def t2_test():
mc = 100
ts = np.zeros(mc)
for i in range(mc):
data = make_data(0,1)
ts[i] = t2_value(data)
histo(ts)
def hotelling_T2_test():
'''
This is not working!
There is no rhyme or reason in the p value -
'''
mc = 100
p = np.zeros(mc)
for i in range(mc):
data = make_data(0,1)
p[i] = hotelling_T2(data)
histo(p)
def analyze_lots_of_trials():
''''
plots a histogram of T2 values for many iterations
'''
sigma_known = 0.2
mu_known = 0
#faux data
mc = 100
ts = np.zeros(mc)
for i in range(mc):
data = make_data(mu_known, sigma_known)
ts[i] = return_T2_value(data)
from visualization import histo
histo(ts,'r', 'lots of trials')
def analyze_varying_sigma():
'''
plots a histogram of T2 values for many iterations of varying sigma
'''
mc = 100
sigma = np.linspace(eps, 1, mc)
mu_known = 0
ts = np.zeros(mc)
#change keep track of T2 over varying sigma
for i, s in zip(range(mc), sigma):
data = make_data(mu_known, s)
ts[i] = return_T2_value(data)
from visualization import histo
histo(ts,'r', 'varying sigma')
plt.plot(ts)
