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80 lines
1.5 KiB
Python
80 lines
1.5 KiB
Python
"""
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===================================================================
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Statistical functions for masked arrays (:mod:`scipy.stats.mstats`)
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===================================================================
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.. currentmodule:: scipy.stats.mstats
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This module contains a large number of statistical functions that can
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be used with masked arrays.
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Most of these functions are similar to those in scipy.stats but might
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have small differences in the API or in the algorithm used. Since this
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is a relatively new package, some API changes are still possible.
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.. autosummary::
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:toctree: generated/
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argstoarray
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betai
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chisquare
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count_tied_groups
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describe
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f_oneway
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f_value_wilks_lambda
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find_repeats
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friedmanchisquare
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kendalltau
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kendalltau_seasonal
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kruskalwallis
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ks_twosamp
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kurtosis
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kurtosistest
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linregress
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mannwhitneyu
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plotting_positions
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mode
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moment
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mquantiles
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msign
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normaltest
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obrientransform
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pearsonr
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plotting_positions
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pointbiserialr
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rankdata
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scoreatpercentile
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sem
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signaltonoise
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skew
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skewtest
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spearmanr
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theilslopes
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threshold
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tmax
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tmean
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tmin
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trim
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trima
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trimboth
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trimmed_stde
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trimr
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trimtail
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tsem
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ttest_onesamp
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ttest_ind
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ttest_onesamp
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ttest_rel
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tvar
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variation
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winsorize
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zmap
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zscore
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"""
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from __future__ import division, print_function, absolute_import
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from .mstats_basic import *
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from .mstats_extras import *
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from scipy.stats import gmean, hmean
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