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Description of Statistical Computation

Author's title

Classical decomposition - Koers BEL 20 van Januari 2000 tot Januari 2009 - ...

Author*Unverified author*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationMon, 01 Jun 2009 03:21:25 -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/01/t1243848135wpktbb437dudg7n.htm/, Retrieved Sun, 12 May 2024 23:17:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40860, Retrieved Sun, 12 May 2024 23:17:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact150

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [Classical decompo...] [2009-06-01 09:21:25] [fbcf875f1b36dfb87c2c6a55976f6e7b] [Current]
-    D    [Classical Decomposition] [opgave 9 OEFENING...] [2009-06-08 09:52:25] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3030,29
2803,47
2767,63
2882,6
2863,36
2897,06
3012,61
3142,95
3032,93
3045,78
3110,52
3013,24
2987,1
2995,55
2833,18
2848,96
2794,83
2845,26
2915,02
2892,63
2604,42
2641,65
2659,81
2638,53
2720,25
2745,88
2735,7
2811,7
2799,43
2555,28
2304,98
2214,95
2065,81
1940,49
2042
1995,37
1946,81
1765,9
1635,25
1833,42
1910,43
1959,67
1969,6
2061,41
2091,48
2120,88
2174,56
2196,72
2350,44
2440,25
2408,64
2472,81
2407,6
2452,62
2448,05
2497,84
2645,64
2756,76
2849,27
2921,44
2981,85
3080,58
3106,22
3119,31
3061,26
3097,31
3161,69
3257,16
3277,01
3295,32
3363,99
3494,17
3667,03
3813,06
3917,96
3895,51
3801,06
3570,12
3701,61
3862,27
3970,1
4138,52
4199,75
4290,89
4443,91
4502,64
4356,98
4591,27
4696,96
4621,4
4562,84
4202,52
4296,49
4435,23
4105,18
4116,68
3844,49
3720,98
3674,4
3857,62
3801,06
3504,37
3032,6
3047,03
2962,34
2197,82
2014,45
1862,83
1905,41

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40860&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40860&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40860&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
13030.29NANA20.4275824652778NA
22803.47NANA36.1930512152779NA
32767.63NANA-12.503459201389NA
42882.6NANA87.5644053819447NA
52863.36NANA77.9433116319444NA
62897.06NANA6.31872829861102NA
73012.612919.309665798612965.07041666667-45.760750868055693.3003342013894
83142.952915.494613715282971.27416666667-55.7795529513891227.455386284722
93032.932928.857842881942982.00875-53.1509071180558104.072157118056
103045.782952.695811631942983.33833333333-30.642521701388993.0841883680564
113110.522947.598311631942979.08125-31.4829383680555162.921688368056
123013.242974.940551215282974.06750.87305121527789438.2994487847218
132987.12988.270499131942967.8429166666720.4275824652778-1.17049913194433
142995.552989.539717881952953.3466666666736.19305121527796.01028211805487
152833.182912.558624131942925.06208333333-12.503459201389-79.3786241319444
162848.962977.933155381942890.3687587.5644053819447-128.973155381945
172794.832932.693728298612854.7504166666777.9433116319444-137.863728298612
182845.262826.676644965282820.357916666676.3187282986110218.5833550347224
192915.022747.865499131942793.62625-45.7607508680556167.154500868056
202892.632716.325030381942772.10458333333-55.7795529513891176.304969618056
212604.422704.489092881942757.64-53.1509071180558-100.069092881944
222641.652721.383311631942752.02583333333-30.6425217013889-79.7333116319446
232659.812719.182061631952750.665-31.4829383680555-59.3720616319451
242638.532739.647217881942738.774166666670.873051215277894-101.117217881945
252720.252721.700915798612701.2733333333320.4275824652778-1.45091579861037
262745.882683.811384548612647.6183333333336.193051215277962.0686154513892
272735.72584.436124131942596.93958333333-12.503459201389151.263875868056
282811.72632.846905381942545.282587.5644053819447178.853094618056
292799.432568.268728298612490.3254166666777.9433116319444231.161271701389
302555.282444.103728298612437.7856.31872829861102111.176271701389
312304.982332.999249131942378.76-45.7607508680556-28.0192491319444
322214.952249.921280381942305.70083333333-55.7795529513891-34.9712803819448
332065.812165.865342881942219.01625-53.1509071180558-100.055342881944
341940.492101.759978298612132.4025-30.6425217013889-161.269978298611
3520422023.116228298612054.59916666667-31.482938368055518.8837717013889
361995.371993.613467881941992.740416666670.8730512152778941.75653211805547
371946.811974.376749131941953.9491666666720.4275824652778-27.5667491319443
381765.91969.770551215281933.577536.1930512152779-203.870551215278
391635.251915.746124131941928.24958333333-12.503459201389-280.496124131944
401833.422024.399822048611936.8354166666787.5644053819447-190.979822048611
411910.432027.818311631941949.87577.9433116319444-117.388311631944
421959.671970.106644965281963.787916666676.31872829861102-10.4366449652771
431969.61943.234665798611988.99541666667-45.760750868055626.3653342013890
442061.411978.131697048612033.91125-55.779552951389183.2783029513892
452091.482041.082842881942094.23375-53.150907118055850.3971571180559
462120.882122.457061631942153.09958333333-30.6425217013889-1.57706163194371
472174.562168.973311631942200.45625-31.48293836805555.58668836805509
482196.722242.584301215282241.711250.873051215277894-45.8643012152775
492350.442302.613832465282282.1862520.427582465277847.8261675347221
502440.252356.499301215282320.3062536.193051215277983.7506987847223
512408.642349.077374131942361.58083333333-12.50345920138959.5626258680559
522472.812498.730238715282411.1658333333387.5644053819447-25.9202387152777
532407.62543.717061631942465.7737577.9433116319444-136.117061631945
542452.622530.402061631942524.083333333336.31872829861102-77.7820616319445
552448.052534.827999131942580.58875-45.7607508680556-86.777999131944
562497.842577.798363715282633.57791666667-55.7795529513891-79.9583637152773
572645.642636.173259548612689.32416666667-53.15090711805589.46674045138889
582756.762714.684978298612745.3275-30.642521701388942.0750217013892
592849.272768.017894965282799.50083333333-31.482938368055581.2521050347227
602921.442854.471801215282853.598750.87305121527789466.9681987847225
612981.852930.623415798612910.1958333333320.427582465277851.2265842013894
623080.583007.762217881942971.5691666666736.193051215277972.8177821180557
633106.223017.011124131943029.51458333333-12.50345920138989.2088758680552
643119.313165.826072048613078.2616666666787.5644053819447-46.516072048611
653061.263200.091644965283122.1483333333377.9433116319444-138.831644965278
663097.313173.777478298613167.458756.31872829861102-76.4674782986108
673161.693174.110915798613219.87166666667-45.7607508680556-12.4209157986111
683257.163223.161280381943278.94083333333-55.779552951389133.9987196180559
693277.013290.132426215283343.28333333333-53.1509071180558-13.1224262152773
703295.323378.804978298613409.4475-30.6425217013889-83.4849782986107
713363.993441.131228298613472.61416666667-31.4829383680555-77.1412282986112
723494.173524.012634548613523.139583333330.873051215277894-29.8426345486114
733667.033585.764249131943565.3366666666720.427582465277881.2657508680559
743813.063649.239301215283613.0462536.1930512152779163.820698784722
753917.963654.634457465283667.13791666667-12.503459201389263.325542534722
763895.513818.714405381943731.1587.564405381944776.7955946180555
773801.063879.049978298613801.1066666666777.9433116319444-77.9899782986113
783570.123875.445394965283869.126666666676.31872829861102-305.325394965278
793701.613888.932582465283934.69333333333-45.7607508680556-187.322582465278
803862.273940.016280381943995.79583333333-55.7795529513891-77.7462803819449
813970.13989.669926215284042.82083333333-53.1509071180558-19.5699262152780
824138.524059.460811631944090.10333333333-30.642521701388979.0591883680563
834199.754124.939561631944156.4225-31.482938368055574.8104383680557
844290.894238.428051215284237.5550.87305121527789452.4619487847231
854443.914337.670499131944317.2429166666720.4275824652778106.239500868056
864502.644403.497634548614367.3045833333336.193051215277999.14236545139
874356.984382.577790798614395.08125-12.503459201389-25.5977907986116
884591.274508.608155381944421.0437587.564405381944782.6618446180555
894696.964507.409561631944429.4662577.9433116319444189.550438368056
904621.44424.585811631954418.267083333336.31872829861102196.814188368055
914562.844340.271749131944386.0325-45.7607508680556222.568250868057
924202.524272.707947048614328.4875-55.7795529513891-70.187947048611
934296.494214.326592881944267.4775-53.150907118055882.1634071180551
944435.234177.825394965284208.46791666667-30.6425217013889257.404605034721
954105.184109.087061631954140.57-31.4829383680555-3.907061631945
964116.684057.570967881944056.697916666670.87305121527789459.1090321180554
973844.493966.822582465283946.39520.4275824652778-122.332582465278
983720.983870.682634548613834.4895833333336.1930512152779-149.702634548612
993674.43718.251124131943730.75458333333-12.503459201389-43.8511241319443
1003857.623669.503988715283581.9395833333387.5644053819447188.116011284722
1013801.063479.543728298613401.6004166666777.9433116319444321.516271701389
1023504.373226.894978298613220.576256.31872829861102277.47502170139
1033032.63000.110082465283045.87083333333-45.760750868055632.4899175347227
1043047.03NANA-55.7795529513891NA
1052962.34NANA-53.1509071180558NA
1062197.82NANA-30.6425217013889NA
1072014.45NANA-31.4829383680555NA
1081862.83NANA0.873051215277894NA
1091905.41NANANANA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 3030.29 & NA & NA & 20.4275824652778 & NA \tabularnewline
2 & 2803.47 & NA & NA & 36.1930512152779 & NA \tabularnewline
3 & 2767.63 & NA & NA & -12.503459201389 & NA \tabularnewline
4 & 2882.6 & NA & NA & 87.5644053819447 & NA \tabularnewline
5 & 2863.36 & NA & NA & 77.9433116319444 & NA \tabularnewline
6 & 2897.06 & NA & NA & 6.31872829861102 & NA \tabularnewline
7 & 3012.61 & 2919.30966579861 & 2965.07041666667 & -45.7607508680556 & 93.3003342013894 \tabularnewline
8 & 3142.95 & 2915.49461371528 & 2971.27416666667 & -55.7795529513891 & 227.455386284722 \tabularnewline
9 & 3032.93 & 2928.85784288194 & 2982.00875 & -53.1509071180558 & 104.072157118056 \tabularnewline
10 & 3045.78 & 2952.69581163194 & 2983.33833333333 & -30.6425217013889 & 93.0841883680564 \tabularnewline
11 & 3110.52 & 2947.59831163194 & 2979.08125 & -31.4829383680555 & 162.921688368056 \tabularnewline
12 & 3013.24 & 2974.94055121528 & 2974.0675 & 0.873051215277894 & 38.2994487847218 \tabularnewline
13 & 2987.1 & 2988.27049913194 & 2967.84291666667 & 20.4275824652778 & -1.17049913194433 \tabularnewline
14 & 2995.55 & 2989.53971788195 & 2953.34666666667 & 36.1930512152779 & 6.01028211805487 \tabularnewline
15 & 2833.18 & 2912.55862413194 & 2925.06208333333 & -12.503459201389 & -79.3786241319444 \tabularnewline
16 & 2848.96 & 2977.93315538194 & 2890.36875 & 87.5644053819447 & -128.973155381945 \tabularnewline
17 & 2794.83 & 2932.69372829861 & 2854.75041666667 & 77.9433116319444 & -137.863728298612 \tabularnewline
18 & 2845.26 & 2826.67664496528 & 2820.35791666667 & 6.31872829861102 & 18.5833550347224 \tabularnewline
19 & 2915.02 & 2747.86549913194 & 2793.62625 & -45.7607508680556 & 167.154500868056 \tabularnewline
20 & 2892.63 & 2716.32503038194 & 2772.10458333333 & -55.7795529513891 & 176.304969618056 \tabularnewline
21 & 2604.42 & 2704.48909288194 & 2757.64 & -53.1509071180558 & -100.069092881944 \tabularnewline
22 & 2641.65 & 2721.38331163194 & 2752.02583333333 & -30.6425217013889 & -79.7333116319446 \tabularnewline
23 & 2659.81 & 2719.18206163195 & 2750.665 & -31.4829383680555 & -59.3720616319451 \tabularnewline
24 & 2638.53 & 2739.64721788194 & 2738.77416666667 & 0.873051215277894 & -101.117217881945 \tabularnewline
25 & 2720.25 & 2721.70091579861 & 2701.27333333333 & 20.4275824652778 & -1.45091579861037 \tabularnewline
26 & 2745.88 & 2683.81138454861 & 2647.61833333333 & 36.1930512152779 & 62.0686154513892 \tabularnewline
27 & 2735.7 & 2584.43612413194 & 2596.93958333333 & -12.503459201389 & 151.263875868056 \tabularnewline
28 & 2811.7 & 2632.84690538194 & 2545.2825 & 87.5644053819447 & 178.853094618056 \tabularnewline
29 & 2799.43 & 2568.26872829861 & 2490.32541666667 & 77.9433116319444 & 231.161271701389 \tabularnewline
30 & 2555.28 & 2444.10372829861 & 2437.785 & 6.31872829861102 & 111.176271701389 \tabularnewline
31 & 2304.98 & 2332.99924913194 & 2378.76 & -45.7607508680556 & -28.0192491319444 \tabularnewline
32 & 2214.95 & 2249.92128038194 & 2305.70083333333 & -55.7795529513891 & -34.9712803819448 \tabularnewline
33 & 2065.81 & 2165.86534288194 & 2219.01625 & -53.1509071180558 & -100.055342881944 \tabularnewline
34 & 1940.49 & 2101.75997829861 & 2132.4025 & -30.6425217013889 & -161.269978298611 \tabularnewline
35 & 2042 & 2023.11622829861 & 2054.59916666667 & -31.4829383680555 & 18.8837717013889 \tabularnewline
36 & 1995.37 & 1993.61346788194 & 1992.74041666667 & 0.873051215277894 & 1.75653211805547 \tabularnewline
37 & 1946.81 & 1974.37674913194 & 1953.94916666667 & 20.4275824652778 & -27.5667491319443 \tabularnewline
38 & 1765.9 & 1969.77055121528 & 1933.5775 & 36.1930512152779 & -203.870551215278 \tabularnewline
39 & 1635.25 & 1915.74612413194 & 1928.24958333333 & -12.503459201389 & -280.496124131944 \tabularnewline
40 & 1833.42 & 2024.39982204861 & 1936.83541666667 & 87.5644053819447 & -190.979822048611 \tabularnewline
41 & 1910.43 & 2027.81831163194 & 1949.875 & 77.9433116319444 & -117.388311631944 \tabularnewline
42 & 1959.67 & 1970.10664496528 & 1963.78791666667 & 6.31872829861102 & -10.4366449652771 \tabularnewline
43 & 1969.6 & 1943.23466579861 & 1988.99541666667 & -45.7607508680556 & 26.3653342013890 \tabularnewline
44 & 2061.41 & 1978.13169704861 & 2033.91125 & -55.7795529513891 & 83.2783029513892 \tabularnewline
45 & 2091.48 & 2041.08284288194 & 2094.23375 & -53.1509071180558 & 50.3971571180559 \tabularnewline
46 & 2120.88 & 2122.45706163194 & 2153.09958333333 & -30.6425217013889 & -1.57706163194371 \tabularnewline
47 & 2174.56 & 2168.97331163194 & 2200.45625 & -31.4829383680555 & 5.58668836805509 \tabularnewline
48 & 2196.72 & 2242.58430121528 & 2241.71125 & 0.873051215277894 & -45.8643012152775 \tabularnewline
49 & 2350.44 & 2302.61383246528 & 2282.18625 & 20.4275824652778 & 47.8261675347221 \tabularnewline
50 & 2440.25 & 2356.49930121528 & 2320.30625 & 36.1930512152779 & 83.7506987847223 \tabularnewline
51 & 2408.64 & 2349.07737413194 & 2361.58083333333 & -12.503459201389 & 59.5626258680559 \tabularnewline
52 & 2472.81 & 2498.73023871528 & 2411.16583333333 & 87.5644053819447 & -25.9202387152777 \tabularnewline
53 & 2407.6 & 2543.71706163194 & 2465.77375 & 77.9433116319444 & -136.117061631945 \tabularnewline
54 & 2452.62 & 2530.40206163194 & 2524.08333333333 & 6.31872829861102 & -77.7820616319445 \tabularnewline
55 & 2448.05 & 2534.82799913194 & 2580.58875 & -45.7607508680556 & -86.777999131944 \tabularnewline
56 & 2497.84 & 2577.79836371528 & 2633.57791666667 & -55.7795529513891 & -79.9583637152773 \tabularnewline
57 & 2645.64 & 2636.17325954861 & 2689.32416666667 & -53.1509071180558 & 9.46674045138889 \tabularnewline
58 & 2756.76 & 2714.68497829861 & 2745.3275 & -30.6425217013889 & 42.0750217013892 \tabularnewline
59 & 2849.27 & 2768.01789496528 & 2799.50083333333 & -31.4829383680555 & 81.2521050347227 \tabularnewline
60 & 2921.44 & 2854.47180121528 & 2853.59875 & 0.873051215277894 & 66.9681987847225 \tabularnewline
61 & 2981.85 & 2930.62341579861 & 2910.19583333333 & 20.4275824652778 & 51.2265842013894 \tabularnewline
62 & 3080.58 & 3007.76221788194 & 2971.56916666667 & 36.1930512152779 & 72.8177821180557 \tabularnewline
63 & 3106.22 & 3017.01112413194 & 3029.51458333333 & -12.503459201389 & 89.2088758680552 \tabularnewline
64 & 3119.31 & 3165.82607204861 & 3078.26166666667 & 87.5644053819447 & -46.516072048611 \tabularnewline
65 & 3061.26 & 3200.09164496528 & 3122.14833333333 & 77.9433116319444 & -138.831644965278 \tabularnewline
66 & 3097.31 & 3173.77747829861 & 3167.45875 & 6.31872829861102 & -76.4674782986108 \tabularnewline
67 & 3161.69 & 3174.11091579861 & 3219.87166666667 & -45.7607508680556 & -12.4209157986111 \tabularnewline
68 & 3257.16 & 3223.16128038194 & 3278.94083333333 & -55.7795529513891 & 33.9987196180559 \tabularnewline
69 & 3277.01 & 3290.13242621528 & 3343.28333333333 & -53.1509071180558 & -13.1224262152773 \tabularnewline
70 & 3295.32 & 3378.80497829861 & 3409.4475 & -30.6425217013889 & -83.4849782986107 \tabularnewline
71 & 3363.99 & 3441.13122829861 & 3472.61416666667 & -31.4829383680555 & -77.1412282986112 \tabularnewline
72 & 3494.17 & 3524.01263454861 & 3523.13958333333 & 0.873051215277894 & -29.8426345486114 \tabularnewline
73 & 3667.03 & 3585.76424913194 & 3565.33666666667 & 20.4275824652778 & 81.2657508680559 \tabularnewline
74 & 3813.06 & 3649.23930121528 & 3613.04625 & 36.1930512152779 & 163.820698784722 \tabularnewline
75 & 3917.96 & 3654.63445746528 & 3667.13791666667 & -12.503459201389 & 263.325542534722 \tabularnewline
76 & 3895.51 & 3818.71440538194 & 3731.15 & 87.5644053819447 & 76.7955946180555 \tabularnewline
77 & 3801.06 & 3879.04997829861 & 3801.10666666667 & 77.9433116319444 & -77.9899782986113 \tabularnewline
78 & 3570.12 & 3875.44539496528 & 3869.12666666667 & 6.31872829861102 & -305.325394965278 \tabularnewline
79 & 3701.61 & 3888.93258246528 & 3934.69333333333 & -45.7607508680556 & -187.322582465278 \tabularnewline
80 & 3862.27 & 3940.01628038194 & 3995.79583333333 & -55.7795529513891 & -77.7462803819449 \tabularnewline
81 & 3970.1 & 3989.66992621528 & 4042.82083333333 & -53.1509071180558 & -19.5699262152780 \tabularnewline
82 & 4138.52 & 4059.46081163194 & 4090.10333333333 & -30.6425217013889 & 79.0591883680563 \tabularnewline
83 & 4199.75 & 4124.93956163194 & 4156.4225 & -31.4829383680555 & 74.8104383680557 \tabularnewline
84 & 4290.89 & 4238.42805121528 & 4237.555 & 0.873051215277894 & 52.4619487847231 \tabularnewline
85 & 4443.91 & 4337.67049913194 & 4317.24291666667 & 20.4275824652778 & 106.239500868056 \tabularnewline
86 & 4502.64 & 4403.49763454861 & 4367.30458333333 & 36.1930512152779 & 99.14236545139 \tabularnewline
87 & 4356.98 & 4382.57779079861 & 4395.08125 & -12.503459201389 & -25.5977907986116 \tabularnewline
88 & 4591.27 & 4508.60815538194 & 4421.04375 & 87.5644053819447 & 82.6618446180555 \tabularnewline
89 & 4696.96 & 4507.40956163194 & 4429.46625 & 77.9433116319444 & 189.550438368056 \tabularnewline
90 & 4621.4 & 4424.58581163195 & 4418.26708333333 & 6.31872829861102 & 196.814188368055 \tabularnewline
91 & 4562.84 & 4340.27174913194 & 4386.0325 & -45.7607508680556 & 222.568250868057 \tabularnewline
92 & 4202.52 & 4272.70794704861 & 4328.4875 & -55.7795529513891 & -70.187947048611 \tabularnewline
93 & 4296.49 & 4214.32659288194 & 4267.4775 & -53.1509071180558 & 82.1634071180551 \tabularnewline
94 & 4435.23 & 4177.82539496528 & 4208.46791666667 & -30.6425217013889 & 257.404605034721 \tabularnewline
95 & 4105.18 & 4109.08706163195 & 4140.57 & -31.4829383680555 & -3.907061631945 \tabularnewline
96 & 4116.68 & 4057.57096788194 & 4056.69791666667 & 0.873051215277894 & 59.1090321180554 \tabularnewline
97 & 3844.49 & 3966.82258246528 & 3946.395 & 20.4275824652778 & -122.332582465278 \tabularnewline
98 & 3720.98 & 3870.68263454861 & 3834.48958333333 & 36.1930512152779 & -149.702634548612 \tabularnewline
99 & 3674.4 & 3718.25112413194 & 3730.75458333333 & -12.503459201389 & -43.8511241319443 \tabularnewline
100 & 3857.62 & 3669.50398871528 & 3581.93958333333 & 87.5644053819447 & 188.116011284722 \tabularnewline
101 & 3801.06 & 3479.54372829861 & 3401.60041666667 & 77.9433116319444 & 321.516271701389 \tabularnewline
102 & 3504.37 & 3226.89497829861 & 3220.57625 & 6.31872829861102 & 277.47502170139 \tabularnewline
103 & 3032.6 & 3000.11008246528 & 3045.87083333333 & -45.7607508680556 & 32.4899175347227 \tabularnewline
104 & 3047.03 & NA & NA & -55.7795529513891 & NA \tabularnewline
105 & 2962.34 & NA & NA & -53.1509071180558 & NA \tabularnewline
106 & 2197.82 & NA & NA & -30.6425217013889 & NA \tabularnewline
107 & 2014.45 & NA & NA & -31.4829383680555 & NA \tabularnewline
108 & 1862.83 & NA & NA & 0.873051215277894 & NA \tabularnewline
109 & 1905.41 & NA & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40860&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]3030.29[/C][C]NA[/C][C]NA[/C][C]20.4275824652778[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]2803.47[/C][C]NA[/C][C]NA[/C][C]36.1930512152779[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]2767.63[/C][C]NA[/C][C]NA[/C][C]-12.503459201389[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]2882.6[/C][C]NA[/C][C]NA[/C][C]87.5644053819447[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]2863.36[/C][C]NA[/C][C]NA[/C][C]77.9433116319444[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]2897.06[/C][C]NA[/C][C]NA[/C][C]6.31872829861102[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]3012.61[/C][C]2919.30966579861[/C][C]2965.07041666667[/C][C]-45.7607508680556[/C][C]93.3003342013894[/C][/ROW]
[ROW][C]8[/C][C]3142.95[/C][C]2915.49461371528[/C][C]2971.27416666667[/C][C]-55.7795529513891[/C][C]227.455386284722[/C][/ROW]
[ROW][C]9[/C][C]3032.93[/C][C]2928.85784288194[/C][C]2982.00875[/C][C]-53.1509071180558[/C][C]104.072157118056[/C][/ROW]
[ROW][C]10[/C][C]3045.78[/C][C]2952.69581163194[/C][C]2983.33833333333[/C][C]-30.6425217013889[/C][C]93.0841883680564[/C][/ROW]
[ROW][C]11[/C][C]3110.52[/C][C]2947.59831163194[/C][C]2979.08125[/C][C]-31.4829383680555[/C][C]162.921688368056[/C][/ROW]
[ROW][C]12[/C][C]3013.24[/C][C]2974.94055121528[/C][C]2974.0675[/C][C]0.873051215277894[/C][C]38.2994487847218[/C][/ROW]
[ROW][C]13[/C][C]2987.1[/C][C]2988.27049913194[/C][C]2967.84291666667[/C][C]20.4275824652778[/C][C]-1.17049913194433[/C][/ROW]
[ROW][C]14[/C][C]2995.55[/C][C]2989.53971788195[/C][C]2953.34666666667[/C][C]36.1930512152779[/C][C]6.01028211805487[/C][/ROW]
[ROW][C]15[/C][C]2833.18[/C][C]2912.55862413194[/C][C]2925.06208333333[/C][C]-12.503459201389[/C][C]-79.3786241319444[/C][/ROW]
[ROW][C]16[/C][C]2848.96[/C][C]2977.93315538194[/C][C]2890.36875[/C][C]87.5644053819447[/C][C]-128.973155381945[/C][/ROW]
[ROW][C]17[/C][C]2794.83[/C][C]2932.69372829861[/C][C]2854.75041666667[/C][C]77.9433116319444[/C][C]-137.863728298612[/C][/ROW]
[ROW][C]18[/C][C]2845.26[/C][C]2826.67664496528[/C][C]2820.35791666667[/C][C]6.31872829861102[/C][C]18.5833550347224[/C][/ROW]
[ROW][C]19[/C][C]2915.02[/C][C]2747.86549913194[/C][C]2793.62625[/C][C]-45.7607508680556[/C][C]167.154500868056[/C][/ROW]
[ROW][C]20[/C][C]2892.63[/C][C]2716.32503038194[/C][C]2772.10458333333[/C][C]-55.7795529513891[/C][C]176.304969618056[/C][/ROW]
[ROW][C]21[/C][C]2604.42[/C][C]2704.48909288194[/C][C]2757.64[/C][C]-53.1509071180558[/C][C]-100.069092881944[/C][/ROW]
[ROW][C]22[/C][C]2641.65[/C][C]2721.38331163194[/C][C]2752.02583333333[/C][C]-30.6425217013889[/C][C]-79.7333116319446[/C][/ROW]
[ROW][C]23[/C][C]2659.81[/C][C]2719.18206163195[/C][C]2750.665[/C][C]-31.4829383680555[/C][C]-59.3720616319451[/C][/ROW]
[ROW][C]24[/C][C]2638.53[/C][C]2739.64721788194[/C][C]2738.77416666667[/C][C]0.873051215277894[/C][C]-101.117217881945[/C][/ROW]
[ROW][C]25[/C][C]2720.25[/C][C]2721.70091579861[/C][C]2701.27333333333[/C][C]20.4275824652778[/C][C]-1.45091579861037[/C][/ROW]
[ROW][C]26[/C][C]2745.88[/C][C]2683.81138454861[/C][C]2647.61833333333[/C][C]36.1930512152779[/C][C]62.0686154513892[/C][/ROW]
[ROW][C]27[/C][C]2735.7[/C][C]2584.43612413194[/C][C]2596.93958333333[/C][C]-12.503459201389[/C][C]151.263875868056[/C][/ROW]
[ROW][C]28[/C][C]2811.7[/C][C]2632.84690538194[/C][C]2545.2825[/C][C]87.5644053819447[/C][C]178.853094618056[/C][/ROW]
[ROW][C]29[/C][C]2799.43[/C][C]2568.26872829861[/C][C]2490.32541666667[/C][C]77.9433116319444[/C][C]231.161271701389[/C][/ROW]
[ROW][C]30[/C][C]2555.28[/C][C]2444.10372829861[/C][C]2437.785[/C][C]6.31872829861102[/C][C]111.176271701389[/C][/ROW]
[ROW][C]31[/C][C]2304.98[/C][C]2332.99924913194[/C][C]2378.76[/C][C]-45.7607508680556[/C][C]-28.0192491319444[/C][/ROW]
[ROW][C]32[/C][C]2214.95[/C][C]2249.92128038194[/C][C]2305.70083333333[/C][C]-55.7795529513891[/C][C]-34.9712803819448[/C][/ROW]
[ROW][C]33[/C][C]2065.81[/C][C]2165.86534288194[/C][C]2219.01625[/C][C]-53.1509071180558[/C][C]-100.055342881944[/C][/ROW]
[ROW][C]34[/C][C]1940.49[/C][C]2101.75997829861[/C][C]2132.4025[/C][C]-30.6425217013889[/C][C]-161.269978298611[/C][/ROW]
[ROW][C]35[/C][C]2042[/C][C]2023.11622829861[/C][C]2054.59916666667[/C][C]-31.4829383680555[/C][C]18.8837717013889[/C][/ROW]
[ROW][C]36[/C][C]1995.37[/C][C]1993.61346788194[/C][C]1992.74041666667[/C][C]0.873051215277894[/C][C]1.75653211805547[/C][/ROW]
[ROW][C]37[/C][C]1946.81[/C][C]1974.37674913194[/C][C]1953.94916666667[/C][C]20.4275824652778[/C][C]-27.5667491319443[/C][/ROW]
[ROW][C]38[/C][C]1765.9[/C][C]1969.77055121528[/C][C]1933.5775[/C][C]36.1930512152779[/C][C]-203.870551215278[/C][/ROW]
[ROW][C]39[/C][C]1635.25[/C][C]1915.74612413194[/C][C]1928.24958333333[/C][C]-12.503459201389[/C][C]-280.496124131944[/C][/ROW]
[ROW][C]40[/C][C]1833.42[/C][C]2024.39982204861[/C][C]1936.83541666667[/C][C]87.5644053819447[/C][C]-190.979822048611[/C][/ROW]
[ROW][C]41[/C][C]1910.43[/C][C]2027.81831163194[/C][C]1949.875[/C][C]77.9433116319444[/C][C]-117.388311631944[/C][/ROW]
[ROW][C]42[/C][C]1959.67[/C][C]1970.10664496528[/C][C]1963.78791666667[/C][C]6.31872829861102[/C][C]-10.4366449652771[/C][/ROW]
[ROW][C]43[/C][C]1969.6[/C][C]1943.23466579861[/C][C]1988.99541666667[/C][C]-45.7607508680556[/C][C]26.3653342013890[/C][/ROW]
[ROW][C]44[/C][C]2061.41[/C][C]1978.13169704861[/C][C]2033.91125[/C][C]-55.7795529513891[/C][C]83.2783029513892[/C][/ROW]
[ROW][C]45[/C][C]2091.48[/C][C]2041.08284288194[/C][C]2094.23375[/C][C]-53.1509071180558[/C][C]50.3971571180559[/C][/ROW]
[ROW][C]46[/C][C]2120.88[/C][C]2122.45706163194[/C][C]2153.09958333333[/C][C]-30.6425217013889[/C][C]-1.57706163194371[/C][/ROW]
[ROW][C]47[/C][C]2174.56[/C][C]2168.97331163194[/C][C]2200.45625[/C][C]-31.4829383680555[/C][C]5.58668836805509[/C][/ROW]
[ROW][C]48[/C][C]2196.72[/C][C]2242.58430121528[/C][C]2241.71125[/C][C]0.873051215277894[/C][C]-45.8643012152775[/C][/ROW]
[ROW][C]49[/C][C]2350.44[/C][C]2302.61383246528[/C][C]2282.18625[/C][C]20.4275824652778[/C][C]47.8261675347221[/C][/ROW]
[ROW][C]50[/C][C]2440.25[/C][C]2356.49930121528[/C][C]2320.30625[/C][C]36.1930512152779[/C][C]83.7506987847223[/C][/ROW]
[ROW][C]51[/C][C]2408.64[/C][C]2349.07737413194[/C][C]2361.58083333333[/C][C]-12.503459201389[/C][C]59.5626258680559[/C][/ROW]
[ROW][C]52[/C][C]2472.81[/C][C]2498.73023871528[/C][C]2411.16583333333[/C][C]87.5644053819447[/C][C]-25.9202387152777[/C][/ROW]
[ROW][C]53[/C][C]2407.6[/C][C]2543.71706163194[/C][C]2465.77375[/C][C]77.9433116319444[/C][C]-136.117061631945[/C][/ROW]
[ROW][C]54[/C][C]2452.62[/C][C]2530.40206163194[/C][C]2524.08333333333[/C][C]6.31872829861102[/C][C]-77.7820616319445[/C][/ROW]
[ROW][C]55[/C][C]2448.05[/C][C]2534.82799913194[/C][C]2580.58875[/C][C]-45.7607508680556[/C][C]-86.777999131944[/C][/ROW]
[ROW][C]56[/C][C]2497.84[/C][C]2577.79836371528[/C][C]2633.57791666667[/C][C]-55.7795529513891[/C][C]-79.9583637152773[/C][/ROW]
[ROW][C]57[/C][C]2645.64[/C][C]2636.17325954861[/C][C]2689.32416666667[/C][C]-53.1509071180558[/C][C]9.46674045138889[/C][/ROW]
[ROW][C]58[/C][C]2756.76[/C][C]2714.68497829861[/C][C]2745.3275[/C][C]-30.6425217013889[/C][C]42.0750217013892[/C][/ROW]
[ROW][C]59[/C][C]2849.27[/C][C]2768.01789496528[/C][C]2799.50083333333[/C][C]-31.4829383680555[/C][C]81.2521050347227[/C][/ROW]
[ROW][C]60[/C][C]2921.44[/C][C]2854.47180121528[/C][C]2853.59875[/C][C]0.873051215277894[/C][C]66.9681987847225[/C][/ROW]
[ROW][C]61[/C][C]2981.85[/C][C]2930.62341579861[/C][C]2910.19583333333[/C][C]20.4275824652778[/C][C]51.2265842013894[/C][/ROW]
[ROW][C]62[/C][C]3080.58[/C][C]3007.76221788194[/C][C]2971.56916666667[/C][C]36.1930512152779[/C][C]72.8177821180557[/C][/ROW]
[ROW][C]63[/C][C]3106.22[/C][C]3017.01112413194[/C][C]3029.51458333333[/C][C]-12.503459201389[/C][C]89.2088758680552[/C][/ROW]
[ROW][C]64[/C][C]3119.31[/C][C]3165.82607204861[/C][C]3078.26166666667[/C][C]87.5644053819447[/C][C]-46.516072048611[/C][/ROW]
[ROW][C]65[/C][C]3061.26[/C][C]3200.09164496528[/C][C]3122.14833333333[/C][C]77.9433116319444[/C][C]-138.831644965278[/C][/ROW]
[ROW][C]66[/C][C]3097.31[/C][C]3173.77747829861[/C][C]3167.45875[/C][C]6.31872829861102[/C][C]-76.4674782986108[/C][/ROW]
[ROW][C]67[/C][C]3161.69[/C][C]3174.11091579861[/C][C]3219.87166666667[/C][C]-45.7607508680556[/C][C]-12.4209157986111[/C][/ROW]
[ROW][C]68[/C][C]3257.16[/C][C]3223.16128038194[/C][C]3278.94083333333[/C][C]-55.7795529513891[/C][C]33.9987196180559[/C][/ROW]
[ROW][C]69[/C][C]3277.01[/C][C]3290.13242621528[/C][C]3343.28333333333[/C][C]-53.1509071180558[/C][C]-13.1224262152773[/C][/ROW]
[ROW][C]70[/C][C]3295.32[/C][C]3378.80497829861[/C][C]3409.4475[/C][C]-30.6425217013889[/C][C]-83.4849782986107[/C][/ROW]
[ROW][C]71[/C][C]3363.99[/C][C]3441.13122829861[/C][C]3472.61416666667[/C][C]-31.4829383680555[/C][C]-77.1412282986112[/C][/ROW]
[ROW][C]72[/C][C]3494.17[/C][C]3524.01263454861[/C][C]3523.13958333333[/C][C]0.873051215277894[/C][C]-29.8426345486114[/C][/ROW]
[ROW][C]73[/C][C]3667.03[/C][C]3585.76424913194[/C][C]3565.33666666667[/C][C]20.4275824652778[/C][C]81.2657508680559[/C][/ROW]
[ROW][C]74[/C][C]3813.06[/C][C]3649.23930121528[/C][C]3613.04625[/C][C]36.1930512152779[/C][C]163.820698784722[/C][/ROW]
[ROW][C]75[/C][C]3917.96[/C][C]3654.63445746528[/C][C]3667.13791666667[/C][C]-12.503459201389[/C][C]263.325542534722[/C][/ROW]
[ROW][C]76[/C][C]3895.51[/C][C]3818.71440538194[/C][C]3731.15[/C][C]87.5644053819447[/C][C]76.7955946180555[/C][/ROW]
[ROW][C]77[/C][C]3801.06[/C][C]3879.04997829861[/C][C]3801.10666666667[/C][C]77.9433116319444[/C][C]-77.9899782986113[/C][/ROW]
[ROW][C]78[/C][C]3570.12[/C][C]3875.44539496528[/C][C]3869.12666666667[/C][C]6.31872829861102[/C][C]-305.325394965278[/C][/ROW]
[ROW][C]79[/C][C]3701.61[/C][C]3888.93258246528[/C][C]3934.69333333333[/C][C]-45.7607508680556[/C][C]-187.322582465278[/C][/ROW]
[ROW][C]80[/C][C]3862.27[/C][C]3940.01628038194[/C][C]3995.79583333333[/C][C]-55.7795529513891[/C][C]-77.7462803819449[/C][/ROW]
[ROW][C]81[/C][C]3970.1[/C][C]3989.66992621528[/C][C]4042.82083333333[/C][C]-53.1509071180558[/C][C]-19.5699262152780[/C][/ROW]
[ROW][C]82[/C][C]4138.52[/C][C]4059.46081163194[/C][C]4090.10333333333[/C][C]-30.6425217013889[/C][C]79.0591883680563[/C][/ROW]
[ROW][C]83[/C][C]4199.75[/C][C]4124.93956163194[/C][C]4156.4225[/C][C]-31.4829383680555[/C][C]74.8104383680557[/C][/ROW]
[ROW][C]84[/C][C]4290.89[/C][C]4238.42805121528[/C][C]4237.555[/C][C]0.873051215277894[/C][C]52.4619487847231[/C][/ROW]
[ROW][C]85[/C][C]4443.91[/C][C]4337.67049913194[/C][C]4317.24291666667[/C][C]20.4275824652778[/C][C]106.239500868056[/C][/ROW]
[ROW][C]86[/C][C]4502.64[/C][C]4403.49763454861[/C][C]4367.30458333333[/C][C]36.1930512152779[/C][C]99.14236545139[/C][/ROW]
[ROW][C]87[/C][C]4356.98[/C][C]4382.57779079861[/C][C]4395.08125[/C][C]-12.503459201389[/C][C]-25.5977907986116[/C][/ROW]
[ROW][C]88[/C][C]4591.27[/C][C]4508.60815538194[/C][C]4421.04375[/C][C]87.5644053819447[/C][C]82.6618446180555[/C][/ROW]
[ROW][C]89[/C][C]4696.96[/C][C]4507.40956163194[/C][C]4429.46625[/C][C]77.9433116319444[/C][C]189.550438368056[/C][/ROW]
[ROW][C]90[/C][C]4621.4[/C][C]4424.58581163195[/C][C]4418.26708333333[/C][C]6.31872829861102[/C][C]196.814188368055[/C][/ROW]
[ROW][C]91[/C][C]4562.84[/C][C]4340.27174913194[/C][C]4386.0325[/C][C]-45.7607508680556[/C][C]222.568250868057[/C][/ROW]
[ROW][C]92[/C][C]4202.52[/C][C]4272.70794704861[/C][C]4328.4875[/C][C]-55.7795529513891[/C][C]-70.187947048611[/C][/ROW]
[ROW][C]93[/C][C]4296.49[/C][C]4214.32659288194[/C][C]4267.4775[/C][C]-53.1509071180558[/C][C]82.1634071180551[/C][/ROW]
[ROW][C]94[/C][C]4435.23[/C][C]4177.82539496528[/C][C]4208.46791666667[/C][C]-30.6425217013889[/C][C]257.404605034721[/C][/ROW]
[ROW][C]95[/C][C]4105.18[/C][C]4109.08706163195[/C][C]4140.57[/C][C]-31.4829383680555[/C][C]-3.907061631945[/C][/ROW]
[ROW][C]96[/C][C]4116.68[/C][C]4057.57096788194[/C][C]4056.69791666667[/C][C]0.873051215277894[/C][C]59.1090321180554[/C][/ROW]
[ROW][C]97[/C][C]3844.49[/C][C]3966.82258246528[/C][C]3946.395[/C][C]20.4275824652778[/C][C]-122.332582465278[/C][/ROW]
[ROW][C]98[/C][C]3720.98[/C][C]3870.68263454861[/C][C]3834.48958333333[/C][C]36.1930512152779[/C][C]-149.702634548612[/C][/ROW]
[ROW][C]99[/C][C]3674.4[/C][C]3718.25112413194[/C][C]3730.75458333333[/C][C]-12.503459201389[/C][C]-43.8511241319443[/C][/ROW]
[ROW][C]100[/C][C]3857.62[/C][C]3669.50398871528[/C][C]3581.93958333333[/C][C]87.5644053819447[/C][C]188.116011284722[/C][/ROW]
[ROW][C]101[/C][C]3801.06[/C][C]3479.54372829861[/C][C]3401.60041666667[/C][C]77.9433116319444[/C][C]321.516271701389[/C][/ROW]
[ROW][C]102[/C][C]3504.37[/C][C]3226.89497829861[/C][C]3220.57625[/C][C]6.31872829861102[/C][C]277.47502170139[/C][/ROW]
[ROW][C]103[/C][C]3032.6[/C][C]3000.11008246528[/C][C]3045.87083333333[/C][C]-45.7607508680556[/C][C]32.4899175347227[/C][/ROW]
[ROW][C]104[/C][C]3047.03[/C][C]NA[/C][C]NA[/C][C]-55.7795529513891[/C][C]NA[/C][/ROW]
[ROW][C]105[/C][C]2962.34[/C][C]NA[/C][C]NA[/C][C]-53.1509071180558[/C][C]NA[/C][/ROW]
[ROW][C]106[/C][C]2197.82[/C][C]NA[/C][C]NA[/C][C]-30.6425217013889[/C][C]NA[/C][/ROW]
[ROW][C]107[/C][C]2014.45[/C][C]NA[/C][C]NA[/C][C]-31.4829383680555[/C][C]NA[/C][/ROW]
[ROW][C]108[/C][C]1862.83[/C][C]NA[/C][C]NA[/C][C]0.873051215277894[/C][C]NA[/C][/ROW]
[ROW][C]109[/C][C]1905.41[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40860&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40860&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
13030.29NANA20.4275824652778NA
22803.47NANA36.1930512152779NA
32767.63NANA-12.503459201389NA
42882.6NANA87.5644053819447NA
52863.36NANA77.9433116319444NA
62897.06NANA6.31872829861102NA
73012.612919.309665798612965.07041666667-45.760750868055693.3003342013894
83142.952915.494613715282971.27416666667-55.7795529513891227.455386284722
93032.932928.857842881942982.00875-53.1509071180558104.072157118056
103045.782952.695811631942983.33833333333-30.642521701388993.0841883680564
113110.522947.598311631942979.08125-31.4829383680555162.921688368056
123013.242974.940551215282974.06750.87305121527789438.2994487847218
132987.12988.270499131942967.8429166666720.4275824652778-1.17049913194433
142995.552989.539717881952953.3466666666736.19305121527796.01028211805487
152833.182912.558624131942925.06208333333-12.503459201389-79.3786241319444
162848.962977.933155381942890.3687587.5644053819447-128.973155381945
172794.832932.693728298612854.7504166666777.9433116319444-137.863728298612
182845.262826.676644965282820.357916666676.3187282986110218.5833550347224
192915.022747.865499131942793.62625-45.7607508680556167.154500868056
202892.632716.325030381942772.10458333333-55.7795529513891176.304969618056
212604.422704.489092881942757.64-53.1509071180558-100.069092881944
222641.652721.383311631942752.02583333333-30.6425217013889-79.7333116319446
232659.812719.182061631952750.665-31.4829383680555-59.3720616319451
242638.532739.647217881942738.774166666670.873051215277894-101.117217881945
252720.252721.700915798612701.2733333333320.4275824652778-1.45091579861037
262745.882683.811384548612647.6183333333336.193051215277962.0686154513892
272735.72584.436124131942596.93958333333-12.503459201389151.263875868056
282811.72632.846905381942545.282587.5644053819447178.853094618056
292799.432568.268728298612490.3254166666777.9433116319444231.161271701389
302555.282444.103728298612437.7856.31872829861102111.176271701389
312304.982332.999249131942378.76-45.7607508680556-28.0192491319444
322214.952249.921280381942305.70083333333-55.7795529513891-34.9712803819448
332065.812165.865342881942219.01625-53.1509071180558-100.055342881944
341940.492101.759978298612132.4025-30.6425217013889-161.269978298611
3520422023.116228298612054.59916666667-31.482938368055518.8837717013889
361995.371993.613467881941992.740416666670.8730512152778941.75653211805547
371946.811974.376749131941953.9491666666720.4275824652778-27.5667491319443
381765.91969.770551215281933.577536.1930512152779-203.870551215278
391635.251915.746124131941928.24958333333-12.503459201389-280.496124131944
401833.422024.399822048611936.8354166666787.5644053819447-190.979822048611
411910.432027.818311631941949.87577.9433116319444-117.388311631944
421959.671970.106644965281963.787916666676.31872829861102-10.4366449652771
431969.61943.234665798611988.99541666667-45.760750868055626.3653342013890
442061.411978.131697048612033.91125-55.779552951389183.2783029513892
452091.482041.082842881942094.23375-53.150907118055850.3971571180559
462120.882122.457061631942153.09958333333-30.6425217013889-1.57706163194371
472174.562168.973311631942200.45625-31.48293836805555.58668836805509
482196.722242.584301215282241.711250.873051215277894-45.8643012152775
492350.442302.613832465282282.1862520.427582465277847.8261675347221
502440.252356.499301215282320.3062536.193051215277983.7506987847223
512408.642349.077374131942361.58083333333-12.50345920138959.5626258680559
522472.812498.730238715282411.1658333333387.5644053819447-25.9202387152777
532407.62543.717061631942465.7737577.9433116319444-136.117061631945
542452.622530.402061631942524.083333333336.31872829861102-77.7820616319445
552448.052534.827999131942580.58875-45.7607508680556-86.777999131944
562497.842577.798363715282633.57791666667-55.7795529513891-79.9583637152773
572645.642636.173259548612689.32416666667-53.15090711805589.46674045138889
582756.762714.684978298612745.3275-30.642521701388942.0750217013892
592849.272768.017894965282799.50083333333-31.482938368055581.2521050347227
602921.442854.471801215282853.598750.87305121527789466.9681987847225
612981.852930.623415798612910.1958333333320.427582465277851.2265842013894
623080.583007.762217881942971.5691666666736.193051215277972.8177821180557
633106.223017.011124131943029.51458333333-12.50345920138989.2088758680552
643119.313165.826072048613078.2616666666787.5644053819447-46.516072048611
653061.263200.091644965283122.1483333333377.9433116319444-138.831644965278
663097.313173.777478298613167.458756.31872829861102-76.4674782986108
673161.693174.110915798613219.87166666667-45.7607508680556-12.4209157986111
683257.163223.161280381943278.94083333333-55.779552951389133.9987196180559
693277.013290.132426215283343.28333333333-53.1509071180558-13.1224262152773
703295.323378.804978298613409.4475-30.6425217013889-83.4849782986107
713363.993441.131228298613472.61416666667-31.4829383680555-77.1412282986112
723494.173524.012634548613523.139583333330.873051215277894-29.8426345486114
733667.033585.764249131943565.3366666666720.427582465277881.2657508680559
743813.063649.239301215283613.0462536.1930512152779163.820698784722
753917.963654.634457465283667.13791666667-12.503459201389263.325542534722
763895.513818.714405381943731.1587.564405381944776.7955946180555
773801.063879.049978298613801.1066666666777.9433116319444-77.9899782986113
783570.123875.445394965283869.126666666676.31872829861102-305.325394965278
793701.613888.932582465283934.69333333333-45.7607508680556-187.322582465278
803862.273940.016280381943995.79583333333-55.7795529513891-77.7462803819449
813970.13989.669926215284042.82083333333-53.1509071180558-19.5699262152780
824138.524059.460811631944090.10333333333-30.642521701388979.0591883680563
834199.754124.939561631944156.4225-31.482938368055574.8104383680557
844290.894238.428051215284237.5550.87305121527789452.4619487847231
854443.914337.670499131944317.2429166666720.4275824652778106.239500868056
864502.644403.497634548614367.3045833333336.193051215277999.14236545139
874356.984382.577790798614395.08125-12.503459201389-25.5977907986116
884591.274508.608155381944421.0437587.564405381944782.6618446180555
894696.964507.409561631944429.4662577.9433116319444189.550438368056
904621.44424.585811631954418.267083333336.31872829861102196.814188368055
914562.844340.271749131944386.0325-45.7607508680556222.568250868057
924202.524272.707947048614328.4875-55.7795529513891-70.187947048611
934296.494214.326592881944267.4775-53.150907118055882.1634071180551
944435.234177.825394965284208.46791666667-30.6425217013889257.404605034721
954105.184109.087061631954140.57-31.4829383680555-3.907061631945
964116.684057.570967881944056.697916666670.87305121527789459.1090321180554
973844.493966.822582465283946.39520.4275824652778-122.332582465278
983720.983870.682634548613834.4895833333336.1930512152779-149.702634548612
993674.43718.251124131943730.75458333333-12.503459201389-43.8511241319443
1003857.623669.503988715283581.9395833333387.5644053819447188.116011284722
1013801.063479.543728298613401.6004166666777.9433116319444321.516271701389
1023504.373226.894978298613220.576256.31872829861102277.47502170139
1033032.63000.110082465283045.87083333333-45.760750868055632.4899175347227
1043047.03NANA-55.7795529513891NA
1052962.34NANA-53.1509071180558NA
1062197.82NANA-30.6425217013889NA
1072014.45NANA-31.4829383680555NA
1081862.83NANA0.873051215277894NA
1091905.41NANANANA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = additive ; par2 = 12 ;
Parameters (R input):
par1 = additive ; 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')