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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationSat, 17 Dec 2011 11:03:14 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/17/t1324137836cclby90kauf2z6k.htm/, Retrieved Wed, 24 Apr 2024 13:13:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156429, Retrieved Wed, 24 Apr 2024 13:13:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [Deel 2 Classical ...] [2011-12-17 16:03:14] [fd45a0bdad9cb518cfd91b75ef7bafe6] [Current]
- R       [Classical Decomposition] [Classical Decompo...] [2011-12-21 14:28:46] [3e69114d76a3312df18b1cf403d3c20a]
- RMP     [Decomposition by Loess] [Decomposition by ...] [2011-12-21 16:30:41] [3e69114d76a3312df18b1cf403d3c20a]
- RMP     [Structural Time Series Models] [Structural Time S...] [2011-12-21 16:32:14] [3e69114d76a3312df18b1cf403d3c20a]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
183.046
175.714
175.768
171.029
170.465
170.102
156.389
124.291
99.360
86.675
85.056
128.236
164.257
162.401
152.779
156.005
153.387
153.190
148.840
144.211
145.953
145.542
150.271
147.489
143.824
134.754
131.736
126.304
125.511
125.495
130.133
126.257
110.323
98.417
105.749
120.665
124.075
127.245
146.731
144.979
148.210
144.670
142.970
142.524
146.142
146.522
148.128
148.798
150.181
152.388
155.694
160.662
155.520
158.262
154.338
158.196
160.371
154.856
150.636
145.899
141.242
140.834
141.119
139.104
134.437
129.425
123.155
119.273
120.472
121.523
121.983
123.658
124.794
124.827
120.382
117.395
115.790
114.283
117.271
117.448
118.764
120.550
123.554
125.412
124.182
119.828
115.361
114.226
115.214
115.864
114.276
113.469
114.883
114.172
111.225
112.149
115.618
118.002
121.382
120.663
128.049

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156429&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156429&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156429&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
1183.046NANA4.16967708333333NA
2175.714NANA3.0164806547619NA
3175.768NANA3.2063556547619NA
4171.029NANA2.21785565476191NA
5170.465NANA0.383272321428575NA
6170.102NANA-0.659596726190474NA
7156.389141.329052083333143.061375-1.7323229166666715.0599479166667
8124.291139.173123511905141.723791666667-2.55066815476191-14.8821235119047
999.36137.473135416667140.211208333333-2.73807291666666-38.1131354166667
1086.675134.097087797619138.627333333333-4.5302455357143-47.422087797619
1185.056134.544123511905137.28975-2.74562648809524-49.4881235119048
12128.236137.836391369048135.87351.96289136904762-9.60039136904764
13164.257139.02396875134.8542916666674.1696770833333325.23303125
14162.401138.386230654762135.369753.016480654761924.0147693452381
15152.779141.347480654762138.1411253.206355654761911.4315193452381
16156.005144.753147321429142.5352916666672.2178556547619111.2518526785714
17153.387148.088647321429147.7053750.3832723214285755.29835267857143
18153.19150.56527827381151.224875-0.6595967261904742.62472172619047
19148.84149.443385416667151.175708333333-1.73232291666667-0.60338541666664
20144.211146.621706845238149.172375-2.55066815476191-2.41070684523808
21145.953144.405552083333147.143625-2.738072916666661.54744791666667
22145.542140.499046130952145.029291666667-4.53024553571435.04295386904764
23150.271139.884623511905142.63025-2.7456264880952410.3863764880952
24147.489142.277683035714140.3147916666671.962891369047625.21131696428574
25143.824142.551052083333138.3813754.169677083333331.27294791666668
26134.754139.870313988095136.8538333333333.0164806547619-5.11631398809524
27131.736137.827522321429134.6211666666673.2063556547619-6.09152232142856
28126.304133.390897321429131.1730416666672.21785565476191-7.08689732142855
29125.511127.737688988095127.3544166666670.383272321428575-2.22668898809525
30125.495123.722069940476124.381666666667-0.6595967261904741.77293005952382
31130.133120.708802083333122.441125-1.732322916666679.4241979166667
32126.257118.754706845238121.305375-2.550668154761917.50229315476192
33110.323118.87921875121.617291666667-2.73807291666666-8.55621874999999
3498.417118.489962797619123.020208333333-4.5302455357143-20.072962797619
35105.749121.998498511905124.744125-2.74562648809524-16.2494985119047
36120.665128.451766369048126.4888751.96289136904762-7.78676636904761
37124.075131.992385416667127.8227083333334.16967708333333-7.91738541666666
38127.245132.051855654762129.0353753.0164806547619-4.80685565476192
39146.731134.411980654762131.2056253.206355654761912.3190193452381
40144.979136.920313988095134.7024583333332.217855654761918.05868601190477
41148.21138.855897321429138.4726250.3832723214285759.35410267857148
42144.67140.751028273809141.410625-0.6595967261904743.91897172619051
43142.97141.938260416667143.670583333333-1.732322916666671.03173958333338
44142.524143.255290178571145.805958333333-2.55066815476191-0.731290178571413
45146.142144.48896875147.227041666667-2.738072916666661.65303125000003
46146.522143.723712797619148.253958333333-4.53024553571432.79828720238098
47148.128146.466373511905149.212-2.745626488095241.66162648809524
48148.798152.045808035714150.0829166666671.96289136904762-3.24780803571426
49150.181155.29259375151.1229166666674.16967708333333-5.11159375
50152.388155.266063988095152.2495833333333.0164806547619-2.87806398809519
51155.694156.701813988095153.4954583333333.2063556547619-1.00781398809519
52160.662156.653438988095154.4355833333332.217855654761914.00856101190479
53155.52155.270605654762154.8873333333330.3832723214285750.24939434523813
54158.262154.211444940476154.871041666667-0.6595967261904744.05055505952382
55154.338152.64546875154.377791666667-1.732322916666671.69253125
56158.196150.973248511905153.523916666667-2.550668154761917.22275148809524
57160.371149.697135416667152.435208333333-2.7380729166666610.6738645833334
58154.856146.399421130952150.929666666667-4.53024553571438.45657886904763
59150.636146.407331845238149.152958333333-2.745626488095244.22866815476192
60145.899149.035849702381147.0729583333331.96289136904762-3.13684970238091
61141.242148.741802083333144.5721254.16967708333333-7.49980208333335
62140.834144.667522321429141.6510416666673.0164806547619-3.83352232142855
63141.119141.573147321429138.3667916666673.2063556547619-0.454147321428565
64139.104137.533313988095135.3154583333332.217855654761911.57068601190477
65134.437133.115980654762132.7327083333330.3832723214285751.32101934523811
66129.425129.95252827381130.612125-0.659596726190474-0.527528273809509
67123.155127.267760416667129.000083333333-1.73232291666667-4.11276041666666
68119.273125.097123511905127.647791666667-2.55066815476191-5.82412351190476
69120.472123.37871875126.116791666667-2.73807291666666-2.90671875
70121.523119.817962797619124.348208333333-4.53024553571431.70503720238096
71121.983119.921081845238122.666708333333-2.745626488095242.06191815476194
72123.658123.221724702381121.2588333333331.962891369047620.436275297619062
73124.794124.552427083333120.382754.169677083333330.241572916666698
74124.827123.078022321429120.0615416666673.01648065476191.74897767857144
75120.382123.120688988095119.9143333333333.2063556547619-2.73868898809522
76117.395122.020480654762119.8026252.21785565476191-4.6254806547619
77115.79120.210813988095119.8275416666670.383272321428575-4.42081398809523
78114.283119.306486607143119.966083333333-0.659596726190474-5.02348660714286
79117.271118.28134375120.013666666667-1.73232291666667-1.01034375
80117.448117.229206845238119.779875-2.550668154761910.218793154761897
81118.764116.624302083333119.362375-2.738072916666662.13969791666665
82120.55114.490879464286119.021125-4.53024553571436.05912053571429
83123.554116.119456845238118.865083333333-2.745626488095247.4345431547619
84125.412120.869849702381118.9069583333331.962891369047624.54215029761905
85124.182123.01771875118.8480416666674.169677083333331.16428125
86119.828121.573938988095118.5574583333333.0164806547619-1.74593898809522
87115.361121.436313988095118.2299583333333.2063556547619-6.07531398809522
88114.226120.020355654762117.80252.21785565476191-5.79435565476187
89115.214117.406313988095117.0230416666670.383272321428575-2.19231398809522
90115.864115.297111607143115.956708333333-0.6595967261904740.566888392857152
91114.276113.314927083333115.04725-1.732322916666670.961072916666666
92113.469112.063665178571114.614333333333-2.550668154761911.40533482142857
93114.883112.051052083333114.789125-2.738072916666662.83194791666668
94114.172110.777962797619115.308208333333-4.53024553571433.39403720238097
95111.225113.365581845238116.111208333333-2.74562648809524-2.14058184523809
96112.149NANA1.96289136904762NA
97115.618NANANANA
98118.002NANANANA
99121.382NANANANA
100120.663NANANANA
101128.049NANANANA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 183.046 & NA & NA & 4.16967708333333 & NA \tabularnewline
2 & 175.714 & NA & NA & 3.0164806547619 & NA \tabularnewline
3 & 175.768 & NA & NA & 3.2063556547619 & NA \tabularnewline
4 & 171.029 & NA & NA & 2.21785565476191 & NA \tabularnewline
5 & 170.465 & NA & NA & 0.383272321428575 & NA \tabularnewline
6 & 170.102 & NA & NA & -0.659596726190474 & NA \tabularnewline
7 & 156.389 & 141.329052083333 & 143.061375 & -1.73232291666667 & 15.0599479166667 \tabularnewline
8 & 124.291 & 139.173123511905 & 141.723791666667 & -2.55066815476191 & -14.8821235119047 \tabularnewline
9 & 99.36 & 137.473135416667 & 140.211208333333 & -2.73807291666666 & -38.1131354166667 \tabularnewline
10 & 86.675 & 134.097087797619 & 138.627333333333 & -4.5302455357143 & -47.422087797619 \tabularnewline
11 & 85.056 & 134.544123511905 & 137.28975 & -2.74562648809524 & -49.4881235119048 \tabularnewline
12 & 128.236 & 137.836391369048 & 135.8735 & 1.96289136904762 & -9.60039136904764 \tabularnewline
13 & 164.257 & 139.02396875 & 134.854291666667 & 4.16967708333333 & 25.23303125 \tabularnewline
14 & 162.401 & 138.386230654762 & 135.36975 & 3.0164806547619 & 24.0147693452381 \tabularnewline
15 & 152.779 & 141.347480654762 & 138.141125 & 3.2063556547619 & 11.4315193452381 \tabularnewline
16 & 156.005 & 144.753147321429 & 142.535291666667 & 2.21785565476191 & 11.2518526785714 \tabularnewline
17 & 153.387 & 148.088647321429 & 147.705375 & 0.383272321428575 & 5.29835267857143 \tabularnewline
18 & 153.19 & 150.56527827381 & 151.224875 & -0.659596726190474 & 2.62472172619047 \tabularnewline
19 & 148.84 & 149.443385416667 & 151.175708333333 & -1.73232291666667 & -0.60338541666664 \tabularnewline
20 & 144.211 & 146.621706845238 & 149.172375 & -2.55066815476191 & -2.41070684523808 \tabularnewline
21 & 145.953 & 144.405552083333 & 147.143625 & -2.73807291666666 & 1.54744791666667 \tabularnewline
22 & 145.542 & 140.499046130952 & 145.029291666667 & -4.5302455357143 & 5.04295386904764 \tabularnewline
23 & 150.271 & 139.884623511905 & 142.63025 & -2.74562648809524 & 10.3863764880952 \tabularnewline
24 & 147.489 & 142.277683035714 & 140.314791666667 & 1.96289136904762 & 5.21131696428574 \tabularnewline
25 & 143.824 & 142.551052083333 & 138.381375 & 4.16967708333333 & 1.27294791666668 \tabularnewline
26 & 134.754 & 139.870313988095 & 136.853833333333 & 3.0164806547619 & -5.11631398809524 \tabularnewline
27 & 131.736 & 137.827522321429 & 134.621166666667 & 3.2063556547619 & -6.09152232142856 \tabularnewline
28 & 126.304 & 133.390897321429 & 131.173041666667 & 2.21785565476191 & -7.08689732142855 \tabularnewline
29 & 125.511 & 127.737688988095 & 127.354416666667 & 0.383272321428575 & -2.22668898809525 \tabularnewline
30 & 125.495 & 123.722069940476 & 124.381666666667 & -0.659596726190474 & 1.77293005952382 \tabularnewline
31 & 130.133 & 120.708802083333 & 122.441125 & -1.73232291666667 & 9.4241979166667 \tabularnewline
32 & 126.257 & 118.754706845238 & 121.305375 & -2.55066815476191 & 7.50229315476192 \tabularnewline
33 & 110.323 & 118.87921875 & 121.617291666667 & -2.73807291666666 & -8.55621874999999 \tabularnewline
34 & 98.417 & 118.489962797619 & 123.020208333333 & -4.5302455357143 & -20.072962797619 \tabularnewline
35 & 105.749 & 121.998498511905 & 124.744125 & -2.74562648809524 & -16.2494985119047 \tabularnewline
36 & 120.665 & 128.451766369048 & 126.488875 & 1.96289136904762 & -7.78676636904761 \tabularnewline
37 & 124.075 & 131.992385416667 & 127.822708333333 & 4.16967708333333 & -7.91738541666666 \tabularnewline
38 & 127.245 & 132.051855654762 & 129.035375 & 3.0164806547619 & -4.80685565476192 \tabularnewline
39 & 146.731 & 134.411980654762 & 131.205625 & 3.2063556547619 & 12.3190193452381 \tabularnewline
40 & 144.979 & 136.920313988095 & 134.702458333333 & 2.21785565476191 & 8.05868601190477 \tabularnewline
41 & 148.21 & 138.855897321429 & 138.472625 & 0.383272321428575 & 9.35410267857148 \tabularnewline
42 & 144.67 & 140.751028273809 & 141.410625 & -0.659596726190474 & 3.91897172619051 \tabularnewline
43 & 142.97 & 141.938260416667 & 143.670583333333 & -1.73232291666667 & 1.03173958333338 \tabularnewline
44 & 142.524 & 143.255290178571 & 145.805958333333 & -2.55066815476191 & -0.731290178571413 \tabularnewline
45 & 146.142 & 144.48896875 & 147.227041666667 & -2.73807291666666 & 1.65303125000003 \tabularnewline
46 & 146.522 & 143.723712797619 & 148.253958333333 & -4.5302455357143 & 2.79828720238098 \tabularnewline
47 & 148.128 & 146.466373511905 & 149.212 & -2.74562648809524 & 1.66162648809524 \tabularnewline
48 & 148.798 & 152.045808035714 & 150.082916666667 & 1.96289136904762 & -3.24780803571426 \tabularnewline
49 & 150.181 & 155.29259375 & 151.122916666667 & 4.16967708333333 & -5.11159375 \tabularnewline
50 & 152.388 & 155.266063988095 & 152.249583333333 & 3.0164806547619 & -2.87806398809519 \tabularnewline
51 & 155.694 & 156.701813988095 & 153.495458333333 & 3.2063556547619 & -1.00781398809519 \tabularnewline
52 & 160.662 & 156.653438988095 & 154.435583333333 & 2.21785565476191 & 4.00856101190479 \tabularnewline
53 & 155.52 & 155.270605654762 & 154.887333333333 & 0.383272321428575 & 0.24939434523813 \tabularnewline
54 & 158.262 & 154.211444940476 & 154.871041666667 & -0.659596726190474 & 4.05055505952382 \tabularnewline
55 & 154.338 & 152.64546875 & 154.377791666667 & -1.73232291666667 & 1.69253125 \tabularnewline
56 & 158.196 & 150.973248511905 & 153.523916666667 & -2.55066815476191 & 7.22275148809524 \tabularnewline
57 & 160.371 & 149.697135416667 & 152.435208333333 & -2.73807291666666 & 10.6738645833334 \tabularnewline
58 & 154.856 & 146.399421130952 & 150.929666666667 & -4.5302455357143 & 8.45657886904763 \tabularnewline
59 & 150.636 & 146.407331845238 & 149.152958333333 & -2.74562648809524 & 4.22866815476192 \tabularnewline
60 & 145.899 & 149.035849702381 & 147.072958333333 & 1.96289136904762 & -3.13684970238091 \tabularnewline
61 & 141.242 & 148.741802083333 & 144.572125 & 4.16967708333333 & -7.49980208333335 \tabularnewline
62 & 140.834 & 144.667522321429 & 141.651041666667 & 3.0164806547619 & -3.83352232142855 \tabularnewline
63 & 141.119 & 141.573147321429 & 138.366791666667 & 3.2063556547619 & -0.454147321428565 \tabularnewline
64 & 139.104 & 137.533313988095 & 135.315458333333 & 2.21785565476191 & 1.57068601190477 \tabularnewline
65 & 134.437 & 133.115980654762 & 132.732708333333 & 0.383272321428575 & 1.32101934523811 \tabularnewline
66 & 129.425 & 129.95252827381 & 130.612125 & -0.659596726190474 & -0.527528273809509 \tabularnewline
67 & 123.155 & 127.267760416667 & 129.000083333333 & -1.73232291666667 & -4.11276041666666 \tabularnewline
68 & 119.273 & 125.097123511905 & 127.647791666667 & -2.55066815476191 & -5.82412351190476 \tabularnewline
69 & 120.472 & 123.37871875 & 126.116791666667 & -2.73807291666666 & -2.90671875 \tabularnewline
70 & 121.523 & 119.817962797619 & 124.348208333333 & -4.5302455357143 & 1.70503720238096 \tabularnewline
71 & 121.983 & 119.921081845238 & 122.666708333333 & -2.74562648809524 & 2.06191815476194 \tabularnewline
72 & 123.658 & 123.221724702381 & 121.258833333333 & 1.96289136904762 & 0.436275297619062 \tabularnewline
73 & 124.794 & 124.552427083333 & 120.38275 & 4.16967708333333 & 0.241572916666698 \tabularnewline
74 & 124.827 & 123.078022321429 & 120.061541666667 & 3.0164806547619 & 1.74897767857144 \tabularnewline
75 & 120.382 & 123.120688988095 & 119.914333333333 & 3.2063556547619 & -2.73868898809522 \tabularnewline
76 & 117.395 & 122.020480654762 & 119.802625 & 2.21785565476191 & -4.6254806547619 \tabularnewline
77 & 115.79 & 120.210813988095 & 119.827541666667 & 0.383272321428575 & -4.42081398809523 \tabularnewline
78 & 114.283 & 119.306486607143 & 119.966083333333 & -0.659596726190474 & -5.02348660714286 \tabularnewline
79 & 117.271 & 118.28134375 & 120.013666666667 & -1.73232291666667 & -1.01034375 \tabularnewline
80 & 117.448 & 117.229206845238 & 119.779875 & -2.55066815476191 & 0.218793154761897 \tabularnewline
81 & 118.764 & 116.624302083333 & 119.362375 & -2.73807291666666 & 2.13969791666665 \tabularnewline
82 & 120.55 & 114.490879464286 & 119.021125 & -4.5302455357143 & 6.05912053571429 \tabularnewline
83 & 123.554 & 116.119456845238 & 118.865083333333 & -2.74562648809524 & 7.4345431547619 \tabularnewline
84 & 125.412 & 120.869849702381 & 118.906958333333 & 1.96289136904762 & 4.54215029761905 \tabularnewline
85 & 124.182 & 123.01771875 & 118.848041666667 & 4.16967708333333 & 1.16428125 \tabularnewline
86 & 119.828 & 121.573938988095 & 118.557458333333 & 3.0164806547619 & -1.74593898809522 \tabularnewline
87 & 115.361 & 121.436313988095 & 118.229958333333 & 3.2063556547619 & -6.07531398809522 \tabularnewline
88 & 114.226 & 120.020355654762 & 117.8025 & 2.21785565476191 & -5.79435565476187 \tabularnewline
89 & 115.214 & 117.406313988095 & 117.023041666667 & 0.383272321428575 & -2.19231398809522 \tabularnewline
90 & 115.864 & 115.297111607143 & 115.956708333333 & -0.659596726190474 & 0.566888392857152 \tabularnewline
91 & 114.276 & 113.314927083333 & 115.04725 & -1.73232291666667 & 0.961072916666666 \tabularnewline
92 & 113.469 & 112.063665178571 & 114.614333333333 & -2.55066815476191 & 1.40533482142857 \tabularnewline
93 & 114.883 & 112.051052083333 & 114.789125 & -2.73807291666666 & 2.83194791666668 \tabularnewline
94 & 114.172 & 110.777962797619 & 115.308208333333 & -4.5302455357143 & 3.39403720238097 \tabularnewline
95 & 111.225 & 113.365581845238 & 116.111208333333 & -2.74562648809524 & -2.14058184523809 \tabularnewline
96 & 112.149 & NA & NA & 1.96289136904762 & NA \tabularnewline
97 & 115.618 & NA & NA & NA & NA \tabularnewline
98 & 118.002 & NA & NA & NA & NA \tabularnewline
99 & 121.382 & NA & NA & NA & NA \tabularnewline
100 & 120.663 & NA & NA & NA & NA \tabularnewline
101 & 128.049 & NA & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156429&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]183.046[/C][C]NA[/C][C]NA[/C][C]4.16967708333333[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]175.714[/C][C]NA[/C][C]NA[/C][C]3.0164806547619[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]175.768[/C][C]NA[/C][C]NA[/C][C]3.2063556547619[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]171.029[/C][C]NA[/C][C]NA[/C][C]2.21785565476191[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]170.465[/C][C]NA[/C][C]NA[/C][C]0.383272321428575[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]170.102[/C][C]NA[/C][C]NA[/C][C]-0.659596726190474[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]156.389[/C][C]141.329052083333[/C][C]143.061375[/C][C]-1.73232291666667[/C][C]15.0599479166667[/C][/ROW]
[ROW][C]8[/C][C]124.291[/C][C]139.173123511905[/C][C]141.723791666667[/C][C]-2.55066815476191[/C][C]-14.8821235119047[/C][/ROW]
[ROW][C]9[/C][C]99.36[/C][C]137.473135416667[/C][C]140.211208333333[/C][C]-2.73807291666666[/C][C]-38.1131354166667[/C][/ROW]
[ROW][C]10[/C][C]86.675[/C][C]134.097087797619[/C][C]138.627333333333[/C][C]-4.5302455357143[/C][C]-47.422087797619[/C][/ROW]
[ROW][C]11[/C][C]85.056[/C][C]134.544123511905[/C][C]137.28975[/C][C]-2.74562648809524[/C][C]-49.4881235119048[/C][/ROW]
[ROW][C]12[/C][C]128.236[/C][C]137.836391369048[/C][C]135.8735[/C][C]1.96289136904762[/C][C]-9.60039136904764[/C][/ROW]
[ROW][C]13[/C][C]164.257[/C][C]139.02396875[/C][C]134.854291666667[/C][C]4.16967708333333[/C][C]25.23303125[/C][/ROW]
[ROW][C]14[/C][C]162.401[/C][C]138.386230654762[/C][C]135.36975[/C][C]3.0164806547619[/C][C]24.0147693452381[/C][/ROW]
[ROW][C]15[/C][C]152.779[/C][C]141.347480654762[/C][C]138.141125[/C][C]3.2063556547619[/C][C]11.4315193452381[/C][/ROW]
[ROW][C]16[/C][C]156.005[/C][C]144.753147321429[/C][C]142.535291666667[/C][C]2.21785565476191[/C][C]11.2518526785714[/C][/ROW]
[ROW][C]17[/C][C]153.387[/C][C]148.088647321429[/C][C]147.705375[/C][C]0.383272321428575[/C][C]5.29835267857143[/C][/ROW]
[ROW][C]18[/C][C]153.19[/C][C]150.56527827381[/C][C]151.224875[/C][C]-0.659596726190474[/C][C]2.62472172619047[/C][/ROW]
[ROW][C]19[/C][C]148.84[/C][C]149.443385416667[/C][C]151.175708333333[/C][C]-1.73232291666667[/C][C]-0.60338541666664[/C][/ROW]
[ROW][C]20[/C][C]144.211[/C][C]146.621706845238[/C][C]149.172375[/C][C]-2.55066815476191[/C][C]-2.41070684523808[/C][/ROW]
[ROW][C]21[/C][C]145.953[/C][C]144.405552083333[/C][C]147.143625[/C][C]-2.73807291666666[/C][C]1.54744791666667[/C][/ROW]
[ROW][C]22[/C][C]145.542[/C][C]140.499046130952[/C][C]145.029291666667[/C][C]-4.5302455357143[/C][C]5.04295386904764[/C][/ROW]
[ROW][C]23[/C][C]150.271[/C][C]139.884623511905[/C][C]142.63025[/C][C]-2.74562648809524[/C][C]10.3863764880952[/C][/ROW]
[ROW][C]24[/C][C]147.489[/C][C]142.277683035714[/C][C]140.314791666667[/C][C]1.96289136904762[/C][C]5.21131696428574[/C][/ROW]
[ROW][C]25[/C][C]143.824[/C][C]142.551052083333[/C][C]138.381375[/C][C]4.16967708333333[/C][C]1.27294791666668[/C][/ROW]
[ROW][C]26[/C][C]134.754[/C][C]139.870313988095[/C][C]136.853833333333[/C][C]3.0164806547619[/C][C]-5.11631398809524[/C][/ROW]
[ROW][C]27[/C][C]131.736[/C][C]137.827522321429[/C][C]134.621166666667[/C][C]3.2063556547619[/C][C]-6.09152232142856[/C][/ROW]
[ROW][C]28[/C][C]126.304[/C][C]133.390897321429[/C][C]131.173041666667[/C][C]2.21785565476191[/C][C]-7.08689732142855[/C][/ROW]
[ROW][C]29[/C][C]125.511[/C][C]127.737688988095[/C][C]127.354416666667[/C][C]0.383272321428575[/C][C]-2.22668898809525[/C][/ROW]
[ROW][C]30[/C][C]125.495[/C][C]123.722069940476[/C][C]124.381666666667[/C][C]-0.659596726190474[/C][C]1.77293005952382[/C][/ROW]
[ROW][C]31[/C][C]130.133[/C][C]120.708802083333[/C][C]122.441125[/C][C]-1.73232291666667[/C][C]9.4241979166667[/C][/ROW]
[ROW][C]32[/C][C]126.257[/C][C]118.754706845238[/C][C]121.305375[/C][C]-2.55066815476191[/C][C]7.50229315476192[/C][/ROW]
[ROW][C]33[/C][C]110.323[/C][C]118.87921875[/C][C]121.617291666667[/C][C]-2.73807291666666[/C][C]-8.55621874999999[/C][/ROW]
[ROW][C]34[/C][C]98.417[/C][C]118.489962797619[/C][C]123.020208333333[/C][C]-4.5302455357143[/C][C]-20.072962797619[/C][/ROW]
[ROW][C]35[/C][C]105.749[/C][C]121.998498511905[/C][C]124.744125[/C][C]-2.74562648809524[/C][C]-16.2494985119047[/C][/ROW]
[ROW][C]36[/C][C]120.665[/C][C]128.451766369048[/C][C]126.488875[/C][C]1.96289136904762[/C][C]-7.78676636904761[/C][/ROW]
[ROW][C]37[/C][C]124.075[/C][C]131.992385416667[/C][C]127.822708333333[/C][C]4.16967708333333[/C][C]-7.91738541666666[/C][/ROW]
[ROW][C]38[/C][C]127.245[/C][C]132.051855654762[/C][C]129.035375[/C][C]3.0164806547619[/C][C]-4.80685565476192[/C][/ROW]
[ROW][C]39[/C][C]146.731[/C][C]134.411980654762[/C][C]131.205625[/C][C]3.2063556547619[/C][C]12.3190193452381[/C][/ROW]
[ROW][C]40[/C][C]144.979[/C][C]136.920313988095[/C][C]134.702458333333[/C][C]2.21785565476191[/C][C]8.05868601190477[/C][/ROW]
[ROW][C]41[/C][C]148.21[/C][C]138.855897321429[/C][C]138.472625[/C][C]0.383272321428575[/C][C]9.35410267857148[/C][/ROW]
[ROW][C]42[/C][C]144.67[/C][C]140.751028273809[/C][C]141.410625[/C][C]-0.659596726190474[/C][C]3.91897172619051[/C][/ROW]
[ROW][C]43[/C][C]142.97[/C][C]141.938260416667[/C][C]143.670583333333[/C][C]-1.73232291666667[/C][C]1.03173958333338[/C][/ROW]
[ROW][C]44[/C][C]142.524[/C][C]143.255290178571[/C][C]145.805958333333[/C][C]-2.55066815476191[/C][C]-0.731290178571413[/C][/ROW]
[ROW][C]45[/C][C]146.142[/C][C]144.48896875[/C][C]147.227041666667[/C][C]-2.73807291666666[/C][C]1.65303125000003[/C][/ROW]
[ROW][C]46[/C][C]146.522[/C][C]143.723712797619[/C][C]148.253958333333[/C][C]-4.5302455357143[/C][C]2.79828720238098[/C][/ROW]
[ROW][C]47[/C][C]148.128[/C][C]146.466373511905[/C][C]149.212[/C][C]-2.74562648809524[/C][C]1.66162648809524[/C][/ROW]
[ROW][C]48[/C][C]148.798[/C][C]152.045808035714[/C][C]150.082916666667[/C][C]1.96289136904762[/C][C]-3.24780803571426[/C][/ROW]
[ROW][C]49[/C][C]150.181[/C][C]155.29259375[/C][C]151.122916666667[/C][C]4.16967708333333[/C][C]-5.11159375[/C][/ROW]
[ROW][C]50[/C][C]152.388[/C][C]155.266063988095[/C][C]152.249583333333[/C][C]3.0164806547619[/C][C]-2.87806398809519[/C][/ROW]
[ROW][C]51[/C][C]155.694[/C][C]156.701813988095[/C][C]153.495458333333[/C][C]3.2063556547619[/C][C]-1.00781398809519[/C][/ROW]
[ROW][C]52[/C][C]160.662[/C][C]156.653438988095[/C][C]154.435583333333[/C][C]2.21785565476191[/C][C]4.00856101190479[/C][/ROW]
[ROW][C]53[/C][C]155.52[/C][C]155.270605654762[/C][C]154.887333333333[/C][C]0.383272321428575[/C][C]0.24939434523813[/C][/ROW]
[ROW][C]54[/C][C]158.262[/C][C]154.211444940476[/C][C]154.871041666667[/C][C]-0.659596726190474[/C][C]4.05055505952382[/C][/ROW]
[ROW][C]55[/C][C]154.338[/C][C]152.64546875[/C][C]154.377791666667[/C][C]-1.73232291666667[/C][C]1.69253125[/C][/ROW]
[ROW][C]56[/C][C]158.196[/C][C]150.973248511905[/C][C]153.523916666667[/C][C]-2.55066815476191[/C][C]7.22275148809524[/C][/ROW]
[ROW][C]57[/C][C]160.371[/C][C]149.697135416667[/C][C]152.435208333333[/C][C]-2.73807291666666[/C][C]10.6738645833334[/C][/ROW]
[ROW][C]58[/C][C]154.856[/C][C]146.399421130952[/C][C]150.929666666667[/C][C]-4.5302455357143[/C][C]8.45657886904763[/C][/ROW]
[ROW][C]59[/C][C]150.636[/C][C]146.407331845238[/C][C]149.152958333333[/C][C]-2.74562648809524[/C][C]4.22866815476192[/C][/ROW]
[ROW][C]60[/C][C]145.899[/C][C]149.035849702381[/C][C]147.072958333333[/C][C]1.96289136904762[/C][C]-3.13684970238091[/C][/ROW]
[ROW][C]61[/C][C]141.242[/C][C]148.741802083333[/C][C]144.572125[/C][C]4.16967708333333[/C][C]-7.49980208333335[/C][/ROW]
[ROW][C]62[/C][C]140.834[/C][C]144.667522321429[/C][C]141.651041666667[/C][C]3.0164806547619[/C][C]-3.83352232142855[/C][/ROW]
[ROW][C]63[/C][C]141.119[/C][C]141.573147321429[/C][C]138.366791666667[/C][C]3.2063556547619[/C][C]-0.454147321428565[/C][/ROW]
[ROW][C]64[/C][C]139.104[/C][C]137.533313988095[/C][C]135.315458333333[/C][C]2.21785565476191[/C][C]1.57068601190477[/C][/ROW]
[ROW][C]65[/C][C]134.437[/C][C]133.115980654762[/C][C]132.732708333333[/C][C]0.383272321428575[/C][C]1.32101934523811[/C][/ROW]
[ROW][C]66[/C][C]129.425[/C][C]129.95252827381[/C][C]130.612125[/C][C]-0.659596726190474[/C][C]-0.527528273809509[/C][/ROW]
[ROW][C]67[/C][C]123.155[/C][C]127.267760416667[/C][C]129.000083333333[/C][C]-1.73232291666667[/C][C]-4.11276041666666[/C][/ROW]
[ROW][C]68[/C][C]119.273[/C][C]125.097123511905[/C][C]127.647791666667[/C][C]-2.55066815476191[/C][C]-5.82412351190476[/C][/ROW]
[ROW][C]69[/C][C]120.472[/C][C]123.37871875[/C][C]126.116791666667[/C][C]-2.73807291666666[/C][C]-2.90671875[/C][/ROW]
[ROW][C]70[/C][C]121.523[/C][C]119.817962797619[/C][C]124.348208333333[/C][C]-4.5302455357143[/C][C]1.70503720238096[/C][/ROW]
[ROW][C]71[/C][C]121.983[/C][C]119.921081845238[/C][C]122.666708333333[/C][C]-2.74562648809524[/C][C]2.06191815476194[/C][/ROW]
[ROW][C]72[/C][C]123.658[/C][C]123.221724702381[/C][C]121.258833333333[/C][C]1.96289136904762[/C][C]0.436275297619062[/C][/ROW]
[ROW][C]73[/C][C]124.794[/C][C]124.552427083333[/C][C]120.38275[/C][C]4.16967708333333[/C][C]0.241572916666698[/C][/ROW]
[ROW][C]74[/C][C]124.827[/C][C]123.078022321429[/C][C]120.061541666667[/C][C]3.0164806547619[/C][C]1.74897767857144[/C][/ROW]
[ROW][C]75[/C][C]120.382[/C][C]123.120688988095[/C][C]119.914333333333[/C][C]3.2063556547619[/C][C]-2.73868898809522[/C][/ROW]
[ROW][C]76[/C][C]117.395[/C][C]122.020480654762[/C][C]119.802625[/C][C]2.21785565476191[/C][C]-4.6254806547619[/C][/ROW]
[ROW][C]77[/C][C]115.79[/C][C]120.210813988095[/C][C]119.827541666667[/C][C]0.383272321428575[/C][C]-4.42081398809523[/C][/ROW]
[ROW][C]78[/C][C]114.283[/C][C]119.306486607143[/C][C]119.966083333333[/C][C]-0.659596726190474[/C][C]-5.02348660714286[/C][/ROW]
[ROW][C]79[/C][C]117.271[/C][C]118.28134375[/C][C]120.013666666667[/C][C]-1.73232291666667[/C][C]-1.01034375[/C][/ROW]
[ROW][C]80[/C][C]117.448[/C][C]117.229206845238[/C][C]119.779875[/C][C]-2.55066815476191[/C][C]0.218793154761897[/C][/ROW]
[ROW][C]81[/C][C]118.764[/C][C]116.624302083333[/C][C]119.362375[/C][C]-2.73807291666666[/C][C]2.13969791666665[/C][/ROW]
[ROW][C]82[/C][C]120.55[/C][C]114.490879464286[/C][C]119.021125[/C][C]-4.5302455357143[/C][C]6.05912053571429[/C][/ROW]
[ROW][C]83[/C][C]123.554[/C][C]116.119456845238[/C][C]118.865083333333[/C][C]-2.74562648809524[/C][C]7.4345431547619[/C][/ROW]
[ROW][C]84[/C][C]125.412[/C][C]120.869849702381[/C][C]118.906958333333[/C][C]1.96289136904762[/C][C]4.54215029761905[/C][/ROW]
[ROW][C]85[/C][C]124.182[/C][C]123.01771875[/C][C]118.848041666667[/C][C]4.16967708333333[/C][C]1.16428125[/C][/ROW]
[ROW][C]86[/C][C]119.828[/C][C]121.573938988095[/C][C]118.557458333333[/C][C]3.0164806547619[/C][C]-1.74593898809522[/C][/ROW]
[ROW][C]87[/C][C]115.361[/C][C]121.436313988095[/C][C]118.229958333333[/C][C]3.2063556547619[/C][C]-6.07531398809522[/C][/ROW]
[ROW][C]88[/C][C]114.226[/C][C]120.020355654762[/C][C]117.8025[/C][C]2.21785565476191[/C][C]-5.79435565476187[/C][/ROW]
[ROW][C]89[/C][C]115.214[/C][C]117.406313988095[/C][C]117.023041666667[/C][C]0.383272321428575[/C][C]-2.19231398809522[/C][/ROW]
[ROW][C]90[/C][C]115.864[/C][C]115.297111607143[/C][C]115.956708333333[/C][C]-0.659596726190474[/C][C]0.566888392857152[/C][/ROW]
[ROW][C]91[/C][C]114.276[/C][C]113.314927083333[/C][C]115.04725[/C][C]-1.73232291666667[/C][C]0.961072916666666[/C][/ROW]
[ROW][C]92[/C][C]113.469[/C][C]112.063665178571[/C][C]114.614333333333[/C][C]-2.55066815476191[/C][C]1.40533482142857[/C][/ROW]
[ROW][C]93[/C][C]114.883[/C][C]112.051052083333[/C][C]114.789125[/C][C]-2.73807291666666[/C][C]2.83194791666668[/C][/ROW]
[ROW][C]94[/C][C]114.172[/C][C]110.777962797619[/C][C]115.308208333333[/C][C]-4.5302455357143[/C][C]3.39403720238097[/C][/ROW]
[ROW][C]95[/C][C]111.225[/C][C]113.365581845238[/C][C]116.111208333333[/C][C]-2.74562648809524[/C][C]-2.14058184523809[/C][/ROW]
[ROW][C]96[/C][C]112.149[/C][C]NA[/C][C]NA[/C][C]1.96289136904762[/C][C]NA[/C][/ROW]
[ROW][C]97[/C][C]115.618[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]98[/C][C]118.002[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]99[/C][C]121.382[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]100[/C][C]120.663[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]101[/C][C]128.049[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156429&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156429&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
1183.046NANA4.16967708333333NA
2175.714NANA3.0164806547619NA
3175.768NANA3.2063556547619NA
4171.029NANA2.21785565476191NA
5170.465NANA0.383272321428575NA
6170.102NANA-0.659596726190474NA
7156.389141.329052083333143.061375-1.7323229166666715.0599479166667
8124.291139.173123511905141.723791666667-2.55066815476191-14.8821235119047
999.36137.473135416667140.211208333333-2.73807291666666-38.1131354166667
1086.675134.097087797619138.627333333333-4.5302455357143-47.422087797619
1185.056134.544123511905137.28975-2.74562648809524-49.4881235119048
12128.236137.836391369048135.87351.96289136904762-9.60039136904764
13164.257139.02396875134.8542916666674.1696770833333325.23303125
14162.401138.386230654762135.369753.016480654761924.0147693452381
15152.779141.347480654762138.1411253.206355654761911.4315193452381
16156.005144.753147321429142.5352916666672.2178556547619111.2518526785714
17153.387148.088647321429147.7053750.3832723214285755.29835267857143
18153.19150.56527827381151.224875-0.6595967261904742.62472172619047
19148.84149.443385416667151.175708333333-1.73232291666667-0.60338541666664
20144.211146.621706845238149.172375-2.55066815476191-2.41070684523808
21145.953144.405552083333147.143625-2.738072916666661.54744791666667
22145.542140.499046130952145.029291666667-4.53024553571435.04295386904764
23150.271139.884623511905142.63025-2.7456264880952410.3863764880952
24147.489142.277683035714140.3147916666671.962891369047625.21131696428574
25143.824142.551052083333138.3813754.169677083333331.27294791666668
26134.754139.870313988095136.8538333333333.0164806547619-5.11631398809524
27131.736137.827522321429134.6211666666673.2063556547619-6.09152232142856
28126.304133.390897321429131.1730416666672.21785565476191-7.08689732142855
29125.511127.737688988095127.3544166666670.383272321428575-2.22668898809525
30125.495123.722069940476124.381666666667-0.6595967261904741.77293005952382
31130.133120.708802083333122.441125-1.732322916666679.4241979166667
32126.257118.754706845238121.305375-2.550668154761917.50229315476192
33110.323118.87921875121.617291666667-2.73807291666666-8.55621874999999
3498.417118.489962797619123.020208333333-4.5302455357143-20.072962797619
35105.749121.998498511905124.744125-2.74562648809524-16.2494985119047
36120.665128.451766369048126.4888751.96289136904762-7.78676636904761
37124.075131.992385416667127.8227083333334.16967708333333-7.91738541666666
38127.245132.051855654762129.0353753.0164806547619-4.80685565476192
39146.731134.411980654762131.2056253.206355654761912.3190193452381
40144.979136.920313988095134.7024583333332.217855654761918.05868601190477
41148.21138.855897321429138.4726250.3832723214285759.35410267857148
42144.67140.751028273809141.410625-0.6595967261904743.91897172619051
43142.97141.938260416667143.670583333333-1.732322916666671.03173958333338
44142.524143.255290178571145.805958333333-2.55066815476191-0.731290178571413
45146.142144.48896875147.227041666667-2.738072916666661.65303125000003
46146.522143.723712797619148.253958333333-4.53024553571432.79828720238098
47148.128146.466373511905149.212-2.745626488095241.66162648809524
48148.798152.045808035714150.0829166666671.96289136904762-3.24780803571426
49150.181155.29259375151.1229166666674.16967708333333-5.11159375
50152.388155.266063988095152.2495833333333.0164806547619-2.87806398809519
51155.694156.701813988095153.4954583333333.2063556547619-1.00781398809519
52160.662156.653438988095154.4355833333332.217855654761914.00856101190479
53155.52155.270605654762154.8873333333330.3832723214285750.24939434523813
54158.262154.211444940476154.871041666667-0.6595967261904744.05055505952382
55154.338152.64546875154.377791666667-1.732322916666671.69253125
56158.196150.973248511905153.523916666667-2.550668154761917.22275148809524
57160.371149.697135416667152.435208333333-2.7380729166666610.6738645833334
58154.856146.399421130952150.929666666667-4.53024553571438.45657886904763
59150.636146.407331845238149.152958333333-2.745626488095244.22866815476192
60145.899149.035849702381147.0729583333331.96289136904762-3.13684970238091
61141.242148.741802083333144.5721254.16967708333333-7.49980208333335
62140.834144.667522321429141.6510416666673.0164806547619-3.83352232142855
63141.119141.573147321429138.3667916666673.2063556547619-0.454147321428565
64139.104137.533313988095135.3154583333332.217855654761911.57068601190477
65134.437133.115980654762132.7327083333330.3832723214285751.32101934523811
66129.425129.95252827381130.612125-0.659596726190474-0.527528273809509
67123.155127.267760416667129.000083333333-1.73232291666667-4.11276041666666
68119.273125.097123511905127.647791666667-2.55066815476191-5.82412351190476
69120.472123.37871875126.116791666667-2.73807291666666-2.90671875
70121.523119.817962797619124.348208333333-4.53024553571431.70503720238096
71121.983119.921081845238122.666708333333-2.745626488095242.06191815476194
72123.658123.221724702381121.2588333333331.962891369047620.436275297619062
73124.794124.552427083333120.382754.169677083333330.241572916666698
74124.827123.078022321429120.0615416666673.01648065476191.74897767857144
75120.382123.120688988095119.9143333333333.2063556547619-2.73868898809522
76117.395122.020480654762119.8026252.21785565476191-4.6254806547619
77115.79120.210813988095119.8275416666670.383272321428575-4.42081398809523
78114.283119.306486607143119.966083333333-0.659596726190474-5.02348660714286
79117.271118.28134375120.013666666667-1.73232291666667-1.01034375
80117.448117.229206845238119.779875-2.550668154761910.218793154761897
81118.764116.624302083333119.362375-2.738072916666662.13969791666665
82120.55114.490879464286119.021125-4.53024553571436.05912053571429
83123.554116.119456845238118.865083333333-2.745626488095247.4345431547619
84125.412120.869849702381118.9069583333331.962891369047624.54215029761905
85124.182123.01771875118.8480416666674.169677083333331.16428125
86119.828121.573938988095118.5574583333333.0164806547619-1.74593898809522
87115.361121.436313988095118.2299583333333.2063556547619-6.07531398809522
88114.226120.020355654762117.80252.21785565476191-5.79435565476187
89115.214117.406313988095117.0230416666670.383272321428575-2.19231398809522
90115.864115.297111607143115.956708333333-0.6595967261904740.566888392857152
91114.276113.314927083333115.04725-1.732322916666670.961072916666666
92113.469112.063665178571114.614333333333-2.550668154761911.40533482142857
93114.883112.051052083333114.789125-2.738072916666662.83194791666668
94114.172110.777962797619115.308208333333-4.53024553571433.39403720238097
95111.225113.365581845238116.111208333333-2.74562648809524-2.14058184523809
96112.149NANA1.96289136904762NA
97115.618NANANANA
98118.002NANANANA
99121.382NANANANA
100120.663NANANANA
101128.049NANANANA


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')