Mercurial > repos > bgruening > upload_testing
comparison cor.py @ 80:c4a3a8999945 draft
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| author | bernhardlutz |
|---|---|
| date | Mon, 20 Jan 2014 14:39:43 -0500 |
| parents | |
| children |
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| 79:dc82017052ac | 80:c4a3a8999945 |
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| 1 #!/usr/bin/env python | |
| 2 #Greg Von Kuster | |
| 3 """ | |
| 4 Calculate correlations between numeric columns in a tab delim file. | |
| 5 usage: %prog infile output.txt columns method | |
| 6 """ | |
| 7 | |
| 8 import sys | |
| 9 #from rpy import * | |
| 10 import rpy2.robjects as robjects | |
| 11 r = robjects.r | |
| 12 | |
| 13 def stop_err(msg): | |
| 14 sys.stderr.write(msg) | |
| 15 sys.exit() | |
| 16 | |
| 17 def main(): | |
| 18 method = sys.argv[4] | |
| 19 assert method in ( "pearson", "kendall", "spearman" ) | |
| 20 | |
| 21 try: | |
| 22 columns = map( int, sys.argv[3].split( ',' ) ) | |
| 23 except: | |
| 24 stop_err( "Problem determining columns, perhaps your query does not contain a column of numerical data." ) | |
| 25 | |
| 26 matrix = [] | |
| 27 skipped_lines = 0 | |
| 28 first_invalid_line = 0 | |
| 29 invalid_value = '' | |
| 30 invalid_column = 0 | |
| 31 | |
| 32 for i, line in enumerate( file( sys.argv[1] ) ): | |
| 33 valid = True | |
| 34 line = line.rstrip('\n\r') | |
| 35 | |
| 36 if line and not line.startswith( '#' ): | |
| 37 # Extract values and convert to floats | |
| 38 row = [] | |
| 39 for column in columns: | |
| 40 column -= 1 | |
| 41 fields = line.split( "\t" ) | |
| 42 if len( fields ) <= column: | |
| 43 valid = False | |
| 44 else: | |
| 45 val = fields[column] | |
| 46 if val.lower() == "na": | |
| 47 row.append( float( "nan" ) ) | |
| 48 else: | |
| 49 try: | |
| 50 row.append( float( fields[column] ) ) | |
| 51 except: | |
| 52 valid = False | |
| 53 skipped_lines += 1 | |
| 54 if not first_invalid_line: | |
| 55 first_invalid_line = i+1 | |
| 56 invalid_value = fields[column] | |
| 57 invalid_column = column+1 | |
| 58 else: | |
| 59 valid = False | |
| 60 skipped_lines += 1 | |
| 61 if not first_invalid_line: | |
| 62 first_invalid_line = i+1 | |
| 63 | |
| 64 if valid: | |
| 65 # matrix.append( row ) | |
| 66 matrix += row | |
| 67 | |
| 68 if skipped_lines < i: | |
| 69 try: | |
| 70 out = open( sys.argv[2], "w" ) | |
| 71 except: | |
| 72 stop_err( "Unable to open output file" ) | |
| 73 | |
| 74 # Run correlation | |
| 75 # print >> sys.stderr, "matrix: %s" % matrix | |
| 76 # print >> sys.stderr, "array: %s" % array( matrix ) | |
| 77 try: | |
| 78 # value = r.cor( array( matrix ), use="pairwise.complete.obs", method=method ) | |
| 79 fv = robjects.FloatVector(matrix) | |
| 80 m = r['matrix'](fv, ncol=len(columns),byrow=True) | |
| 81 rslt_mat = r.cor(m, use="pairwise.complete.obs", method=method ) | |
| 82 value = [] | |
| 83 for ri in range(1, rslt_mat.nrow + 1): | |
| 84 row = [] | |
| 85 for ci in range(1, rslt_mat.ncol + 1): | |
| 86 row.append(rslt_mat.rx(ri,ci)[0]) | |
| 87 value.append(row) | |
| 88 except Exception, exc: | |
| 89 out.close() | |
| 90 stop_err("%s" %str( exc )) | |
| 91 for row in value: | |
| 92 print >> out, "\t".join( map( str, row ) ) | |
| 93 out.close() | |
| 94 | |
| 95 if skipped_lines > 0: | |
| 96 msg = "..Skipped %d lines starting with line #%d. " %( skipped_lines, first_invalid_line ) | |
| 97 if invalid_value and invalid_column > 0: | |
| 98 msg += "Value '%s' in column %d is not numeric." % ( invalid_value, invalid_column ) | |
| 99 print msg | |
| 100 | |
| 101 if __name__ == "__main__": | |
| 102 main() |
