2 # NEPI, a framework to manage network experiments
3 # Copyright (C) 2013 INRIA
5 # This program is free software: you can redistribute it and/or modify
6 # it under the terms of the GNU General Public License version 2 as
7 # published by the Free Software Foundation;
9 # This program is distributed in the hope that it will be useful,
10 # but WITHOUT ANY WARRANTY; without even the implied warranty of
11 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
12 # GNU General Public License for more details.
14 # You should have received a copy of the GNU General Public License
15 # along with this program. If not, see <http://www.gnu.org/licenses/>.
17 # Author: Alina Quereilhac <alina.quereilhac@inria.fr>
19 from __future__ import print_function
23 from scipy import stats
25 def compute_mean(sample):
26 # TODO: Discard outliers !!!!
29 print(" CANNOT COMPUTE STATS for ", sample)
32 x = numpy.array(sample)
34 # sample mean and standard deviation
35 n, min_max, mean, var, skew, kurt = stats.describe(x)
38 # for the population mean and std ...
42 # Calculate confidence interval t-distribution
43 ## BUG: Use quantil of NORMAL distribution, not t-student quantil distribution
44 ci = stats.t.interval(0.95, n-1, loc = mean, scale = std/math.sqrt(n))
46 return (mean, std, ci[0], ci[1])