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11.8.3. astroML.correlation.bootstrap_two_point

astroML.correlation.bootstrap_two_point(data, bins, Nbootstrap=10, method='standard', return_bootstraps=False, random_state=None)[source]

Bootstrapped two-point correlation function

Parameters :

data : array_like

input data, shape = [n_samples, n_features]

bins : array_like

bins within which to compute the 2-point correlation. shape = Nbins + 1

Nbootstrap : integer

number of bootstrap resamples to perform (default = 10)

method : string

“standard” or “landy-szalay”.

return_bootstraps: bool :

if True, return full bootstrapped samples

random_state : integer, np.random.RandomState, or None

specify the random state to use for generating background

Returns :

corr, corr_err : ndarrays

the estimate of the correlation function and the bootstrap error within each bin. shape = Nbins