def cSpace(d, ce, ue, cmode='istac', clevel=3):
ceisgrp = type(ce) in [tuple, list]
ueisgrp = type(ue) in [tuple, list]
comp = DRMODES[cmode]
nc = _keys(d, 'c')
cd = gd.Doc()
if ceisgrp:
cea = eqrc([d[n]['_'] for n in ce])
else:
cea = d[ce]['_']
if ueisgrp:
uea = eqrc([d[n]['_'] for n in ue])
else:
uea = d[ue]['_']
iss = comp(cea, uea, clevel)
n = len(nc)
cn = "c%i" % n
cd[cn + '._'] = iss.transpose()
if ceisgrp:
cd[cn + '.primary'] = "union%s" % (str(tuple(ce)),)
else:
cd[cn + '.primary'] = ce
cd[cn + '.method'] = cmode
cd[cn + '.order'] = clevel
if ueisgrp:
cd[cn + '.reference'] = "union%s" % (str(tuple(ue)),)
else:
cd[cn + '.reference'] = ue
return cd
def cSpaceSet(d, cmode='istac', clevel=3):
#FIXME: assumes particular structure for D. Should be a transform.
uc1 = ucse(d['s1'], 10000, LENGTH)
uc2 = ucse(d['s2'], 10000, LENGTH)
rc1 = ece(d['s1'], d['evts1'], LENGTH, LEAD)
rc2 = ece(d['s2'], d['evts2'], LENGTH, LEAD)
istacs = {}
istacs['uc'] = comp(uc2, uc1, clevel)
istacs['rc'] = comp(rc2, rc1, clevel)
istacs['c1'] = comp(rc1, uc1, clevel)
istacs['c2'] = comp(rc2, uc2, clevel)
istacs['j'] = comp(eqrc((rc1, rc2)), np.column_stack([uc1, uc2]), clevel)
return istacs
def comp2s(stim1, evts1, stim2, evts2, length=LENGTH, lead=LEAD, compress='no', clevel=0, testprop=TESTPROP,
bootstrap=BOOTSTRAP, report=None):
'''
Like compare, but considers the case where there are two stimuli in
addition to two response sets
'''
rc1 = ece(stim1, evts1, length, lead)
rc2 = ece(stim2, evts2, length, lead)
if compress in DRMODES:
uc = np.column_stack([ucse(stim1, 10000, length),
ucse(stim2, 10000, length)])
ce = eqrc((rc1, rc2))
cspace = DRMODES[compress](ce, uc, clevel)
if report:
report('Using %i components' % cspace.shape[0])
rc1 = np.dot(cspace, rc1)
rc2 = np.dot(cspace, rc2)
return lltest(rc1, rc2, testprop, bootstrap)
def bigFig(m1, m2, compress='istac', clevel=.85):
stim = gwn.getstim('bl')
uc = ucse(stim)
rcse = evalSystem(m1, True, cid=0)
rcse2 = evalSystem(m2, True, cid=1)
rc = eqrc((rcse, rcse2))
iss = DRMODES[compress](rc, uc, clevel)
report('Using %i components' % iss.shape[0])
plt.figure(3)
plt.clf()
ll = lltest(rcse, rcse2)
_prow(rcse, rcse2, 0, 3, True, ll)
rc1 = np.dot(iss, rcse)
rc2 = np.dot(iss, rcse2)
ll = lltest(rc1, rc2)
_prow(rc1, rc2, 1, 3, True, ll)
rcb1 = np.dot(iss.transpose(), rc1)
rcb2 = np.dot(iss.transpose(), rc2)
#ll = lltest(rcb1, rcb2)
_prow(rcb1, rcb2, 2, 3, True, ll)
f = plt.figure(3)
f.subplots_adjust(left=.04, right=.99, bottom=.05, top=.99, wspace=.05, hspace=.05)
f.canvas.draw()
