def dmSim():
"""
"""
dm = CsvReader('./simulation/data.csv').dataMatrix()
# X coordinates, where positive values indicate a deviation towards the handle
dm = dm.addField('sacc1_ex', dtype=float)
dm = dm.addField('sacc2_ex', dtype=float)
dm = dm.addField('sacc3_ex', dtype=float)
dm = dm.addField('sacc1_ey', dtype=float)
dm = dm.addField('sacc2_ey', dtype=float)
dm = dm.addField('sacc3_ey', dtype=float)
dm = dm.addField("trialId", dtype = str)
# Timestamps for each fixation
dm = dm.addField('saccLat1', dtype=float)
dm = dm.addField('saccLat2', dtype=float)
dm = dm.addField('saccLat3', dtype=float)
for i in dm.range():
trial = dm[i]
trialNr = dm['count_trial_sequence'][i]
dm["trialId"][i] = trialNr
handleSide = trial['flip'][0]
print 'Trial %d (%s)' % (trialNr, handleSide)
sim = CsvReader('simulation/simulation/csv/%.4d.csv' % trialNr).dataMatrix()
fixNr = 1
for fix in sim:
t = fix['t'][0]
dx = fix['x'][0]
dy = fix['y'][0]
dm["sacc%s_ey" % fixNr][i] = dy
dm['sacc%d_ex' % fixNr][i] = dx
dm['saccLat%d' % fixNr][i] = t
fixNr += 1
if fixNr > 3:
break
dm.save('dm_simulation.csv')
dm = dm.addField("expId", dtype = str, default = "sim")
dm = dm.addField("symm", dtype = str, default = "asymm")
dm = dm.addField("saccCount", default = 3)
dm = dm.addField("mask_side", dtype = str, default = "control")
dm = dm.addField("cond", dtype = str, default = "not_practice")
dm = dm.addField("rep", dtype = str, default = "not_practice")
dm = dm.addField("checkFixDotFailed", dtype = str, default = "False")
dm = dm.addField("checkObjectFailed", dtype = str, default = "False")
dm = dm.addField("file", dtype = str, default = "sim")
return dm
# Give the landing positions the starting value '', such that
# the same criteria can be applied to the real and the simulated
# saccades. In the real dm's, the value '' indicates that a certain
# landing position was not detected (e.g. endX2 does not exist if
# participants made only one saccade). The same criterion should
# be applied for the simulated dm, because sometimes participants
# looked four times on the fix dot, and one time at the object, etc.
# These landing positions should not get the value 0!!
# This is done automatically by making the new variables (see above)
# strings. Every empty cell gets the value "".
# Walk through all cycles in the dm, and open the small simulation dm
# corresponding to the current trial:
for i in dm.range():
trial = dm[i]
trialNr = dm['count_trial_sequence'][i]
handleSide = trial['handle_side'][0]
pictName = trial['pict'][0]
boxWidth, boxHeight = boxDict[pictName]
stim = trial['object'][0]
# Add variables from simulation to dm:
print 'Trial %d (%s)' % (trialNr, handleSide)
# Open the small dm:
sim = CsvReader('simulation/simulation/csv/%.4d.csv' \
% trialNr).dataMatrix()
