similar to: Looking for simple line-splitting code

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"

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.duncan at gmail.com> wrote: > > Thanks to Rui, Peter and Tanvir! Peter's seems

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.duncan at gmail.com> wrote: > > If I have this object: > > x <- c("abc\ndef", "", "ghi") > > and I write it to a file

On Wed, 5 Feb 2025 08:44:12 -0500 Duncan Murdoch <murdoch.duncan at 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: >

Tony Plate wrote: > ligges@statistik.uni-dortmund.de wrote: > >> tplate@blackmesacapital.com wrote: >> >> >>> I've noticed that seek(con, 0, "end", rw="r") on a file connection >>> does not always work correctly after a write (R 2.1.0 on Windows). >>> >>> [Is a call to fflush() needed inside file_seek() in

I am new to R but am experienced SAS user and I was hoping to get some help on counting the occurrences of a character within a string at a row level. My dataframe, x, is structured as below: Col1 abc/def ghi/jkl/mno I found this code on the board but it counts all occurrences of "/" in the dataframe. chr.pos <- which(unlist(strsplit(x,NULL))=='/') chr.count <-

Dear R-help, I think I have kinda isolated the problem I had to the following: i <- 0 while( {i <- i + 1} < 5) { if(i < 3) next print(i) } This seems to go into an infinite loop. After I break the execution, i has the value 1. At the R prompt, if I start from i <- 0 and keep typing {i <- i + 1} < 5, it eventually evaluate to TRUE. So why does the while loop not work?

Hi, my data frame is x<-data.frame(ID=c("abc/def","abc/def/ghi","abc","mno/pqr/st/ab")) I want to split my column ID using "/" as the place to split. How can I do that without telling the code how many sub-columns. I could use nchar(gsub("[^/]","",x$ID)) to get how many "/" are in each row of the column, but could

Prof. Tierney, Thanks very much for the info. Why does the loop work if I move the assignment out of the condition? E.g., the following works: i <- 0 while(i < 5) { i <- i + 1 if(i < 3) next print(i) } Regards, Andy > -----Original Message----- > From: Luke Tierney [mailto:luke at nokomis.stat.umn.edu] > Sent: Tuesday, October 02, 2001 3:36 PM > To: Liaw, Andy

Dear R helpers I have following data stocks <- c("ABC", "DEF", "GHI", "JKL") prices_df <- data.frame(ABC = c(17,24,15,22,16,22,17,22,15,19),                                          DEF = c(22,28,20,20,28,26,29,18,24,21),                                           GHI = c(32,27,32,36,37,37,34,23,25,32),                                          

dear all, I have some very long strings and would like to break up each long string into multiple strings with a fixed length, e.g. to break up abcdefghijkl into abc, def, ghi, jkl I tried a couple of commands but was not successful. Any help will be appreciated. Best, Jimmy -- View this message in context:

Hi, I'm trying to use pipes in R. By now, I could launch the linux command "wc" (to count words from a text), but I don't know how to capture the results, say in a vector of chars... Here is the R code I'm trying: :> f <- pipe("wc", open="w") :> writeLines(c("uno dos tres", "cuatro cinco", "seis"), f) :> close(f)

I have a bunch of data sets that were created for the libsvm tool. They are in "colon separated sparse format". i.e. 1 5:1 27:3 345:10 Is a row with the label of "1" and only has values in columns 5, 27, and 345. I want to read these into a data.frame in R. Is there a simple way to do this? -- Noah Silverman, M.S. UCLA Department of Statistics 8117 Math Sciences

Hi all I'm have a character vector and would like to suppress the blanks if there are more than one after the other. Example: Character value is: "abc def ghi" The result should be: "abc def ghi" I know that it's possible to delete the leading blanks with the command "trim". But how can I delete blanks within a character? Thank you very much in

Working on Windows I have had to deal with CSV files that, unfortunately, contain embedded Control-Zs, i.e. ASCII character 26 in decimal, and the readLines() function in R on Windows (2.15.2 and 3.0.0) appears to truncate at the control-Z. There is no problem at all on Ubuntu Linux with R 3.0.0. Am I mistaken or is this genuine? # Create a small file with embedded Control-Z h3 <-

I have a set of labels arranged along a timeframe in a. Each label has a timestamp and marks a state until the next label. The dataframe a contains 5 such timestamps and 5 associated labels. This means, on a continious scale between 1-100, there are 5 markers. E.g. 'abc' marks the timestampls between 10 and 19, 'def' marks the timestamps between 20 and 32, and so on. a <-

There was a discussion on r-help of getting the output from print.packageInfo into a file. Spencer and I have added a file= argument to print.packageInfo for consideration in R. Had this been available it would have simplified the answer to that thread. If the file= argument is used then the packageInfo information is sent to the file specified rather than displayed using file.show .

It is also not catching the cases where the number of capture expressions does not match the number of entries in proto. I think all of the following should give an error about the mismatch. > strcapture("(.)(.)", c("ab", "cde", "fgh", "ij", "lm"), proto=list(A="",B="",C="")) A B C 1 a b cd 2 d

I'm a great fan of read.table(), but this time the data had a lot of cruft. So I used readLines() and editted the char vector to eventually get something like this: " 23.4 1.5 4.2" " 19.1 2.2 4.1" and so on. To get that into a 3 col numeric table, I first just used: writeLines(data,"tempfile")

Dear all, I have a data frame containing the results of an experiment. Like this: a<-seq(1,4,by=1) b<-seq(1,2,by=1) test<-expand.grid(b,a,a) colnames(test)<-c("replicates","bins", "groups") test$abc <- rnorm(32) test$def <- rnorm(32) test$ghi <- rnorm(32) test The following code snippet aggregates the data for one variable and then draws a