pylal.PopStatement.PopStatement

Class PopStatement

object --+ | PopStatement

Instance Methods

[hide private]

__init__(self, grb_data, name_suffix)
Initializes the class with the GRB data

source code

add_data(self, grb_name, pop_injections_by_trial, pop_background_by_trial, pop_onsource)

source code

finalize(self)
Just sets some numbers

source code

calculate_sample_to_ifar(self, sample, sample_ref)
Calculates a list of FAR given the items in the sample

source code

calculate_ifar(self, value, sample)

source code

check_off_distribution(self, pop_min, pop_max, far=False)

source code

check_off_distribution_lik(self)

source code

check_off_distribution_far(self)

source code

set_stat(self, stat)
Choose your statistics, either lik or ifar

source code

select_onsource(self, type, reject_empty=False)
Selecting fake trials from the set of offsource trials for each GRB.

source code

remove_empty_trials(self, data)
Function to remove any infinite value from a given list of data.

source code

mannwhitney_u(self, x, y)
Return the Mann-Whitney U statistic on the provided scores.

source code

mannwhitney_u_zscore(self, pop_test, pop_ref)
Return the z-score of a given sample.

source code

compute_wmu(self)
Computes the WMU z-score for the both cases using likelihood and the IFAR

source code

float_to_latex(self, x, format="%g")
Convert a floating point number to a latex representation.

source code

create_plot_hist(self)

source code

create_plot_qq(self)

source code

create_cdf_plot(self)

source code

create_pdf_plot(self)
Create a pdf plot of the used data.

source code

create_hist_plot(self, n_bin, range=None)

source code

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __str__, __subclasshook__

Properties

[hide private]

Inherited from object: __class__

init(self, grb_data, name_suffix)
(Constructor)

source code

Initializes the class with the GRB data

Overrides: object.__init__

mannwhitney_u(self, x, y)

source code

Return the Mann-Whitney U statistic on the provided scores. Copied from scipy.stats.mannwhitneyu except that we only return the U such that large U means that population x was systematically larger than population y, rather than the smaller U between x and y. The two possible U values one can report are related by U' = n1*n2 - U.

mannwhitney_u_zscore(self, pop_test, pop_ref)

source code

Return the z-score of a given sample. Not appropriate for n1 + n2 < ~20.

float_to_latex(self, x, format="%g")

source code

Convert a floating point number to a latex representation. In particular, scientific notation is handled gracefully: e -> 10^

Class PopStatement

__init__(self, grb_data, name_suffix) (Constructor)

mannwhitney_u(self, x, y)

mannwhitney_u_zscore(self, pop_test, pop_ref)

float_to_latex(self, x, format="%g")

init(self, grb_data, name_suffix)
(Constructor)