A 3rd option could be scan(text=x, what="", blank.lines.skip=FALSE)
(all because readLines() doesn't obey the text=x convention, perhaps it should? I'm unsure whether the textConnection is left open in Rui's method.) -pd > On 5 Feb 2025, at 15:35 , Duncan Murdoch <murdoch.dun...@gmail.com> wrote: > > Thanks to Rui, Peter and Tanvir! Peter's seems to be the fastest of the 3 > suggestions so far on the little test case, but on the real data (where x > contains several thousand lines), Rui's seems best. > > Duncan > > On 2025-02-05 9:13 a.m., peter dalgaard wrote: >> This also seems to work: >>> strsplit(paste(x,collapse="\n"),"\n")[[1]] >> [1] "abc" "def" "" "ghi" >>> On 5 Feb 2025, at 14:44 , Duncan Murdoch <murdoch.dun...@gmail.com> wrote: >>> >>> If I have this object: >>> >>> x <- c("abc\ndef", "", "ghi") >>> >>> and I write it to a file using `writeLines(x, "test.txt")`, my text editor >>> sees a 5 line file: >>> >>> 1: abc >>> 2: def >>> 3: >>> 4: ghi >>> 5: >>> >>> which is what I'd expect: the last line in the editor is empty. If I use >>> `readLines("test.txt")` on that file, I get the vector >>> >>> c("abc", "def", "", "ghi") >>> >>> and all of that is fine. >>> >>> What I'm looking for is simple code that modifies x to the `readLines()` >>> output, without actually writing and reading it. >>> >>> My first attempt doesn't work: >>> >>> unlist(strsplit(x, "\n")) >>> >>> because it leaves out the blank line 3. I can fix that with this ugly code: >>> >>> lines <- strsplit(x, "\n") >>> lines[sapply(lines, length) == 0] <- list("") >>> lines <- unlist(lines) >>> >>> Surely there's a simpler way to do this? I'd like to use just base >>> functions, no other packages. >>> >>> Duncan Murdoch >>> >>> ______________________________________________ >>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>> https://stat.ethz.ch/mailman/listinfo/r-help >>> PLEASE do read the posting guide >>> https://www.R-project.org/posting-guide.html >>> and provide commented, minimal, self-contained, reproducible code. > -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Office: A 4.23 Email: pd....@cbs.dk Priv: pda...@gmail.com ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide https://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.