bootstrap_demo.py File Reference

Go to the source code of this file.

Namespaces
	bootstrap_demo

Functions
def	bootstrap_demo.bootstrap_test ()
def	bootstrap_demo.main ()

Variables
	bootstrap_demo.clustsN = np.multiply(NOMINAL_GROUP_SIZE,np.ones(NOMINAL_NUMBER_OF_GROUPS,dtype=int))
	alternative way to initialize cluster sizes clustsStart.append(0) nremain = N_SUPER_SAMPLE while nremain > 0: clustN = int(max([np.around(NOMINAL_GROUP_SIZE + np.random.randn(1)*SIGMAN), 1.0])) if np.sum(clustsN) + clustN > N_SUPER_SAMPLE - NOMINAL_GROUP_SIZE/4: clustN = N_SUPER_SAMPLE - np.sum(clustsN) clustsN.append( clustN ) nremain = nremain - clustN ntotal = np.sum(clustsN) clustsEnd.append(ntotal) clustsStart.append(clustsEnd[-1]) More...
	bootstrap_demo.delta = NOMINAL_GROUP_SIZE - \
list	bootstrap_demo.X1ClustsValues = []
dictionary	bootstrap_demo.X1ClustsStats = {}
	bootstrap_demo.clustStats = su.calcStats(X1ClustsValues[ic])
	bootstrap_demo.X1ClustsStatsDF = pd.DataFrame.from_dict(X1ClustsStats)
	bootstrap_demo.aggClustStats = su.aggStatsDF(X1ClustsStatsDF)
list	bootstrap_demo.X2ClustsValues = []
dictionary	bootstrap_demo.X2ClustsStats = {}
	bootstrap_demo.X2ClustsStatsDF = pd.DataFrame.from_dict(X2ClustsStats)
	bootstrap_demo.statsCIClustSamples
	bootstrap_demo.xVals = nBootSamples
	bootstrap_demo.ny = nFuncs
int	bootstrap_demo.nx = 2
	bootstrap_demo.fig = pu.setup_fig(nx, ny, inch_width=2.2)
	bootstrap_demo.bootFunc = bootFuncs[ifunc]
string	bootstrap_demo.sampleAggStat = "Mean"
	bootstrap_demo.ax1 = fig.add_subplot(ny, nx, nx*ifunc+1)
list	bootstrap_demo.plotVals = []
	bootstrap_demo.lineVals = deepcopy(statsCIFullSamples[ifunc]['VALUE'])
	bootstrap_demo.lineValsMin = deepcopy(statsCIFullSamples[ifunc]['LO'])
	bootstrap_demo.lineValsMax = deepcopy(statsCIFullSamples[ifunc]['HI'])
	bootstrap_demo.label
	bootstrap_demo.color
	bootstrap_demo.ls
	bootstrap_demo.linewidth
	bootstrap_demo.alpha
	bootstrap_demo.c
	bootstrap_demo.markersize
	bootstrap_demo.lh
	bootstrap_demo.fontsize
	bootstrap_demo.labelsize
	bootstrap_demo.minyval
	bootstrap_demo.maxyval
	bootstrap_demo.symmetric
	bootstrap_demo.ax2 = fig.add_subplot(ny, nx, nx*ifunc+2)
	bootstrap_demo.bins
string	bootstrap_demo.filename = 'cluster_bootstrap_test/comparison' \