def impute_data(self):
''' compute what we can for each study from what has been given in the table'''
# note that we rely on the variable names corresponding to what
# the meta_py_r routine expects.
var_names = self.get_column_header_strs()
for row_index, group_name in enumerate(self.cur_groups):
# assemble the fields in a dictionary; pass off to meta_py_r
cur_dict = {}
for var_index, var_name in enumerate(var_names):
var_value = self._get_float(row_index, var_index)
if var_value is not None:
cur_dict[var_name] = var_value
# now pass off what we have for this study to the
# imputation routine
alpha = self.conf_level_to_alpha()
results_from_r = meta_py_r.impute_cont_data(cur_dict, alpha)
print "Raw results from R (imputation): %s" % results_from_r
print results_from_r
print "Results from r succeeded?:", results_from_r["succeeded"]
if results_from_r["succeeded"]:
computed_vals = results_from_r["output"]
# and then iterate over the columns again,
# populating the table with any available
# computed fields
print "Computed vals:",computed_vals
for var_index, var_name in enumerate(var_names):
self._set_val(row_index, var_index, computed_vals[var_name])
self._copy_raw_data_from_table_to_ma_unit()
else:
print("Why didn't it succeed?: '%s'" % results_from_r["comment"])
def _impute_data(self):
""" compute what we can for each study from what has been given """
# note that we rely on the variable names corresponding to what
# the meta_py_r routine expects.
var_names = self.get_column_header_strs()
for row_index, group_name in enumerate(self.cur_groups):
# assemble the fields in a dictionary; pass off to meta_py_r
cur_dict = {}
for var_index, var_name in enumerate(var_names):
var_value = self._get_float(row_index, var_index)
if var_value is not None:
cur_dict[var_name] = var_value
# now pass off what we have for this study to the
# imputation routine
computed_vals = meta_py_r.impute_cont_data(cur_dict)
def impute_data(self):
''' compute what we can for each study from what has been given in the table'''
# note that we rely on the variable names corresponding to what
# the meta_py_r routine expects.
var_names = self.get_column_header_strs()
for row_index, group_name in enumerate(self.cur_groups):
# assemble the fields in a dictionary; pass off to meta_py_r
cur_dict = {}
for var_index, var_name in enumerate(var_names):
var_value = self._get_float(row_index, var_index)
if var_value is not None:
cur_dict[var_name] = var_value
# now pass off what we have for this study to the
# imputation routine
alpha = self.conf_level_to_alpha()
results_from_r = meta_py_r.impute_cont_data(cur_dict, alpha)
print "Raw results from R (imputation): %s" % results_from_r
print results_from_r
print "Results from r succeeded?:", results_from_r["succeeded"]
if results_from_r["succeeded"]:
computed_vals = results_from_r["output"]
# and then iterate over the columns again,
# populating the table with any available
# computed fields
print "Computed vals:", computed_vals
for var_index, var_name in enumerate(var_names):
self._set_val(row_index, var_index,
computed_vals[var_name])
self._copy_raw_data_from_table_to_ma_unit()
else:
try:
print("Why didn't it succeed?: '%s'" %
results_from_r["comment"])
except KeyError:
pass
