Dear useRs, Some time ago I queried the list as to an efficient way of building a function which acts as ls() but with a different default for all.names: http://tolstoy.newcastle.edu.au/R/e6/help/09/03/7588.html I have struck upon a solution which so far has performed admirably. In particular, it uses ls() and not its explicit source code, so only has a dependency on its name and the name of its all.names argument. Here is my solution: lsall <- function(...) { thecall <- as.call(c(as.name('ls'), list(...))) newcall <- match.call(definition=ls, call=thecall) if( !('all.names' %in% names(newcall)) ) newcall[['all.names']] <- TRUE eval(newcall, envir=parent.frame()) }#### end lsall In my hands this function has always acted exactly as I expected, identically to ls() but with the default of all.names=TRUE (which can be overridden as usual). In particular, it (i) gets the proper search path position right; (ii) works as expected within a browser() session. I am sharing this in case someone finds this construction helpful for other purposes, and in case someone finds a failing case they then have the option of communicating it back here. John John Szumiloski, Ph.D. Associate Principle Scientist, Biostatistics Biometrics Research WP53B-120 Merck Research Laboratories P.O. Box 0004 West Point, PA 19486-0004 USA (215) 652-7346 (PH) (215) 993-1835 (FAX) john<dot>szumiloski<at>merck<dot>com ___________________________________________________ These opinions are my own and do not necessarily reflect that of Merck & Co., Inc. Notice: This e-mail message, together with any attachme...{{dropped:14}}
On Tue, Mar 12, 2013 at 12:59 PM, Szumiloski, John <john_szumiloski at merck.com> wrote:> Dear useRs, > > Some time ago I queried the list as to an efficient way of building a function which acts as ls() but with a different default for all.names: > > http://tolstoy.newcastle.edu.au/R/e6/help/09/03/7588.html > > I have struck upon a solution which so far has performed admirably. In particular, it uses ls() and not its explicit source code, so only has a dependency on its name and the name of its all.names argument. Here is my solution: > > lsall <- function(...) { > > thecall <- as.call(c(as.name('ls'), list(...))) > newcall <- match.call(definition=ls, call=thecall) > if( !('all.names' %in% names(newcall)) ) newcall[['all.names']] <- TRUE > eval(newcall, envir=parent.frame()) > > }#### end lsall > > In my hands this function has always acted exactly as I expected, identically to ls() but with the default of all.names=TRUE (which can be overridden as usual). In particular, it (i) gets the proper search path position right; (ii) works as expected within a browser() session. I am sharing this in case someone finds this construction helpful for other purposes, and in case someone finds a failing case they then have the option of communicating it back here.Also have a look at the Defaults package, e.g. library(Defaults) ls2 <- ls setDefaults(ls2, all.names = TRUE) # test .a <- 1 ls() ls2() -- Statistics & Software Consulting GKX Group, GKX Associates Inc. tel: 1-877-GKX-GROUP email: ggrothendieck at gmail.com
On Tue, Mar 12, 2013 at 12:59 PM, Szumiloski, John <john_szumiloski at merck.com> wrote:> Dear useRs, > > Some time ago I queried the list as to an efficient way of building a function which acts as ls() but with a different default for all.names: > > http://tolstoy.newcastle.edu.au/R/e6/help/09/03/7588.html > > I have struck upon a solution which so far has performed admirably. In particular, it uses ls() and not its explicit source code, so only has a dependency on its name and the name of its all.names argument. Here is my solution: > > lsall <- function(...) { > > thecall <- as.call(c(as.name('ls'), list(...))) > newcall <- match.call(definition=ls, call=thecall) > if( !('all.names' %in% names(newcall)) ) newcall[['all.names']] <- TRUE > eval(newcall, envir=parent.frame()) > > }#### end lsallWhy not just do: lsall <- function(..., all.names = TRUE) { ls(..., all.names = all.names) } ? Then the function practically documents itself. Hadley -- Chief Scientist, RStudio http://had.co.nz/