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Author's title

Author*Unverified author*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationThu, 12 Dec 2013 17:25:22 -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/t1386887137i3h273f1600b0wr.htm/, Retrieved Sun, 05 Dec 2021 18:53:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232281, Retrieved Sun, 05 Dec 2021 18:53:59 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact55
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [] [2013-12-12 22:25:22] [f3e37d24265d1c1b6ba14664c97da4c0] [Current]
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Dataseries X:
1,31
1,32
1,32
1,33
1,33
1,33
1,34
1,33
1,32
1,31
1,31
1,33
1,34
1,33
1,33
1,34
1,34
1,34
1,35
1,35
1,35
1,34
1,35
1,36
1,35
1,36
1,36
1,36
1,37
1,39
1,39
1,38
1,37
1,39
1,38
1,4
1,41
1,4
1,42
1,43
1,44
1,44
1,44
1,46
1,46
1,49
1,49
1,48
1,49
1,5
1,5
1,5
1,47
1,49
1,49
1,5
1,52
1,52
1,52
1,52
1,53
1,54
1,51
1,49
1,49
1,49
1,48
1,49
1,49
1,47
1,49
1,49




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=232281&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=232281&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232281&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
11.31NANA0.006NA
21.32NANA0.0055NA
31.32NANA0.00075NA
41.33NANA-0.002NA
51.33NANA-0.00683333NA
61.33NANA-0.00166667NA
71.341.326421.324580.001833330.0135833
81.331.326421.326250.0001666670.00358333
91.321.323831.32708-0.00325-0.00383333
101.311.327751.32792-0.000166667-0.01775
111.311.325921.32875-0.00283333-0.0159167
121.331.332081.329580.0025-0.00208333
131.341.336421.330420.0060.00358333
141.331.337171.331670.0055-0.00716667
151.331.33451.333750.00075-0.0045
161.341.334251.33625-0.0020.00575
171.341.332331.33917-0.006833330.00766667
181.341.340421.34208-0.00166667-0.000416667
191.351.345581.343750.001833330.00441667
201.351.345581.345420.0001666670.00441667
211.351.344671.34792-0.003250.00533333
221.341.349831.35-0.000166667-0.00983333
231.351.349251.35208-0.002833330.00075
241.361.357921.355420.00250.00208333
251.351.365171.359170.006-0.0151667
261.361.367581.362080.0055-0.00758333
271.361.364921.364170.00075-0.00491667
281.361.365081.36708-0.002-0.00508333
291.371.363581.37042-0.006833330.00641667
301.391.371671.37333-0.001666670.0183333
311.391.379331.37750.001833330.0106667
321.381.381831.381670.000166667-0.00183333
331.371.382581.38583-0.00325-0.0125833
341.391.391081.39125-0.000166667-0.00108333
351.381.394251.39708-0.00283333-0.01425
361.41.404581.402080.0025-0.00458333
371.411.412251.406250.006-0.00225
381.41.417171.411670.0055-0.0171667
391.421.41951.418750.000755e-04
401.431.424671.42667-0.0020.00533333
411.441.428581.43542-0.006833330.0114167
421.441.441671.44333-0.00166667-0.00166667
431.441.451831.450.00183333-0.0118333
441.461.457671.45750.0001666670.00233333
451.461.461751.465-0.00325-0.00175
461.491.471081.47125-0.0001666670.0189167
471.491.472581.47542-0.002833330.0174167
481.481.481251.478750.0025-0.00125
491.491.488921.482920.0060.00108333
501.51.492171.486670.00550.00783333
511.51.491581.490830.000750.00841667
521.51.492581.49458-0.0020.00741667
531.471.490251.49708-0.00683333-0.02025
541.491.498331.5-0.00166667-0.00833333
551.491.505171.503330.00183333-0.0151667
561.51.506831.506670.000166667-0.00683333
571.521.50551.50875-0.003250.0145
581.521.508581.50875-0.0001666670.0114167
591.521.506331.50917-0.002833330.0136667
601.521.51251.510.00250.0075
611.531.515581.509580.0060.0144167
621.541.514251.508750.00550.02575
631.511.507831.507080.000750.00216667
641.491.501751.50375-0.002-0.01175
651.491.493581.50042-0.00683333-0.00358333
661.491.496251.49792-0.00166667-0.00625
671.48NANA0.00183333NA
681.49NANA0.000166667NA
691.49NANA-0.00325NA
701.47NANA-0.000166667NA
711.49NANA-0.00283333NA
721.49NANA0.0025NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 1.31 & NA & NA & 0.006 & NA \tabularnewline
2 & 1.32 & NA & NA & 0.0055 & NA \tabularnewline
3 & 1.32 & NA & NA & 0.00075 & NA \tabularnewline
4 & 1.33 & NA & NA & -0.002 & NA \tabularnewline
5 & 1.33 & NA & NA & -0.00683333 & NA \tabularnewline
6 & 1.33 & NA & NA & -0.00166667 & NA \tabularnewline
7 & 1.34 & 1.32642 & 1.32458 & 0.00183333 & 0.0135833 \tabularnewline
8 & 1.33 & 1.32642 & 1.32625 & 0.000166667 & 0.00358333 \tabularnewline
9 & 1.32 & 1.32383 & 1.32708 & -0.00325 & -0.00383333 \tabularnewline
10 & 1.31 & 1.32775 & 1.32792 & -0.000166667 & -0.01775 \tabularnewline
11 & 1.31 & 1.32592 & 1.32875 & -0.00283333 & -0.0159167 \tabularnewline
12 & 1.33 & 1.33208 & 1.32958 & 0.0025 & -0.00208333 \tabularnewline
13 & 1.34 & 1.33642 & 1.33042 & 0.006 & 0.00358333 \tabularnewline
14 & 1.33 & 1.33717 & 1.33167 & 0.0055 & -0.00716667 \tabularnewline
15 & 1.33 & 1.3345 & 1.33375 & 0.00075 & -0.0045 \tabularnewline
16 & 1.34 & 1.33425 & 1.33625 & -0.002 & 0.00575 \tabularnewline
17 & 1.34 & 1.33233 & 1.33917 & -0.00683333 & 0.00766667 \tabularnewline
18 & 1.34 & 1.34042 & 1.34208 & -0.00166667 & -0.000416667 \tabularnewline
19 & 1.35 & 1.34558 & 1.34375 & 0.00183333 & 0.00441667 \tabularnewline
20 & 1.35 & 1.34558 & 1.34542 & 0.000166667 & 0.00441667 \tabularnewline
21 & 1.35 & 1.34467 & 1.34792 & -0.00325 & 0.00533333 \tabularnewline
22 & 1.34 & 1.34983 & 1.35 & -0.000166667 & -0.00983333 \tabularnewline
23 & 1.35 & 1.34925 & 1.35208 & -0.00283333 & 0.00075 \tabularnewline
24 & 1.36 & 1.35792 & 1.35542 & 0.0025 & 0.00208333 \tabularnewline
25 & 1.35 & 1.36517 & 1.35917 & 0.006 & -0.0151667 \tabularnewline
26 & 1.36 & 1.36758 & 1.36208 & 0.0055 & -0.00758333 \tabularnewline
27 & 1.36 & 1.36492 & 1.36417 & 0.00075 & -0.00491667 \tabularnewline
28 & 1.36 & 1.36508 & 1.36708 & -0.002 & -0.00508333 \tabularnewline
29 & 1.37 & 1.36358 & 1.37042 & -0.00683333 & 0.00641667 \tabularnewline
30 & 1.39 & 1.37167 & 1.37333 & -0.00166667 & 0.0183333 \tabularnewline
31 & 1.39 & 1.37933 & 1.3775 & 0.00183333 & 0.0106667 \tabularnewline
32 & 1.38 & 1.38183 & 1.38167 & 0.000166667 & -0.00183333 \tabularnewline
33 & 1.37 & 1.38258 & 1.38583 & -0.00325 & -0.0125833 \tabularnewline
34 & 1.39 & 1.39108 & 1.39125 & -0.000166667 & -0.00108333 \tabularnewline
35 & 1.38 & 1.39425 & 1.39708 & -0.00283333 & -0.01425 \tabularnewline
36 & 1.4 & 1.40458 & 1.40208 & 0.0025 & -0.00458333 \tabularnewline
37 & 1.41 & 1.41225 & 1.40625 & 0.006 & -0.00225 \tabularnewline
38 & 1.4 & 1.41717 & 1.41167 & 0.0055 & -0.0171667 \tabularnewline
39 & 1.42 & 1.4195 & 1.41875 & 0.00075 & 5e-04 \tabularnewline
40 & 1.43 & 1.42467 & 1.42667 & -0.002 & 0.00533333 \tabularnewline
41 & 1.44 & 1.42858 & 1.43542 & -0.00683333 & 0.0114167 \tabularnewline
42 & 1.44 & 1.44167 & 1.44333 & -0.00166667 & -0.00166667 \tabularnewline
43 & 1.44 & 1.45183 & 1.45 & 0.00183333 & -0.0118333 \tabularnewline
44 & 1.46 & 1.45767 & 1.4575 & 0.000166667 & 0.00233333 \tabularnewline
45 & 1.46 & 1.46175 & 1.465 & -0.00325 & -0.00175 \tabularnewline
46 & 1.49 & 1.47108 & 1.47125 & -0.000166667 & 0.0189167 \tabularnewline
47 & 1.49 & 1.47258 & 1.47542 & -0.00283333 & 0.0174167 \tabularnewline
48 & 1.48 & 1.48125 & 1.47875 & 0.0025 & -0.00125 \tabularnewline
49 & 1.49 & 1.48892 & 1.48292 & 0.006 & 0.00108333 \tabularnewline
50 & 1.5 & 1.49217 & 1.48667 & 0.0055 & 0.00783333 \tabularnewline
51 & 1.5 & 1.49158 & 1.49083 & 0.00075 & 0.00841667 \tabularnewline
52 & 1.5 & 1.49258 & 1.49458 & -0.002 & 0.00741667 \tabularnewline
53 & 1.47 & 1.49025 & 1.49708 & -0.00683333 & -0.02025 \tabularnewline
54 & 1.49 & 1.49833 & 1.5 & -0.00166667 & -0.00833333 \tabularnewline
55 & 1.49 & 1.50517 & 1.50333 & 0.00183333 & -0.0151667 \tabularnewline
56 & 1.5 & 1.50683 & 1.50667 & 0.000166667 & -0.00683333 \tabularnewline
57 & 1.52 & 1.5055 & 1.50875 & -0.00325 & 0.0145 \tabularnewline
58 & 1.52 & 1.50858 & 1.50875 & -0.000166667 & 0.0114167 \tabularnewline
59 & 1.52 & 1.50633 & 1.50917 & -0.00283333 & 0.0136667 \tabularnewline
60 & 1.52 & 1.5125 & 1.51 & 0.0025 & 0.0075 \tabularnewline
61 & 1.53 & 1.51558 & 1.50958 & 0.006 & 0.0144167 \tabularnewline
62 & 1.54 & 1.51425 & 1.50875 & 0.0055 & 0.02575 \tabularnewline
63 & 1.51 & 1.50783 & 1.50708 & 0.00075 & 0.00216667 \tabularnewline
64 & 1.49 & 1.50175 & 1.50375 & -0.002 & -0.01175 \tabularnewline
65 & 1.49 & 1.49358 & 1.50042 & -0.00683333 & -0.00358333 \tabularnewline
66 & 1.49 & 1.49625 & 1.49792 & -0.00166667 & -0.00625 \tabularnewline
67 & 1.48 & NA & NA & 0.00183333 & NA \tabularnewline
68 & 1.49 & NA & NA & 0.000166667 & NA \tabularnewline
69 & 1.49 & NA & NA & -0.00325 & NA \tabularnewline
70 & 1.47 & NA & NA & -0.000166667 & NA \tabularnewline
71 & 1.49 & NA & NA & -0.00283333 & NA \tabularnewline
72 & 1.49 & NA & NA & 0.0025 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232281&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]1.31[/C][C]NA[/C][C]NA[/C][C]0.006[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]1.32[/C][C]NA[/C][C]NA[/C][C]0.0055[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]1.32[/C][C]NA[/C][C]NA[/C][C]0.00075[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]1.33[/C][C]NA[/C][C]NA[/C][C]-0.002[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]1.33[/C][C]NA[/C][C]NA[/C][C]-0.00683333[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]1.33[/C][C]NA[/C][C]NA[/C][C]-0.00166667[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]1.34[/C][C]1.32642[/C][C]1.32458[/C][C]0.00183333[/C][C]0.0135833[/C][/ROW]
[ROW][C]8[/C][C]1.33[/C][C]1.32642[/C][C]1.32625[/C][C]0.000166667[/C][C]0.00358333[/C][/ROW]
[ROW][C]9[/C][C]1.32[/C][C]1.32383[/C][C]1.32708[/C][C]-0.00325[/C][C]-0.00383333[/C][/ROW]
[ROW][C]10[/C][C]1.31[/C][C]1.32775[/C][C]1.32792[/C][C]-0.000166667[/C][C]-0.01775[/C][/ROW]
[ROW][C]11[/C][C]1.31[/C][C]1.32592[/C][C]1.32875[/C][C]-0.00283333[/C][C]-0.0159167[/C][/ROW]
[ROW][C]12[/C][C]1.33[/C][C]1.33208[/C][C]1.32958[/C][C]0.0025[/C][C]-0.00208333[/C][/ROW]
[ROW][C]13[/C][C]1.34[/C][C]1.33642[/C][C]1.33042[/C][C]0.006[/C][C]0.00358333[/C][/ROW]
[ROW][C]14[/C][C]1.33[/C][C]1.33717[/C][C]1.33167[/C][C]0.0055[/C][C]-0.00716667[/C][/ROW]
[ROW][C]15[/C][C]1.33[/C][C]1.3345[/C][C]1.33375[/C][C]0.00075[/C][C]-0.0045[/C][/ROW]
[ROW][C]16[/C][C]1.34[/C][C]1.33425[/C][C]1.33625[/C][C]-0.002[/C][C]0.00575[/C][/ROW]
[ROW][C]17[/C][C]1.34[/C][C]1.33233[/C][C]1.33917[/C][C]-0.00683333[/C][C]0.00766667[/C][/ROW]
[ROW][C]18[/C][C]1.34[/C][C]1.34042[/C][C]1.34208[/C][C]-0.00166667[/C][C]-0.000416667[/C][/ROW]
[ROW][C]19[/C][C]1.35[/C][C]1.34558[/C][C]1.34375[/C][C]0.00183333[/C][C]0.00441667[/C][/ROW]
[ROW][C]20[/C][C]1.35[/C][C]1.34558[/C][C]1.34542[/C][C]0.000166667[/C][C]0.00441667[/C][/ROW]
[ROW][C]21[/C][C]1.35[/C][C]1.34467[/C][C]1.34792[/C][C]-0.00325[/C][C]0.00533333[/C][/ROW]
[ROW][C]22[/C][C]1.34[/C][C]1.34983[/C][C]1.35[/C][C]-0.000166667[/C][C]-0.00983333[/C][/ROW]
[ROW][C]23[/C][C]1.35[/C][C]1.34925[/C][C]1.35208[/C][C]-0.00283333[/C][C]0.00075[/C][/ROW]
[ROW][C]24[/C][C]1.36[/C][C]1.35792[/C][C]1.35542[/C][C]0.0025[/C][C]0.00208333[/C][/ROW]
[ROW][C]25[/C][C]1.35[/C][C]1.36517[/C][C]1.35917[/C][C]0.006[/C][C]-0.0151667[/C][/ROW]
[ROW][C]26[/C][C]1.36[/C][C]1.36758[/C][C]1.36208[/C][C]0.0055[/C][C]-0.00758333[/C][/ROW]
[ROW][C]27[/C][C]1.36[/C][C]1.36492[/C][C]1.36417[/C][C]0.00075[/C][C]-0.00491667[/C][/ROW]
[ROW][C]28[/C][C]1.36[/C][C]1.36508[/C][C]1.36708[/C][C]-0.002[/C][C]-0.00508333[/C][/ROW]
[ROW][C]29[/C][C]1.37[/C][C]1.36358[/C][C]1.37042[/C][C]-0.00683333[/C][C]0.00641667[/C][/ROW]
[ROW][C]30[/C][C]1.39[/C][C]1.37167[/C][C]1.37333[/C][C]-0.00166667[/C][C]0.0183333[/C][/ROW]
[ROW][C]31[/C][C]1.39[/C][C]1.37933[/C][C]1.3775[/C][C]0.00183333[/C][C]0.0106667[/C][/ROW]
[ROW][C]32[/C][C]1.38[/C][C]1.38183[/C][C]1.38167[/C][C]0.000166667[/C][C]-0.00183333[/C][/ROW]
[ROW][C]33[/C][C]1.37[/C][C]1.38258[/C][C]1.38583[/C][C]-0.00325[/C][C]-0.0125833[/C][/ROW]
[ROW][C]34[/C][C]1.39[/C][C]1.39108[/C][C]1.39125[/C][C]-0.000166667[/C][C]-0.00108333[/C][/ROW]
[ROW][C]35[/C][C]1.38[/C][C]1.39425[/C][C]1.39708[/C][C]-0.00283333[/C][C]-0.01425[/C][/ROW]
[ROW][C]36[/C][C]1.4[/C][C]1.40458[/C][C]1.40208[/C][C]0.0025[/C][C]-0.00458333[/C][/ROW]
[ROW][C]37[/C][C]1.41[/C][C]1.41225[/C][C]1.40625[/C][C]0.006[/C][C]-0.00225[/C][/ROW]
[ROW][C]38[/C][C]1.4[/C][C]1.41717[/C][C]1.41167[/C][C]0.0055[/C][C]-0.0171667[/C][/ROW]
[ROW][C]39[/C][C]1.42[/C][C]1.4195[/C][C]1.41875[/C][C]0.00075[/C][C]5e-04[/C][/ROW]
[ROW][C]40[/C][C]1.43[/C][C]1.42467[/C][C]1.42667[/C][C]-0.002[/C][C]0.00533333[/C][/ROW]
[ROW][C]41[/C][C]1.44[/C][C]1.42858[/C][C]1.43542[/C][C]-0.00683333[/C][C]0.0114167[/C][/ROW]
[ROW][C]42[/C][C]1.44[/C][C]1.44167[/C][C]1.44333[/C][C]-0.00166667[/C][C]-0.00166667[/C][/ROW]
[ROW][C]43[/C][C]1.44[/C][C]1.45183[/C][C]1.45[/C][C]0.00183333[/C][C]-0.0118333[/C][/ROW]
[ROW][C]44[/C][C]1.46[/C][C]1.45767[/C][C]1.4575[/C][C]0.000166667[/C][C]0.00233333[/C][/ROW]
[ROW][C]45[/C][C]1.46[/C][C]1.46175[/C][C]1.465[/C][C]-0.00325[/C][C]-0.00175[/C][/ROW]
[ROW][C]46[/C][C]1.49[/C][C]1.47108[/C][C]1.47125[/C][C]-0.000166667[/C][C]0.0189167[/C][/ROW]
[ROW][C]47[/C][C]1.49[/C][C]1.47258[/C][C]1.47542[/C][C]-0.00283333[/C][C]0.0174167[/C][/ROW]
[ROW][C]48[/C][C]1.48[/C][C]1.48125[/C][C]1.47875[/C][C]0.0025[/C][C]-0.00125[/C][/ROW]
[ROW][C]49[/C][C]1.49[/C][C]1.48892[/C][C]1.48292[/C][C]0.006[/C][C]0.00108333[/C][/ROW]
[ROW][C]50[/C][C]1.5[/C][C]1.49217[/C][C]1.48667[/C][C]0.0055[/C][C]0.00783333[/C][/ROW]
[ROW][C]51[/C][C]1.5[/C][C]1.49158[/C][C]1.49083[/C][C]0.00075[/C][C]0.00841667[/C][/ROW]
[ROW][C]52[/C][C]1.5[/C][C]1.49258[/C][C]1.49458[/C][C]-0.002[/C][C]0.00741667[/C][/ROW]
[ROW][C]53[/C][C]1.47[/C][C]1.49025[/C][C]1.49708[/C][C]-0.00683333[/C][C]-0.02025[/C][/ROW]
[ROW][C]54[/C][C]1.49[/C][C]1.49833[/C][C]1.5[/C][C]-0.00166667[/C][C]-0.00833333[/C][/ROW]
[ROW][C]55[/C][C]1.49[/C][C]1.50517[/C][C]1.50333[/C][C]0.00183333[/C][C]-0.0151667[/C][/ROW]
[ROW][C]56[/C][C]1.5[/C][C]1.50683[/C][C]1.50667[/C][C]0.000166667[/C][C]-0.00683333[/C][/ROW]
[ROW][C]57[/C][C]1.52[/C][C]1.5055[/C][C]1.50875[/C][C]-0.00325[/C][C]0.0145[/C][/ROW]
[ROW][C]58[/C][C]1.52[/C][C]1.50858[/C][C]1.50875[/C][C]-0.000166667[/C][C]0.0114167[/C][/ROW]
[ROW][C]59[/C][C]1.52[/C][C]1.50633[/C][C]1.50917[/C][C]-0.00283333[/C][C]0.0136667[/C][/ROW]
[ROW][C]60[/C][C]1.52[/C][C]1.5125[/C][C]1.51[/C][C]0.0025[/C][C]0.0075[/C][/ROW]
[ROW][C]61[/C][C]1.53[/C][C]1.51558[/C][C]1.50958[/C][C]0.006[/C][C]0.0144167[/C][/ROW]
[ROW][C]62[/C][C]1.54[/C][C]1.51425[/C][C]1.50875[/C][C]0.0055[/C][C]0.02575[/C][/ROW]
[ROW][C]63[/C][C]1.51[/C][C]1.50783[/C][C]1.50708[/C][C]0.00075[/C][C]0.00216667[/C][/ROW]
[ROW][C]64[/C][C]1.49[/C][C]1.50175[/C][C]1.50375[/C][C]-0.002[/C][C]-0.01175[/C][/ROW]
[ROW][C]65[/C][C]1.49[/C][C]1.49358[/C][C]1.50042[/C][C]-0.00683333[/C][C]-0.00358333[/C][/ROW]
[ROW][C]66[/C][C]1.49[/C][C]1.49625[/C][C]1.49792[/C][C]-0.00166667[/C][C]-0.00625[/C][/ROW]
[ROW][C]67[/C][C]1.48[/C][C]NA[/C][C]NA[/C][C]0.00183333[/C][C]NA[/C][/ROW]
[ROW][C]68[/C][C]1.49[/C][C]NA[/C][C]NA[/C][C]0.000166667[/C][C]NA[/C][/ROW]
[ROW][C]69[/C][C]1.49[/C][C]NA[/C][C]NA[/C][C]-0.00325[/C][C]NA[/C][/ROW]
[ROW][C]70[/C][C]1.47[/C][C]NA[/C][C]NA[/C][C]-0.000166667[/C][C]NA[/C][/ROW]
[ROW][C]71[/C][C]1.49[/C][C]NA[/C][C]NA[/C][C]-0.00283333[/C][C]NA[/C][/ROW]
[ROW][C]72[/C][C]1.49[/C][C]NA[/C][C]NA[/C][C]0.0025[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232281&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232281&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
11.31NANA0.006NA
21.32NANA0.0055NA
31.32NANA0.00075NA
41.33NANA-0.002NA
51.33NANA-0.00683333NA
61.33NANA-0.00166667NA
71.341.326421.324580.001833330.0135833
81.331.326421.326250.0001666670.00358333
91.321.323831.32708-0.00325-0.00383333
101.311.327751.32792-0.000166667-0.01775
111.311.325921.32875-0.00283333-0.0159167
121.331.332081.329580.0025-0.00208333
131.341.336421.330420.0060.00358333
141.331.337171.331670.0055-0.00716667
151.331.33451.333750.00075-0.0045
161.341.334251.33625-0.0020.00575
171.341.332331.33917-0.006833330.00766667
181.341.340421.34208-0.00166667-0.000416667
191.351.345581.343750.001833330.00441667
201.351.345581.345420.0001666670.00441667
211.351.344671.34792-0.003250.00533333
221.341.349831.35-0.000166667-0.00983333
231.351.349251.35208-0.002833330.00075
241.361.357921.355420.00250.00208333
251.351.365171.359170.006-0.0151667
261.361.367581.362080.0055-0.00758333
271.361.364921.364170.00075-0.00491667
281.361.365081.36708-0.002-0.00508333
291.371.363581.37042-0.006833330.00641667
301.391.371671.37333-0.001666670.0183333
311.391.379331.37750.001833330.0106667
321.381.381831.381670.000166667-0.00183333
331.371.382581.38583-0.00325-0.0125833
341.391.391081.39125-0.000166667-0.00108333
351.381.394251.39708-0.00283333-0.01425
361.41.404581.402080.0025-0.00458333
371.411.412251.406250.006-0.00225
381.41.417171.411670.0055-0.0171667
391.421.41951.418750.000755e-04
401.431.424671.42667-0.0020.00533333
411.441.428581.43542-0.006833330.0114167
421.441.441671.44333-0.00166667-0.00166667
431.441.451831.450.00183333-0.0118333
441.461.457671.45750.0001666670.00233333
451.461.461751.465-0.00325-0.00175
461.491.471081.47125-0.0001666670.0189167
471.491.472581.47542-0.002833330.0174167
481.481.481251.478750.0025-0.00125
491.491.488921.482920.0060.00108333
501.51.492171.486670.00550.00783333
511.51.491581.490830.000750.00841667
521.51.492581.49458-0.0020.00741667
531.471.490251.49708-0.00683333-0.02025
541.491.498331.5-0.00166667-0.00833333
551.491.505171.503330.00183333-0.0151667
561.51.506831.506670.000166667-0.00683333
571.521.50551.50875-0.003250.0145
581.521.508581.50875-0.0001666670.0114167
591.521.506331.50917-0.002833330.0136667
601.521.51251.510.00250.0075
611.531.515581.509580.0060.0144167
621.541.514251.508750.00550.02575
631.511.507831.507080.000750.00216667
641.491.501751.50375-0.002-0.01175
651.491.493581.50042-0.00683333-0.00358333
661.491.496251.49792-0.00166667-0.00625
671.48NANA0.00183333NA
681.49NANA0.000166667NA
691.49NANA-0.00325NA
701.47NANA-0.000166667NA
711.49NANA-0.00283333NA
721.49NANA0.0025NA



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')