Commit 7cd15c8c authored by panos's avatar panos Committed by Jérome Perrin

New example added to demonstrate the use of the ConfidenceIntercals objext

parent 3612ba1b
'''
Created on 13 Jun 2014
@author: Panos
'''
#===========================================================================
# Copyright 2013 University of Limerick
#
# This file is part of DREAM.
#
# DREAM is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# DREAM is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with DREAM. If not, see <http://www.gnu.org/licenses/>.
# ===========================================================================
from ImportCSVdata import Import_CSV
from ConfidenceIntervals import Intervals
filename = ("DataSet.csv")
data=Import_CSV() #call the Import_CSV module and using its method Input_data import the data set from the CSV file to the tool
Data = data.Input_data(filename)
ProcTime = Data.get('ProcessingTimes',[]) #get from the returned Python dictionary the three data sets
MTTF = Data.get('MTTF',[])
MTTR = Data.get('MTTR',[])
CI=Intervals() #create a Intervals object
#print the confidence intervals of the data sets applying either 90% or 95% probability
print CI.ConfidIntervals(ProcTime, 0.95)
print CI.ConfidIntervals(MTTF, 0.90)
print CI.ConfidIntervals(MTTR, 0.95)
\ No newline at end of file
ProcessingTimes,MTTF,MTTR
0.244348299,0.821417417,0.673141665
0.356772955,0.557264448,0.944193512
0.845419754,0.393255702,0.270017308
0.273231138,0.631987756,0.120011257
0.200046377,0.51631315,0.857021184
0.640128181,0.643033348,0.881389765
0.578735622,0.716773075,0.314106089
0.996385373,0.457847744,0.770978692
0.92722687,0.893791782,0.861785565
0.672702473,0.63019863,0.607014913
0.323240807,0.851207249,0.722162596
0.694269656,0.322774484,0.240750485
0.873223515,0.940929275,0.843516877
0.196289047,0.297817863,0.590291493
0.969731768,0.434041093,0.792679063
0.788809391,0.253841521,0.093194379
0.92058734,0.549898254,0.855697522
0.065780998,0.176827725,0.162613094
0.624755732,0.834824833,0.016795064
0.492693905,0.264748324,0.090957798
0.861827429,0.250311982,0.6496143
0.846934493,0.888114338,0.68499297
0.73524109,0.30377131,0.327762839
0.244015705,0.884171671,0.571923527
0.29260347,0.141533832,0.292892309
0.944574806,0.14442337,0.747256417
0.293183651,0.836559342,0.751553338
0.024415113,0.063740086,0.423910368
0.688527632,0.310661676,0.924224229
0.924272804,0.350761349,0.783824064
0.51155886,0.388905519,0.604406331
0.895576824,0.477540233,0.95734478
0.231353006,0.470609629,0.530935904
0.971559887,0.725885333,0.302987433
0.061372303,0.898496525,0.780488618
0.22738673,0.578615066,0.97574445
0.403014029,0.879109722,0.112487013
0.248396939,0.704838901,0.761908866
0.071824714,0.198061447,0.025785103
0.389326797,0.999732845,0.225423476
0.643803956,0.328977973,0.302487722
0.85225217,0.524051594,0.246369698
0.075357436,0.981919454,0.658538275
0.240823459,0.068576738,0.000701793
0.988418367,0.266281903,0.403786022
0.371428517,0.965371301,0.865176415
0.569949118,0.418132208,0.798035233
0.800870444,0.593208345,0.159754963
0.018308733,0.62561658,0.963641938
0.284832919,0.70279377,0.393928877
0.348884795,0.989127196,0.376676983
0.339045155,0.158021077,0.921501518
0.935784889,0.908901752,0.075931735
0.529725974,0.116111498,0.701198489
0.018638641,0.764226529,0.192218789
0.053014846,0.98378422,0.222391481
0.860853572,0.935160391,0.812615337
0.429075865,0.203585105,0.799141236
0.179437117,0.75895991,0.77216644
0.369073457,0.19765367,0.832066455
0.797089597,0.700829612,0.808611683
0.93862975,0.928737195,0.483896626
0.859144465,0.63764556,0.375831455
0.391575118,0.664991281,0.932467818
0.690302219,0.543577948,0.219571044
0.364004149,0.951116883,0.605002311
0.879621159,0.180563528,0.506357331
0.786377464,0.549207737,0.681883705
0.406260939,0.49102904,0.844085805
0.161720183,0.868973053,0.768035649
0.954476376,0.194981883,0.033715634
0.636651874,0.945756938,0.946266775
0.187969315,0.234813896,0.861189759
0.273153275,0.919853836,0.829086849
0.426627811,0.061183363,0.406850358
0.423205261,0.792740625,0.775762635
0.774013305,0.269985243,0.228500842
0.153571759,0.490667589,0.475202433
0.698877901,0.493995964,0.77022049
0.360469393,0.575125682,0.98747614
0.240174531,0.071083525,0.116741911
0.922059632,0.471389823,0.070771427
0.255662318,0.909090032,0.282770784
0.950852233,0.476929259,0.476337626
0.795378313,0.104664087,0.128293655
0.926824965,0.604674164,0.499953525
0.071941875,0.187541528,0.106471519
0.459289568,0.500669778,0.875508558
0.227208062,0.764540737,0.858606031
0.518629118,0.56787545,0.113948966
0.527557139,0.121515253,0.113737628
0.364719892,0.9221987,0.536809359
0.889815361,0.208815311,0.233965719
0.404150321,0.597380531,0.193431314
0.24144174,0.025685419,0.991015873
0.568590903,0.207059302,0.377139721
0.802065023,0.272644933,0.212301908
0.893104083,0.624014562,0.405912991
0.295972361,0.865639787,0.418402166
0.424512268,0.231007371,0.948515831
0.690958747,0.566966247,0.716447645
0.721777494,0.927995277,0.392195707
0.8079432,0.937950489,0.405759321
0.439583856,0.455564626,0.84354921
0.666079804,0.294614555,0.437734072
0.037288067,0.821366061,0.941714723
0.592943636,0.513266529,0.178979915
0.193327164,0.708463151,0.067355554
0.674445392,0.56872425,0.573794279
0.488603447,0.895231179,0.310904869
0.454109336,0.373303621,0.567405481
0.197664194,0.619254014,0.515036835
0.104548589,0.675310307,0.347678911
0.218128674,0.555857231,0.31435142
0.793893431,0.201764647,0.093716837
0.537664757,0.433296036,0.088702349
0.374679933,0.249686753,0.133766937
0.732658895,0.024589389,0.235549755
0.071772901,0.935249087,0.548796846
0.64164859,0.149733938,0.045514473
0.024284404,0.493520142,0.549042691
0.510253618,0.926161183,0.049054121
0.042028514,0.505287464,0.661617575
0.95505841,0.567147645,0.78227471
0.848598119,0.585444228,0.290214317
0.699583895,0.90300218,0.795151474
0.568499385,0.386982622,0.256399096
0.490769172,0.087588681,0.81658994
0.482577999,0.576309464,0.952940586
0.686645315,0.428967708,0.011081965
0.165524499,0.040911514,0.754658597
0.927679286,0.152260406,0.8295449
0.687792303,0.521165616,0.417882179
0.791950763,0.818953165,0.553298893
0.550182683,0.300349901,0.944000121
0.256062862,0.305519697,0.47603591
0.887511744,0.366859143,0.192894404
0.099122024,0.301233167,0.582898193
0.280396384,0.094206117,0.132463693
0.67030415,0.546268735,0.088700823
0.166866499,0.842950184,0.509831744
0.149331952,0.218193719,0.322613067
0.910635325,0.79565795,0.89830561
0.268955819,0.945646112,0.151525168
0.373592127,0.860167356,0.750079258
0.653720168,0.293492107,0.599568966
0.691996992,0.841033603,0.975754904
0.287847093,0.461756963,0.262967161
0.655448355,0.606556434,0.838654418
0.649464334,0.020972618,0.135015578
0.503647654,0.268976814,0.530128707
0.566005686,0.640768029,0.886535734
0.738116685,0.183818367,0.587210651
0.160473032,0.001622406,0.453606715
0.282552428,0.233148145,0.625187335
0.110301485,0.23547056,0.126868053
0.074487485,0.643239154,0.780647796
0.79492528,0.177456764,0.00060218
0.137866268,0.832754829,0.127897679
0.317220876,0.136251238,0.809475538
0.188350365,0.575495566,0.605847912
0.217836256,0.805115712,0.94039292
0.593039565,0.941220747,0.708428372
0.208228324,0.675031864,0.718051527
0.551260339,0.286572528,0.426251068
0.973300296,0.011024266,0.563914284
0.238797144,0.758223579,0.346314681
0.224940061,0.277494067,0.488101907
0.089135344,0.509400985,0.757525604
0.304595406,0.79518473,0.457663931
0.196357543,0.574749289,0.305249008
0.985781439,0.592821167,0.566340217
0.130239445,0.738836416,0.013625557
0.055514239,0.440898793,0.824576166
0.681017546,0.296926268,0.593780935
0.635399944,0.887966117,0.412803488
0.618652288,0.872311802,0.286134837
0.429118891,0.565775299,0.783614302
0.50308209,0.455219723,0.331922772
0.431030624,0.329797666,0.312731017
0.886682766,0.75183698,0.372195741
0.179936193,0.794112343,0.00365948
0.628323458,0.793547184,0.073175757
0.726750322,0.859053089,0.771654538
0.703058776,0.514983136,0.902971863
0.788769046,0.912004656,0.795405208
0.024027163,0.203514786,0.001520403
0.444936202,0.946944261,0.813458468
0.402956154,0.565476521,0.644954605
0.18622766,0.54423197,0.857634477
0.547632846,0.453332006,0.489148198
0.855596544,0.63397023,0.563672481
0.439846821,0.560331278,0.80735438
0.305282059,0.227521641,0.644909421
0.644195812,0.342068331,0.568188225
0.673726327,0.604746364,0.592245062
0.114358662,0.573154649,0.910594649
0.322435817,0.051156412,0.004964108
0.377033068,0.466744209,0.820454243
0.630022301,0.361779691,0.158873646
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