similar to: library() in .Rd Examples (Depends vs. Imports)?

Hi Duncan, Many thanks (yet again). With the hint given by your earlier email (viz that currently loadNamespace expects a 3rd component called name in the list that is used for the versionCheck argument) I had another look at what was going on with my toy examples yesterday evening. I'm still working on my issue, but thus far I have: 1) Confirmed that internal calls to loadNamespace

Hi, The parser doesn't seem to like this: somePackage::foo(x) <- value somePackage:::foo(x) <- value where foo() is a replacement function or method defined in package somePackage. For example: > x <- integer(4) > base::length(x) <- 7 Error in base::length(x) <- 7 : invalid function in complex assignment I've tried to put some back quotes on the

Hi All I have a bit of a strange one, and am not sure I''m doing this right. This is with 2.6.4 on Solaris 10 We want to create a sym link from a source file that is created by a package. If the package isn''t installed, puppet in noop is registering an error (big red in the dashboard) because it cannot stat the source file of the link. root@warbjohn# cat /tmp/symlink2.pp

Hi Duncan The difference is that in your call to loadNamespace, the versionCheck list has 3 components (name, op and version), whereas the documentation only mentions 2 (op and version). loadNamespace 'works' for me provided I add a third component to the list (even a nonsense one). What I haven't yet had the fortitude to do is track down through the code to see what the arguments

R-helpers: I'm running a file search on my entire drive (Mac OS X) using: files_found <- list.files(dir="/",pattern=somepattern,recursive=TRUE,full.names=TRUE) where somepattern is a search pattern (which I have confirmed via a unix "find / -name somepattern" only returns ~ 3 results). I keep getting an error: Error: C stack usage is too close to the limit when

Quantreggers: I'm trying to run rq() on a dataset I posted at: https://docs.google.com/file/d/0B8Kij67bij_ASUpfcmJ4LTFEUUk/edit?usp=sharing (it's a 1500kb csv file named "singular.csv") and am getting the following error: mydata <- read.csv("singular.csv") fit_spl <- rq(raw_data[,1] ~ bs(raw_data[,i],df=15),tau=1) > Error in rq.fit.br(x, y, tau = tau, ...) :

R-developers: I'm working on updating my R package "spatial.tools", and one thing I was wondering was the proper way to have hidden functions -- should I simply not export them to the namespace and use the ::: operator to call them (which is what I currently do)? --j -- Jonathan A. Greenberg, PhD Assistant Professor Global Environmental Analysis and Remote Sensing (GEARS)

I'm working on an update for my CRAN package "spatial.tools" and I noticed a new warning when running R CMD CHECK --as-cran: * checking CRAN incoming feasibility ... NOTE Maintainer: 'Jonathan Asher Greenberg <spatial-tools@estarcion.net>' Depends: includes the non-default packages: 'sp' 'raster' 'rgdal' 'mmap' 'abind'

R-helpers: It looks like http://finzi.psych.upenn.edu/search.html has stopped spidering the mailing lists -- this used to be my go-to site for searching for R solutions. Are there any good replacements for this? I want to be able to search both functions and mailing lists at the same time. Cheers! --j -- Jonathan A. Greenberg, PhD Assistant Professor Department of Geography University of

R-helpers: Say I have a list: myvariables <- list(a=1:10,b=20) Is there a way to load the list components into the environment as variables based on the component names? i.e. by applying this theoretical function to myvariables I would have the variables a and b loaded into the environment without having to explicitly define them. --j -- Jonathan A. Greenberg, PhD Assistant Professor

R-helpers: I need a quick help with the following graph (I'm a lattice newbie): require("lattice") npp=1:5 names(npp)=c("A","B","C","D","E") barchart(npp,origin=0,box.width=1) # What I want to do, is add a single vertical line positioned at x = 2 that lays over the bars (say, using a dotted line). How do I go about doing this?

This is probably a very noobish question, but if I want to create a function that allows an undetermined number of, say, numeric vectors to be fed to it, I would use: myfunction = function(...) { # Do something } Right? If so, how do I a) count the number of vectors "fed" to the function, and b) how do I treat those vectors as variables, e.g. for the call:

R-helpers: What would be the absolute fastest way to make a large "empty" file (e.g. filled with all zeroes) on disk, given a byte size and a given number number of empty values. I know I can use writeBin, but the "object" in this case may be far too large to store in main memory. I'm asking because I'm going to use this file in conjunction with mmap to do parallel

R-helpers: Are there any ways to auto-generate R-friendly (e.g. will pass a compilation check) .Rd files given a set of .R code? How about GUIs that help properly format the .Rd files? Thanks! I want a basic set of .Rd files that I can update as I go, but as with most things my documentation typically lags behind my coding by a few days. --j -- Jonathan A. Greenberg, PhD Assistant Project

Hi all, I am trying to use llvm-gcc to link shared libraries on windows/mingw32. When I try to link libraries that contain functions declared with __declspec(dllexport) someFunction(); I get the link error: Cannot export _someFunction: symbol not found Removing the declspec directive solves the problem, but this is not a very feasible solution for me. Using 'regular' gcc does not

R-developers: I'm beginning to work on a manuscript for a set of functions I developed for a package I have on CRAN (spatial.tools), and I'd like to rename a function in my package to give a better idea of what it does prior to manuscript submission -- is there a "safe" way to do a backwards-compatible rename of a function within a CRAN package (so functions that rely on the

Hi, When I install a package as a non-root user, it gets saved in a path such as ~/R/x86_64-unknown-linux-gnu-library/3.4 for any R version 3.4.x. Thus, if I want to install the packages somewhere else, as root say, I might do install.packages("somepackage","/some/where/else/R/site-library/3.4") In this case I would then want to construct the appropriate path in, say,

R-developers: I had a quick question for the group -- let's say a package I am developing depends on a single, small function from a large CRAN-listed package. I can, of course, set a dependency within my own package, but are there means by which I can include the R script + man file DIRECTLY in my package (of course attributing the code to the original programmer). Does it require me

> I am trying to use llvm-gcc to link shared libraries on windows/mingw32. > When I try to link libraries that contain functions declared with >  __declspec(dllexport) someFunction(); > > I get the link error: > >  Cannot export _someFunction: symbol not found dllexport declspec should be put on the function definition, in this example there is nothing to export - dllexport

Folks: Say I have a set of histogram breaks: breaks=c(1:10,15) # With bin ids: bin_ids=1:(length(breaks)-1) # and some data (note that some of it falls outside the breaks: data=runif(min=1,max=20,n=100) *** What is the MOST EFFICIENT way to "classify" data into the histogram bins (return the bin_ids) and, say, return NA if the value falls outside of the bins. By classify, I mean