## Free Statistics

of Irreproducible Research!

Author's title
Author*Unverified author*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationThu, 12 Dec 2013 08:38:18 -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/12/t13868556947sdkf9ofztw12k9.htm/, Retrieved Tue, 09 Aug 2022 19:04:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232247, Retrieved Tue, 09 Aug 2022 19:04:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [] [2013-12-12 13:38:18] [e13de47ca0b629216b947109e84252a5] [Current]
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Dataseries X:
16,68
16,68
16,69
16,61
16,58
16,6
16,6
16,62
16,62
16,6
16,63
16,66
16,66
16,65
16,5
16,39
16,34
16,35
16,35
16,38
16,36
16,38
16,39
16,41
16,41
16,41
16,45
16,41
16,44
16,47
16,47
16,49
16,54
16,62
16,69
16,72
16,72
16,71
16,89
16,93
16,91
16,93
16,93
16,93
16,95
16,93
16,95
16,95
16,95
16,95
16,92
16,91
16,9
16,96
16,96
16,95
16,92
16,87
16,87
16,88
16,88
16,86
16,88
16,88
16,88
16,88
16,88
16,87
16,92
16,94
17,03
17,02
17,02
17,02
16,99
17,03
16,98
16,89
16,89
16,9
16,89
16,96
16,97
16,97

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 5 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 & 5 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232247&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]5 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=232247&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232247&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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 5 seconds R Server 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

 Classical Decomposition by Moving Averages t Observations Fit Trend Seasonal Random 1 16.68 NA NA 0.0253819 NA 2 16.68 NA NA 0.0147569 NA 3 16.69 NA NA 0.0159375 NA 4 16.61 NA NA -0.00177083 NA 5 16.58 NA NA -0.0232986 NA 6 16.6 NA NA -0.0228125 NA 7 16.6 16.6091 16.63 -0.0209375 -0.0090625 8 16.62 16.6106 16.6279 -0.0173264 0.00940972 9 16.62 16.6086 16.6188 -0.0101042 0.0113542 10 16.6 16.5916 16.6017 -0.0101042 0.0084375 11 16.63 16.6034 16.5825 0.0208681 0.0266319 12 16.66 16.5915 16.5621 0.0294097 0.0685069 13 16.66 16.5666 16.5412 0.0253819 0.0933681 14 16.65 16.5356 16.5208 0.0147569 0.11441 15 16.5 16.5159 16.5 0.0159375 -0.0159375 16 16.39 16.4782 16.48 -0.00177083 -0.0882292 17 16.34 16.4375 16.4608 -0.0232986 -0.0975347 18 16.35 16.4176 16.4404 -0.0228125 -0.0676042 19 16.35 16.3986 16.4196 -0.0209375 -0.0486458 20 16.38 16.3818 16.3992 -0.0173264 -0.00184028 21 16.36 16.377 16.3871 -0.0101042 -0.0169792 22 16.38 16.3757 16.3858 -0.0101042 0.00427083 23 16.39 16.4117 16.3908 0.0208681 -0.0217014 24 16.41 16.4294 16.4 0.0294097 -0.0194097 25 16.41 16.4354 16.41 0.0253819 -0.0253819 26 16.41 16.4343 16.4196 0.0147569 -0.0243403 27 16.45 16.4476 16.4317 0.0159375 0.00239583 28 16.41 16.4474 16.4492 -0.00177083 -0.0373958 29 16.44 16.4484 16.4717 -0.0232986 -0.00836806 30 16.47 16.4743 16.4971 -0.0228125 -0.00427083 31 16.47 16.502 16.5229 -0.0209375 -0.0319792 32 16.49 16.531 16.5483 -0.0173264 -0.0410069 33 16.54 16.5691 16.5792 -0.0101042 -0.0290625 34 16.62 16.6091 16.6192 -0.0101042 0.0109375 35 16.69 16.6813 16.6604 0.0208681 0.00871528 36 16.72 16.7286 16.6992 0.0294097 -0.00857639 37 16.72 16.7629 16.7375 0.0253819 -0.0428819 38 16.71 16.7898 16.775 0.0147569 -0.0797569 39 16.89 16.8264 16.8104 0.0159375 0.0636458 40 16.93 16.8386 16.8404 -0.00177083 0.0913542 41 16.91 16.8409 16.8642 -0.0232986 0.0691319 42 16.93 16.8618 16.8846 -0.0228125 0.0682292 43 16.93 16.8828 16.9037 -0.0209375 0.0471875 44 16.93 16.906 16.9233 -0.0173264 0.0239931 45 16.95 16.9245 16.9346 -0.0101042 0.0255208 46 16.93 16.9249 16.935 -0.0101042 0.00510417 47 16.95 16.9546 16.9337 0.0208681 -0.00461806 48 16.95 16.964 16.9346 0.0294097 -0.0139931 49 16.95 16.9625 16.9371 0.0253819 -0.0124653 50 16.95 16.9539 16.9392 0.0147569 -0.00392361 51 16.92 16.9547 16.9388 0.0159375 -0.0346875 52 16.91 16.9332 16.935 -0.00177083 -0.0232292 53 16.9 16.9059 16.9292 -0.0232986 -0.00586806 54 16.96 16.9001 16.9229 -0.0228125 0.0598958 55 16.96 16.8961 16.9171 -0.0209375 0.0638542 56 16.95 16.8931 16.9104 -0.0173264 0.0569097 57 16.92 16.8949 16.905 -0.0101042 0.0251042 58 16.87 16.892 16.9021 -0.0101042 -0.0219792 59 16.87 16.9209 16.9 0.0208681 -0.0508681 60 16.88 16.9252 16.8958 0.0294097 -0.0452431 61 16.88 16.9145 16.8892 0.0253819 -0.0345486 62 16.86 16.8973 16.8825 0.0147569 -0.0372569 63 16.88 16.8951 16.8792 0.0159375 -0.0151042 64 16.88 16.8803 16.8821 -0.00177083 -0.0003125 65 16.88 16.8684 16.8917 -0.0232986 0.0116319 66 16.88 16.8814 16.9042 -0.0228125 -0.00135417 67 16.88 16.8949 16.9158 -0.0209375 -0.0148958 68 16.87 16.911 16.9283 -0.0173264 -0.0410069 69 16.92 16.9295 16.9396 -0.0101042 -0.00947917 70 16.94 16.9403 16.9504 -0.0101042 -0.0003125 71 17.03 16.9817 16.9608 0.0208681 0.0482986 72 17.02 16.9948 16.9654 0.0294097 0.0251736 73 17.02 16.9916 16.9662 0.0253819 0.0283681 74 17.02 16.9827 16.9679 0.0147569 0.0373264 75 16.99 16.9839 16.9679 0.0159375 0.00614583 76 17.03 16.9657 16.9675 -0.00177083 0.0642708 77 16.98 16.9425 16.9658 -0.0232986 0.0374653 78 16.89 16.9384 16.9612 -0.0228125 -0.0484375 79 16.89 NA NA -0.0209375 NA 80 16.9 NA NA -0.0173264 NA 81 16.89 NA NA -0.0101042 NA 82 16.96 NA NA -0.0101042 NA 83 16.97 NA NA 0.0208681 NA 84 16.97 NA NA 0.0294097 NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 16.68 & NA & NA & 0.0253819 & NA \tabularnewline
2 & 16.68 & NA & NA & 0.0147569 & NA \tabularnewline
3 & 16.69 & NA & NA & 0.0159375 & NA \tabularnewline
4 & 16.61 & NA & NA & -0.00177083 & NA \tabularnewline
5 & 16.58 & NA & NA & -0.0232986 & NA \tabularnewline
6 & 16.6 & NA & NA & -0.0228125 & NA \tabularnewline
7 & 16.6 & 16.6091 & 16.63 & -0.0209375 & -0.0090625 \tabularnewline
8 & 16.62 & 16.6106 & 16.6279 & -0.0173264 & 0.00940972 \tabularnewline
9 & 16.62 & 16.6086 & 16.6188 & -0.0101042 & 0.0113542 \tabularnewline
10 & 16.6 & 16.5916 & 16.6017 & -0.0101042 & 0.0084375 \tabularnewline
11 & 16.63 & 16.6034 & 16.5825 & 0.0208681 & 0.0266319 \tabularnewline
12 & 16.66 & 16.5915 & 16.5621 & 0.0294097 & 0.0685069 \tabularnewline
13 & 16.66 & 16.5666 & 16.5412 & 0.0253819 & 0.0933681 \tabularnewline
14 & 16.65 & 16.5356 & 16.5208 & 0.0147569 & 0.11441 \tabularnewline
15 & 16.5 & 16.5159 & 16.5 & 0.0159375 & -0.0159375 \tabularnewline
16 & 16.39 & 16.4782 & 16.48 & -0.00177083 & -0.0882292 \tabularnewline
17 & 16.34 & 16.4375 & 16.4608 & -0.0232986 & -0.0975347 \tabularnewline
18 & 16.35 & 16.4176 & 16.4404 & -0.0228125 & -0.0676042 \tabularnewline
19 & 16.35 & 16.3986 & 16.4196 & -0.0209375 & -0.0486458 \tabularnewline
20 & 16.38 & 16.3818 & 16.3992 & -0.0173264 & -0.00184028 \tabularnewline
21 & 16.36 & 16.377 & 16.3871 & -0.0101042 & -0.0169792 \tabularnewline
22 & 16.38 & 16.3757 & 16.3858 & -0.0101042 & 0.00427083 \tabularnewline
23 & 16.39 & 16.4117 & 16.3908 & 0.0208681 & -0.0217014 \tabularnewline
24 & 16.41 & 16.4294 & 16.4 & 0.0294097 & -0.0194097 \tabularnewline
25 & 16.41 & 16.4354 & 16.41 & 0.0253819 & -0.0253819 \tabularnewline
26 & 16.41 & 16.4343 & 16.4196 & 0.0147569 & -0.0243403 \tabularnewline
27 & 16.45 & 16.4476 & 16.4317 & 0.0159375 & 0.00239583 \tabularnewline
28 & 16.41 & 16.4474 & 16.4492 & -0.00177083 & -0.0373958 \tabularnewline
29 & 16.44 & 16.4484 & 16.4717 & -0.0232986 & -0.00836806 \tabularnewline
30 & 16.47 & 16.4743 & 16.4971 & -0.0228125 & -0.00427083 \tabularnewline
31 & 16.47 & 16.502 & 16.5229 & -0.0209375 & -0.0319792 \tabularnewline
32 & 16.49 & 16.531 & 16.5483 & -0.0173264 & -0.0410069 \tabularnewline
33 & 16.54 & 16.5691 & 16.5792 & -0.0101042 & -0.0290625 \tabularnewline
34 & 16.62 & 16.6091 & 16.6192 & -0.0101042 & 0.0109375 \tabularnewline
35 & 16.69 & 16.6813 & 16.6604 & 0.0208681 & 0.00871528 \tabularnewline
36 & 16.72 & 16.7286 & 16.6992 & 0.0294097 & -0.00857639 \tabularnewline
37 & 16.72 & 16.7629 & 16.7375 & 0.0253819 & -0.0428819 \tabularnewline
38 & 16.71 & 16.7898 & 16.775 & 0.0147569 & -0.0797569 \tabularnewline
39 & 16.89 & 16.8264 & 16.8104 & 0.0159375 & 0.0636458 \tabularnewline
40 & 16.93 & 16.8386 & 16.8404 & -0.00177083 & 0.0913542 \tabularnewline
41 & 16.91 & 16.8409 & 16.8642 & -0.0232986 & 0.0691319 \tabularnewline
42 & 16.93 & 16.8618 & 16.8846 & -0.0228125 & 0.0682292 \tabularnewline
43 & 16.93 & 16.8828 & 16.9037 & -0.0209375 & 0.0471875 \tabularnewline
44 & 16.93 & 16.906 & 16.9233 & -0.0173264 & 0.0239931 \tabularnewline
45 & 16.95 & 16.9245 & 16.9346 & -0.0101042 & 0.0255208 \tabularnewline
46 & 16.93 & 16.9249 & 16.935 & -0.0101042 & 0.00510417 \tabularnewline
47 & 16.95 & 16.9546 & 16.9337 & 0.0208681 & -0.00461806 \tabularnewline
48 & 16.95 & 16.964 & 16.9346 & 0.0294097 & -0.0139931 \tabularnewline
49 & 16.95 & 16.9625 & 16.9371 & 0.0253819 & -0.0124653 \tabularnewline
50 & 16.95 & 16.9539 & 16.9392 & 0.0147569 & -0.00392361 \tabularnewline
51 & 16.92 & 16.9547 & 16.9388 & 0.0159375 & -0.0346875 \tabularnewline
52 & 16.91 & 16.9332 & 16.935 & -0.00177083 & -0.0232292 \tabularnewline
53 & 16.9 & 16.9059 & 16.9292 & -0.0232986 & -0.00586806 \tabularnewline
54 & 16.96 & 16.9001 & 16.9229 & -0.0228125 & 0.0598958 \tabularnewline
55 & 16.96 & 16.8961 & 16.9171 & -0.0209375 & 0.0638542 \tabularnewline
56 & 16.95 & 16.8931 & 16.9104 & -0.0173264 & 0.0569097 \tabularnewline
57 & 16.92 & 16.8949 & 16.905 & -0.0101042 & 0.0251042 \tabularnewline
58 & 16.87 & 16.892 & 16.9021 & -0.0101042 & -0.0219792 \tabularnewline
59 & 16.87 & 16.9209 & 16.9 & 0.0208681 & -0.0508681 \tabularnewline
60 & 16.88 & 16.9252 & 16.8958 & 0.0294097 & -0.0452431 \tabularnewline
61 & 16.88 & 16.9145 & 16.8892 & 0.0253819 & -0.0345486 \tabularnewline
62 & 16.86 & 16.8973 & 16.8825 & 0.0147569 & -0.0372569 \tabularnewline
63 & 16.88 & 16.8951 & 16.8792 & 0.0159375 & -0.0151042 \tabularnewline
64 & 16.88 & 16.8803 & 16.8821 & -0.00177083 & -0.0003125 \tabularnewline
65 & 16.88 & 16.8684 & 16.8917 & -0.0232986 & 0.0116319 \tabularnewline
66 & 16.88 & 16.8814 & 16.9042 & -0.0228125 & -0.00135417 \tabularnewline
67 & 16.88 & 16.8949 & 16.9158 & -0.0209375 & -0.0148958 \tabularnewline
68 & 16.87 & 16.911 & 16.9283 & -0.0173264 & -0.0410069 \tabularnewline
69 & 16.92 & 16.9295 & 16.9396 & -0.0101042 & -0.00947917 \tabularnewline
70 & 16.94 & 16.9403 & 16.9504 & -0.0101042 & -0.0003125 \tabularnewline
71 & 17.03 & 16.9817 & 16.9608 & 0.0208681 & 0.0482986 \tabularnewline
72 & 17.02 & 16.9948 & 16.9654 & 0.0294097 & 0.0251736 \tabularnewline
73 & 17.02 & 16.9916 & 16.9662 & 0.0253819 & 0.0283681 \tabularnewline
74 & 17.02 & 16.9827 & 16.9679 & 0.0147569 & 0.0373264 \tabularnewline
75 & 16.99 & 16.9839 & 16.9679 & 0.0159375 & 0.00614583 \tabularnewline
76 & 17.03 & 16.9657 & 16.9675 & -0.00177083 & 0.0642708 \tabularnewline
77 & 16.98 & 16.9425 & 16.9658 & -0.0232986 & 0.0374653 \tabularnewline
78 & 16.89 & 16.9384 & 16.9612 & -0.0228125 & -0.0484375 \tabularnewline
79 & 16.89 & NA & NA & -0.0209375 & NA \tabularnewline
80 & 16.9 & NA & NA & -0.0173264 & NA \tabularnewline
81 & 16.89 & NA & NA & -0.0101042 & NA \tabularnewline
82 & 16.96 & NA & NA & -0.0101042 & NA \tabularnewline
83 & 16.97 & NA & NA & 0.0208681 & NA \tabularnewline
84 & 16.97 & NA & NA & 0.0294097 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232247&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]16.68[/C][C]NA[/C][C]NA[/C][C]0.0253819[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]16.68[/C][C]NA[/C][C]NA[/C][C]0.0147569[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]16.69[/C][C]NA[/C][C]NA[/C][C]0.0159375[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]16.61[/C][C]NA[/C][C]NA[/C][C]-0.00177083[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]16.58[/C][C]NA[/C][C]NA[/C][C]-0.0232986[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]16.6[/C][C]NA[/C][C]NA[/C][C]-0.0228125[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]16.6[/C][C]16.6091[/C][C]16.63[/C][C]-0.0209375[/C][C]-0.0090625[/C][/ROW]
[ROW][C]8[/C][C]16.62[/C][C]16.6106[/C][C]16.6279[/C][C]-0.0173264[/C][C]0.00940972[/C][/ROW]
[ROW][C]9[/C][C]16.62[/C][C]16.6086[/C][C]16.6188[/C][C]-0.0101042[/C][C]0.0113542[/C][/ROW]
[ROW][C]10[/C][C]16.6[/C][C]16.5916[/C][C]16.6017[/C][C]-0.0101042[/C][C]0.0084375[/C][/ROW]
[ROW][C]11[/C][C]16.63[/C][C]16.6034[/C][C]16.5825[/C][C]0.0208681[/C][C]0.0266319[/C][/ROW]
[ROW][C]12[/C][C]16.66[/C][C]16.5915[/C][C]16.5621[/C][C]0.0294097[/C][C]0.0685069[/C][/ROW]
[ROW][C]13[/C][C]16.66[/C][C]16.5666[/C][C]16.5412[/C][C]0.0253819[/C][C]0.0933681[/C][/ROW]
[ROW][C]14[/C][C]16.65[/C][C]16.5356[/C][C]16.5208[/C][C]0.0147569[/C][C]0.11441[/C][/ROW]
[ROW][C]15[/C][C]16.5[/C][C]16.5159[/C][C]16.5[/C][C]0.0159375[/C][C]-0.0159375[/C][/ROW]
[ROW][C]16[/C][C]16.39[/C][C]16.4782[/C][C]16.48[/C][C]-0.00177083[/C][C]-0.0882292[/C][/ROW]
[ROW][C]17[/C][C]16.34[/C][C]16.4375[/C][C]16.4608[/C][C]-0.0232986[/C][C]-0.0975347[/C][/ROW]
[ROW][C]18[/C][C]16.35[/C][C]16.4176[/C][C]16.4404[/C][C]-0.0228125[/C][C]-0.0676042[/C][/ROW]
[ROW][C]19[/C][C]16.35[/C][C]16.3986[/C][C]16.4196[/C][C]-0.0209375[/C][C]-0.0486458[/C][/ROW]
[ROW][C]20[/C][C]16.38[/C][C]16.3818[/C][C]16.3992[/C][C]-0.0173264[/C][C]-0.00184028[/C][/ROW]
[ROW][C]21[/C][C]16.36[/C][C]16.377[/C][C]16.3871[/C][C]-0.0101042[/C][C]-0.0169792[/C][/ROW]
[ROW][C]22[/C][C]16.38[/C][C]16.3757[/C][C]16.3858[/C][C]-0.0101042[/C][C]0.00427083[/C][/ROW]
[ROW][C]23[/C][C]16.39[/C][C]16.4117[/C][C]16.3908[/C][C]0.0208681[/C][C]-0.0217014[/C][/ROW]
[ROW][C]24[/C][C]16.41[/C][C]16.4294[/C][C]16.4[/C][C]0.0294097[/C][C]-0.0194097[/C][/ROW]
[ROW][C]25[/C][C]16.41[/C][C]16.4354[/C][C]16.41[/C][C]0.0253819[/C][C]-0.0253819[/C][/ROW]
[ROW][C]26[/C][C]16.41[/C][C]16.4343[/C][C]16.4196[/C][C]0.0147569[/C][C]-0.0243403[/C][/ROW]
[ROW][C]27[/C][C]16.45[/C][C]16.4476[/C][C]16.4317[/C][C]0.0159375[/C][C]0.00239583[/C][/ROW]
[ROW][C]28[/C][C]16.41[/C][C]16.4474[/C][C]16.4492[/C][C]-0.00177083[/C][C]-0.0373958[/C][/ROW]
[ROW][C]29[/C][C]16.44[/C][C]16.4484[/C][C]16.4717[/C][C]-0.0232986[/C][C]-0.00836806[/C][/ROW]
[ROW][C]30[/C][C]16.47[/C][C]16.4743[/C][C]16.4971[/C][C]-0.0228125[/C][C]-0.00427083[/C][/ROW]
[ROW][C]31[/C][C]16.47[/C][C]16.502[/C][C]16.5229[/C][C]-0.0209375[/C][C]-0.0319792[/C][/ROW]
[ROW][C]32[/C][C]16.49[/C][C]16.531[/C][C]16.5483[/C][C]-0.0173264[/C][C]-0.0410069[/C][/ROW]
[ROW][C]33[/C][C]16.54[/C][C]16.5691[/C][C]16.5792[/C][C]-0.0101042[/C][C]-0.0290625[/C][/ROW]
[ROW][C]34[/C][C]16.62[/C][C]16.6091[/C][C]16.6192[/C][C]-0.0101042[/C][C]0.0109375[/C][/ROW]
[ROW][C]35[/C][C]16.69[/C][C]16.6813[/C][C]16.6604[/C][C]0.0208681[/C][C]0.00871528[/C][/ROW]
[ROW][C]36[/C][C]16.72[/C][C]16.7286[/C][C]16.6992[/C][C]0.0294097[/C][C]-0.00857639[/C][/ROW]
[ROW][C]37[/C][C]16.72[/C][C]16.7629[/C][C]16.7375[/C][C]0.0253819[/C][C]-0.0428819[/C][/ROW]
[ROW][C]38[/C][C]16.71[/C][C]16.7898[/C][C]16.775[/C][C]0.0147569[/C][C]-0.0797569[/C][/ROW]
[ROW][C]39[/C][C]16.89[/C][C]16.8264[/C][C]16.8104[/C][C]0.0159375[/C][C]0.0636458[/C][/ROW]
[ROW][C]40[/C][C]16.93[/C][C]16.8386[/C][C]16.8404[/C][C]-0.00177083[/C][C]0.0913542[/C][/ROW]
[ROW][C]41[/C][C]16.91[/C][C]16.8409[/C][C]16.8642[/C][C]-0.0232986[/C][C]0.0691319[/C][/ROW]
[ROW][C]42[/C][C]16.93[/C][C]16.8618[/C][C]16.8846[/C][C]-0.0228125[/C][C]0.0682292[/C][/ROW]
[ROW][C]43[/C][C]16.93[/C][C]16.8828[/C][C]16.9037[/C][C]-0.0209375[/C][C]0.0471875[/C][/ROW]
[ROW][C]44[/C][C]16.93[/C][C]16.906[/C][C]16.9233[/C][C]-0.0173264[/C][C]0.0239931[/C][/ROW]
[ROW][C]45[/C][C]16.95[/C][C]16.9245[/C][C]16.9346[/C][C]-0.0101042[/C][C]0.0255208[/C][/ROW]
[ROW][C]46[/C][C]16.93[/C][C]16.9249[/C][C]16.935[/C][C]-0.0101042[/C][C]0.00510417[/C][/ROW]
[ROW][C]47[/C][C]16.95[/C][C]16.9546[/C][C]16.9337[/C][C]0.0208681[/C][C]-0.00461806[/C][/ROW]
[ROW][C]48[/C][C]16.95[/C][C]16.964[/C][C]16.9346[/C][C]0.0294097[/C][C]-0.0139931[/C][/ROW]
[ROW][C]49[/C][C]16.95[/C][C]16.9625[/C][C]16.9371[/C][C]0.0253819[/C][C]-0.0124653[/C][/ROW]
[ROW][C]50[/C][C]16.95[/C][C]16.9539[/C][C]16.9392[/C][C]0.0147569[/C][C]-0.00392361[/C][/ROW]
[ROW][C]51[/C][C]16.92[/C][C]16.9547[/C][C]16.9388[/C][C]0.0159375[/C][C]-0.0346875[/C][/ROW]
[ROW][C]52[/C][C]16.91[/C][C]16.9332[/C][C]16.935[/C][C]-0.00177083[/C][C]-0.0232292[/C][/ROW]
[ROW][C]53[/C][C]16.9[/C][C]16.9059[/C][C]16.9292[/C][C]-0.0232986[/C][C]-0.00586806[/C][/ROW]
[ROW][C]54[/C][C]16.96[/C][C]16.9001[/C][C]16.9229[/C][C]-0.0228125[/C][C]0.0598958[/C][/ROW]
[ROW][C]55[/C][C]16.96[/C][C]16.8961[/C][C]16.9171[/C][C]-0.0209375[/C][C]0.0638542[/C][/ROW]
[ROW][C]56[/C][C]16.95[/C][C]16.8931[/C][C]16.9104[/C][C]-0.0173264[/C][C]0.0569097[/C][/ROW]
[ROW][C]57[/C][C]16.92[/C][C]16.8949[/C][C]16.905[/C][C]-0.0101042[/C][C]0.0251042[/C][/ROW]
[ROW][C]58[/C][C]16.87[/C][C]16.892[/C][C]16.9021[/C][C]-0.0101042[/C][C]-0.0219792[/C][/ROW]
[ROW][C]59[/C][C]16.87[/C][C]16.9209[/C][C]16.9[/C][C]0.0208681[/C][C]-0.0508681[/C][/ROW]
[ROW][C]60[/C][C]16.88[/C][C]16.9252[/C][C]16.8958[/C][C]0.0294097[/C][C]-0.0452431[/C][/ROW]
[ROW][C]61[/C][C]16.88[/C][C]16.9145[/C][C]16.8892[/C][C]0.0253819[/C][C]-0.0345486[/C][/ROW]
[ROW][C]62[/C][C]16.86[/C][C]16.8973[/C][C]16.8825[/C][C]0.0147569[/C][C]-0.0372569[/C][/ROW]
[ROW][C]63[/C][C]16.88[/C][C]16.8951[/C][C]16.8792[/C][C]0.0159375[/C][C]-0.0151042[/C][/ROW]
[ROW][C]64[/C][C]16.88[/C][C]16.8803[/C][C]16.8821[/C][C]-0.00177083[/C][C]-0.0003125[/C][/ROW]
[ROW][C]65[/C][C]16.88[/C][C]16.8684[/C][C]16.8917[/C][C]-0.0232986[/C][C]0.0116319[/C][/ROW]
[ROW][C]66[/C][C]16.88[/C][C]16.8814[/C][C]16.9042[/C][C]-0.0228125[/C][C]-0.00135417[/C][/ROW]
[ROW][C]67[/C][C]16.88[/C][C]16.8949[/C][C]16.9158[/C][C]-0.0209375[/C][C]-0.0148958[/C][/ROW]
[ROW][C]68[/C][C]16.87[/C][C]16.911[/C][C]16.9283[/C][C]-0.0173264[/C][C]-0.0410069[/C][/ROW]
[ROW][C]69[/C][C]16.92[/C][C]16.9295[/C][C]16.9396[/C][C]-0.0101042[/C][C]-0.00947917[/C][/ROW]
[ROW][C]70[/C][C]16.94[/C][C]16.9403[/C][C]16.9504[/C][C]-0.0101042[/C][C]-0.0003125[/C][/ROW]
[ROW][C]71[/C][C]17.03[/C][C]16.9817[/C][C]16.9608[/C][C]0.0208681[/C][C]0.0482986[/C][/ROW]
[ROW][C]72[/C][C]17.02[/C][C]16.9948[/C][C]16.9654[/C][C]0.0294097[/C][C]0.0251736[/C][/ROW]
[ROW][C]73[/C][C]17.02[/C][C]16.9916[/C][C]16.9662[/C][C]0.0253819[/C][C]0.0283681[/C][/ROW]
[ROW][C]74[/C][C]17.02[/C][C]16.9827[/C][C]16.9679[/C][C]0.0147569[/C][C]0.0373264[/C][/ROW]
[ROW][C]75[/C][C]16.99[/C][C]16.9839[/C][C]16.9679[/C][C]0.0159375[/C][C]0.00614583[/C][/ROW]
[ROW][C]76[/C][C]17.03[/C][C]16.9657[/C][C]16.9675[/C][C]-0.00177083[/C][C]0.0642708[/C][/ROW]
[ROW][C]77[/C][C]16.98[/C][C]16.9425[/C][C]16.9658[/C][C]-0.0232986[/C][C]0.0374653[/C][/ROW]
[ROW][C]78[/C][C]16.89[/C][C]16.9384[/C][C]16.9612[/C][C]-0.0228125[/C][C]-0.0484375[/C][/ROW]
[ROW][C]79[/C][C]16.89[/C][C]NA[/C][C]NA[/C][C]-0.0209375[/C][C]NA[/C][/ROW]
[ROW][C]80[/C][C]16.9[/C][C]NA[/C][C]NA[/C][C]-0.0173264[/C][C]NA[/C][/ROW]
[ROW][C]81[/C][C]16.89[/C][C]NA[/C][C]NA[/C][C]-0.0101042[/C][C]NA[/C][/ROW]
[ROW][C]82[/C][C]16.96[/C][C]NA[/C][C]NA[/C][C]-0.0101042[/C][C]NA[/C][/ROW]
[ROW][C]83[/C][C]16.97[/C][C]NA[/C][C]NA[/C][C]0.0208681[/C][C]NA[/C][/ROW]
[ROW][C]84[/C][C]16.97[/C][C]NA[/C][C]NA[/C][C]0.0294097[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232247&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232247&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 t Observations Fit Trend Seasonal Random 1 16.68 NA NA 0.0253819 NA 2 16.68 NA NA 0.0147569 NA 3 16.69 NA NA 0.0159375 NA 4 16.61 NA NA -0.00177083 NA 5 16.58 NA NA -0.0232986 NA 6 16.6 NA NA -0.0228125 NA 7 16.6 16.6091 16.63 -0.0209375 -0.0090625 8 16.62 16.6106 16.6279 -0.0173264 0.00940972 9 16.62 16.6086 16.6188 -0.0101042 0.0113542 10 16.6 16.5916 16.6017 -0.0101042 0.0084375 11 16.63 16.6034 16.5825 0.0208681 0.0266319 12 16.66 16.5915 16.5621 0.0294097 0.0685069 13 16.66 16.5666 16.5412 0.0253819 0.0933681 14 16.65 16.5356 16.5208 0.0147569 0.11441 15 16.5 16.5159 16.5 0.0159375 -0.0159375 16 16.39 16.4782 16.48 -0.00177083 -0.0882292 17 16.34 16.4375 16.4608 -0.0232986 -0.0975347 18 16.35 16.4176 16.4404 -0.0228125 -0.0676042 19 16.35 16.3986 16.4196 -0.0209375 -0.0486458 20 16.38 16.3818 16.3992 -0.0173264 -0.00184028 21 16.36 16.377 16.3871 -0.0101042 -0.0169792 22 16.38 16.3757 16.3858 -0.0101042 0.00427083 23 16.39 16.4117 16.3908 0.0208681 -0.0217014 24 16.41 16.4294 16.4 0.0294097 -0.0194097 25 16.41 16.4354 16.41 0.0253819 -0.0253819 26 16.41 16.4343 16.4196 0.0147569 -0.0243403 27 16.45 16.4476 16.4317 0.0159375 0.00239583 28 16.41 16.4474 16.4492 -0.00177083 -0.0373958 29 16.44 16.4484 16.4717 -0.0232986 -0.00836806 30 16.47 16.4743 16.4971 -0.0228125 -0.00427083 31 16.47 16.502 16.5229 -0.0209375 -0.0319792 32 16.49 16.531 16.5483 -0.0173264 -0.0410069 33 16.54 16.5691 16.5792 -0.0101042 -0.0290625 34 16.62 16.6091 16.6192 -0.0101042 0.0109375 35 16.69 16.6813 16.6604 0.0208681 0.00871528 36 16.72 16.7286 16.6992 0.0294097 -0.00857639 37 16.72 16.7629 16.7375 0.0253819 -0.0428819 38 16.71 16.7898 16.775 0.0147569 -0.0797569 39 16.89 16.8264 16.8104 0.0159375 0.0636458 40 16.93 16.8386 16.8404 -0.00177083 0.0913542 41 16.91 16.8409 16.8642 -0.0232986 0.0691319 42 16.93 16.8618 16.8846 -0.0228125 0.0682292 43 16.93 16.8828 16.9037 -0.0209375 0.0471875 44 16.93 16.906 16.9233 -0.0173264 0.0239931 45 16.95 16.9245 16.9346 -0.0101042 0.0255208 46 16.93 16.9249 16.935 -0.0101042 0.00510417 47 16.95 16.9546 16.9337 0.0208681 -0.00461806 48 16.95 16.964 16.9346 0.0294097 -0.0139931 49 16.95 16.9625 16.9371 0.0253819 -0.0124653 50 16.95 16.9539 16.9392 0.0147569 -0.00392361 51 16.92 16.9547 16.9388 0.0159375 -0.0346875 52 16.91 16.9332 16.935 -0.00177083 -0.0232292 53 16.9 16.9059 16.9292 -0.0232986 -0.00586806 54 16.96 16.9001 16.9229 -0.0228125 0.0598958 55 16.96 16.8961 16.9171 -0.0209375 0.0638542 56 16.95 16.8931 16.9104 -0.0173264 0.0569097 57 16.92 16.8949 16.905 -0.0101042 0.0251042 58 16.87 16.892 16.9021 -0.0101042 -0.0219792 59 16.87 16.9209 16.9 0.0208681 -0.0508681 60 16.88 16.9252 16.8958 0.0294097 -0.0452431 61 16.88 16.9145 16.8892 0.0253819 -0.0345486 62 16.86 16.8973 16.8825 0.0147569 -0.0372569 63 16.88 16.8951 16.8792 0.0159375 -0.0151042 64 16.88 16.8803 16.8821 -0.00177083 -0.0003125 65 16.88 16.8684 16.8917 -0.0232986 0.0116319 66 16.88 16.8814 16.9042 -0.0228125 -0.00135417 67 16.88 16.8949 16.9158 -0.0209375 -0.0148958 68 16.87 16.911 16.9283 -0.0173264 -0.0410069 69 16.92 16.9295 16.9396 -0.0101042 -0.00947917 70 16.94 16.9403 16.9504 -0.0101042 -0.0003125 71 17.03 16.9817 16.9608 0.0208681 0.0482986 72 17.02 16.9948 16.9654 0.0294097 0.0251736 73 17.02 16.9916 16.9662 0.0253819 0.0283681 74 17.02 16.9827 16.9679 0.0147569 0.0373264 75 16.99 16.9839 16.9679 0.0159375 0.00614583 76 17.03 16.9657 16.9675 -0.00177083 0.0642708 77 16.98 16.9425 16.9658 -0.0232986 0.0374653 78 16.89 16.9384 16.9612 -0.0228125 -0.0484375 79 16.89 NA NA -0.0209375 NA 80 16.9 NA NA -0.0173264 NA 81 16.89 NA NA -0.0101042 NA 82 16.96 NA NA -0.0101042 NA 83 16.97 NA NA 0.0208681 NA 84 16.97 NA NA 0.0294097 NA

par2 <- as.numeric(par2)x <- ts(x,freq=par2)m <- decompose(x,type=par1)m$figurebitmap(file='test1.png')plot(m)dev.off()mylagmax <- length(x)/2bitmap(file='test2.png')op <- par(mfrow = c(2,2))acf(as.numeric(x),lag.max = mylagmax,main='Observed')acf(as.numeric(m$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')