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Top Forums Shell Programming and Scripting simple join for multiple files and produce 3 outputs Post 302449064 by Franklin52 on Saturday 28th of August 2010 07:21:56 AM
Old 08-28-2010
Try this, the variable nfiles contains the number of files:
Code:
awk -v nfiles="4" 'NR==FNR{a[$0]++;next}
$0 in a {a[$0]++; next}
{b[$0]++}
END{
  for(i in a){
    if(a[i]==nfiles) {
      print i > "output1"
    }
    else if(a[i]==1) {
        print i > "output3"
    }
  }
  for(i in b){
    if(b[i]==nfiles-1) {
        print i > "output2"
    }
  }
}' file1 filea fileb filec

 

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svm-subset(1)							   User Manuals 						     svm-subset(1)

NAME
svm-subset - a subset selection tool for LIBSVM SYNOPSIS
svm-subset [ -s method ] dataset number [ output1 ] [ output2 ] DESCRIPTION
Training large data is time consuming. Sometimes one should work on a smaller subset first. The python script subset.py randomly selects a specified number of samples. For classification data, we provide a stratified selection to ensure the same class distribution in the sub- set. OPTIONS
-s method 0 -- stratified selection (classification only) (default) 1 -- random selection output1 The subset. If output1 is omitted, the subset will be printed on the screen. output2 The rest of data. FILES
See svm-train(1) for the format of dataset EXAMPLES
svm-subset heart_scale 100 file1 file2 From heart_scale 100 samples are randomly selected and stored in file1. All remaining instances are stored in file2. BUGS
Please report bugs to the Debian BTS. AUTHOR
Chih-Chung Chang, Chih-Jen Lin <cjlin@csie.ntu.edu.tw>, Chen-Tse Tsai <ctse.tsai@gmail.com> (packaging) SEE ALSO
svm-train(1), svm-predict(1) Linux DEC 2009 svm-subset(1)
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