similar to: How to program with colleagues

I understand why the following happens ($.proto delegates to get, which ascends the parent hierarchy up to globalenv()), but I still find it anti-intuitive: > z <- 1 > y <- proto(a=2) > y$z [1] 1 Although this is well-documented behavior; wouldn't it uphold the principle of least surprise to inherit instead from baseenv() or emptyenv()? (See attached patch.) Spurious

First, the reproducable example, showing how converting from character to POSIXct to character changes the milliseconds in the first time stamp though not in the second: > as.POSIXct('2010-06-03 9:03:58.324') [1] "2010-06-03 09:03:58.323 PDT" > as.POSIXct('2010-06-03 9:03:58.325') [1] "2010-06-03 09:03:58.325 PDT" This seems to be due to truncation of

Folks, I've run into trouble while writing functions that I hope will create and modify a dataframe or two. To that end I've written a toy function that simply sets a couple of variables (well, tries but fails). Searching the archives, Thomas Lumley recently explained the <<- operator, showing that it was necessary for x and y to exist prior to the function call, but I haven't

I know R has a steep learning curve, but from where I stand the slope looks like a sheer cliff. I'm pawing through the available docs and have come across examples which come close to what I want but are proving difficult for me to modify for my use. Calculating simple group means is fairly straight forward: data(PlantGrowth) attach(PlantGrowth) stack(mean(unstack(PlantGrowth)))

Dear colleagues, This may be a question with a really obvious answer, but I can't find it. I have access to a large file with real medical record identifiers (mixed strings of characters and numbers) in it. These represent medical events for many thousands of people. It's important to be able to link events for the same people. It's much more important that the real record numbers

All, I just finished the process of build a package for the first time and found it characteristically (for R) very straightforward and well documented. Whenever I deal with open source software I always endeavor to finish the task I have in mind, and upon completing this, I then revisit all of the configurations, customizing as necessary to achieve my goals more fully. The ability to achieve

There are loads of resources for users of any other statistics package who are learning R. For example http://www.google.com/search?q="r+for+sas-users" The reverse isn't the case http://www.google.com/search?q="sas+for+r-users" Having heard rumors of how unelegant other statistics packages are, I don't see why any R-user would ever want to switch to anything else.

Hi, I have been using R for a while. Recently, I have begun converting my package into S4 classes. I was previously using Rdoc for documentation. Now, I am looking to use the best tool for S4 documentation. It seems that the best choices for me are Roxygen and Sweave (I am fine with tex). Are there any users of Roxygen or Sweave who can comment on the strengths or weaknesses of one or othe

On 30/01/2018 11:29 AM, Brian G. Peterson wrote: > On Tue, 2018-01-30 at 17:00 +0100, Suzen, Mehmet wrote: >> Dear R developers, >> >> I am wondering what are the best practices for developing an R >> package. I am aware of Hadley Wickham's best practice >> documentation/book (http://r-pkgs.had.co.nz/).??I recall a couple of >> years ago there were some

Duncan Murdoch <murdoch.duncan <at> gmail.com> writes: > > On 04/10/2015 10:10 AM, Jonathan Greenberg wrote: > > Folks: > > [snip snip snip] > > > > Is there a way to do a conditional importFrom based on the OS? Or can I > > safely ignore this (I'm trying to submit to CRAN). > > > > Yes, you can put conditionals into the

Hi is there a list of all roxygen tags which are available? I couldn't find them. I am asking specifically towards the use of roxygen in documenting S4 classes - is that implemented yet (i am using roxygen 0.1 from CRAN at the moment)? Thanks Rainer -- Rainer M. Krug, Centre of Excellence for Invasion Biology, Stellenbosch University, South Africa

Any way to tell Roxygen to ignore a block of code? It is generating an unwanted .Rd file. I've been searching for hours for an example, scouring documentation, but no luck... Thanks. - Ken -- View this message in context: http://www.nabble.com/Roxygen-to-ignore-a-block-of-code--tp24133293p24133293.html Sent from the R help mailing list archive at Nabble.com.

Dear R developers, I am wondering what are the best practices for developing an R package. I am aware of Hadley Wickham's best practice documentation/book (http://r-pkgs.had.co.nz/). I recall a couple of years ago there were some tools for generating a package out of a single file, such as using package.skeleton, but no auto-generated documentation. Do you know a way to generate

While checking packages against R 2.13.0-beta on Windows, I have run into a few strange error messages related to copying files. The errors all relate to file.copy() and have the form of: Error in Sys.chmod(to[okay], file.info(from[okay])$mode, TRUE) : 'mode' must be of length at least one After half a day of tinkering, the best reproducible example I can come up with involves using

Hello useRs, I'm trying to use the Roxygen package. Here my code file : #' A packge to check Roxygen's sanity #' @name helloRoxygen-package #' @docType package NA And my R code to generate the package : library(roxygen) package.skeleton("helloRoxygen", code_files = "roxy.r", force = T) roxygenize("helloRoxygen", "helloRoxygen",

Hi all, Since roxygen is a great help to document R packages, I am wondering if there exists an approach to go back from the raw Rd files to roxygen-documentation? E.g. turn "\author{Somebody}" into "@author Somebody". This sounds ridiculous, but I believe it helps in the long term for me to maintain R packages. Thanks! Regards, Yihui -- Yihui Xie <xieyihui at

Dear list, somehow I can't get the Roxygen tag "@example" to work for me. My "Roxygen-Header" of a script containing, say, a function looks like this: #' My header #' #' My description #' #' @param a Blabla. #' @param b Blabla. #' @return \code{TRUE}. #' @callGraphPrimitives #' @references #'

Folks, I've been running into an odd situation that occurs when I use length() function with aggregate(), but not with either one separately. Together, the results looks correct but is given an unexpected name. 'if (stringsAsFactors) factor(x) else x' instead of just 'x'. # Numbers work ok tt <- data.frame(idx=c(1,1,1,1,1,1,2,2,2,2,2,2)

I have Vista Home with R-2.9.0, and installed and tried to test the package 'roxygen': > utils:::menuInstallPkgs() trying URL 'http://lib.stat.cmu.edu/R/CRAN/bin/windows/contrib/2.9/roxygen_0.1.zip' Content type 'application/zip' length 699474 bytes (683 Kb) opened URL downloaded 683 Kb package 'roxygen' successfully unpacked and MD5 sums checked The

On 31/01/2018 6:33 AM, Joris Meys wrote: > 3. given your criticism, I'd like your opinion on where I can improve > the documentation of https://github.com/CenterForStatistics-UGent/pim. > I'm currently busy updating the help files for a next release on CRAN, > so your input is more than welcome. After this invitation I sent some private comments to Joris. I would say his