could not get R started. r is on /usr/bin/r On console evoking it just hanging there. Any additional packages I need to install? Thanks B.R.

Hi, <This issue was previously posted in R-help, but advised to post here as a more relevant group> I was trying to install RQuantLib in my Ubuntu machine which failed with below information : *> install.packages('RQuantLib', repos='http://cran.rstudio.com/ <http://cran.rstudio.com/>', INSTALL_opts = c('--no-lock'))* *Installing package into

I have a program which reads in a very large data set, performs some analyses, and then repeats this process with another data set. As soon as the first set of analyses are complete, I remove the very large object and clean up to try and make memory available in order to run the second set of analyses. The process looks something like this: 1) read in data set 1 and perform analyses rm(list=ls())

Dear R folks, I have several data sets I want to process automatically using R. I found littler [1] and thought this will do the trick. 1. Read in data file to a data frame using `scan()`. 2. Do linear regression. 3. Write the data and the coefficients back to a file. #!/usr/bin/env r if (is.null(argv) | length(argv)!=1) { cat("Usage:

On Mon, 7 Jan 2019 at 22:09, Gergely Dar?czi <daroczig at rapporter.net> wrote: > > Dear David, sharing some related (subjective) thoughts below. > > You can provide your app as a Docker image, so that the end-user > simply calls a "docker pull" and then "docker run" -- that can be done > from a user-friendly script as well. > Of course, this requires

Hello list I have problems with little (see Debian package, r. instead R), I get an error message relate with the symbol R_Visible, it say that it is unknown. The same error I got from the Front-off or IDE for KDE (see debian packages, I really don't remember the name., it is rk... and else) How to solve this problem??? What is this symbol (R_Visible) is an internal variable???

hello all, is there somewhere a comprehensive documentation for the (C) functions used for embedded R? (e.g. the functions which are used in the directory \tests\Embedding in the R source) or Are there somewhere many more examples for this? (especially handover of data between C and embedded R) thanks, Alex --