Greetings All. This is a somewhat generic query (I'm really asking on behalf of a friend who uses R on Windows, whereas I'm on Linux, but the same phenomenon appears on both).
Say one has a largish dataframe -- call it "G" -- which in the case under discussion has 592 rows and 41 columns. The intention is to display the data by simply entering its name (G) as command. Say the display console has been set wide enough to display 15 columns (determined by lengths of column names). Then R will output succesively to the console, in continuous flow: Chunk 1: rows 1:592 of columns 1:15 Chunk 2: rows 1:592 of columns 16:30 Chunk 3: rows 1:592 of columns 31:41 If the number of rows that can be displayed on the screen is, say, 60, then only rows 533:592 of Chunk 3 will be visible in the first instance. However, on my Linux system at any rate, I can use Shift+PgUp to scroll back up through what has been output to the console. It seems that my friend proceeds similarly. But now, after a certain number of (Shift+PgUps), one runs out of road before getting to Row 1 of Chunk 1 (in my friend's case, only Rows 468-592 of Chunk 1 can be seen). The explanation which occurs to me is that the console has a "buffer" in which such an output is stored, and if the dataframe is too big then lines 1:N (for some N) of the output are dropped from the start of the buffer, and it is impossible to go further back than line (N+1) of Chunk 1 where in this case N=467 (of course one may not even be able to go further back than Chunk K, for some K > 1, for a bigger dataframe). The query I have is: In the light of the above, is there a way to change the size of the "buffer" so that one can scroll all the way back to the very first row of Chunk 1? (The size-change may perhaps have to be determined empirically). With thanks, Ted. ------------------------------------------------- E-Mail: (Ted Harding) <ted.hard...@wlandres.net> Date: 01-Apr-2013 Time: 21:37:17 This message was sent by XFMail ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.