def test_clusters():
"test plot.uts cluster plotting functions"
ds = datasets.get_uts()
A = ds['A']
B = ds['B']
Y = ds['uts']
# fixed effects model
res = testnd.anova(Y, A * B)
p = plot.UTSClusters(res, title="Fixed Effects Model", show=False)
p.close()
# random effects model:
subject = Factor(range(15), tile=4, random=True, name='subject')
res = testnd.anova(Y, A * B * subject, samples=2)
p = plot.UTSClusters(res, title="Random Effects Model", show=False)
p.close()
# plot UTSStat
p = plot.UTSStat(Y, A % B, match=subject, show=False)
p.set_clusters(res.clusters)
p.close()
p = plot.UTSStat(Y, A, Xax=B, match=subject, show=False)
p.close()
def test_stat():
"test plot.UTSStat plotting function"
plot.configure_backend(False, False)
ds = datasets.get_rand()
p = plot.UTSStat('uts', ds=ds)
p.close()
p = plot.UTSStat('uts', 'A%B', ds=ds)
p.close()
p = plot.UTSStat('uts', 'A', Xax='B', ds=ds)
p.close()
p = plot.UTSStat('uts', 'A%B', 'rm', sub="rm.isin(('R00', 'R01'))", ds=ds)
p.close()
# clusters
sds = ds.sub("B == 'b0'")
res = testnd.ttest_rel('uts',
'A',
'a1',
'a0',
match='rm',
ds=sds,
samples=0,
pmin=0.05,
mintime=0.02)
p = plot.UTSStat('uts', 'A', clusters=res.clusters, ds=ds)
p.close()
res = testnd.ttest_rel('uts',
'A',
'a1',
'a0',
match='rm',
ds=sds,
samples=100,
pmin=0.05,
mintime=0.02)
p = plot.UTSStat('uts', 'A', clusters=res.clusters, ds=ds)
p.close()
def test_uts_stat():
"test plot.UTSStat plotting function"
ds = datasets.get_uts()
p = plot.UTSStat('uts', ds=ds, show=False)
p.close()
p = plot.UTSStat('uts', 'A%B', ds=ds, show=False)
p.plot_legend('lower right')
p.plot_legend(False)
pl = p.plot_legend('fig')
p.plot_legend('center')
pl.close()
p.close()
p = plot.UTSStat('uts', 'A', Xax='B', ds=ds, show=False)
p.close()
p = plot.UTSStat('uts',
'A%B',
'rm',
sub="rm.isin(('R00', 'R01'))",
ds=ds,
show=False)
p.close()
p = plot.UTSStat('uts',
'A%B',
'rm',
sub="rm.isin(('R00', 'R01'))",
ds=ds,
pool_error=False,
show=False)
p.close()
# error
p = plot.UTSStat('uts', 'A', match='rm', ds=ds, error=False, show=False)
p.close()
p = plot.UTSStat('uts', 'A', match='rm', ds=ds, error='all', show=False)
p.close()
# clusters
sds = ds.sub("B == 'b0'")
res = testnd.ttest_rel('uts',
'A',
'a1',
'a0',
match='rm',
ds=sds,
samples=0,
pmin=0.05,
mintime=0.02)
p = plot.UTSStat('uts', 'A', ds=ds, show=False)
p.set_clusters(res.clusters)
p.close()
p = plot.UTSStat('uts', 'A', ds=ds, clusters=res.clusters, show=False)
p.close()
res = testnd.ttest_rel('uts',
'A',
'a1',
'a0',
match='rm',
ds=sds,
samples=100,
pmin=0.05,
mintime=0.02)
p = plot.UTSStat('uts', 'A', ds=ds, clusters=res.clusters, show=False)
p.close()
p = plot.UTSStat('uts', 'A', 'B', ds=ds, clusters=res.clusters, show=False)
p.set_clusters(None)
p.set_clusters(res.clusters, ax=0)
p.close()
p = plot.UTSStat('uts', 'A', 'B', ds=ds, show=False)
p.set_clusters(res.clusters)
p.set_clusters(None, ax=1)
p.close()
def test_eelfigure():
ds = datasets.get_uts()
p = plot.UTSStat('uts', 'A', ds=ds, h=2, w=50, show=False)
eq_(tuple(p.figure.get_size_inches()), (50, 2))
def test_eelfigure():
ds = datasets.get_uts()
p = plot.UTSStat('uts', 'A', ds=ds, h=2, w=50)
assert tuple(p.figure.get_size_inches()) == (50, 2)