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R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationTue, 10 Dec 2013 14:03:21 -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/2013/Dec/10/t13867024535lhuz91wsghahsa.htm/, Retrieved Thu, 28 Mar 2024 21:55:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232024, Retrieved Thu, 28 Mar 2024 21:55:18 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact66
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [] [2013-12-10 19:03:21] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
1,41
1,42
1,43
1,43
1,43
1,43
1,43
1,44
1,44
1,45
1,46
1,46
1,47
1,47
1,47
1,49
1,49
1,49
1,49
1,5
1,52
1,54
1,56
1,56
1,57
1,58
1,59
1,6
1,59
1,6
1,61
1,61
1,61
1,62
1,62
1,61
1,62
1,62
1,63
1,64
1,64
1,64
1,64
1,64
1,65
1,65
1,65
1,65
1,65
1,66
1,66
1,67
1,67
1,67
1,67
1,67
1,67
1,69
1,69
1,69
1,7
1,71
1,72
1,71
1,71
1,71
1,72
1,72
1,72
1,73
1,73
1,73
1,74
1,74
1,75
1,76
1,76
1,77
1,78
1,79
1,8
1,8
1,8
1,81




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 6 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232024&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232024&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232024&T=0

As an alternative you can also use a 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 time6 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
11.41NANA0.000769676NA
21.42NANA0.000908565NA
31.43NANA0.00264468NA
41.43NANA0.00604745NA
51.43NANA-0.00041088NA
61.43NANA-0.00186921NA
71.431.434941.43833-0.00339699-0.00493634
81.441.438341.44292-0.004577550.00166088
91.441.442641.44667-0.00402199-0.00264468
101.451.453961.450830.00313079-0.00396412
111.461.459381.455830.003547450.000619213
121.461.458061.46083-0.002771990.00193866
131.471.46661.465830.0007696760.00339699
141.471.471741.470830.000908565-0.0017419
151.471.479311.476670.00264468-0.00931134
161.491.48981.483750.006047450.000202546
171.491.491261.49167-0.00041088-0.00125579
181.491.498131.5-0.00186921-0.00813079
191.491.504941.50833-0.00339699-0.0149363
201.51.512511.51708-0.00457755-0.0125058
211.521.522641.52667-0.00402199-0.00264468
221.541.539381.536250.003130790.000619213
231.561.548551.5450.003547450.0114525
241.561.550981.55375-0.002771990.00902199
251.571.56411.563330.0007696760.00589699
261.581.573831.572920.0009085650.00617477
271.591.583891.581250.002644680.00610532
281.61.594381.588330.006047450.00561921
291.591.593761.59417-0.00041088-0.00375579
301.61.596881.59875-0.001869210.00311921
311.611.599521.60292-0.003396990.0104803
321.611.602091.60667-0.004577550.00791088
331.611.605981.61-0.004021990.00402199
341.621.616461.613330.003130790.00353588
351.621.620631.617080.00354745-0.000630787
361.611.618061.62083-0.00277199-0.00806134
371.621.624521.623750.000769676-0.00451968
381.621.627161.626250.000908565-0.00715856
391.631.631811.629170.00264468-0.00181134
401.641.638131.632080.006047450.00186921
411.641.634171.63458-0.000410880.00582755
421.641.635631.6375-0.001869210.00436921
431.641.637021.64042-0.003396990.00298032
441.641.638761.64333-0.004577550.00124421
451.651.642231.64625-0.004021990.00777199
461.651.651881.648750.00313079-0.00188079
471.651.65481.651250.00354745-0.00479745
481.651.650981.65375-0.00277199-0.000978009
491.651.657021.656250.000769676-0.00701968
501.661.659661.658750.0009085650.000341435
511.661.663481.660830.00264468-0.00347801
521.671.669381.663330.006047450.000619213
531.671.666261.66667-0.000410880.00374421
541.671.668131.67-0.001869210.00186921
551.671.670351.67375-0.00339699-0.000353009
561.671.673341.67792-0.00457755-0.00333912
571.671.678481.6825-0.00402199-0.00847801
581.691.68981.686670.003130790.000202546
591.691.693551.690.00354745-0.00354745
601.691.690561.69333-0.00277199-0.000561343
611.71.697851.697080.0007696760.00214699
621.711.702161.701250.0009085650.00784144
631.721.708061.705420.002644680.0119387
641.711.715211.709170.00604745-0.00521412
651.711.712091.7125-0.00041088-0.00208912
661.711.713961.71583-0.00186921-0.00396412
671.721.715771.71917-0.003396990.00423032
681.721.717511.72208-0.004577550.00249421
691.721.720561.72458-0.00402199-0.000561343
701.731.731051.727920.00313079-0.00104745
711.731.735631.732080.00354745-0.00563079
721.731.733891.73667-0.00277199-0.00389468
731.741.742441.741670.000769676-0.00243634
741.741.747991.747080.000908565-0.0079919
751.751.755981.753330.00264468-0.00597801
761.761.765631.759580.00604745-0.00563079
771.761.765011.76542-0.00041088-0.00500579
781.771.76981.77167-0.001869210.000202546
791.78NANA-0.00339699NA
801.79NANA-0.00457755NA
811.8NANA-0.00402199NA
821.8NANA0.00313079NA
831.8NANA0.00354745NA
841.81NANA-0.00277199NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 1.41 & NA & NA & 0.000769676 & NA \tabularnewline
2 & 1.42 & NA & NA & 0.000908565 & NA \tabularnewline
3 & 1.43 & NA & NA & 0.00264468 & NA \tabularnewline
4 & 1.43 & NA & NA & 0.00604745 & NA \tabularnewline
5 & 1.43 & NA & NA & -0.00041088 & NA \tabularnewline
6 & 1.43 & NA & NA & -0.00186921 & NA \tabularnewline
7 & 1.43 & 1.43494 & 1.43833 & -0.00339699 & -0.00493634 \tabularnewline
8 & 1.44 & 1.43834 & 1.44292 & -0.00457755 & 0.00166088 \tabularnewline
9 & 1.44 & 1.44264 & 1.44667 & -0.00402199 & -0.00264468 \tabularnewline
10 & 1.45 & 1.45396 & 1.45083 & 0.00313079 & -0.00396412 \tabularnewline
11 & 1.46 & 1.45938 & 1.45583 & 0.00354745 & 0.000619213 \tabularnewline
12 & 1.46 & 1.45806 & 1.46083 & -0.00277199 & 0.00193866 \tabularnewline
13 & 1.47 & 1.4666 & 1.46583 & 0.000769676 & 0.00339699 \tabularnewline
14 & 1.47 & 1.47174 & 1.47083 & 0.000908565 & -0.0017419 \tabularnewline
15 & 1.47 & 1.47931 & 1.47667 & 0.00264468 & -0.00931134 \tabularnewline
16 & 1.49 & 1.4898 & 1.48375 & 0.00604745 & 0.000202546 \tabularnewline
17 & 1.49 & 1.49126 & 1.49167 & -0.00041088 & -0.00125579 \tabularnewline
18 & 1.49 & 1.49813 & 1.5 & -0.00186921 & -0.00813079 \tabularnewline
19 & 1.49 & 1.50494 & 1.50833 & -0.00339699 & -0.0149363 \tabularnewline
20 & 1.5 & 1.51251 & 1.51708 & -0.00457755 & -0.0125058 \tabularnewline
21 & 1.52 & 1.52264 & 1.52667 & -0.00402199 & -0.00264468 \tabularnewline
22 & 1.54 & 1.53938 & 1.53625 & 0.00313079 & 0.000619213 \tabularnewline
23 & 1.56 & 1.54855 & 1.545 & 0.00354745 & 0.0114525 \tabularnewline
24 & 1.56 & 1.55098 & 1.55375 & -0.00277199 & 0.00902199 \tabularnewline
25 & 1.57 & 1.5641 & 1.56333 & 0.000769676 & 0.00589699 \tabularnewline
26 & 1.58 & 1.57383 & 1.57292 & 0.000908565 & 0.00617477 \tabularnewline
27 & 1.59 & 1.58389 & 1.58125 & 0.00264468 & 0.00610532 \tabularnewline
28 & 1.6 & 1.59438 & 1.58833 & 0.00604745 & 0.00561921 \tabularnewline
29 & 1.59 & 1.59376 & 1.59417 & -0.00041088 & -0.00375579 \tabularnewline
30 & 1.6 & 1.59688 & 1.59875 & -0.00186921 & 0.00311921 \tabularnewline
31 & 1.61 & 1.59952 & 1.60292 & -0.00339699 & 0.0104803 \tabularnewline
32 & 1.61 & 1.60209 & 1.60667 & -0.00457755 & 0.00791088 \tabularnewline
33 & 1.61 & 1.60598 & 1.61 & -0.00402199 & 0.00402199 \tabularnewline
34 & 1.62 & 1.61646 & 1.61333 & 0.00313079 & 0.00353588 \tabularnewline
35 & 1.62 & 1.62063 & 1.61708 & 0.00354745 & -0.000630787 \tabularnewline
36 & 1.61 & 1.61806 & 1.62083 & -0.00277199 & -0.00806134 \tabularnewline
37 & 1.62 & 1.62452 & 1.62375 & 0.000769676 & -0.00451968 \tabularnewline
38 & 1.62 & 1.62716 & 1.62625 & 0.000908565 & -0.00715856 \tabularnewline
39 & 1.63 & 1.63181 & 1.62917 & 0.00264468 & -0.00181134 \tabularnewline
40 & 1.64 & 1.63813 & 1.63208 & 0.00604745 & 0.00186921 \tabularnewline
41 & 1.64 & 1.63417 & 1.63458 & -0.00041088 & 0.00582755 \tabularnewline
42 & 1.64 & 1.63563 & 1.6375 & -0.00186921 & 0.00436921 \tabularnewline
43 & 1.64 & 1.63702 & 1.64042 & -0.00339699 & 0.00298032 \tabularnewline
44 & 1.64 & 1.63876 & 1.64333 & -0.00457755 & 0.00124421 \tabularnewline
45 & 1.65 & 1.64223 & 1.64625 & -0.00402199 & 0.00777199 \tabularnewline
46 & 1.65 & 1.65188 & 1.64875 & 0.00313079 & -0.00188079 \tabularnewline
47 & 1.65 & 1.6548 & 1.65125 & 0.00354745 & -0.00479745 \tabularnewline
48 & 1.65 & 1.65098 & 1.65375 & -0.00277199 & -0.000978009 \tabularnewline
49 & 1.65 & 1.65702 & 1.65625 & 0.000769676 & -0.00701968 \tabularnewline
50 & 1.66 & 1.65966 & 1.65875 & 0.000908565 & 0.000341435 \tabularnewline
51 & 1.66 & 1.66348 & 1.66083 & 0.00264468 & -0.00347801 \tabularnewline
52 & 1.67 & 1.66938 & 1.66333 & 0.00604745 & 0.000619213 \tabularnewline
53 & 1.67 & 1.66626 & 1.66667 & -0.00041088 & 0.00374421 \tabularnewline
54 & 1.67 & 1.66813 & 1.67 & -0.00186921 & 0.00186921 \tabularnewline
55 & 1.67 & 1.67035 & 1.67375 & -0.00339699 & -0.000353009 \tabularnewline
56 & 1.67 & 1.67334 & 1.67792 & -0.00457755 & -0.00333912 \tabularnewline
57 & 1.67 & 1.67848 & 1.6825 & -0.00402199 & -0.00847801 \tabularnewline
58 & 1.69 & 1.6898 & 1.68667 & 0.00313079 & 0.000202546 \tabularnewline
59 & 1.69 & 1.69355 & 1.69 & 0.00354745 & -0.00354745 \tabularnewline
60 & 1.69 & 1.69056 & 1.69333 & -0.00277199 & -0.000561343 \tabularnewline
61 & 1.7 & 1.69785 & 1.69708 & 0.000769676 & 0.00214699 \tabularnewline
62 & 1.71 & 1.70216 & 1.70125 & 0.000908565 & 0.00784144 \tabularnewline
63 & 1.72 & 1.70806 & 1.70542 & 0.00264468 & 0.0119387 \tabularnewline
64 & 1.71 & 1.71521 & 1.70917 & 0.00604745 & -0.00521412 \tabularnewline
65 & 1.71 & 1.71209 & 1.7125 & -0.00041088 & -0.00208912 \tabularnewline
66 & 1.71 & 1.71396 & 1.71583 & -0.00186921 & -0.00396412 \tabularnewline
67 & 1.72 & 1.71577 & 1.71917 & -0.00339699 & 0.00423032 \tabularnewline
68 & 1.72 & 1.71751 & 1.72208 & -0.00457755 & 0.00249421 \tabularnewline
69 & 1.72 & 1.72056 & 1.72458 & -0.00402199 & -0.000561343 \tabularnewline
70 & 1.73 & 1.73105 & 1.72792 & 0.00313079 & -0.00104745 \tabularnewline
71 & 1.73 & 1.73563 & 1.73208 & 0.00354745 & -0.00563079 \tabularnewline
72 & 1.73 & 1.73389 & 1.73667 & -0.00277199 & -0.00389468 \tabularnewline
73 & 1.74 & 1.74244 & 1.74167 & 0.000769676 & -0.00243634 \tabularnewline
74 & 1.74 & 1.74799 & 1.74708 & 0.000908565 & -0.0079919 \tabularnewline
75 & 1.75 & 1.75598 & 1.75333 & 0.00264468 & -0.00597801 \tabularnewline
76 & 1.76 & 1.76563 & 1.75958 & 0.00604745 & -0.00563079 \tabularnewline
77 & 1.76 & 1.76501 & 1.76542 & -0.00041088 & -0.00500579 \tabularnewline
78 & 1.77 & 1.7698 & 1.77167 & -0.00186921 & 0.000202546 \tabularnewline
79 & 1.78 & NA & NA & -0.00339699 & NA \tabularnewline
80 & 1.79 & NA & NA & -0.00457755 & NA \tabularnewline
81 & 1.8 & NA & NA & -0.00402199 & NA \tabularnewline
82 & 1.8 & NA & NA & 0.00313079 & NA \tabularnewline
83 & 1.8 & NA & NA & 0.00354745 & NA \tabularnewline
84 & 1.81 & NA & NA & -0.00277199 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232024&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]1.41[/C][C]NA[/C][C]NA[/C][C]0.000769676[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]1.42[/C][C]NA[/C][C]NA[/C][C]0.000908565[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]1.43[/C][C]NA[/C][C]NA[/C][C]0.00264468[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]1.43[/C][C]NA[/C][C]NA[/C][C]0.00604745[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]1.43[/C][C]NA[/C][C]NA[/C][C]-0.00041088[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]1.43[/C][C]NA[/C][C]NA[/C][C]-0.00186921[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]1.43[/C][C]1.43494[/C][C]1.43833[/C][C]-0.00339699[/C][C]-0.00493634[/C][/ROW]
[ROW][C]8[/C][C]1.44[/C][C]1.43834[/C][C]1.44292[/C][C]-0.00457755[/C][C]0.00166088[/C][/ROW]
[ROW][C]9[/C][C]1.44[/C][C]1.44264[/C][C]1.44667[/C][C]-0.00402199[/C][C]-0.00264468[/C][/ROW]
[ROW][C]10[/C][C]1.45[/C][C]1.45396[/C][C]1.45083[/C][C]0.00313079[/C][C]-0.00396412[/C][/ROW]
[ROW][C]11[/C][C]1.46[/C][C]1.45938[/C][C]1.45583[/C][C]0.00354745[/C][C]0.000619213[/C][/ROW]
[ROW][C]12[/C][C]1.46[/C][C]1.45806[/C][C]1.46083[/C][C]-0.00277199[/C][C]0.00193866[/C][/ROW]
[ROW][C]13[/C][C]1.47[/C][C]1.4666[/C][C]1.46583[/C][C]0.000769676[/C][C]0.00339699[/C][/ROW]
[ROW][C]14[/C][C]1.47[/C][C]1.47174[/C][C]1.47083[/C][C]0.000908565[/C][C]-0.0017419[/C][/ROW]
[ROW][C]15[/C][C]1.47[/C][C]1.47931[/C][C]1.47667[/C][C]0.00264468[/C][C]-0.00931134[/C][/ROW]
[ROW][C]16[/C][C]1.49[/C][C]1.4898[/C][C]1.48375[/C][C]0.00604745[/C][C]0.000202546[/C][/ROW]
[ROW][C]17[/C][C]1.49[/C][C]1.49126[/C][C]1.49167[/C][C]-0.00041088[/C][C]-0.00125579[/C][/ROW]
[ROW][C]18[/C][C]1.49[/C][C]1.49813[/C][C]1.5[/C][C]-0.00186921[/C][C]-0.00813079[/C][/ROW]
[ROW][C]19[/C][C]1.49[/C][C]1.50494[/C][C]1.50833[/C][C]-0.00339699[/C][C]-0.0149363[/C][/ROW]
[ROW][C]20[/C][C]1.5[/C][C]1.51251[/C][C]1.51708[/C][C]-0.00457755[/C][C]-0.0125058[/C][/ROW]
[ROW][C]21[/C][C]1.52[/C][C]1.52264[/C][C]1.52667[/C][C]-0.00402199[/C][C]-0.00264468[/C][/ROW]
[ROW][C]22[/C][C]1.54[/C][C]1.53938[/C][C]1.53625[/C][C]0.00313079[/C][C]0.000619213[/C][/ROW]
[ROW][C]23[/C][C]1.56[/C][C]1.54855[/C][C]1.545[/C][C]0.00354745[/C][C]0.0114525[/C][/ROW]
[ROW][C]24[/C][C]1.56[/C][C]1.55098[/C][C]1.55375[/C][C]-0.00277199[/C][C]0.00902199[/C][/ROW]
[ROW][C]25[/C][C]1.57[/C][C]1.5641[/C][C]1.56333[/C][C]0.000769676[/C][C]0.00589699[/C][/ROW]
[ROW][C]26[/C][C]1.58[/C][C]1.57383[/C][C]1.57292[/C][C]0.000908565[/C][C]0.00617477[/C][/ROW]
[ROW][C]27[/C][C]1.59[/C][C]1.58389[/C][C]1.58125[/C][C]0.00264468[/C][C]0.00610532[/C][/ROW]
[ROW][C]28[/C][C]1.6[/C][C]1.59438[/C][C]1.58833[/C][C]0.00604745[/C][C]0.00561921[/C][/ROW]
[ROW][C]29[/C][C]1.59[/C][C]1.59376[/C][C]1.59417[/C][C]-0.00041088[/C][C]-0.00375579[/C][/ROW]
[ROW][C]30[/C][C]1.6[/C][C]1.59688[/C][C]1.59875[/C][C]-0.00186921[/C][C]0.00311921[/C][/ROW]
[ROW][C]31[/C][C]1.61[/C][C]1.59952[/C][C]1.60292[/C][C]-0.00339699[/C][C]0.0104803[/C][/ROW]
[ROW][C]32[/C][C]1.61[/C][C]1.60209[/C][C]1.60667[/C][C]-0.00457755[/C][C]0.00791088[/C][/ROW]
[ROW][C]33[/C][C]1.61[/C][C]1.60598[/C][C]1.61[/C][C]-0.00402199[/C][C]0.00402199[/C][/ROW]
[ROW][C]34[/C][C]1.62[/C][C]1.61646[/C][C]1.61333[/C][C]0.00313079[/C][C]0.00353588[/C][/ROW]
[ROW][C]35[/C][C]1.62[/C][C]1.62063[/C][C]1.61708[/C][C]0.00354745[/C][C]-0.000630787[/C][/ROW]
[ROW][C]36[/C][C]1.61[/C][C]1.61806[/C][C]1.62083[/C][C]-0.00277199[/C][C]-0.00806134[/C][/ROW]
[ROW][C]37[/C][C]1.62[/C][C]1.62452[/C][C]1.62375[/C][C]0.000769676[/C][C]-0.00451968[/C][/ROW]
[ROW][C]38[/C][C]1.62[/C][C]1.62716[/C][C]1.62625[/C][C]0.000908565[/C][C]-0.00715856[/C][/ROW]
[ROW][C]39[/C][C]1.63[/C][C]1.63181[/C][C]1.62917[/C][C]0.00264468[/C][C]-0.00181134[/C][/ROW]
[ROW][C]40[/C][C]1.64[/C][C]1.63813[/C][C]1.63208[/C][C]0.00604745[/C][C]0.00186921[/C][/ROW]
[ROW][C]41[/C][C]1.64[/C][C]1.63417[/C][C]1.63458[/C][C]-0.00041088[/C][C]0.00582755[/C][/ROW]
[ROW][C]42[/C][C]1.64[/C][C]1.63563[/C][C]1.6375[/C][C]-0.00186921[/C][C]0.00436921[/C][/ROW]
[ROW][C]43[/C][C]1.64[/C][C]1.63702[/C][C]1.64042[/C][C]-0.00339699[/C][C]0.00298032[/C][/ROW]
[ROW][C]44[/C][C]1.64[/C][C]1.63876[/C][C]1.64333[/C][C]-0.00457755[/C][C]0.00124421[/C][/ROW]
[ROW][C]45[/C][C]1.65[/C][C]1.64223[/C][C]1.64625[/C][C]-0.00402199[/C][C]0.00777199[/C][/ROW]
[ROW][C]46[/C][C]1.65[/C][C]1.65188[/C][C]1.64875[/C][C]0.00313079[/C][C]-0.00188079[/C][/ROW]
[ROW][C]47[/C][C]1.65[/C][C]1.6548[/C][C]1.65125[/C][C]0.00354745[/C][C]-0.00479745[/C][/ROW]
[ROW][C]48[/C][C]1.65[/C][C]1.65098[/C][C]1.65375[/C][C]-0.00277199[/C][C]-0.000978009[/C][/ROW]
[ROW][C]49[/C][C]1.65[/C][C]1.65702[/C][C]1.65625[/C][C]0.000769676[/C][C]-0.00701968[/C][/ROW]
[ROW][C]50[/C][C]1.66[/C][C]1.65966[/C][C]1.65875[/C][C]0.000908565[/C][C]0.000341435[/C][/ROW]
[ROW][C]51[/C][C]1.66[/C][C]1.66348[/C][C]1.66083[/C][C]0.00264468[/C][C]-0.00347801[/C][/ROW]
[ROW][C]52[/C][C]1.67[/C][C]1.66938[/C][C]1.66333[/C][C]0.00604745[/C][C]0.000619213[/C][/ROW]
[ROW][C]53[/C][C]1.67[/C][C]1.66626[/C][C]1.66667[/C][C]-0.00041088[/C][C]0.00374421[/C][/ROW]
[ROW][C]54[/C][C]1.67[/C][C]1.66813[/C][C]1.67[/C][C]-0.00186921[/C][C]0.00186921[/C][/ROW]
[ROW][C]55[/C][C]1.67[/C][C]1.67035[/C][C]1.67375[/C][C]-0.00339699[/C][C]-0.000353009[/C][/ROW]
[ROW][C]56[/C][C]1.67[/C][C]1.67334[/C][C]1.67792[/C][C]-0.00457755[/C][C]-0.00333912[/C][/ROW]
[ROW][C]57[/C][C]1.67[/C][C]1.67848[/C][C]1.6825[/C][C]-0.00402199[/C][C]-0.00847801[/C][/ROW]
[ROW][C]58[/C][C]1.69[/C][C]1.6898[/C][C]1.68667[/C][C]0.00313079[/C][C]0.000202546[/C][/ROW]
[ROW][C]59[/C][C]1.69[/C][C]1.69355[/C][C]1.69[/C][C]0.00354745[/C][C]-0.00354745[/C][/ROW]
[ROW][C]60[/C][C]1.69[/C][C]1.69056[/C][C]1.69333[/C][C]-0.00277199[/C][C]-0.000561343[/C][/ROW]
[ROW][C]61[/C][C]1.7[/C][C]1.69785[/C][C]1.69708[/C][C]0.000769676[/C][C]0.00214699[/C][/ROW]
[ROW][C]62[/C][C]1.71[/C][C]1.70216[/C][C]1.70125[/C][C]0.000908565[/C][C]0.00784144[/C][/ROW]
[ROW][C]63[/C][C]1.72[/C][C]1.70806[/C][C]1.70542[/C][C]0.00264468[/C][C]0.0119387[/C][/ROW]
[ROW][C]64[/C][C]1.71[/C][C]1.71521[/C][C]1.70917[/C][C]0.00604745[/C][C]-0.00521412[/C][/ROW]
[ROW][C]65[/C][C]1.71[/C][C]1.71209[/C][C]1.7125[/C][C]-0.00041088[/C][C]-0.00208912[/C][/ROW]
[ROW][C]66[/C][C]1.71[/C][C]1.71396[/C][C]1.71583[/C][C]-0.00186921[/C][C]-0.00396412[/C][/ROW]
[ROW][C]67[/C][C]1.72[/C][C]1.71577[/C][C]1.71917[/C][C]-0.00339699[/C][C]0.00423032[/C][/ROW]
[ROW][C]68[/C][C]1.72[/C][C]1.71751[/C][C]1.72208[/C][C]-0.00457755[/C][C]0.00249421[/C][/ROW]
[ROW][C]69[/C][C]1.72[/C][C]1.72056[/C][C]1.72458[/C][C]-0.00402199[/C][C]-0.000561343[/C][/ROW]
[ROW][C]70[/C][C]1.73[/C][C]1.73105[/C][C]1.72792[/C][C]0.00313079[/C][C]-0.00104745[/C][/ROW]
[ROW][C]71[/C][C]1.73[/C][C]1.73563[/C][C]1.73208[/C][C]0.00354745[/C][C]-0.00563079[/C][/ROW]
[ROW][C]72[/C][C]1.73[/C][C]1.73389[/C][C]1.73667[/C][C]-0.00277199[/C][C]-0.00389468[/C][/ROW]
[ROW][C]73[/C][C]1.74[/C][C]1.74244[/C][C]1.74167[/C][C]0.000769676[/C][C]-0.00243634[/C][/ROW]
[ROW][C]74[/C][C]1.74[/C][C]1.74799[/C][C]1.74708[/C][C]0.000908565[/C][C]-0.0079919[/C][/ROW]
[ROW][C]75[/C][C]1.75[/C][C]1.75598[/C][C]1.75333[/C][C]0.00264468[/C][C]-0.00597801[/C][/ROW]
[ROW][C]76[/C][C]1.76[/C][C]1.76563[/C][C]1.75958[/C][C]0.00604745[/C][C]-0.00563079[/C][/ROW]
[ROW][C]77[/C][C]1.76[/C][C]1.76501[/C][C]1.76542[/C][C]-0.00041088[/C][C]-0.00500579[/C][/ROW]
[ROW][C]78[/C][C]1.77[/C][C]1.7698[/C][C]1.77167[/C][C]-0.00186921[/C][C]0.000202546[/C][/ROW]
[ROW][C]79[/C][C]1.78[/C][C]NA[/C][C]NA[/C][C]-0.00339699[/C][C]NA[/C][/ROW]
[ROW][C]80[/C][C]1.79[/C][C]NA[/C][C]NA[/C][C]-0.00457755[/C][C]NA[/C][/ROW]
[ROW][C]81[/C][C]1.8[/C][C]NA[/C][C]NA[/C][C]-0.00402199[/C][C]NA[/C][/ROW]
[ROW][C]82[/C][C]1.8[/C][C]NA[/C][C]NA[/C][C]0.00313079[/C][C]NA[/C][/ROW]
[ROW][C]83[/C][C]1.8[/C][C]NA[/C][C]NA[/C][C]0.00354745[/C][C]NA[/C][/ROW]
[ROW][C]84[/C][C]1.81[/C][C]NA[/C][C]NA[/C][C]-0.00277199[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232024&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232024&T=1

As an alternative you can also use a QR Code:  

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

Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
11.41NANA0.000769676NA
21.42NANA0.000908565NA
31.43NANA0.00264468NA
41.43NANA0.00604745NA
51.43NANA-0.00041088NA
61.43NANA-0.00186921NA
71.431.434941.43833-0.00339699-0.00493634
81.441.438341.44292-0.004577550.00166088
91.441.442641.44667-0.00402199-0.00264468
101.451.453961.450830.00313079-0.00396412
111.461.459381.455830.003547450.000619213
121.461.458061.46083-0.002771990.00193866
131.471.46661.465830.0007696760.00339699
141.471.471741.470830.000908565-0.0017419
151.471.479311.476670.00264468-0.00931134
161.491.48981.483750.006047450.000202546
171.491.491261.49167-0.00041088-0.00125579
181.491.498131.5-0.00186921-0.00813079
191.491.504941.50833-0.00339699-0.0149363
201.51.512511.51708-0.00457755-0.0125058
211.521.522641.52667-0.00402199-0.00264468
221.541.539381.536250.003130790.000619213
231.561.548551.5450.003547450.0114525
241.561.550981.55375-0.002771990.00902199
251.571.56411.563330.0007696760.00589699
261.581.573831.572920.0009085650.00617477
271.591.583891.581250.002644680.00610532
281.61.594381.588330.006047450.00561921
291.591.593761.59417-0.00041088-0.00375579
301.61.596881.59875-0.001869210.00311921
311.611.599521.60292-0.003396990.0104803
321.611.602091.60667-0.004577550.00791088
331.611.605981.61-0.004021990.00402199
341.621.616461.613330.003130790.00353588
351.621.620631.617080.00354745-0.000630787
361.611.618061.62083-0.00277199-0.00806134
371.621.624521.623750.000769676-0.00451968
381.621.627161.626250.000908565-0.00715856
391.631.631811.629170.00264468-0.00181134
401.641.638131.632080.006047450.00186921
411.641.634171.63458-0.000410880.00582755
421.641.635631.6375-0.001869210.00436921
431.641.637021.64042-0.003396990.00298032
441.641.638761.64333-0.004577550.00124421
451.651.642231.64625-0.004021990.00777199
461.651.651881.648750.00313079-0.00188079
471.651.65481.651250.00354745-0.00479745
481.651.650981.65375-0.00277199-0.000978009
491.651.657021.656250.000769676-0.00701968
501.661.659661.658750.0009085650.000341435
511.661.663481.660830.00264468-0.00347801
521.671.669381.663330.006047450.000619213
531.671.666261.66667-0.000410880.00374421
541.671.668131.67-0.001869210.00186921
551.671.670351.67375-0.00339699-0.000353009
561.671.673341.67792-0.00457755-0.00333912
571.671.678481.6825-0.00402199-0.00847801
581.691.68981.686670.003130790.000202546
591.691.693551.690.00354745-0.00354745
601.691.690561.69333-0.00277199-0.000561343
611.71.697851.697080.0007696760.00214699
621.711.702161.701250.0009085650.00784144
631.721.708061.705420.002644680.0119387
641.711.715211.709170.00604745-0.00521412
651.711.712091.7125-0.00041088-0.00208912
661.711.713961.71583-0.00186921-0.00396412
671.721.715771.71917-0.003396990.00423032
681.721.717511.72208-0.004577550.00249421
691.721.720561.72458-0.00402199-0.000561343
701.731.731051.727920.00313079-0.00104745
711.731.735631.732080.00354745-0.00563079
721.731.733891.73667-0.00277199-0.00389468
731.741.742441.741670.000769676-0.00243634
741.741.747991.747080.000908565-0.0079919
751.751.755981.753330.00264468-0.00597801
761.761.765631.759580.00604745-0.00563079
771.761.765011.76542-0.00041088-0.00500579
781.771.76981.77167-0.001869210.000202546
791.78NANA-0.00339699NA
801.79NANA-0.00457755NA
811.8NANA-0.00402199NA
821.8NANA0.00313079NA
831.8NANA0.00354745NA
841.81NANA-0.00277199NA



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$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,signif(m$trend[i]+m$seasonal[i],6)) else a<-table.element(a,signif(m$trend[i]*m$seasonal[i],6))
a<-table.element(a,signif(m$trend[i],6))
a<-table.element(a,signif(m$seasonal[i],6))
a<-table.element(a,signif(m$random[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')