So I have a text file that looks like this: "Label" "X" "Y" "Slice" 1 "Field_1_R3D_D3D_PRJ_w617.tif" 348 506 1 2 "Field_1_R3D_D3D_PRJ_w617.tif" 359 505 1 3 "Field_1_R3D_D3D_PRJ_w617.tif" 356 524 1 4 "Field_1_R3D_D3D_PRJ_w617.tif" 2 0 1 5 "Field_1_R3D_D3D_PRJ_w617.tif" 412 872 1 6 "Field_1_R3D_D3D_PRJ_w617.tif" 422 863 1 7 "Field_1_R3D_D3D_PRJ_w617.tif" 429 858 1 8 "Field_1_R3D_D3D_PRJ_w617.tif" 429 880 1 9 "Field_1_R3D_D3D_PRJ_w617.tif" 437 865 1 10 "Field_1_R3D_D3D_PRJ_w617.tif" 447 855 1 11 "Field_1_R3D_D3D_PRJ_w617.tif" 450 868 1 12 "Field_1_R3D_D3D_PRJ_w617.tif" 447 875 1 13 "Field_1_R3D_D3D_PRJ_w617.tif" 439 885 1 14 "Field_1_R3D_D3D_PRJ_w617.tif" 2 8 1
What it represents are the locations of centromeres per nucleus in a microscope image. What I need to do is do a dist() on each grouping (the grouping being separated by the low values of x and y's) and then compute an average. The part that I'm having trouble with is writing code that will allow R to separate these objects. Do I have to find some way of creating separate data frames for each object? Or is there a way to parse the file and generate a single data frame of all the pairwise distances? Any suggestions or example code would be much appreciated. Thanks! -- View this message in context: http://r.789695.n4.nabble.com/Doing-dist-on-separate-objects-in-a-text-file-tp3994515p3994515.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.