1 | #!/usr/bin/env python |
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2 | #Greg Von Kuster |
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3 | """ |
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4 | Calculate correlations between numeric columns in a tab delim file. |
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5 | usage: %prog infile output.txt columns method |
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6 | """ |
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7 | |
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8 | import sys |
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9 | from rpy import * |
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10 | |
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11 | def stop_err(msg): |
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12 | sys.stderr.write(msg) |
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13 | sys.exit() |
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14 | |
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15 | def main(): |
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16 | method = sys.argv[4] |
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17 | assert method in ( "pearson", "kendall", "spearman" ) |
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18 | |
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19 | try: |
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20 | columns = map( int, sys.argv[3].split( ',' ) ) |
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21 | except: |
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22 | stop_err( "Problem determining columns, perhaps your query does not contain a column of numerical data." ) |
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23 | |
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24 | matrix = [] |
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25 | skipped_lines = 0 |
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26 | first_invalid_line = 0 |
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27 | invalid_value = '' |
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28 | invalid_column = 0 |
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29 | |
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30 | for i, line in enumerate( file( sys.argv[1] ) ): |
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31 | valid = True |
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32 | line = line.rstrip('\n\r') |
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33 | |
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34 | if line and not line.startswith( '#' ): |
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35 | # Extract values and convert to floats |
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36 | row = [] |
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37 | for column in columns: |
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38 | column -= 1 |
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39 | fields = line.split( "\t" ) |
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40 | if len( fields ) <= column: |
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41 | valid = False |
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42 | else: |
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43 | val = fields[column] |
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44 | if val.lower() == "na": |
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45 | row.append( float( "nan" ) ) |
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46 | else: |
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47 | try: |
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48 | row.append( float( fields[column] ) ) |
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49 | except: |
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50 | valid = False |
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51 | skipped_lines += 1 |
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52 | if not first_invalid_line: |
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53 | first_invalid_line = i+1 |
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54 | invalid_value = fields[column] |
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55 | invalid_column = column+1 |
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56 | else: |
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57 | valid = False |
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58 | skipped_lines += 1 |
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59 | if not first_invalid_line: |
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60 | first_invalid_line = i+1 |
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61 | |
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62 | if valid: |
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63 | matrix.append( row ) |
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64 | |
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65 | if skipped_lines < i: |
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66 | try: |
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67 | out = open( sys.argv[2], "w" ) |
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68 | except: |
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69 | stop_err( "Unable to open output file" ) |
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70 | |
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71 | # Run correlation |
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72 | try: |
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73 | value = r.cor( array( matrix ), use="pairwise.complete.obs", method=method ) |
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74 | except Exception, exc: |
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75 | out.close() |
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76 | stop_err("%s" %str( exc )) |
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77 | for row in value: |
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78 | print >> out, "\t".join( map( str, row ) ) |
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79 | out.close() |
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80 | |
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81 | if skipped_lines > 0: |
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82 | msg = "..Skipped %d lines starting with line #%d. " %( skipped_lines, first_invalid_line ) |
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83 | if invalid_value and invalid_column > 0: |
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84 | msg += "Value '%s' in column %d is not numeric." % ( invalid_value, invalid_column ) |
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85 | print msg |
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86 | |
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87 | if __name__ == "__main__": |
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88 | main() |
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