"--inpath",
dest="inpath",
metavar="PATH",
help="relative input PATH (default: pwd)")
######################## MAIN PART ###########################
if __name__ == '__main__':
# read in command line options
(options, args) = parser.parse_args()
# optional arguments
inpath = path
if options.inpath:
inpath = path + options.inpath
ana_func.checkPath(inpath)
outpath = inpath
summary = {}
# loop over dataset sources
for dataset in list(conf.set_data.keys()):
print(dataset)
# input directory
inpath = outpath + '/' + dataset
# loop over targets
for target in conf.set_data[dataset]['ids']:
print(target)
# load results
# prepare command-line option parser
usage = "usage: %prog [options] arg"
parser = OptionParser(usage)
parser.add_option("-i", "--inpath", dest="inpath", metavar="PATH", help="relative input PATH (default: pwd)")
######################## MAIN PART ###########################
if __name__=='__main__':
# read in command line options
(options, args) = parser.parse_args()
# optional arguments
inpath = path
if options.inpath:
inpath = path+options.inpath
ana_func.checkPath(inpath)
outpath = inpath
summary = {}
# loop over dataset sources
for dataset in conf.set_data.keys():
print dataset
# input path
inpath = outpath+'/'+dataset
# loop over targets
for target in conf.set_data[dataset]['ids']:
print target
# load results
# read in command line options
(options, args) = parser.parse_args()
# required arguments
if options.filename:
methods_file = path+options.filename
else:
raise RuntimeError('one or more of the required options was not given!')
methods = ana_func.readMethods(methods_file)
# optional arguments
inpath = path+'stat_analysis/'
if options.inpath:
inpath = path+options.inpath+'/stat_analysis/'
ana_func.checkPath(inpath)
outpath = inpath
# output file(s)
outfile = open(outpath+'correlation_tables.dat', 'w')
texfile = open(outpath+'correlation_tables_latex.dat', 'w') # as latex tabulars
# loop over methods
for m in methods:
print(m)
# run R script
R_input = inpath+'fp_ranking_'+m+'.csv'
ana_func.checkPath(R_input)
R_output1 = outpath+'friedman_fp_ranking_'+m+'.csv'
R_output2 = outpath+'friedman_resampled_p_values_'+m+'.csv'
# read in command line options
(options, args) = parser.parse_args()
# required arguments
if options.filename:
methods_file = path+options.filename
else:
raise RuntimeError('one or more of the required options was not given!')
methods = ana_func.readMethods(methods_file)
# optional arguments
inpath = path+'stat_analysis/'
if options.inpath:
inpath = path+options.inpath+'/stat_analysis/'
ana_func.checkPath(inpath)
outpath = inpath
# output file(s)
outfile = open(outpath+'correlation_tables.dat', 'w')
texfile = open(outpath+'correlation_tables_latex.dat', 'w') # as latex tabulars
# loop over methods
for m in methods:
print m
# run R script
R_input = inpath+'fp_ranking_'+m+'.csv'
ana_func.checkPath(R_input)
R_output1 = outpath+'friedman_fp_ranking_'+m+'.csv'
R_output2 = outpath+'friedman_resampled_p_values_'+m+'.csv'