FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationSun, 07 Jun 2009 09:23:52 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Jun/07/t1244388385xb16lqv90ipnaq3.htm/, Retrieved Sun, 12 May 2024 17:38:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42165, Retrieved Sun, 12 May 2024 17:38:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsthomas cammaert
Estimated Impact104

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [Opdracht 9 oefeni...] [2009-06-07 15:23:52] [61792449e3c1c0e0abc5b9baf921991f] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8,9722
8,8284
8,7446
8,7519
8,6337
8,7272
8,6330
8,5865
8,5968
8,5114
8,3884
8,2671
8,2410
8,3177
8,4070
8,3917
8,4145
8,5245
8,6289
8,6622
8,9055
8,9770
9,1264
9,1120
9,0576
9,2106
9,2637
9,3107
9,6744
9,5780
9,4166
9,4359
9,2275
9,1828
9,0594
9,1358
9,2208
9,1137
9,2689
9,2489
9,1679
9,1051
9,0818
9,0961
9,1733
9,1455
9,2265
9,1541
9,1559
9,1182
9,1856
9,2378
9,0682
9,0105
8,9939
9,0228
9,1368
9,1763
9,2346
9,1653
9,1277
9,1430
9,1962
9,1861
9,0920
9,0620
8,9981
8,9819
9,0476
9,0852
9,0884
9,1670
9,1931
9,2628
9,4276
9,3398
9,3342
9,4223
9,5614
9,4316
9,3111
9,3414
9,4017
9,3346
9,3310
9,2349
9,2170
9,2098
9,2665
9,2533
9,1008
9,0377
9,0795
9,1896
9,2992
9,2372
9,2061
9,3290
9,1842
9,3231
9,2835
9,1735
9,2889
9,4319
9,4314
9,3642
9,4020
9,3699
9,3106
9,3739
9,4566
9,3984
9,5637
9,8506

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42165&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42165&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42165&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'George Udny Yule' @ 72.249.76.132






Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
18.9722NANA0.996413972028731NA
28.8284NANA0.998332675899909NA
38.7446NANA1.00320216960678NA
48.7519NANA1.00352650149531NA
58.6337NANA1.00309617782405NA
68.7272NANA0.999620611253606NA
78.6338.58556569161678.60630.9975907987888761.00552489027364
88.58658.526972320118768.554554166666670.9967757704246721.00698110391901
98.59688.507860430511068.519208333333330.998667962752141.01045381153292
108.51148.48622638592748.490133333333330.999539824964751.00296640849864
118.38848.495101458368038.465991666666671.003438438501660.98743964873275
128.26718.446681390367328.44841250.999795096459520.978739414680407
138.2418.40953048940328.439795833333330.9964139720287310.979959583996328
148.31778.428702317490348.442779166666670.9983326758999090.986830438030775
158.4078.485882332260788.458795833333331.003202169606780.99070428634617
168.39178.521002063242568.491058333333331.003526501495310.984825486218301
178.41458.567653433165628.541208333333331.003096177824050.982124226387034
188.52458.603897039409118.60716250.9996206112536060.99077196774375
198.62898.655488493355158.676391666666670.9975907987888760.996928134861994
208.66228.719416495528758.747620833333330.9967757704246720.993438036185324
218.90558.808771571037828.820520833333330.998667962752141.01098092148061
228.9778.890415302647528.894508333333330.999539824964751.00973910603779
239.12649.016191220475438.985295833333331.003438438501661.01222342969771
249.1129.079826630077729.08168750.999795096459521.00354339033476
259.05769.125561873152829.158404166666670.9964139720287310.992552582065905
269.21069.208083998687469.22346250.9983326758999091.00027323831026
279.26379.298797950338369.269116666666671.003202169606780.996225538986243
289.31079.323873440763889.291108333333331.003526501495310.998587127887613
299.67449.325676496477639.296891666666671.003096177824051.03739390956292
309.5789.291565213491639.295091666666670.9996206112536061.03082739882108
319.41669.280470815539729.302883333333330.9975907987888761.01466834896268
329.43599.275642294819989.305645833333330.9967757704246721.01727726232711
339.22759.289434622626939.3018250.998667962752140.99333278879254
349.18289.295187284265549.299466666666670.999539824964750.98790908877589
359.05949.307681724873189.27578751.003438438501660.973325073609932
369.13589.233086886739169.234979166666670.999795096459520.989463232835067
379.22089.168328791177269.2013250.9964139720287311.00572309414484
389.11379.157921941442989.173216666666670.9983326758999090.99517118165827
399.26899.186121626655359.15681.003202169606781.00901124290630
409.24899.185265524105279.15298751.003526501495311.00692788637713
419.16799.18675185541649.158395833333331.003096177824050.997947930268163
429.10519.162643310241089.166120833333330.9996206112536060.993719791517284
439.08189.142100815119389.164179166666670.9975907987888760.993404052707486
449.09619.132123196808339.16166250.9967757704246720.996055331708521
459.17339.146179864486659.158379166666670.998667962752141.00296518720550
469.14559.15023318589939.154445833333330.999539824964750.99948272510622
479.22659.18129029155699.149829166666671.003438438501661.00492411273442
489.15419.139860159807229.141733333333330.999795096459521.00155799322351
499.15599.101373923981829.134129166666670.9964139720287311.00599097196463
509.11829.112194145167289.12741250.9983326758999091.00065910084191
519.18569.152050372970089.12283751.003202169606781.00366580445503
529.23789.154770862541089.12261.003526501495311.00906949378697
539.06829.152471043539269.124220833333331.003096177824050.99079253644853
549.01059.121563068204439.1250250.9996206112536060.98782411880793
558.99399.102334351902669.124316666666670.9975907987888760.988087193052847
569.02289.094756565114549.1241750.9967757704246720.99208812631769
579.13689.113494294289089.125650.998667962752141.00255727440632
589.17639.119738891739339.12393750.999539824964751.00620205347238
599.23469.154143100801949.1227751.003438438501661.00878912404057
609.16539.124042568218659.12591250.999795096459521.00452183683634
619.12779.095499233271739.128233333333330.9964139720287311.00354029678882
629.1439.111486992855189.126704166666660.9983326758999091.00345860200092
639.19629.150491229598159.121283333333331.003202169606781.00499522585782
649.18619.145910559804969.113770833333331.003526501495311.00439425248391
659.0929.132070575022779.103883333333331.003096177824050.995612104101302
669.0629.094410873351269.09786250.9996206112536060.996436176702085
678.99819.078733016254649.100658333333330.9975907987888760.991118472576484
688.98199.079007507941829.1083750.9967757704246720.989304171424368
699.04769.11085614642089.123008333333330.998667962752140.993057057931306
709.08529.134848602093389.139054166666670.999539824964750.994564923376836
719.08849.187030795623839.155551.003438438501660.989264127026676
729.1679.1787730181249.180654166666670.999795096459520.998717364717402
739.19319.186077415054029.21913750.9964139720287311.00076448135898
749.26289.245904168226149.261345833333330.9983326758999091.00182738556083
759.42769.320814057952189.29106251.003202169606781.01145671841364
769.33989.345557975917029.312716666666671.003526501495310.999383880991177
779.33429.365353129877979.336445833333331.003096177824050.996673576591726
789.42239.352933588850849.356483333333330.9996206112536061.00741654054209
799.56149.346640181897739.36921250.9975907987888761.02297722111077
809.43169.343572563574429.373795833333330.9967757704246721.00942117544725
819.31119.351385325249669.363858333333330.998667962752140.99569204734395
829.34149.345364183478769.349666666666670.999539824964750.999575812841433
839.40179.373549096373829.341429166666671.003438438501661.00300322784217
849.33469.329654595618459.331566666666670.999795096459521.00053007368396
859.3319.271964147718029.305333333333340.9964139720287311.00636713552182
869.23499.254273523825779.269729166666670.9983326758999090.997906532179334
879.2179.273266455121869.243666666666671.003202169606780.993932401770815
889.20989.260233135127389.227691666666661.003526501495310.994553794230507
899.26659.245633601054679.217095833333331.003096177824051.00225689226349
909.25339.205272964225169.208766666666660.9996206112536061.00521733966624
919.10089.17734071008669.199504166666670.9975907987888760.991659816007215
929.03779.16856365768219.198220833333330.9967757704246720.985726918351878
939.07959.188519224990839.2007750.998667962752140.988135278131179
949.18969.199893656202969.204129166666660.999539824964750.99888111139241
959.29929.24122483328999.209558333333331.003438438501661.00627353708583
969.23729.205055131722189.206941666666670.999795096459521.00349208862064
979.20619.178421634368949.211454166666670.9964139720287311.00301559099523
989.3299.220317733686729.235716666666670.9983326758999091.01178725825426
999.18429.296478045321149.266804166666671.003202169606780.987922518100535
1009.32319.321498428043679.288741666666661.003526501495311.00017181486096
1019.28359.329095382617049.30031.003096177824050.995112561213384
1029.17359.306580348089839.31011250.9996206112536060.9857004030361
1039.28899.2975420880849.319995833333330.9975907987888760.999070497557083
1049.43199.296150956296469.326220833333330.9967757704246721.01460271507441
1059.43149.327001182492469.339441666666670.998667962752141.01119318154516
1069.36429.349624721982689.353929166666670.999539824964751.0015589158336
1079.4029.40095550872549.368741666666671.003438438501661.00011110479926
1089.36999.406701305239369.408629166666670.999795096459520.996087756584886
1099.3106NANANANA
1109.3739NANANANA
1119.4566NANANANA
1129.3984NANANANA
1139.5637NANANANA
1149.8506NANANANA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 8.9722 & NA & NA & 0.996413972028731 & NA \tabularnewline
2 & 8.8284 & NA & NA & 0.998332675899909 & NA \tabularnewline
3 & 8.7446 & NA & NA & 1.00320216960678 & NA \tabularnewline
4 & 8.7519 & NA & NA & 1.00352650149531 & NA \tabularnewline
5 & 8.6337 & NA & NA & 1.00309617782405 & NA \tabularnewline
6 & 8.7272 & NA & NA & 0.999620611253606 & NA \tabularnewline
7 & 8.633 & 8.5855656916167 & 8.6063 & 0.997590798788876 & 1.00552489027364 \tabularnewline
8 & 8.5865 & 8.52697232011876 & 8.55455416666667 & 0.996775770424672 & 1.00698110391901 \tabularnewline
9 & 8.5968 & 8.50786043051106 & 8.51920833333333 & 0.99866796275214 & 1.01045381153292 \tabularnewline
10 & 8.5114 & 8.4862263859274 & 8.49013333333333 & 0.99953982496475 & 1.00296640849864 \tabularnewline
11 & 8.3884 & 8.49510145836803 & 8.46599166666667 & 1.00343843850166 & 0.98743964873275 \tabularnewline
12 & 8.2671 & 8.44668139036732 & 8.4484125 & 0.99979509645952 & 0.978739414680407 \tabularnewline
13 & 8.241 & 8.4095304894032 & 8.43979583333333 & 0.996413972028731 & 0.979959583996328 \tabularnewline
14 & 8.3177 & 8.42870231749034 & 8.44277916666667 & 0.998332675899909 & 0.986830438030775 \tabularnewline
15 & 8.407 & 8.48588233226078 & 8.45879583333333 & 1.00320216960678 & 0.99070428634617 \tabularnewline
16 & 8.3917 & 8.52100206324256 & 8.49105833333333 & 1.00352650149531 & 0.984825486218301 \tabularnewline
17 & 8.4145 & 8.56765343316562 & 8.54120833333333 & 1.00309617782405 & 0.982124226387034 \tabularnewline
18 & 8.5245 & 8.60389703940911 & 8.6071625 & 0.999620611253606 & 0.99077196774375 \tabularnewline
19 & 8.6289 & 8.65548849335515 & 8.67639166666667 & 0.997590798788876 & 0.996928134861994 \tabularnewline
20 & 8.6622 & 8.71941649552875 & 8.74762083333333 & 0.996775770424672 & 0.993438036185324 \tabularnewline
21 & 8.9055 & 8.80877157103782 & 8.82052083333333 & 0.99866796275214 & 1.01098092148061 \tabularnewline
22 & 8.977 & 8.89041530264752 & 8.89450833333333 & 0.99953982496475 & 1.00973910603779 \tabularnewline
23 & 9.1264 & 9.01619122047543 & 8.98529583333333 & 1.00343843850166 & 1.01222342969771 \tabularnewline
24 & 9.112 & 9.07982663007772 & 9.0816875 & 0.99979509645952 & 1.00354339033476 \tabularnewline
25 & 9.0576 & 9.12556187315282 & 9.15840416666667 & 0.996413972028731 & 0.992552582065905 \tabularnewline
26 & 9.2106 & 9.20808399868746 & 9.2234625 & 0.998332675899909 & 1.00027323831026 \tabularnewline
27 & 9.2637 & 9.29879795033836 & 9.26911666666667 & 1.00320216960678 & 0.996225538986243 \tabularnewline
28 & 9.3107 & 9.32387344076388 & 9.29110833333333 & 1.00352650149531 & 0.998587127887613 \tabularnewline
29 & 9.6744 & 9.32567649647763 & 9.29689166666667 & 1.00309617782405 & 1.03739390956292 \tabularnewline
30 & 9.578 & 9.29156521349163 & 9.29509166666667 & 0.999620611253606 & 1.03082739882108 \tabularnewline
31 & 9.4166 & 9.28047081553972 & 9.30288333333333 & 0.997590798788876 & 1.01466834896268 \tabularnewline
32 & 9.4359 & 9.27564229481998 & 9.30564583333333 & 0.996775770424672 & 1.01727726232711 \tabularnewline
33 & 9.2275 & 9.28943462262693 & 9.301825 & 0.99866796275214 & 0.99333278879254 \tabularnewline
34 & 9.1828 & 9.29518728426554 & 9.29946666666667 & 0.99953982496475 & 0.98790908877589 \tabularnewline
35 & 9.0594 & 9.30768172487318 & 9.2757875 & 1.00343843850166 & 0.973325073609932 \tabularnewline
36 & 9.1358 & 9.23308688673916 & 9.23497916666667 & 0.99979509645952 & 0.989463232835067 \tabularnewline
37 & 9.2208 & 9.16832879117726 & 9.201325 & 0.996413972028731 & 1.00572309414484 \tabularnewline
38 & 9.1137 & 9.15792194144298 & 9.17321666666667 & 0.998332675899909 & 0.99517118165827 \tabularnewline
39 & 9.2689 & 9.18612162665535 & 9.1568 & 1.00320216960678 & 1.00901124290630 \tabularnewline
40 & 9.2489 & 9.18526552410527 & 9.1529875 & 1.00352650149531 & 1.00692788637713 \tabularnewline
41 & 9.1679 & 9.1867518554164 & 9.15839583333333 & 1.00309617782405 & 0.997947930268163 \tabularnewline
42 & 9.1051 & 9.16264331024108 & 9.16612083333333 & 0.999620611253606 & 0.993719791517284 \tabularnewline
43 & 9.0818 & 9.14210081511938 & 9.16417916666667 & 0.997590798788876 & 0.993404052707486 \tabularnewline
44 & 9.0961 & 9.13212319680833 & 9.1616625 & 0.996775770424672 & 0.996055331708521 \tabularnewline
45 & 9.1733 & 9.14617986448665 & 9.15837916666667 & 0.99866796275214 & 1.00296518720550 \tabularnewline
46 & 9.1455 & 9.1502331858993 & 9.15444583333333 & 0.99953982496475 & 0.99948272510622 \tabularnewline
47 & 9.2265 & 9.1812902915569 & 9.14982916666667 & 1.00343843850166 & 1.00492411273442 \tabularnewline
48 & 9.1541 & 9.13986015980722 & 9.14173333333333 & 0.99979509645952 & 1.00155799322351 \tabularnewline
49 & 9.1559 & 9.10137392398182 & 9.13412916666667 & 0.996413972028731 & 1.00599097196463 \tabularnewline
50 & 9.1182 & 9.11219414516728 & 9.1274125 & 0.998332675899909 & 1.00065910084191 \tabularnewline
51 & 9.1856 & 9.15205037297008 & 9.1228375 & 1.00320216960678 & 1.00366580445503 \tabularnewline
52 & 9.2378 & 9.15477086254108 & 9.1226 & 1.00352650149531 & 1.00906949378697 \tabularnewline
53 & 9.0682 & 9.15247104353926 & 9.12422083333333 & 1.00309617782405 & 0.99079253644853 \tabularnewline
54 & 9.0105 & 9.12156306820443 & 9.125025 & 0.999620611253606 & 0.98782411880793 \tabularnewline
55 & 8.9939 & 9.10233435190266 & 9.12431666666667 & 0.997590798788876 & 0.988087193052847 \tabularnewline
56 & 9.0228 & 9.09475656511454 & 9.124175 & 0.996775770424672 & 0.99208812631769 \tabularnewline
57 & 9.1368 & 9.11349429428908 & 9.12565 & 0.99866796275214 & 1.00255727440632 \tabularnewline
58 & 9.1763 & 9.11973889173933 & 9.1239375 & 0.99953982496475 & 1.00620205347238 \tabularnewline
59 & 9.2346 & 9.15414310080194 & 9.122775 & 1.00343843850166 & 1.00878912404057 \tabularnewline
60 & 9.1653 & 9.12404256821865 & 9.1259125 & 0.99979509645952 & 1.00452183683634 \tabularnewline
61 & 9.1277 & 9.09549923327173 & 9.12823333333333 & 0.996413972028731 & 1.00354029678882 \tabularnewline
62 & 9.143 & 9.11148699285518 & 9.12670416666666 & 0.998332675899909 & 1.00345860200092 \tabularnewline
63 & 9.1962 & 9.15049122959815 & 9.12128333333333 & 1.00320216960678 & 1.00499522585782 \tabularnewline
64 & 9.1861 & 9.14591055980496 & 9.11377083333333 & 1.00352650149531 & 1.00439425248391 \tabularnewline
65 & 9.092 & 9.13207057502277 & 9.10388333333333 & 1.00309617782405 & 0.995612104101302 \tabularnewline
66 & 9.062 & 9.09441087335126 & 9.0978625 & 0.999620611253606 & 0.996436176702085 \tabularnewline
67 & 8.9981 & 9.07873301625464 & 9.10065833333333 & 0.997590798788876 & 0.991118472576484 \tabularnewline
68 & 8.9819 & 9.07900750794182 & 9.108375 & 0.996775770424672 & 0.989304171424368 \tabularnewline
69 & 9.0476 & 9.1108561464208 & 9.12300833333333 & 0.99866796275214 & 0.993057057931306 \tabularnewline
70 & 9.0852 & 9.13484860209338 & 9.13905416666667 & 0.99953982496475 & 0.994564923376836 \tabularnewline
71 & 9.0884 & 9.18703079562383 & 9.15555 & 1.00343843850166 & 0.989264127026676 \tabularnewline
72 & 9.167 & 9.178773018124 & 9.18065416666667 & 0.99979509645952 & 0.998717364717402 \tabularnewline
73 & 9.1931 & 9.18607741505402 & 9.2191375 & 0.996413972028731 & 1.00076448135898 \tabularnewline
74 & 9.2628 & 9.24590416822614 & 9.26134583333333 & 0.998332675899909 & 1.00182738556083 \tabularnewline
75 & 9.4276 & 9.32081405795218 & 9.2910625 & 1.00320216960678 & 1.01145671841364 \tabularnewline
76 & 9.3398 & 9.34555797591702 & 9.31271666666667 & 1.00352650149531 & 0.999383880991177 \tabularnewline
77 & 9.3342 & 9.36535312987797 & 9.33644583333333 & 1.00309617782405 & 0.996673576591726 \tabularnewline
78 & 9.4223 & 9.35293358885084 & 9.35648333333333 & 0.999620611253606 & 1.00741654054209 \tabularnewline
79 & 9.5614 & 9.34664018189773 & 9.3692125 & 0.997590798788876 & 1.02297722111077 \tabularnewline
80 & 9.4316 & 9.34357256357442 & 9.37379583333333 & 0.996775770424672 & 1.00942117544725 \tabularnewline
81 & 9.3111 & 9.35138532524966 & 9.36385833333333 & 0.99866796275214 & 0.99569204734395 \tabularnewline
82 & 9.3414 & 9.34536418347876 & 9.34966666666667 & 0.99953982496475 & 0.999575812841433 \tabularnewline
83 & 9.4017 & 9.37354909637382 & 9.34142916666667 & 1.00343843850166 & 1.00300322784217 \tabularnewline
84 & 9.3346 & 9.32965459561845 & 9.33156666666667 & 0.99979509645952 & 1.00053007368396 \tabularnewline
85 & 9.331 & 9.27196414771802 & 9.30533333333334 & 0.996413972028731 & 1.00636713552182 \tabularnewline
86 & 9.2349 & 9.25427352382577 & 9.26972916666667 & 0.998332675899909 & 0.997906532179334 \tabularnewline
87 & 9.217 & 9.27326645512186 & 9.24366666666667 & 1.00320216960678 & 0.993932401770815 \tabularnewline
88 & 9.2098 & 9.26023313512738 & 9.22769166666666 & 1.00352650149531 & 0.994553794230507 \tabularnewline
89 & 9.2665 & 9.24563360105467 & 9.21709583333333 & 1.00309617782405 & 1.00225689226349 \tabularnewline
90 & 9.2533 & 9.20527296422516 & 9.20876666666666 & 0.999620611253606 & 1.00521733966624 \tabularnewline
91 & 9.1008 & 9.1773407100866 & 9.19950416666667 & 0.997590798788876 & 0.991659816007215 \tabularnewline
92 & 9.0377 & 9.1685636576821 & 9.19822083333333 & 0.996775770424672 & 0.985726918351878 \tabularnewline
93 & 9.0795 & 9.18851922499083 & 9.200775 & 0.99866796275214 & 0.988135278131179 \tabularnewline
94 & 9.1896 & 9.19989365620296 & 9.20412916666666 & 0.99953982496475 & 0.99888111139241 \tabularnewline
95 & 9.2992 & 9.2412248332899 & 9.20955833333333 & 1.00343843850166 & 1.00627353708583 \tabularnewline
96 & 9.2372 & 9.20505513172218 & 9.20694166666667 & 0.99979509645952 & 1.00349208862064 \tabularnewline
97 & 9.2061 & 9.17842163436894 & 9.21145416666667 & 0.996413972028731 & 1.00301559099523 \tabularnewline
98 & 9.329 & 9.22031773368672 & 9.23571666666667 & 0.998332675899909 & 1.01178725825426 \tabularnewline
99 & 9.1842 & 9.29647804532114 & 9.26680416666667 & 1.00320216960678 & 0.987922518100535 \tabularnewline
100 & 9.3231 & 9.32149842804367 & 9.28874166666666 & 1.00352650149531 & 1.00017181486096 \tabularnewline
101 & 9.2835 & 9.32909538261704 & 9.3003 & 1.00309617782405 & 0.995112561213384 \tabularnewline
102 & 9.1735 & 9.30658034808983 & 9.3101125 & 0.999620611253606 & 0.9857004030361 \tabularnewline
103 & 9.2889 & 9.297542088084 & 9.31999583333333 & 0.997590798788876 & 0.999070497557083 \tabularnewline
104 & 9.4319 & 9.29615095629646 & 9.32622083333333 & 0.996775770424672 & 1.01460271507441 \tabularnewline
105 & 9.4314 & 9.32700118249246 & 9.33944166666667 & 0.99866796275214 & 1.01119318154516 \tabularnewline
106 & 9.3642 & 9.34962472198268 & 9.35392916666667 & 0.99953982496475 & 1.0015589158336 \tabularnewline
107 & 9.402 & 9.4009555087254 & 9.36874166666667 & 1.00343843850166 & 1.00011110479926 \tabularnewline
108 & 9.3699 & 9.40670130523936 & 9.40862916666667 & 0.99979509645952 & 0.996087756584886 \tabularnewline
109 & 9.3106 & NA & NA & NA & NA \tabularnewline
110 & 9.3739 & NA & NA & NA & NA \tabularnewline
111 & 9.4566 & NA & NA & NA & NA \tabularnewline
112 & 9.3984 & NA & NA & NA & NA \tabularnewline
113 & 9.5637 & NA & NA & NA & NA \tabularnewline
114 & 9.8506 & NA & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42165&T=1

[TABLE]
[ROW][C]Classical Decomposition by Moving Averages[/C][/ROW]
[ROW][C]t[/C][C]Observations[/C][C]Fit[/C][C]Trend[/C][C]Seasonal[/C][C]Random[/C][/ROW]
[ROW][C]1[/C][C]8.9722[/C][C]NA[/C][C]NA[/C][C]0.996413972028731[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]8.8284[/C][C]NA[/C][C]NA[/C][C]0.998332675899909[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]8.7446[/C][C]NA[/C][C]NA[/C][C]1.00320216960678[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]8.7519[/C][C]NA[/C][C]NA[/C][C]1.00352650149531[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]8.6337[/C][C]NA[/C][C]NA[/C][C]1.00309617782405[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]8.7272[/C][C]NA[/C][C]NA[/C][C]0.999620611253606[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]8.633[/C][C]8.5855656916167[/C][C]8.6063[/C][C]0.997590798788876[/C][C]1.00552489027364[/C][/ROW]
[ROW][C]8[/C][C]8.5865[/C][C]8.52697232011876[/C][C]8.55455416666667[/C][C]0.996775770424672[/C][C]1.00698110391901[/C][/ROW]
[ROW][C]9[/C][C]8.5968[/C][C]8.50786043051106[/C][C]8.51920833333333[/C][C]0.99866796275214[/C][C]1.01045381153292[/C][/ROW]
[ROW][C]10[/C][C]8.5114[/C][C]8.4862263859274[/C][C]8.49013333333333[/C][C]0.99953982496475[/C][C]1.00296640849864[/C][/ROW]
[ROW][C]11[/C][C]8.3884[/C][C]8.49510145836803[/C][C]8.46599166666667[/C][C]1.00343843850166[/C][C]0.98743964873275[/C][/ROW]
[ROW][C]12[/C][C]8.2671[/C][C]8.44668139036732[/C][C]8.4484125[/C][C]0.99979509645952[/C][C]0.978739414680407[/C][/ROW]
[ROW][C]13[/C][C]8.241[/C][C]8.4095304894032[/C][C]8.43979583333333[/C][C]0.996413972028731[/C][C]0.979959583996328[/C][/ROW]
[ROW][C]14[/C][C]8.3177[/C][C]8.42870231749034[/C][C]8.44277916666667[/C][C]0.998332675899909[/C][C]0.986830438030775[/C][/ROW]
[ROW][C]15[/C][C]8.407[/C][C]8.48588233226078[/C][C]8.45879583333333[/C][C]1.00320216960678[/C][C]0.99070428634617[/C][/ROW]
[ROW][C]16[/C][C]8.3917[/C][C]8.52100206324256[/C][C]8.49105833333333[/C][C]1.00352650149531[/C][C]0.984825486218301[/C][/ROW]
[ROW][C]17[/C][C]8.4145[/C][C]8.56765343316562[/C][C]8.54120833333333[/C][C]1.00309617782405[/C][C]0.982124226387034[/C][/ROW]
[ROW][C]18[/C][C]8.5245[/C][C]8.60389703940911[/C][C]8.6071625[/C][C]0.999620611253606[/C][C]0.99077196774375[/C][/ROW]
[ROW][C]19[/C][C]8.6289[/C][C]8.65548849335515[/C][C]8.67639166666667[/C][C]0.997590798788876[/C][C]0.996928134861994[/C][/ROW]
[ROW][C]20[/C][C]8.6622[/C][C]8.71941649552875[/C][C]8.74762083333333[/C][C]0.996775770424672[/C][C]0.993438036185324[/C][/ROW]
[ROW][C]21[/C][C]8.9055[/C][C]8.80877157103782[/C][C]8.82052083333333[/C][C]0.99866796275214[/C][C]1.01098092148061[/C][/ROW]
[ROW][C]22[/C][C]8.977[/C][C]8.89041530264752[/C][C]8.89450833333333[/C][C]0.99953982496475[/C][C]1.00973910603779[/C][/ROW]
[ROW][C]23[/C][C]9.1264[/C][C]9.01619122047543[/C][C]8.98529583333333[/C][C]1.00343843850166[/C][C]1.01222342969771[/C][/ROW]
[ROW][C]24[/C][C]9.112[/C][C]9.07982663007772[/C][C]9.0816875[/C][C]0.99979509645952[/C][C]1.00354339033476[/C][/ROW]
[ROW][C]25[/C][C]9.0576[/C][C]9.12556187315282[/C][C]9.15840416666667[/C][C]0.996413972028731[/C][C]0.992552582065905[/C][/ROW]
[ROW][C]26[/C][C]9.2106[/C][C]9.20808399868746[/C][C]9.2234625[/C][C]0.998332675899909[/C][C]1.00027323831026[/C][/ROW]
[ROW][C]27[/C][C]9.2637[/C][C]9.29879795033836[/C][C]9.26911666666667[/C][C]1.00320216960678[/C][C]0.996225538986243[/C][/ROW]
[ROW][C]28[/C][C]9.3107[/C][C]9.32387344076388[/C][C]9.29110833333333[/C][C]1.00352650149531[/C][C]0.998587127887613[/C][/ROW]
[ROW][C]29[/C][C]9.6744[/C][C]9.32567649647763[/C][C]9.29689166666667[/C][C]1.00309617782405[/C][C]1.03739390956292[/C][/ROW]
[ROW][C]30[/C][C]9.578[/C][C]9.29156521349163[/C][C]9.29509166666667[/C][C]0.999620611253606[/C][C]1.03082739882108[/C][/ROW]
[ROW][C]31[/C][C]9.4166[/C][C]9.28047081553972[/C][C]9.30288333333333[/C][C]0.997590798788876[/C][C]1.01466834896268[/C][/ROW]
[ROW][C]32[/C][C]9.4359[/C][C]9.27564229481998[/C][C]9.30564583333333[/C][C]0.996775770424672[/C][C]1.01727726232711[/C][/ROW]
[ROW][C]33[/C][C]9.2275[/C][C]9.28943462262693[/C][C]9.301825[/C][C]0.99866796275214[/C][C]0.99333278879254[/C][/ROW]
[ROW][C]34[/C][C]9.1828[/C][C]9.29518728426554[/C][C]9.29946666666667[/C][C]0.99953982496475[/C][C]0.98790908877589[/C][/ROW]
[ROW][C]35[/C][C]9.0594[/C][C]9.30768172487318[/C][C]9.2757875[/C][C]1.00343843850166[/C][C]0.973325073609932[/C][/ROW]
[ROW][C]36[/C][C]9.1358[/C][C]9.23308688673916[/C][C]9.23497916666667[/C][C]0.99979509645952[/C][C]0.989463232835067[/C][/ROW]
[ROW][C]37[/C][C]9.2208[/C][C]9.16832879117726[/C][C]9.201325[/C][C]0.996413972028731[/C][C]1.00572309414484[/C][/ROW]
[ROW][C]38[/C][C]9.1137[/C][C]9.15792194144298[/C][C]9.17321666666667[/C][C]0.998332675899909[/C][C]0.99517118165827[/C][/ROW]
[ROW][C]39[/C][C]9.2689[/C][C]9.18612162665535[/C][C]9.1568[/C][C]1.00320216960678[/C][C]1.00901124290630[/C][/ROW]
[ROW][C]40[/C][C]9.2489[/C][C]9.18526552410527[/C][C]9.1529875[/C][C]1.00352650149531[/C][C]1.00692788637713[/C][/ROW]
[ROW][C]41[/C][C]9.1679[/C][C]9.1867518554164[/C][C]9.15839583333333[/C][C]1.00309617782405[/C][C]0.997947930268163[/C][/ROW]
[ROW][C]42[/C][C]9.1051[/C][C]9.16264331024108[/C][C]9.16612083333333[/C][C]0.999620611253606[/C][C]0.993719791517284[/C][/ROW]
[ROW][C]43[/C][C]9.0818[/C][C]9.14210081511938[/C][C]9.16417916666667[/C][C]0.997590798788876[/C][C]0.993404052707486[/C][/ROW]
[ROW][C]44[/C][C]9.0961[/C][C]9.13212319680833[/C][C]9.1616625[/C][C]0.996775770424672[/C][C]0.996055331708521[/C][/ROW]
[ROW][C]45[/C][C]9.1733[/C][C]9.14617986448665[/C][C]9.15837916666667[/C][C]0.99866796275214[/C][C]1.00296518720550[/C][/ROW]
[ROW][C]46[/C][C]9.1455[/C][C]9.1502331858993[/C][C]9.15444583333333[/C][C]0.99953982496475[/C][C]0.99948272510622[/C][/ROW]
[ROW][C]47[/C][C]9.2265[/C][C]9.1812902915569[/C][C]9.14982916666667[/C][C]1.00343843850166[/C][C]1.00492411273442[/C][/ROW]
[ROW][C]48[/C][C]9.1541[/C][C]9.13986015980722[/C][C]9.14173333333333[/C][C]0.99979509645952[/C][C]1.00155799322351[/C][/ROW]
[ROW][C]49[/C][C]9.1559[/C][C]9.10137392398182[/C][C]9.13412916666667[/C][C]0.996413972028731[/C][C]1.00599097196463[/C][/ROW]
[ROW][C]50[/C][C]9.1182[/C][C]9.11219414516728[/C][C]9.1274125[/C][C]0.998332675899909[/C][C]1.00065910084191[/C][/ROW]
[ROW][C]51[/C][C]9.1856[/C][C]9.15205037297008[/C][C]9.1228375[/C][C]1.00320216960678[/C][C]1.00366580445503[/C][/ROW]
[ROW][C]52[/C][C]9.2378[/C][C]9.15477086254108[/C][C]9.1226[/C][C]1.00352650149531[/C][C]1.00906949378697[/C][/ROW]
[ROW][C]53[/C][C]9.0682[/C][C]9.15247104353926[/C][C]9.12422083333333[/C][C]1.00309617782405[/C][C]0.99079253644853[/C][/ROW]
[ROW][C]54[/C][C]9.0105[/C][C]9.12156306820443[/C][C]9.125025[/C][C]0.999620611253606[/C][C]0.98782411880793[/C][/ROW]
[ROW][C]55[/C][C]8.9939[/C][C]9.10233435190266[/C][C]9.12431666666667[/C][C]0.997590798788876[/C][C]0.988087193052847[/C][/ROW]
[ROW][C]56[/C][C]9.0228[/C][C]9.09475656511454[/C][C]9.124175[/C][C]0.996775770424672[/C][C]0.99208812631769[/C][/ROW]
[ROW][C]57[/C][C]9.1368[/C][C]9.11349429428908[/C][C]9.12565[/C][C]0.99866796275214[/C][C]1.00255727440632[/C][/ROW]
[ROW][C]58[/C][C]9.1763[/C][C]9.11973889173933[/C][C]9.1239375[/C][C]0.99953982496475[/C][C]1.00620205347238[/C][/ROW]
[ROW][C]59[/C][C]9.2346[/C][C]9.15414310080194[/C][C]9.122775[/C][C]1.00343843850166[/C][C]1.00878912404057[/C][/ROW]
[ROW][C]60[/C][C]9.1653[/C][C]9.12404256821865[/C][C]9.1259125[/C][C]0.99979509645952[/C][C]1.00452183683634[/C][/ROW]
[ROW][C]61[/C][C]9.1277[/C][C]9.09549923327173[/C][C]9.12823333333333[/C][C]0.996413972028731[/C][C]1.00354029678882[/C][/ROW]
[ROW][C]62[/C][C]9.143[/C][C]9.11148699285518[/C][C]9.12670416666666[/C][C]0.998332675899909[/C][C]1.00345860200092[/C][/ROW]
[ROW][C]63[/C][C]9.1962[/C][C]9.15049122959815[/C][C]9.12128333333333[/C][C]1.00320216960678[/C][C]1.00499522585782[/C][/ROW]
[ROW][C]64[/C][C]9.1861[/C][C]9.14591055980496[/C][C]9.11377083333333[/C][C]1.00352650149531[/C][C]1.00439425248391[/C][/ROW]
[ROW][C]65[/C][C]9.092[/C][C]9.13207057502277[/C][C]9.10388333333333[/C][C]1.00309617782405[/C][C]0.995612104101302[/C][/ROW]
[ROW][C]66[/C][C]9.062[/C][C]9.09441087335126[/C][C]9.0978625[/C][C]0.999620611253606[/C][C]0.996436176702085[/C][/ROW]
[ROW][C]67[/C][C]8.9981[/C][C]9.07873301625464[/C][C]9.10065833333333[/C][C]0.997590798788876[/C][C]0.991118472576484[/C][/ROW]
[ROW][C]68[/C][C]8.9819[/C][C]9.07900750794182[/C][C]9.108375[/C][C]0.996775770424672[/C][C]0.989304171424368[/C][/ROW]
[ROW][C]69[/C][C]9.0476[/C][C]9.1108561464208[/C][C]9.12300833333333[/C][C]0.99866796275214[/C][C]0.993057057931306[/C][/ROW]
[ROW][C]70[/C][C]9.0852[/C][C]9.13484860209338[/C][C]9.13905416666667[/C][C]0.99953982496475[/C][C]0.994564923376836[/C][/ROW]
[ROW][C]71[/C][C]9.0884[/C][C]9.18703079562383[/C][C]9.15555[/C][C]1.00343843850166[/C][C]0.989264127026676[/C][/ROW]
[ROW][C]72[/C][C]9.167[/C][C]9.178773018124[/C][C]9.18065416666667[/C][C]0.99979509645952[/C][C]0.998717364717402[/C][/ROW]
[ROW][C]73[/C][C]9.1931[/C][C]9.18607741505402[/C][C]9.2191375[/C][C]0.996413972028731[/C][C]1.00076448135898[/C][/ROW]
[ROW][C]74[/C][C]9.2628[/C][C]9.24590416822614[/C][C]9.26134583333333[/C][C]0.998332675899909[/C][C]1.00182738556083[/C][/ROW]
[ROW][C]75[/C][C]9.4276[/C][C]9.32081405795218[/C][C]9.2910625[/C][C]1.00320216960678[/C][C]1.01145671841364[/C][/ROW]
[ROW][C]76[/C][C]9.3398[/C][C]9.34555797591702[/C][C]9.31271666666667[/C][C]1.00352650149531[/C][C]0.999383880991177[/C][/ROW]
[ROW][C]77[/C][C]9.3342[/C][C]9.36535312987797[/C][C]9.33644583333333[/C][C]1.00309617782405[/C][C]0.996673576591726[/C][/ROW]
[ROW][C]78[/C][C]9.4223[/C][C]9.35293358885084[/C][C]9.35648333333333[/C][C]0.999620611253606[/C][C]1.00741654054209[/C][/ROW]
[ROW][C]79[/C][C]9.5614[/C][C]9.34664018189773[/C][C]9.3692125[/C][C]0.997590798788876[/C][C]1.02297722111077[/C][/ROW]
[ROW][C]80[/C][C]9.4316[/C][C]9.34357256357442[/C][C]9.37379583333333[/C][C]0.996775770424672[/C][C]1.00942117544725[/C][/ROW]
[ROW][C]81[/C][C]9.3111[/C][C]9.35138532524966[/C][C]9.36385833333333[/C][C]0.99866796275214[/C][C]0.99569204734395[/C][/ROW]
[ROW][C]82[/C][C]9.3414[/C][C]9.34536418347876[/C][C]9.34966666666667[/C][C]0.99953982496475[/C][C]0.999575812841433[/C][/ROW]
[ROW][C]83[/C][C]9.4017[/C][C]9.37354909637382[/C][C]9.34142916666667[/C][C]1.00343843850166[/C][C]1.00300322784217[/C][/ROW]
[ROW][C]84[/C][C]9.3346[/C][C]9.32965459561845[/C][C]9.33156666666667[/C][C]0.99979509645952[/C][C]1.00053007368396[/C][/ROW]
[ROW][C]85[/C][C]9.331[/C][C]9.27196414771802[/C][C]9.30533333333334[/C][C]0.996413972028731[/C][C]1.00636713552182[/C][/ROW]
[ROW][C]86[/C][C]9.2349[/C][C]9.25427352382577[/C][C]9.26972916666667[/C][C]0.998332675899909[/C][C]0.997906532179334[/C][/ROW]
[ROW][C]87[/C][C]9.217[/C][C]9.27326645512186[/C][C]9.24366666666667[/C][C]1.00320216960678[/C][C]0.993932401770815[/C][/ROW]
[ROW][C]88[/C][C]9.2098[/C][C]9.26023313512738[/C][C]9.22769166666666[/C][C]1.00352650149531[/C][C]0.994553794230507[/C][/ROW]
[ROW][C]89[/C][C]9.2665[/C][C]9.24563360105467[/C][C]9.21709583333333[/C][C]1.00309617782405[/C][C]1.00225689226349[/C][/ROW]
[ROW][C]90[/C][C]9.2533[/C][C]9.20527296422516[/C][C]9.20876666666666[/C][C]0.999620611253606[/C][C]1.00521733966624[/C][/ROW]
[ROW][C]91[/C][C]9.1008[/C][C]9.1773407100866[/C][C]9.19950416666667[/C][C]0.997590798788876[/C][C]0.991659816007215[/C][/ROW]
[ROW][C]92[/C][C]9.0377[/C][C]9.1685636576821[/C][C]9.19822083333333[/C][C]0.996775770424672[/C][C]0.985726918351878[/C][/ROW]
[ROW][C]93[/C][C]9.0795[/C][C]9.18851922499083[/C][C]9.200775[/C][C]0.99866796275214[/C][C]0.988135278131179[/C][/ROW]
[ROW][C]94[/C][C]9.1896[/C][C]9.19989365620296[/C][C]9.20412916666666[/C][C]0.99953982496475[/C][C]0.99888111139241[/C][/ROW]
[ROW][C]95[/C][C]9.2992[/C][C]9.2412248332899[/C][C]9.20955833333333[/C][C]1.00343843850166[/C][C]1.00627353708583[/C][/ROW]
[ROW][C]96[/C][C]9.2372[/C][C]9.20505513172218[/C][C]9.20694166666667[/C][C]0.99979509645952[/C][C]1.00349208862064[/C][/ROW]
[ROW][C]97[/C][C]9.2061[/C][C]9.17842163436894[/C][C]9.21145416666667[/C][C]0.996413972028731[/C][C]1.00301559099523[/C][/ROW]
[ROW][C]98[/C][C]9.329[/C][C]9.22031773368672[/C][C]9.23571666666667[/C][C]0.998332675899909[/C][C]1.01178725825426[/C][/ROW]
[ROW][C]99[/C][C]9.1842[/C][C]9.29647804532114[/C][C]9.26680416666667[/C][C]1.00320216960678[/C][C]0.987922518100535[/C][/ROW]
[ROW][C]100[/C][C]9.3231[/C][C]9.32149842804367[/C][C]9.28874166666666[/C][C]1.00352650149531[/C][C]1.00017181486096[/C][/ROW]
[ROW][C]101[/C][C]9.2835[/C][C]9.32909538261704[/C][C]9.3003[/C][C]1.00309617782405[/C][C]0.995112561213384[/C][/ROW]
[ROW][C]102[/C][C]9.1735[/C][C]9.30658034808983[/C][C]9.3101125[/C][C]0.999620611253606[/C][C]0.9857004030361[/C][/ROW]
[ROW][C]103[/C][C]9.2889[/C][C]9.297542088084[/C][C]9.31999583333333[/C][C]0.997590798788876[/C][C]0.999070497557083[/C][/ROW]
[ROW][C]104[/C][C]9.4319[/C][C]9.29615095629646[/C][C]9.32622083333333[/C][C]0.996775770424672[/C][C]1.01460271507441[/C][/ROW]
[ROW][C]105[/C][C]9.4314[/C][C]9.32700118249246[/C][C]9.33944166666667[/C][C]0.99866796275214[/C][C]1.01119318154516[/C][/ROW]
[ROW][C]106[/C][C]9.3642[/C][C]9.34962472198268[/C][C]9.35392916666667[/C][C]0.99953982496475[/C][C]1.0015589158336[/C][/ROW]
[ROW][C]107[/C][C]9.402[/C][C]9.4009555087254[/C][C]9.36874166666667[/C][C]1.00343843850166[/C][C]1.00011110479926[/C][/ROW]
[ROW][C]108[/C][C]9.3699[/C][C]9.40670130523936[/C][C]9.40862916666667[/C][C]0.99979509645952[/C][C]0.996087756584886[/C][/ROW]
[ROW][C]109[/C][C]9.3106[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]110[/C][C]9.3739[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]111[/C][C]9.4566[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]112[/C][C]9.3984[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]113[/C][C]9.5637[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]114[/C][C]9.8506[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42165&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42165&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
18.9722NANA0.996413972028731NA
28.8284NANA0.998332675899909NA
38.7446NANA1.00320216960678NA
48.7519NANA1.00352650149531NA
58.6337NANA1.00309617782405NA
68.7272NANA0.999620611253606NA
78.6338.58556569161678.60630.9975907987888761.00552489027364
88.58658.526972320118768.554554166666670.9967757704246721.00698110391901
98.59688.507860430511068.519208333333330.998667962752141.01045381153292
108.51148.48622638592748.490133333333330.999539824964751.00296640849864
118.38848.495101458368038.465991666666671.003438438501660.98743964873275
128.26718.446681390367328.44841250.999795096459520.978739414680407
138.2418.40953048940328.439795833333330.9964139720287310.979959583996328
148.31778.428702317490348.442779166666670.9983326758999090.986830438030775
158.4078.485882332260788.458795833333331.003202169606780.99070428634617
168.39178.521002063242568.491058333333331.003526501495310.984825486218301
178.41458.567653433165628.541208333333331.003096177824050.982124226387034
188.52458.603897039409118.60716250.9996206112536060.99077196774375
198.62898.655488493355158.676391666666670.9975907987888760.996928134861994
208.66228.719416495528758.747620833333330.9967757704246720.993438036185324
218.90558.808771571037828.820520833333330.998667962752141.01098092148061
228.9778.890415302647528.894508333333330.999539824964751.00973910603779
239.12649.016191220475438.985295833333331.003438438501661.01222342969771
249.1129.079826630077729.08168750.999795096459521.00354339033476
259.05769.125561873152829.158404166666670.9964139720287310.992552582065905
269.21069.208083998687469.22346250.9983326758999091.00027323831026
279.26379.298797950338369.269116666666671.003202169606780.996225538986243
289.31079.323873440763889.291108333333331.003526501495310.998587127887613
299.67449.325676496477639.296891666666671.003096177824051.03739390956292
309.5789.291565213491639.295091666666670.9996206112536061.03082739882108
319.41669.280470815539729.302883333333330.9975907987888761.01466834896268
329.43599.275642294819989.305645833333330.9967757704246721.01727726232711
339.22759.289434622626939.3018250.998667962752140.99333278879254
349.18289.295187284265549.299466666666670.999539824964750.98790908877589
359.05949.307681724873189.27578751.003438438501660.973325073609932
369.13589.233086886739169.234979166666670.999795096459520.989463232835067
379.22089.168328791177269.2013250.9964139720287311.00572309414484
389.11379.157921941442989.173216666666670.9983326758999090.99517118165827
399.26899.186121626655359.15681.003202169606781.00901124290630
409.24899.185265524105279.15298751.003526501495311.00692788637713
419.16799.18675185541649.158395833333331.003096177824050.997947930268163
429.10519.162643310241089.166120833333330.9996206112536060.993719791517284
439.08189.142100815119389.164179166666670.9975907987888760.993404052707486
449.09619.132123196808339.16166250.9967757704246720.996055331708521
459.17339.146179864486659.158379166666670.998667962752141.00296518720550
469.14559.15023318589939.154445833333330.999539824964750.99948272510622
479.22659.18129029155699.149829166666671.003438438501661.00492411273442
489.15419.139860159807229.141733333333330.999795096459521.00155799322351
499.15599.101373923981829.134129166666670.9964139720287311.00599097196463
509.11829.112194145167289.12741250.9983326758999091.00065910084191
519.18569.152050372970089.12283751.003202169606781.00366580445503
529.23789.154770862541089.12261.003526501495311.00906949378697
539.06829.152471043539269.124220833333331.003096177824050.99079253644853
549.01059.121563068204439.1250250.9996206112536060.98782411880793
558.99399.102334351902669.124316666666670.9975907987888760.988087193052847
569.02289.094756565114549.1241750.9967757704246720.99208812631769
579.13689.113494294289089.125650.998667962752141.00255727440632
589.17639.119738891739339.12393750.999539824964751.00620205347238
599.23469.154143100801949.1227751.003438438501661.00878912404057
609.16539.124042568218659.12591250.999795096459521.00452183683634
619.12779.095499233271739.128233333333330.9964139720287311.00354029678882
629.1439.111486992855189.126704166666660.9983326758999091.00345860200092
639.19629.150491229598159.121283333333331.003202169606781.00499522585782
649.18619.145910559804969.113770833333331.003526501495311.00439425248391
659.0929.132070575022779.103883333333331.003096177824050.995612104101302
669.0629.094410873351269.09786250.9996206112536060.996436176702085
678.99819.078733016254649.100658333333330.9975907987888760.991118472576484
688.98199.079007507941829.1083750.9967757704246720.989304171424368
699.04769.11085614642089.123008333333330.998667962752140.993057057931306
709.08529.134848602093389.139054166666670.999539824964750.994564923376836
719.08849.187030795623839.155551.003438438501660.989264127026676
729.1679.1787730181249.180654166666670.999795096459520.998717364717402
739.19319.186077415054029.21913750.9964139720287311.00076448135898
749.26289.245904168226149.261345833333330.9983326758999091.00182738556083
759.42769.320814057952189.29106251.003202169606781.01145671841364
769.33989.345557975917029.312716666666671.003526501495310.999383880991177
779.33429.365353129877979.336445833333331.003096177824050.996673576591726
789.42239.352933588850849.356483333333330.9996206112536061.00741654054209
799.56149.346640181897739.36921250.9975907987888761.02297722111077
809.43169.343572563574429.373795833333330.9967757704246721.00942117544725
819.31119.351385325249669.363858333333330.998667962752140.99569204734395
829.34149.345364183478769.349666666666670.999539824964750.999575812841433
839.40179.373549096373829.341429166666671.003438438501661.00300322784217
849.33469.329654595618459.331566666666670.999795096459521.00053007368396
859.3319.271964147718029.305333333333340.9964139720287311.00636713552182
869.23499.254273523825779.269729166666670.9983326758999090.997906532179334
879.2179.273266455121869.243666666666671.003202169606780.993932401770815
889.20989.260233135127389.227691666666661.003526501495310.994553794230507
899.26659.245633601054679.217095833333331.003096177824051.00225689226349
909.25339.205272964225169.208766666666660.9996206112536061.00521733966624
919.10089.17734071008669.199504166666670.9975907987888760.991659816007215
929.03779.16856365768219.198220833333330.9967757704246720.985726918351878
939.07959.188519224990839.2007750.998667962752140.988135278131179
949.18969.199893656202969.204129166666660.999539824964750.99888111139241
959.29929.24122483328999.209558333333331.003438438501661.00627353708583
969.23729.205055131722189.206941666666670.999795096459521.00349208862064
979.20619.178421634368949.211454166666670.9964139720287311.00301559099523
989.3299.220317733686729.235716666666670.9983326758999091.01178725825426
999.18429.296478045321149.266804166666671.003202169606780.987922518100535
1009.32319.321498428043679.288741666666661.003526501495311.00017181486096
1019.28359.329095382617049.30031.003096177824050.995112561213384
1029.17359.306580348089839.31011250.9996206112536060.9857004030361
1039.28899.2975420880849.319995833333330.9975907987888760.999070497557083
1049.43199.296150956296469.326220833333330.9967757704246721.01460271507441
1059.43149.327001182492469.339441666666670.998667962752141.01119318154516
1069.36429.349624721982689.353929166666670.999539824964751.0015589158336
1079.4029.40095550872549.368741666666671.003438438501661.00011110479926
1089.36999.406701305239369.408629166666670.999795096459520.996087756584886
1099.3106NANANANA
1109.3739NANANANA
1119.4566NANANANA
1129.3984NANANANA
1139.5637NANANANA
1149.8506NANANANA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = multiplicative ; par2 = 12 ;
Parameters (R input):
par1 = multiplicative ; par2 = 12 ;
R code (references can be found in the software module):
par2 <- as.numeric(par2)
x <- ts(x,freq=par2)
m <- decompose(x,type=par1)
m$figure
bitmap(file='test1.png')
plot(m)
dev.off()
mylagmax <- length(x)/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observations',header=TRUE)
a<-table.element(a,'Fit',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Random',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(m$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i])
a<-table.element(a,m$trend[i])
a<-table.element(a,m$seasonal[i])
a<-table.element(a,m$random[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')