search for: pair2

Hi, How can I partitioned an example vector like this > print(myvector) [1] 30.9 60.1 70.0 73.0 75.0 83.9 93.1 97.6 98.8 113.9 into the following pairwise partition: PAIR1 part1 = 30.9 part2 = 60.1 70.0 73.0 75.0 83.9 93.1 97.6 98.8 113.9 PAIR2 part1 = 30.9 60.1 part2 = 70.0 73.0 75.0 83.9 93.1 97.6 98.8 113.9 .... PAIR9 part1 = 30.9 60.1 70.0 73.0 75.0 83.9 93.1 97.6 98.8 part2 = 113.9 I'm stuck with this kind of loop: __BEGIN__ # gexp is a Vector process_two_partition <- function(gexp) {...

...uote = quote, dec = dec, nmax = nrows, skip =0, na.strings, quiet = TRUE, fill = fill, strip.white = strip.white, nlak.lines.skip = blank.lines.skip, multi.line = FLASE, comment.char = comment.char) 7: read.table("_data\\TempFile, sep = ",", col.names = c("pair1", "pair2")) 6:ReadIBD.data("ibd.out") 5:RunGH(dat) 4:Read.Data(dat, x, HRallele) 3:eval.with.vis(expr, envir, enclos) 2:eval.with.vis(ei, envir) 1:source("TrendTest.Main.SSC") grep -e 'read.table; *.SSC indicates that the read.table() function is called in ReadIBD.SSC on line...

...s Mode [1,] 3 data.frame list [2,] 3 data.frame list [3,] 3 data.frame list [4,] 3 data.frame list [5,] 3 data.frame list [6,] 3 data.frame list [7,] 3 data.frame list ... > aa[1] [[1]] b p d 1 1 pair1 1.07293 2 1 pair2 1.74022 3 1 pair3 4.17572 4 1 pair4 1.52449 5 1 pair5 1.63937 6 1 pair6 4.36470 8 1 pair8 1.17507 10 1 pair10 0.41672 11 1 pair11 3.62334 > aa[2] [[1]] b p d 13 2 pair13 1.12680 14 2 pair14 1.41834 15 2 pair15 1.94462 16 2 pair16 4.97495 17...