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R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationSat, 14 Dec 2013 14:41:56 -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/14/t1387050292rtsfghlj7qd99i6.htm/, Retrieved Thu, 28 Mar 2024 23:57:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232333, Retrieved Thu, 28 Mar 2024 23:57:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [] [2013-12-14 19:41:56] [d2dbc91554044d1d1a55d99248130a60] [Current]
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Dataseries X:
38,95
38,96
38,93
38,86
38,75
38,87
38,87
38,86
38,83
39,08
39,05
38,97
38,97
38,95
38,95
38,92
38,96
38,97
38,97
38,95
38,93
38,76
38,81
38,81
38,81
38,78
38,77
38,61
38,69
38,69
38,68
38,74
38,73
38,62
38,57
38,57
38,57
38,57
38,56
38,55
38,42
38,47
38,47
38,48
38,45
38,43
38,43
38,48
38,48
38,48
38,51
38,48
38,55
38,55
38,55
38,49
38,37
38,14
38,08
38,04
38,04
38,03
37,98
38,03
38,05
38,05
38,05
38,05
38,02
38,06
38,01
38
38
38
37,99
37,96
37,96
38,02
38,02
38,02
38
37,93
38
38
38
38
38
38,01
37,98
38
38
38
37,95
37,87
37,75
37,75




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 7 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232333&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]7 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232333&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232333&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 time7 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
138.95NANA0.999684NA
238.96NANA0.999731NA
338.93NANA0.999814NA
438.86NANA0.999402NA
538.75NANA0.999972NA
638.87NANA1.00089NA
738.8738.947138.91581.00080.998021
838.8638.956138.91621.001020.997533
938.8338.930338.91671.000350.997424
1039.0838.899238.920.9994651.00465
1139.0538.910138.93130.9994561.0036
1238.9738.921438.94420.9994151.00125
1338.9738.940238.95250.9996841.00077
1438.9538.9538.96040.9997311
1538.9538.961138.96830.9998140.999716
1638.9238.935938.95920.9994020.999593
1738.9638.934738.93580.9999721.00065
1838.9738.953638.91921.000891.00042
1938.9738.937138.90581.00081.00085
2038.9538.931938.89211.001021.00046
2138.9338.891138.87751.000351.001
2238.7638.836338.85710.9994650.998035
2338.8138.811838.83290.9994560.999954
2438.8138.787338.810.9994151.00059
2538.8138.77438.78620.9996841.00093
2638.7838.75538.76540.9997311.00064
2738.7738.741138.74830.9998141.00075
2838.6138.71138.73420.9994020.997391
2938.6938.717238.71830.9999720.999297
3038.6938.732638.69831.000890.998901
3138.6838.709438.67831.00080.999241
3238.7438.699238.65961.001021.00106
3338.7338.655638.64211.000351.00192
3438.6238.610238.63080.9994651.00025
3538.5738.596138.61710.9994560.999325
3638.5738.574138.59670.9994150.999894
3738.5738.566638.57880.9996841.00009
3838.5738.548838.55920.9997311.00055
3938.5638.529538.53670.9998141.00079
4038.5538.49438.51710.9994021.00145
4138.4238.502238.50330.9999720.997864
4238.4738.527838.49381.000890.998499
4338.4738.517238.48621.00080.998776
4438.4838.518238.47881.001020.99901
4538.4538.486438.47291.000350.999055
4638.4338.447438.46790.9994650.999549
4738.4338.449538.47040.9994560.999493
4838.4838.456638.47920.9994151.00061
4938.4838.473738.48580.9996841.00016
5038.4838.479238.48960.9997311.00002
5138.5138.479538.48670.9998141.00079
5238.4838.448238.47120.9994021.00083
5338.5538.443538.44460.9999721.00277
5438.5538.445738.41171.000891.00271
5538.5538.405838.3751.00081.00375
5638.4938.377238.33791.001021.00294
5738.3738.310538.29711.000351.00155
5838.1438.235838.25620.9994650.997495
5938.0838.195938.21670.9994560.996967
6038.0438.152738.1750.9994150.997047
6138.0438.121338.13330.9996840.997868
6238.0338.083938.09420.9997310.998584
6337.9838.054238.06120.9998140.998051
6438.0338.020638.04330.9994021.00025
6538.0538.03638.03710.9999721.00037
6638.0538.066238.03251.000890.999575
6738.0538.059738.02921.00080.999745
6838.0538.065238.02631.001020.999601
6938.0238.038738.02541.000350.999508
7038.0638.002638.02290.9994651.00151
7138.0137.995638.01620.9994561.00038
723837.98938.01130.9994151.00029
733837.996738.00880.9996841.00009
743837.99638.00630.9997311.0001
7537.9937.997138.00420.9998140.999813
7637.9637.975237.99790.9994020.9996
7737.9637.99137.99210.9999720.999184
7838.0238.025337.99171.000890.999861
7938.0238.022237.99171.00080.999943
8038.0238.030637.99171.001020.999722
813838.005437.99211.000350.999859
8237.9337.974337.99460.9994650.998834
833837.976837.99750.9994561.00061
843837.975337.99750.9994151.00065
853837.983837.99580.9996841.00043
863837.98437.99420.9997311.00042
873837.984237.99130.9998141.00042
8838.0137.963937.98670.9994021.00121
8937.9837.972737.97380.9999721.00019
903837.986537.95291.000891.00036
9138NANA1.0008NA
9238NANA1.00102NA
9337.95NANA1.00035NA
9437.87NANA0.999465NA
9537.75NANA0.999456NA
9637.75NANA0.999415NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 38.95 & NA & NA & 0.999684 & NA \tabularnewline
2 & 38.96 & NA & NA & 0.999731 & NA \tabularnewline
3 & 38.93 & NA & NA & 0.999814 & NA \tabularnewline
4 & 38.86 & NA & NA & 0.999402 & NA \tabularnewline
5 & 38.75 & NA & NA & 0.999972 & NA \tabularnewline
6 & 38.87 & NA & NA & 1.00089 & NA \tabularnewline
7 & 38.87 & 38.9471 & 38.9158 & 1.0008 & 0.998021 \tabularnewline
8 & 38.86 & 38.9561 & 38.9162 & 1.00102 & 0.997533 \tabularnewline
9 & 38.83 & 38.9303 & 38.9167 & 1.00035 & 0.997424 \tabularnewline
10 & 39.08 & 38.8992 & 38.92 & 0.999465 & 1.00465 \tabularnewline
11 & 39.05 & 38.9101 & 38.9313 & 0.999456 & 1.0036 \tabularnewline
12 & 38.97 & 38.9214 & 38.9442 & 0.999415 & 1.00125 \tabularnewline
13 & 38.97 & 38.9402 & 38.9525 & 0.999684 & 1.00077 \tabularnewline
14 & 38.95 & 38.95 & 38.9604 & 0.999731 & 1 \tabularnewline
15 & 38.95 & 38.9611 & 38.9683 & 0.999814 & 0.999716 \tabularnewline
16 & 38.92 & 38.9359 & 38.9592 & 0.999402 & 0.999593 \tabularnewline
17 & 38.96 & 38.9347 & 38.9358 & 0.999972 & 1.00065 \tabularnewline
18 & 38.97 & 38.9536 & 38.9192 & 1.00089 & 1.00042 \tabularnewline
19 & 38.97 & 38.9371 & 38.9058 & 1.0008 & 1.00085 \tabularnewline
20 & 38.95 & 38.9319 & 38.8921 & 1.00102 & 1.00046 \tabularnewline
21 & 38.93 & 38.8911 & 38.8775 & 1.00035 & 1.001 \tabularnewline
22 & 38.76 & 38.8363 & 38.8571 & 0.999465 & 0.998035 \tabularnewline
23 & 38.81 & 38.8118 & 38.8329 & 0.999456 & 0.999954 \tabularnewline
24 & 38.81 & 38.7873 & 38.81 & 0.999415 & 1.00059 \tabularnewline
25 & 38.81 & 38.774 & 38.7862 & 0.999684 & 1.00093 \tabularnewline
26 & 38.78 & 38.755 & 38.7654 & 0.999731 & 1.00064 \tabularnewline
27 & 38.77 & 38.7411 & 38.7483 & 0.999814 & 1.00075 \tabularnewline
28 & 38.61 & 38.711 & 38.7342 & 0.999402 & 0.997391 \tabularnewline
29 & 38.69 & 38.7172 & 38.7183 & 0.999972 & 0.999297 \tabularnewline
30 & 38.69 & 38.7326 & 38.6983 & 1.00089 & 0.998901 \tabularnewline
31 & 38.68 & 38.7094 & 38.6783 & 1.0008 & 0.999241 \tabularnewline
32 & 38.74 & 38.6992 & 38.6596 & 1.00102 & 1.00106 \tabularnewline
33 & 38.73 & 38.6556 & 38.6421 & 1.00035 & 1.00192 \tabularnewline
34 & 38.62 & 38.6102 & 38.6308 & 0.999465 & 1.00025 \tabularnewline
35 & 38.57 & 38.5961 & 38.6171 & 0.999456 & 0.999325 \tabularnewline
36 & 38.57 & 38.5741 & 38.5967 & 0.999415 & 0.999894 \tabularnewline
37 & 38.57 & 38.5666 & 38.5788 & 0.999684 & 1.00009 \tabularnewline
38 & 38.57 & 38.5488 & 38.5592 & 0.999731 & 1.00055 \tabularnewline
39 & 38.56 & 38.5295 & 38.5367 & 0.999814 & 1.00079 \tabularnewline
40 & 38.55 & 38.494 & 38.5171 & 0.999402 & 1.00145 \tabularnewline
41 & 38.42 & 38.5022 & 38.5033 & 0.999972 & 0.997864 \tabularnewline
42 & 38.47 & 38.5278 & 38.4938 & 1.00089 & 0.998499 \tabularnewline
43 & 38.47 & 38.5172 & 38.4862 & 1.0008 & 0.998776 \tabularnewline
44 & 38.48 & 38.5182 & 38.4788 & 1.00102 & 0.99901 \tabularnewline
45 & 38.45 & 38.4864 & 38.4729 & 1.00035 & 0.999055 \tabularnewline
46 & 38.43 & 38.4474 & 38.4679 & 0.999465 & 0.999549 \tabularnewline
47 & 38.43 & 38.4495 & 38.4704 & 0.999456 & 0.999493 \tabularnewline
48 & 38.48 & 38.4566 & 38.4792 & 0.999415 & 1.00061 \tabularnewline
49 & 38.48 & 38.4737 & 38.4858 & 0.999684 & 1.00016 \tabularnewline
50 & 38.48 & 38.4792 & 38.4896 & 0.999731 & 1.00002 \tabularnewline
51 & 38.51 & 38.4795 & 38.4867 & 0.999814 & 1.00079 \tabularnewline
52 & 38.48 & 38.4482 & 38.4712 & 0.999402 & 1.00083 \tabularnewline
53 & 38.55 & 38.4435 & 38.4446 & 0.999972 & 1.00277 \tabularnewline
54 & 38.55 & 38.4457 & 38.4117 & 1.00089 & 1.00271 \tabularnewline
55 & 38.55 & 38.4058 & 38.375 & 1.0008 & 1.00375 \tabularnewline
56 & 38.49 & 38.3772 & 38.3379 & 1.00102 & 1.00294 \tabularnewline
57 & 38.37 & 38.3105 & 38.2971 & 1.00035 & 1.00155 \tabularnewline
58 & 38.14 & 38.2358 & 38.2562 & 0.999465 & 0.997495 \tabularnewline
59 & 38.08 & 38.1959 & 38.2167 & 0.999456 & 0.996967 \tabularnewline
60 & 38.04 & 38.1527 & 38.175 & 0.999415 & 0.997047 \tabularnewline
61 & 38.04 & 38.1213 & 38.1333 & 0.999684 & 0.997868 \tabularnewline
62 & 38.03 & 38.0839 & 38.0942 & 0.999731 & 0.998584 \tabularnewline
63 & 37.98 & 38.0542 & 38.0612 & 0.999814 & 0.998051 \tabularnewline
64 & 38.03 & 38.0206 & 38.0433 & 0.999402 & 1.00025 \tabularnewline
65 & 38.05 & 38.036 & 38.0371 & 0.999972 & 1.00037 \tabularnewline
66 & 38.05 & 38.0662 & 38.0325 & 1.00089 & 0.999575 \tabularnewline
67 & 38.05 & 38.0597 & 38.0292 & 1.0008 & 0.999745 \tabularnewline
68 & 38.05 & 38.0652 & 38.0263 & 1.00102 & 0.999601 \tabularnewline
69 & 38.02 & 38.0387 & 38.0254 & 1.00035 & 0.999508 \tabularnewline
70 & 38.06 & 38.0026 & 38.0229 & 0.999465 & 1.00151 \tabularnewline
71 & 38.01 & 37.9956 & 38.0162 & 0.999456 & 1.00038 \tabularnewline
72 & 38 & 37.989 & 38.0113 & 0.999415 & 1.00029 \tabularnewline
73 & 38 & 37.9967 & 38.0088 & 0.999684 & 1.00009 \tabularnewline
74 & 38 & 37.996 & 38.0063 & 0.999731 & 1.0001 \tabularnewline
75 & 37.99 & 37.9971 & 38.0042 & 0.999814 & 0.999813 \tabularnewline
76 & 37.96 & 37.9752 & 37.9979 & 0.999402 & 0.9996 \tabularnewline
77 & 37.96 & 37.991 & 37.9921 & 0.999972 & 0.999184 \tabularnewline
78 & 38.02 & 38.0253 & 37.9917 & 1.00089 & 0.999861 \tabularnewline
79 & 38.02 & 38.0222 & 37.9917 & 1.0008 & 0.999943 \tabularnewline
80 & 38.02 & 38.0306 & 37.9917 & 1.00102 & 0.999722 \tabularnewline
81 & 38 & 38.0054 & 37.9921 & 1.00035 & 0.999859 \tabularnewline
82 & 37.93 & 37.9743 & 37.9946 & 0.999465 & 0.998834 \tabularnewline
83 & 38 & 37.9768 & 37.9975 & 0.999456 & 1.00061 \tabularnewline
84 & 38 & 37.9753 & 37.9975 & 0.999415 & 1.00065 \tabularnewline
85 & 38 & 37.9838 & 37.9958 & 0.999684 & 1.00043 \tabularnewline
86 & 38 & 37.984 & 37.9942 & 0.999731 & 1.00042 \tabularnewline
87 & 38 & 37.9842 & 37.9913 & 0.999814 & 1.00042 \tabularnewline
88 & 38.01 & 37.9639 & 37.9867 & 0.999402 & 1.00121 \tabularnewline
89 & 37.98 & 37.9727 & 37.9738 & 0.999972 & 1.00019 \tabularnewline
90 & 38 & 37.9865 & 37.9529 & 1.00089 & 1.00036 \tabularnewline
91 & 38 & NA & NA & 1.0008 & NA \tabularnewline
92 & 38 & NA & NA & 1.00102 & NA \tabularnewline
93 & 37.95 & NA & NA & 1.00035 & NA \tabularnewline
94 & 37.87 & NA & NA & 0.999465 & NA \tabularnewline
95 & 37.75 & NA & NA & 0.999456 & NA \tabularnewline
96 & 37.75 & NA & NA & 0.999415 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232333&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]38.95[/C][C]NA[/C][C]NA[/C][C]0.999684[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]38.96[/C][C]NA[/C][C]NA[/C][C]0.999731[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]38.93[/C][C]NA[/C][C]NA[/C][C]0.999814[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]38.86[/C][C]NA[/C][C]NA[/C][C]0.999402[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]38.75[/C][C]NA[/C][C]NA[/C][C]0.999972[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]38.87[/C][C]NA[/C][C]NA[/C][C]1.00089[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]38.87[/C][C]38.9471[/C][C]38.9158[/C][C]1.0008[/C][C]0.998021[/C][/ROW]
[ROW][C]8[/C][C]38.86[/C][C]38.9561[/C][C]38.9162[/C][C]1.00102[/C][C]0.997533[/C][/ROW]
[ROW][C]9[/C][C]38.83[/C][C]38.9303[/C][C]38.9167[/C][C]1.00035[/C][C]0.997424[/C][/ROW]
[ROW][C]10[/C][C]39.08[/C][C]38.8992[/C][C]38.92[/C][C]0.999465[/C][C]1.00465[/C][/ROW]
[ROW][C]11[/C][C]39.05[/C][C]38.9101[/C][C]38.9313[/C][C]0.999456[/C][C]1.0036[/C][/ROW]
[ROW][C]12[/C][C]38.97[/C][C]38.9214[/C][C]38.9442[/C][C]0.999415[/C][C]1.00125[/C][/ROW]
[ROW][C]13[/C][C]38.97[/C][C]38.9402[/C][C]38.9525[/C][C]0.999684[/C][C]1.00077[/C][/ROW]
[ROW][C]14[/C][C]38.95[/C][C]38.95[/C][C]38.9604[/C][C]0.999731[/C][C]1[/C][/ROW]
[ROW][C]15[/C][C]38.95[/C][C]38.9611[/C][C]38.9683[/C][C]0.999814[/C][C]0.999716[/C][/ROW]
[ROW][C]16[/C][C]38.92[/C][C]38.9359[/C][C]38.9592[/C][C]0.999402[/C][C]0.999593[/C][/ROW]
[ROW][C]17[/C][C]38.96[/C][C]38.9347[/C][C]38.9358[/C][C]0.999972[/C][C]1.00065[/C][/ROW]
[ROW][C]18[/C][C]38.97[/C][C]38.9536[/C][C]38.9192[/C][C]1.00089[/C][C]1.00042[/C][/ROW]
[ROW][C]19[/C][C]38.97[/C][C]38.9371[/C][C]38.9058[/C][C]1.0008[/C][C]1.00085[/C][/ROW]
[ROW][C]20[/C][C]38.95[/C][C]38.9319[/C][C]38.8921[/C][C]1.00102[/C][C]1.00046[/C][/ROW]
[ROW][C]21[/C][C]38.93[/C][C]38.8911[/C][C]38.8775[/C][C]1.00035[/C][C]1.001[/C][/ROW]
[ROW][C]22[/C][C]38.76[/C][C]38.8363[/C][C]38.8571[/C][C]0.999465[/C][C]0.998035[/C][/ROW]
[ROW][C]23[/C][C]38.81[/C][C]38.8118[/C][C]38.8329[/C][C]0.999456[/C][C]0.999954[/C][/ROW]
[ROW][C]24[/C][C]38.81[/C][C]38.7873[/C][C]38.81[/C][C]0.999415[/C][C]1.00059[/C][/ROW]
[ROW][C]25[/C][C]38.81[/C][C]38.774[/C][C]38.7862[/C][C]0.999684[/C][C]1.00093[/C][/ROW]
[ROW][C]26[/C][C]38.78[/C][C]38.755[/C][C]38.7654[/C][C]0.999731[/C][C]1.00064[/C][/ROW]
[ROW][C]27[/C][C]38.77[/C][C]38.7411[/C][C]38.7483[/C][C]0.999814[/C][C]1.00075[/C][/ROW]
[ROW][C]28[/C][C]38.61[/C][C]38.711[/C][C]38.7342[/C][C]0.999402[/C][C]0.997391[/C][/ROW]
[ROW][C]29[/C][C]38.69[/C][C]38.7172[/C][C]38.7183[/C][C]0.999972[/C][C]0.999297[/C][/ROW]
[ROW][C]30[/C][C]38.69[/C][C]38.7326[/C][C]38.6983[/C][C]1.00089[/C][C]0.998901[/C][/ROW]
[ROW][C]31[/C][C]38.68[/C][C]38.7094[/C][C]38.6783[/C][C]1.0008[/C][C]0.999241[/C][/ROW]
[ROW][C]32[/C][C]38.74[/C][C]38.6992[/C][C]38.6596[/C][C]1.00102[/C][C]1.00106[/C][/ROW]
[ROW][C]33[/C][C]38.73[/C][C]38.6556[/C][C]38.6421[/C][C]1.00035[/C][C]1.00192[/C][/ROW]
[ROW][C]34[/C][C]38.62[/C][C]38.6102[/C][C]38.6308[/C][C]0.999465[/C][C]1.00025[/C][/ROW]
[ROW][C]35[/C][C]38.57[/C][C]38.5961[/C][C]38.6171[/C][C]0.999456[/C][C]0.999325[/C][/ROW]
[ROW][C]36[/C][C]38.57[/C][C]38.5741[/C][C]38.5967[/C][C]0.999415[/C][C]0.999894[/C][/ROW]
[ROW][C]37[/C][C]38.57[/C][C]38.5666[/C][C]38.5788[/C][C]0.999684[/C][C]1.00009[/C][/ROW]
[ROW][C]38[/C][C]38.57[/C][C]38.5488[/C][C]38.5592[/C][C]0.999731[/C][C]1.00055[/C][/ROW]
[ROW][C]39[/C][C]38.56[/C][C]38.5295[/C][C]38.5367[/C][C]0.999814[/C][C]1.00079[/C][/ROW]
[ROW][C]40[/C][C]38.55[/C][C]38.494[/C][C]38.5171[/C][C]0.999402[/C][C]1.00145[/C][/ROW]
[ROW][C]41[/C][C]38.42[/C][C]38.5022[/C][C]38.5033[/C][C]0.999972[/C][C]0.997864[/C][/ROW]
[ROW][C]42[/C][C]38.47[/C][C]38.5278[/C][C]38.4938[/C][C]1.00089[/C][C]0.998499[/C][/ROW]
[ROW][C]43[/C][C]38.47[/C][C]38.5172[/C][C]38.4862[/C][C]1.0008[/C][C]0.998776[/C][/ROW]
[ROW][C]44[/C][C]38.48[/C][C]38.5182[/C][C]38.4788[/C][C]1.00102[/C][C]0.99901[/C][/ROW]
[ROW][C]45[/C][C]38.45[/C][C]38.4864[/C][C]38.4729[/C][C]1.00035[/C][C]0.999055[/C][/ROW]
[ROW][C]46[/C][C]38.43[/C][C]38.4474[/C][C]38.4679[/C][C]0.999465[/C][C]0.999549[/C][/ROW]
[ROW][C]47[/C][C]38.43[/C][C]38.4495[/C][C]38.4704[/C][C]0.999456[/C][C]0.999493[/C][/ROW]
[ROW][C]48[/C][C]38.48[/C][C]38.4566[/C][C]38.4792[/C][C]0.999415[/C][C]1.00061[/C][/ROW]
[ROW][C]49[/C][C]38.48[/C][C]38.4737[/C][C]38.4858[/C][C]0.999684[/C][C]1.00016[/C][/ROW]
[ROW][C]50[/C][C]38.48[/C][C]38.4792[/C][C]38.4896[/C][C]0.999731[/C][C]1.00002[/C][/ROW]
[ROW][C]51[/C][C]38.51[/C][C]38.4795[/C][C]38.4867[/C][C]0.999814[/C][C]1.00079[/C][/ROW]
[ROW][C]52[/C][C]38.48[/C][C]38.4482[/C][C]38.4712[/C][C]0.999402[/C][C]1.00083[/C][/ROW]
[ROW][C]53[/C][C]38.55[/C][C]38.4435[/C][C]38.4446[/C][C]0.999972[/C][C]1.00277[/C][/ROW]
[ROW][C]54[/C][C]38.55[/C][C]38.4457[/C][C]38.4117[/C][C]1.00089[/C][C]1.00271[/C][/ROW]
[ROW][C]55[/C][C]38.55[/C][C]38.4058[/C][C]38.375[/C][C]1.0008[/C][C]1.00375[/C][/ROW]
[ROW][C]56[/C][C]38.49[/C][C]38.3772[/C][C]38.3379[/C][C]1.00102[/C][C]1.00294[/C][/ROW]
[ROW][C]57[/C][C]38.37[/C][C]38.3105[/C][C]38.2971[/C][C]1.00035[/C][C]1.00155[/C][/ROW]
[ROW][C]58[/C][C]38.14[/C][C]38.2358[/C][C]38.2562[/C][C]0.999465[/C][C]0.997495[/C][/ROW]
[ROW][C]59[/C][C]38.08[/C][C]38.1959[/C][C]38.2167[/C][C]0.999456[/C][C]0.996967[/C][/ROW]
[ROW][C]60[/C][C]38.04[/C][C]38.1527[/C][C]38.175[/C][C]0.999415[/C][C]0.997047[/C][/ROW]
[ROW][C]61[/C][C]38.04[/C][C]38.1213[/C][C]38.1333[/C][C]0.999684[/C][C]0.997868[/C][/ROW]
[ROW][C]62[/C][C]38.03[/C][C]38.0839[/C][C]38.0942[/C][C]0.999731[/C][C]0.998584[/C][/ROW]
[ROW][C]63[/C][C]37.98[/C][C]38.0542[/C][C]38.0612[/C][C]0.999814[/C][C]0.998051[/C][/ROW]
[ROW][C]64[/C][C]38.03[/C][C]38.0206[/C][C]38.0433[/C][C]0.999402[/C][C]1.00025[/C][/ROW]
[ROW][C]65[/C][C]38.05[/C][C]38.036[/C][C]38.0371[/C][C]0.999972[/C][C]1.00037[/C][/ROW]
[ROW][C]66[/C][C]38.05[/C][C]38.0662[/C][C]38.0325[/C][C]1.00089[/C][C]0.999575[/C][/ROW]
[ROW][C]67[/C][C]38.05[/C][C]38.0597[/C][C]38.0292[/C][C]1.0008[/C][C]0.999745[/C][/ROW]
[ROW][C]68[/C][C]38.05[/C][C]38.0652[/C][C]38.0263[/C][C]1.00102[/C][C]0.999601[/C][/ROW]
[ROW][C]69[/C][C]38.02[/C][C]38.0387[/C][C]38.0254[/C][C]1.00035[/C][C]0.999508[/C][/ROW]
[ROW][C]70[/C][C]38.06[/C][C]38.0026[/C][C]38.0229[/C][C]0.999465[/C][C]1.00151[/C][/ROW]
[ROW][C]71[/C][C]38.01[/C][C]37.9956[/C][C]38.0162[/C][C]0.999456[/C][C]1.00038[/C][/ROW]
[ROW][C]72[/C][C]38[/C][C]37.989[/C][C]38.0113[/C][C]0.999415[/C][C]1.00029[/C][/ROW]
[ROW][C]73[/C][C]38[/C][C]37.9967[/C][C]38.0088[/C][C]0.999684[/C][C]1.00009[/C][/ROW]
[ROW][C]74[/C][C]38[/C][C]37.996[/C][C]38.0063[/C][C]0.999731[/C][C]1.0001[/C][/ROW]
[ROW][C]75[/C][C]37.99[/C][C]37.9971[/C][C]38.0042[/C][C]0.999814[/C][C]0.999813[/C][/ROW]
[ROW][C]76[/C][C]37.96[/C][C]37.9752[/C][C]37.9979[/C][C]0.999402[/C][C]0.9996[/C][/ROW]
[ROW][C]77[/C][C]37.96[/C][C]37.991[/C][C]37.9921[/C][C]0.999972[/C][C]0.999184[/C][/ROW]
[ROW][C]78[/C][C]38.02[/C][C]38.0253[/C][C]37.9917[/C][C]1.00089[/C][C]0.999861[/C][/ROW]
[ROW][C]79[/C][C]38.02[/C][C]38.0222[/C][C]37.9917[/C][C]1.0008[/C][C]0.999943[/C][/ROW]
[ROW][C]80[/C][C]38.02[/C][C]38.0306[/C][C]37.9917[/C][C]1.00102[/C][C]0.999722[/C][/ROW]
[ROW][C]81[/C][C]38[/C][C]38.0054[/C][C]37.9921[/C][C]1.00035[/C][C]0.999859[/C][/ROW]
[ROW][C]82[/C][C]37.93[/C][C]37.9743[/C][C]37.9946[/C][C]0.999465[/C][C]0.998834[/C][/ROW]
[ROW][C]83[/C][C]38[/C][C]37.9768[/C][C]37.9975[/C][C]0.999456[/C][C]1.00061[/C][/ROW]
[ROW][C]84[/C][C]38[/C][C]37.9753[/C][C]37.9975[/C][C]0.999415[/C][C]1.00065[/C][/ROW]
[ROW][C]85[/C][C]38[/C][C]37.9838[/C][C]37.9958[/C][C]0.999684[/C][C]1.00043[/C][/ROW]
[ROW][C]86[/C][C]38[/C][C]37.984[/C][C]37.9942[/C][C]0.999731[/C][C]1.00042[/C][/ROW]
[ROW][C]87[/C][C]38[/C][C]37.9842[/C][C]37.9913[/C][C]0.999814[/C][C]1.00042[/C][/ROW]
[ROW][C]88[/C][C]38.01[/C][C]37.9639[/C][C]37.9867[/C][C]0.999402[/C][C]1.00121[/C][/ROW]
[ROW][C]89[/C][C]37.98[/C][C]37.9727[/C][C]37.9738[/C][C]0.999972[/C][C]1.00019[/C][/ROW]
[ROW][C]90[/C][C]38[/C][C]37.9865[/C][C]37.9529[/C][C]1.00089[/C][C]1.00036[/C][/ROW]
[ROW][C]91[/C][C]38[/C][C]NA[/C][C]NA[/C][C]1.0008[/C][C]NA[/C][/ROW]
[ROW][C]92[/C][C]38[/C][C]NA[/C][C]NA[/C][C]1.00102[/C][C]NA[/C][/ROW]
[ROW][C]93[/C][C]37.95[/C][C]NA[/C][C]NA[/C][C]1.00035[/C][C]NA[/C][/ROW]
[ROW][C]94[/C][C]37.87[/C][C]NA[/C][C]NA[/C][C]0.999465[/C][C]NA[/C][/ROW]
[ROW][C]95[/C][C]37.75[/C][C]NA[/C][C]NA[/C][C]0.999456[/C][C]NA[/C][/ROW]
[ROW][C]96[/C][C]37.75[/C][C]NA[/C][C]NA[/C][C]0.999415[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232333&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232333&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
138.95NANA0.999684NA
238.96NANA0.999731NA
338.93NANA0.999814NA
438.86NANA0.999402NA
538.75NANA0.999972NA
638.87NANA1.00089NA
738.8738.947138.91581.00080.998021
838.8638.956138.91621.001020.997533
938.8338.930338.91671.000350.997424
1039.0838.899238.920.9994651.00465
1139.0538.910138.93130.9994561.0036
1238.9738.921438.94420.9994151.00125
1338.9738.940238.95250.9996841.00077
1438.9538.9538.96040.9997311
1538.9538.961138.96830.9998140.999716
1638.9238.935938.95920.9994020.999593
1738.9638.934738.93580.9999721.00065
1838.9738.953638.91921.000891.00042
1938.9738.937138.90581.00081.00085
2038.9538.931938.89211.001021.00046
2138.9338.891138.87751.000351.001
2238.7638.836338.85710.9994650.998035
2338.8138.811838.83290.9994560.999954
2438.8138.787338.810.9994151.00059
2538.8138.77438.78620.9996841.00093
2638.7838.75538.76540.9997311.00064
2738.7738.741138.74830.9998141.00075
2838.6138.71138.73420.9994020.997391
2938.6938.717238.71830.9999720.999297
3038.6938.732638.69831.000890.998901
3138.6838.709438.67831.00080.999241
3238.7438.699238.65961.001021.00106
3338.7338.655638.64211.000351.00192
3438.6238.610238.63080.9994651.00025
3538.5738.596138.61710.9994560.999325
3638.5738.574138.59670.9994150.999894
3738.5738.566638.57880.9996841.00009
3838.5738.548838.55920.9997311.00055
3938.5638.529538.53670.9998141.00079
4038.5538.49438.51710.9994021.00145
4138.4238.502238.50330.9999720.997864
4238.4738.527838.49381.000890.998499
4338.4738.517238.48621.00080.998776
4438.4838.518238.47881.001020.99901
4538.4538.486438.47291.000350.999055
4638.4338.447438.46790.9994650.999549
4738.4338.449538.47040.9994560.999493
4838.4838.456638.47920.9994151.00061
4938.4838.473738.48580.9996841.00016
5038.4838.479238.48960.9997311.00002
5138.5138.479538.48670.9998141.00079
5238.4838.448238.47120.9994021.00083
5338.5538.443538.44460.9999721.00277
5438.5538.445738.41171.000891.00271
5538.5538.405838.3751.00081.00375
5638.4938.377238.33791.001021.00294
5738.3738.310538.29711.000351.00155
5838.1438.235838.25620.9994650.997495
5938.0838.195938.21670.9994560.996967
6038.0438.152738.1750.9994150.997047
6138.0438.121338.13330.9996840.997868
6238.0338.083938.09420.9997310.998584
6337.9838.054238.06120.9998140.998051
6438.0338.020638.04330.9994021.00025
6538.0538.03638.03710.9999721.00037
6638.0538.066238.03251.000890.999575
6738.0538.059738.02921.00080.999745
6838.0538.065238.02631.001020.999601
6938.0238.038738.02541.000350.999508
7038.0638.002638.02290.9994651.00151
7138.0137.995638.01620.9994561.00038
723837.98938.01130.9994151.00029
733837.996738.00880.9996841.00009
743837.99638.00630.9997311.0001
7537.9937.997138.00420.9998140.999813
7637.9637.975237.99790.9994020.9996
7737.9637.99137.99210.9999720.999184
7838.0238.025337.99171.000890.999861
7938.0238.022237.99171.00080.999943
8038.0238.030637.99171.001020.999722
813838.005437.99211.000350.999859
8237.9337.974337.99460.9994650.998834
833837.976837.99750.9994561.00061
843837.975337.99750.9994151.00065
853837.983837.99580.9996841.00043
863837.98437.99420.9997311.00042
873837.984237.99130.9998141.00042
8838.0137.963937.98670.9994021.00121
8937.9837.972737.97380.9999721.00019
903837.986537.95291.000891.00036
9138NANA1.0008NA
9238NANA1.00102NA
9337.95NANA1.00035NA
9437.87NANA0.999465NA
9537.75NANA0.999456NA
9637.75NANA0.999415NA



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