def saccEndPoints(dm):
"""
Analyzes and plots the saccade endpoints.
Arguments:
dm -- DataMatrix
"""
i = 1
newFig()
l = [["Condition", "Luminance", "SaccDir", "End X (M)", "End X (SD)"]]
for cond in ("constant", "swap", "onset"):
for saccCol in ("white", "black"):
_dm = dm.select('cond == "%s"' % cond).select('saccCol == "%s"' % saccCol)
a = (_dm.select('saccSide == "left"')["saccEndX"] - 512) / pxPerDeg
l.append([cond, saccCol, "left", a.mean(), a.std()])
a = (_dm.select('saccSide == "right"')["saccEndX"] - 512) / pxPerDeg
l.append([cond, saccCol, "right", a.mean(), a.std()])
plt.subplot(3, 2, i)
plt.xlim(0, 1024)
plt.ylim(0, 768)
plt.title("%s - %s" % (cond, saccCol))
plt.axvline(1024 / 2, linestyle=":", color="black")
plt.axvline(1024 / 6, linestyle=":", color="black")
plt.axvline(1024 - 1024 / 6, linestyle=":", color="black")
plt.axhline(768 / 2, linestyle=":", color="black")
plt.plot(_dm["saccEndX"], _dm["saccEndY"], ",", color=darkColor)
if cond != "onset":
plt.xticks([])
else:
plt.xticks([0, 512, 1024])
if saccCol != "white":
plt.yticks([])
else:
plt.yticks([0, 384, 768])
i += 1
dm = DataMatrix(l)
dm.sort(["SaccDir"])
dm.save("output/%s/saccEndPoints.csv" % exp)
print dm
saveFig("endPoints", show=True)
def descriptives(dm):
l = [['pp', 'rt', 'resp', 'nchar', 'nfunc', 'chardur', 'funcdur']]
for i in dm.range():
sn, full_resp, rt = dm['subject_nr'][i], dm['full_response'][i], \
dm['free_writing_time'][i]
resp = dm['free_writing_result'][i].replace('Space', ' ')
rt = rt / 1000. - (len(full_resp)+1)*1.185
nchar = len(full_resp) + 1
charDur = rt / (len(full_resp)+1)
funcDur = rt / len(resp)
nresp = len(resp)
print(full_resp)
print('%2d\t%s\t%.2f\t%d\t%d\t%.2f\t%.2f' % (sn, resp, rt, nchar, len(resp),
charDur, funcDur))
l.append([sn, rt, resp, nchar, len(resp), charDur, funcDur])
dm = DataMatrix(l)
dm.sort('pp')
print(dm)
dm.save('output/sentences.csv')
