def MakePosteriorPlot(suite):
"""Plots the posterior marginal distributions for alpha and beta.
suite: posterior joint distribution of location
"""
marginal_alpha = suite.Marginal(0)
marginal_alpha.name = 'alpha'
marginal_beta = suite.Marginal(1)
marginal_beta.name = 'beta'
print('alpha CI', marginal_alpha.CredibleInterval(50))
print('beta CI', marginal_beta.CredibleInterval(50))
thinkplot.PrePlot(num=2)
#thinkplot.Pmf(marginal_alpha)
#thinkplot.Pmf(marginal_beta)
thinkplot.Cdf(thinkbayes2.MakeCdfFromPmf(marginal_alpha))
thinkplot.Cdf(thinkbayes2.MakeCdfFromPmf(marginal_beta))
thinkplot.Save('paintball2',
xlabel='Distance',
ylabel='Prob',
loc=4,
formats=FORMATS)
def addTeam(self, team, this_team, rest_of_league):
this_x_cdf = tb.MakeCdfFromPmf(tb.MakePmfFromList(this_team.X_unadj))
this_y_cdf = tb.MakeCdfFromPmf(tb.MakePmfFromList(this_team.Y_unadj))
other_x_cdf = tb.MakeCdfFromPmf(
tb.MakePmfFromList(rest_of_league.X_unadj))
other_y_cdf = tb.MakeCdfFromPmf(
tb.MakePmfFromList(rest_of_league.Y_unadj))
self.addCDFs(team, this_x_cdf, this_y_cdf, other_x_cdf, other_y_cdf)
def PlotCoefVariation(suites):
"""Plot the posterior distributions for CV.
suites: map from label to Pmf of CVs.
"""
thinkplot.Clf()
thinkplot.PrePlot(num=2)
pmfs = {}
for label, suite in suites.items():
pmf = CoefVariation(suite)
print('CV posterior mean', pmf.Mean())
cdf = thinkbayes2.MakeCdfFromPmf(pmf, label)
thinkplot.Cdf(cdf)
pmfs[label] = pmf
thinkplot.Save(root='variability_cv',
xlabel='Coefficient of variation',
ylabel='Probability')
print('female bigger',
thinkbayes2.PmfProbGreater(pmfs['female'], pmfs['male']))
print('male bigger',
thinkbayes2.PmfProbGreater(pmfs['male'], pmfs['female']))
def PlotMarginals(suite):
"""Plots marginal distributions from a joint distribution.
suite: joint distribution of mu and sigma.
"""
thinkplot.Clf()
pyplot.subplot(1, 2, 1)
pmf_m = suite.Marginal(0)
cdf_m = thinkbayes2.MakeCdfFromPmf(pmf_m)
thinkplot.Cdf(cdf_m)
pyplot.subplot(1, 2, 2)
pmf_s = suite.Marginal(1)
cdf_s = thinkbayes2.MakeCdfFromPmf(pmf_s)
thinkplot.Cdf(cdf_s)
thinkplot.Show()
