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Author*Unverified author*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationFri, 06 Dec 2013 10:09:55 -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/06/t13863426344jbompy7y62kvix.htm/, Retrieved Thu, 28 Mar 2024 16:04:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231326, Retrieved Thu, 28 Mar 2024 16:04:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact122
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [] [2013-12-06 15:09:55] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
20,89
21,04
21,07
21,12
21,25
21,24
21,24
21,22
21,29
21,25
21,15
21,16
21,16
21,52
21,59
21,6
21,68
21,67
21,67
21,65
21,74
21,72
21,84
21,94
21,94
21,95
21,96
22,1
22,13
22,18
22,18
22,27
22,3
22,04
22,05
22,06
22,06
22,06
21,97
22,03
22,08
22,13
22,13
22,4
22,4
22,12
22,22
22,14
22,14
22,19
22,29
22,24
22,26
22,29
22,29
22,29
22,29
22,35
22,39
22,43
22,43
22,11
22,12
22,05
22,05
22,08
22,08
22,09
22,09
22,24
22,25
22,24
22,24
22,25
22,28
22,23
22,29
22,31
22,31
22,31
22,39
22,42
22,42
22,42




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231326&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231326&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231326&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 time5 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
120.89NANA-0.0243576NA
221.04NANA-0.0210243NA
321.07NANA-0.014566NA
421.12NANA-0.0236632NA
521.25NANA-0.000607639NA
621.24NANA0.0101563NA
721.2421.178721.17120.007447920.0613021
821.2221.247221.20250.0446701-0.0271701
921.2921.303721.24420.0595313-0.0136979
1021.2521.264321.2858-0.0215799-0.0142535
1121.1521.317221.3238-0.00651042-0.16724
1221.1621.350121.3596-0.00949653-0.190087
1321.1621.371121.3954-0.0243576-0.211059
1421.5221.410221.4312-0.02102430.109774
1521.5921.453421.4679-0.0145660.136649
1621.621.482621.5062-0.02366320.117413
1721.6821.55421.5546-0.0006076390.126024
1821.6721.62621.61580.01015630.0440104
1921.6721.688321.68080.00744792-0.0182813
2021.6521.775921.73130.0446701-0.12592
2121.7421.824121.76460.0595313-0.0841146
2221.7221.779321.8008-0.0215799-0.0592535
2321.8421.833921.8404-0.006510420.00609375
2421.9421.870921.8804-0.009496530.0690799
2521.9421.898621.9229-0.02435760.041441
2621.9521.94921.97-0.02102430.00102431
2721.9622.004622.0192-0.014566-0.0446007
2822.122.032222.0558-0.02366320.0678299
2922.1322.077322.0779-0.0006076390.052691
3022.1822.101822.09170.01015630.0781771
3122.1822.109122.10170.007447920.0708854
3222.2722.155922.11120.04467010.11408
3322.322.175822.11620.05953130.124219
3422.0422.092222.1138-0.0215799-0.0521701
3522.0522.102222.1087-0.00651042-0.0522396
3622.0622.095122.1046-0.00949653-0.0350868
3722.0622.076122.1004-0.0243576-0.016059
3822.0622.082722.1037-0.0210243-0.0227257
3921.9722.098822.1133-0.014566-0.128767
4022.0322.097222.1208-0.0236632-0.0671701
4122.0822.130622.1312-0.000607639-0.0506424
4222.1322.151822.14170.0101563-0.0218229
4322.1322.155822.14830.00744792-0.0257813
4422.422.201822.15710.04467010.198247
4522.422.235422.17580.05953130.164635
4622.1222.176322.1979-0.0215799-0.0563368
4722.2222.207722.2142-0.006510420.0123437
4822.1422.218822.2283-0.00949653-0.0788368
4922.1422.217322.2417-0.0243576-0.077309
5022.1922.222722.2438-0.0210243-0.0327257
5122.2922.2222.2346-0.0145660.0699826
5222.2422.215922.2396-0.02366320.0240799
5322.2622.255622.2562-0.0006076390.00435764
5422.2922.285622.27540.01015630.00442708
5522.2922.30722.29960.00744792-0.0170312
5622.2922.35322.30830.0446701-0.0630035
5722.2922.357422.29790.0595313-0.0674479
5822.3522.261322.2829-0.02157990.0886632
5922.3922.259722.2662-0.006510420.13026
6022.4322.239322.2487-0.009496530.190747
6122.4322.206922.2312-0.02435760.223108
6222.1122.193122.2142-0.0210243-0.0831424
6322.1222.182922.1975-0.014566-0.062934
6422.0522.160922.1846-0.0236632-0.11092
6522.0522.173622.1742-0.000607639-0.123559
6622.0822.170622.16040.0101563-0.0905729
6722.0822.15222.14460.00744792-0.0720313
6822.0922.187222.14250.0446701-0.0971701
6922.0922.214522.1550.0595313-0.124531
7022.2422.147622.1692-0.02157990.0924132
7122.2522.180222.1867-0.006510420.0698438
7222.2422.196822.2062-0.009496530.0432465
7322.2422.201122.2254-0.02435760.038941
7422.2522.223122.2442-0.02102430.0268576
7522.2822.251322.2658-0.0145660.0287326
7622.2322.262222.2858-0.0236632-0.0321701
7722.2922.299822.3004-0.000607639-0.00980903
7822.3122.325222.3150.0101563-0.0151563
7922.31NANA0.00744792NA
8022.31NANA0.0446701NA
8122.39NANA0.0595313NA
8222.42NANA-0.0215799NA
8322.42NANA-0.00651042NA
8422.42NANA-0.00949653NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 20.89 & NA & NA & -0.0243576 & NA \tabularnewline
2 & 21.04 & NA & NA & -0.0210243 & NA \tabularnewline
3 & 21.07 & NA & NA & -0.014566 & NA \tabularnewline
4 & 21.12 & NA & NA & -0.0236632 & NA \tabularnewline
5 & 21.25 & NA & NA & -0.000607639 & NA \tabularnewline
6 & 21.24 & NA & NA & 0.0101563 & NA \tabularnewline
7 & 21.24 & 21.1787 & 21.1712 & 0.00744792 & 0.0613021 \tabularnewline
8 & 21.22 & 21.2472 & 21.2025 & 0.0446701 & -0.0271701 \tabularnewline
9 & 21.29 & 21.3037 & 21.2442 & 0.0595313 & -0.0136979 \tabularnewline
10 & 21.25 & 21.2643 & 21.2858 & -0.0215799 & -0.0142535 \tabularnewline
11 & 21.15 & 21.3172 & 21.3238 & -0.00651042 & -0.16724 \tabularnewline
12 & 21.16 & 21.3501 & 21.3596 & -0.00949653 & -0.190087 \tabularnewline
13 & 21.16 & 21.3711 & 21.3954 & -0.0243576 & -0.211059 \tabularnewline
14 & 21.52 & 21.4102 & 21.4312 & -0.0210243 & 0.109774 \tabularnewline
15 & 21.59 & 21.4534 & 21.4679 & -0.014566 & 0.136649 \tabularnewline
16 & 21.6 & 21.4826 & 21.5062 & -0.0236632 & 0.117413 \tabularnewline
17 & 21.68 & 21.554 & 21.5546 & -0.000607639 & 0.126024 \tabularnewline
18 & 21.67 & 21.626 & 21.6158 & 0.0101563 & 0.0440104 \tabularnewline
19 & 21.67 & 21.6883 & 21.6808 & 0.00744792 & -0.0182813 \tabularnewline
20 & 21.65 & 21.7759 & 21.7313 & 0.0446701 & -0.12592 \tabularnewline
21 & 21.74 & 21.8241 & 21.7646 & 0.0595313 & -0.0841146 \tabularnewline
22 & 21.72 & 21.7793 & 21.8008 & -0.0215799 & -0.0592535 \tabularnewline
23 & 21.84 & 21.8339 & 21.8404 & -0.00651042 & 0.00609375 \tabularnewline
24 & 21.94 & 21.8709 & 21.8804 & -0.00949653 & 0.0690799 \tabularnewline
25 & 21.94 & 21.8986 & 21.9229 & -0.0243576 & 0.041441 \tabularnewline
26 & 21.95 & 21.949 & 21.97 & -0.0210243 & 0.00102431 \tabularnewline
27 & 21.96 & 22.0046 & 22.0192 & -0.014566 & -0.0446007 \tabularnewline
28 & 22.1 & 22.0322 & 22.0558 & -0.0236632 & 0.0678299 \tabularnewline
29 & 22.13 & 22.0773 & 22.0779 & -0.000607639 & 0.052691 \tabularnewline
30 & 22.18 & 22.1018 & 22.0917 & 0.0101563 & 0.0781771 \tabularnewline
31 & 22.18 & 22.1091 & 22.1017 & 0.00744792 & 0.0708854 \tabularnewline
32 & 22.27 & 22.1559 & 22.1112 & 0.0446701 & 0.11408 \tabularnewline
33 & 22.3 & 22.1758 & 22.1162 & 0.0595313 & 0.124219 \tabularnewline
34 & 22.04 & 22.0922 & 22.1138 & -0.0215799 & -0.0521701 \tabularnewline
35 & 22.05 & 22.1022 & 22.1087 & -0.00651042 & -0.0522396 \tabularnewline
36 & 22.06 & 22.0951 & 22.1046 & -0.00949653 & -0.0350868 \tabularnewline
37 & 22.06 & 22.0761 & 22.1004 & -0.0243576 & -0.016059 \tabularnewline
38 & 22.06 & 22.0827 & 22.1037 & -0.0210243 & -0.0227257 \tabularnewline
39 & 21.97 & 22.0988 & 22.1133 & -0.014566 & -0.128767 \tabularnewline
40 & 22.03 & 22.0972 & 22.1208 & -0.0236632 & -0.0671701 \tabularnewline
41 & 22.08 & 22.1306 & 22.1312 & -0.000607639 & -0.0506424 \tabularnewline
42 & 22.13 & 22.1518 & 22.1417 & 0.0101563 & -0.0218229 \tabularnewline
43 & 22.13 & 22.1558 & 22.1483 & 0.00744792 & -0.0257813 \tabularnewline
44 & 22.4 & 22.2018 & 22.1571 & 0.0446701 & 0.198247 \tabularnewline
45 & 22.4 & 22.2354 & 22.1758 & 0.0595313 & 0.164635 \tabularnewline
46 & 22.12 & 22.1763 & 22.1979 & -0.0215799 & -0.0563368 \tabularnewline
47 & 22.22 & 22.2077 & 22.2142 & -0.00651042 & 0.0123437 \tabularnewline
48 & 22.14 & 22.2188 & 22.2283 & -0.00949653 & -0.0788368 \tabularnewline
49 & 22.14 & 22.2173 & 22.2417 & -0.0243576 & -0.077309 \tabularnewline
50 & 22.19 & 22.2227 & 22.2438 & -0.0210243 & -0.0327257 \tabularnewline
51 & 22.29 & 22.22 & 22.2346 & -0.014566 & 0.0699826 \tabularnewline
52 & 22.24 & 22.2159 & 22.2396 & -0.0236632 & 0.0240799 \tabularnewline
53 & 22.26 & 22.2556 & 22.2562 & -0.000607639 & 0.00435764 \tabularnewline
54 & 22.29 & 22.2856 & 22.2754 & 0.0101563 & 0.00442708 \tabularnewline
55 & 22.29 & 22.307 & 22.2996 & 0.00744792 & -0.0170312 \tabularnewline
56 & 22.29 & 22.353 & 22.3083 & 0.0446701 & -0.0630035 \tabularnewline
57 & 22.29 & 22.3574 & 22.2979 & 0.0595313 & -0.0674479 \tabularnewline
58 & 22.35 & 22.2613 & 22.2829 & -0.0215799 & 0.0886632 \tabularnewline
59 & 22.39 & 22.2597 & 22.2662 & -0.00651042 & 0.13026 \tabularnewline
60 & 22.43 & 22.2393 & 22.2487 & -0.00949653 & 0.190747 \tabularnewline
61 & 22.43 & 22.2069 & 22.2312 & -0.0243576 & 0.223108 \tabularnewline
62 & 22.11 & 22.1931 & 22.2142 & -0.0210243 & -0.0831424 \tabularnewline
63 & 22.12 & 22.1829 & 22.1975 & -0.014566 & -0.062934 \tabularnewline
64 & 22.05 & 22.1609 & 22.1846 & -0.0236632 & -0.11092 \tabularnewline
65 & 22.05 & 22.1736 & 22.1742 & -0.000607639 & -0.123559 \tabularnewline
66 & 22.08 & 22.1706 & 22.1604 & 0.0101563 & -0.0905729 \tabularnewline
67 & 22.08 & 22.152 & 22.1446 & 0.00744792 & -0.0720313 \tabularnewline
68 & 22.09 & 22.1872 & 22.1425 & 0.0446701 & -0.0971701 \tabularnewline
69 & 22.09 & 22.2145 & 22.155 & 0.0595313 & -0.124531 \tabularnewline
70 & 22.24 & 22.1476 & 22.1692 & -0.0215799 & 0.0924132 \tabularnewline
71 & 22.25 & 22.1802 & 22.1867 & -0.00651042 & 0.0698438 \tabularnewline
72 & 22.24 & 22.1968 & 22.2062 & -0.00949653 & 0.0432465 \tabularnewline
73 & 22.24 & 22.2011 & 22.2254 & -0.0243576 & 0.038941 \tabularnewline
74 & 22.25 & 22.2231 & 22.2442 & -0.0210243 & 0.0268576 \tabularnewline
75 & 22.28 & 22.2513 & 22.2658 & -0.014566 & 0.0287326 \tabularnewline
76 & 22.23 & 22.2622 & 22.2858 & -0.0236632 & -0.0321701 \tabularnewline
77 & 22.29 & 22.2998 & 22.3004 & -0.000607639 & -0.00980903 \tabularnewline
78 & 22.31 & 22.3252 & 22.315 & 0.0101563 & -0.0151563 \tabularnewline
79 & 22.31 & NA & NA & 0.00744792 & NA \tabularnewline
80 & 22.31 & NA & NA & 0.0446701 & NA \tabularnewline
81 & 22.39 & NA & NA & 0.0595313 & NA \tabularnewline
82 & 22.42 & NA & NA & -0.0215799 & NA \tabularnewline
83 & 22.42 & NA & NA & -0.00651042 & NA \tabularnewline
84 & 22.42 & NA & NA & -0.00949653 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231326&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]20.89[/C][C]NA[/C][C]NA[/C][C]-0.0243576[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]21.04[/C][C]NA[/C][C]NA[/C][C]-0.0210243[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]21.07[/C][C]NA[/C][C]NA[/C][C]-0.014566[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]21.12[/C][C]NA[/C][C]NA[/C][C]-0.0236632[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]21.25[/C][C]NA[/C][C]NA[/C][C]-0.000607639[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]21.24[/C][C]NA[/C][C]NA[/C][C]0.0101563[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]21.24[/C][C]21.1787[/C][C]21.1712[/C][C]0.00744792[/C][C]0.0613021[/C][/ROW]
[ROW][C]8[/C][C]21.22[/C][C]21.2472[/C][C]21.2025[/C][C]0.0446701[/C][C]-0.0271701[/C][/ROW]
[ROW][C]9[/C][C]21.29[/C][C]21.3037[/C][C]21.2442[/C][C]0.0595313[/C][C]-0.0136979[/C][/ROW]
[ROW][C]10[/C][C]21.25[/C][C]21.2643[/C][C]21.2858[/C][C]-0.0215799[/C][C]-0.0142535[/C][/ROW]
[ROW][C]11[/C][C]21.15[/C][C]21.3172[/C][C]21.3238[/C][C]-0.00651042[/C][C]-0.16724[/C][/ROW]
[ROW][C]12[/C][C]21.16[/C][C]21.3501[/C][C]21.3596[/C][C]-0.00949653[/C][C]-0.190087[/C][/ROW]
[ROW][C]13[/C][C]21.16[/C][C]21.3711[/C][C]21.3954[/C][C]-0.0243576[/C][C]-0.211059[/C][/ROW]
[ROW][C]14[/C][C]21.52[/C][C]21.4102[/C][C]21.4312[/C][C]-0.0210243[/C][C]0.109774[/C][/ROW]
[ROW][C]15[/C][C]21.59[/C][C]21.4534[/C][C]21.4679[/C][C]-0.014566[/C][C]0.136649[/C][/ROW]
[ROW][C]16[/C][C]21.6[/C][C]21.4826[/C][C]21.5062[/C][C]-0.0236632[/C][C]0.117413[/C][/ROW]
[ROW][C]17[/C][C]21.68[/C][C]21.554[/C][C]21.5546[/C][C]-0.000607639[/C][C]0.126024[/C][/ROW]
[ROW][C]18[/C][C]21.67[/C][C]21.626[/C][C]21.6158[/C][C]0.0101563[/C][C]0.0440104[/C][/ROW]
[ROW][C]19[/C][C]21.67[/C][C]21.6883[/C][C]21.6808[/C][C]0.00744792[/C][C]-0.0182813[/C][/ROW]
[ROW][C]20[/C][C]21.65[/C][C]21.7759[/C][C]21.7313[/C][C]0.0446701[/C][C]-0.12592[/C][/ROW]
[ROW][C]21[/C][C]21.74[/C][C]21.8241[/C][C]21.7646[/C][C]0.0595313[/C][C]-0.0841146[/C][/ROW]
[ROW][C]22[/C][C]21.72[/C][C]21.7793[/C][C]21.8008[/C][C]-0.0215799[/C][C]-0.0592535[/C][/ROW]
[ROW][C]23[/C][C]21.84[/C][C]21.8339[/C][C]21.8404[/C][C]-0.00651042[/C][C]0.00609375[/C][/ROW]
[ROW][C]24[/C][C]21.94[/C][C]21.8709[/C][C]21.8804[/C][C]-0.00949653[/C][C]0.0690799[/C][/ROW]
[ROW][C]25[/C][C]21.94[/C][C]21.8986[/C][C]21.9229[/C][C]-0.0243576[/C][C]0.041441[/C][/ROW]
[ROW][C]26[/C][C]21.95[/C][C]21.949[/C][C]21.97[/C][C]-0.0210243[/C][C]0.00102431[/C][/ROW]
[ROW][C]27[/C][C]21.96[/C][C]22.0046[/C][C]22.0192[/C][C]-0.014566[/C][C]-0.0446007[/C][/ROW]
[ROW][C]28[/C][C]22.1[/C][C]22.0322[/C][C]22.0558[/C][C]-0.0236632[/C][C]0.0678299[/C][/ROW]
[ROW][C]29[/C][C]22.13[/C][C]22.0773[/C][C]22.0779[/C][C]-0.000607639[/C][C]0.052691[/C][/ROW]
[ROW][C]30[/C][C]22.18[/C][C]22.1018[/C][C]22.0917[/C][C]0.0101563[/C][C]0.0781771[/C][/ROW]
[ROW][C]31[/C][C]22.18[/C][C]22.1091[/C][C]22.1017[/C][C]0.00744792[/C][C]0.0708854[/C][/ROW]
[ROW][C]32[/C][C]22.27[/C][C]22.1559[/C][C]22.1112[/C][C]0.0446701[/C][C]0.11408[/C][/ROW]
[ROW][C]33[/C][C]22.3[/C][C]22.1758[/C][C]22.1162[/C][C]0.0595313[/C][C]0.124219[/C][/ROW]
[ROW][C]34[/C][C]22.04[/C][C]22.0922[/C][C]22.1138[/C][C]-0.0215799[/C][C]-0.0521701[/C][/ROW]
[ROW][C]35[/C][C]22.05[/C][C]22.1022[/C][C]22.1087[/C][C]-0.00651042[/C][C]-0.0522396[/C][/ROW]
[ROW][C]36[/C][C]22.06[/C][C]22.0951[/C][C]22.1046[/C][C]-0.00949653[/C][C]-0.0350868[/C][/ROW]
[ROW][C]37[/C][C]22.06[/C][C]22.0761[/C][C]22.1004[/C][C]-0.0243576[/C][C]-0.016059[/C][/ROW]
[ROW][C]38[/C][C]22.06[/C][C]22.0827[/C][C]22.1037[/C][C]-0.0210243[/C][C]-0.0227257[/C][/ROW]
[ROW][C]39[/C][C]21.97[/C][C]22.0988[/C][C]22.1133[/C][C]-0.014566[/C][C]-0.128767[/C][/ROW]
[ROW][C]40[/C][C]22.03[/C][C]22.0972[/C][C]22.1208[/C][C]-0.0236632[/C][C]-0.0671701[/C][/ROW]
[ROW][C]41[/C][C]22.08[/C][C]22.1306[/C][C]22.1312[/C][C]-0.000607639[/C][C]-0.0506424[/C][/ROW]
[ROW][C]42[/C][C]22.13[/C][C]22.1518[/C][C]22.1417[/C][C]0.0101563[/C][C]-0.0218229[/C][/ROW]
[ROW][C]43[/C][C]22.13[/C][C]22.1558[/C][C]22.1483[/C][C]0.00744792[/C][C]-0.0257813[/C][/ROW]
[ROW][C]44[/C][C]22.4[/C][C]22.2018[/C][C]22.1571[/C][C]0.0446701[/C][C]0.198247[/C][/ROW]
[ROW][C]45[/C][C]22.4[/C][C]22.2354[/C][C]22.1758[/C][C]0.0595313[/C][C]0.164635[/C][/ROW]
[ROW][C]46[/C][C]22.12[/C][C]22.1763[/C][C]22.1979[/C][C]-0.0215799[/C][C]-0.0563368[/C][/ROW]
[ROW][C]47[/C][C]22.22[/C][C]22.2077[/C][C]22.2142[/C][C]-0.00651042[/C][C]0.0123437[/C][/ROW]
[ROW][C]48[/C][C]22.14[/C][C]22.2188[/C][C]22.2283[/C][C]-0.00949653[/C][C]-0.0788368[/C][/ROW]
[ROW][C]49[/C][C]22.14[/C][C]22.2173[/C][C]22.2417[/C][C]-0.0243576[/C][C]-0.077309[/C][/ROW]
[ROW][C]50[/C][C]22.19[/C][C]22.2227[/C][C]22.2438[/C][C]-0.0210243[/C][C]-0.0327257[/C][/ROW]
[ROW][C]51[/C][C]22.29[/C][C]22.22[/C][C]22.2346[/C][C]-0.014566[/C][C]0.0699826[/C][/ROW]
[ROW][C]52[/C][C]22.24[/C][C]22.2159[/C][C]22.2396[/C][C]-0.0236632[/C][C]0.0240799[/C][/ROW]
[ROW][C]53[/C][C]22.26[/C][C]22.2556[/C][C]22.2562[/C][C]-0.000607639[/C][C]0.00435764[/C][/ROW]
[ROW][C]54[/C][C]22.29[/C][C]22.2856[/C][C]22.2754[/C][C]0.0101563[/C][C]0.00442708[/C][/ROW]
[ROW][C]55[/C][C]22.29[/C][C]22.307[/C][C]22.2996[/C][C]0.00744792[/C][C]-0.0170312[/C][/ROW]
[ROW][C]56[/C][C]22.29[/C][C]22.353[/C][C]22.3083[/C][C]0.0446701[/C][C]-0.0630035[/C][/ROW]
[ROW][C]57[/C][C]22.29[/C][C]22.3574[/C][C]22.2979[/C][C]0.0595313[/C][C]-0.0674479[/C][/ROW]
[ROW][C]58[/C][C]22.35[/C][C]22.2613[/C][C]22.2829[/C][C]-0.0215799[/C][C]0.0886632[/C][/ROW]
[ROW][C]59[/C][C]22.39[/C][C]22.2597[/C][C]22.2662[/C][C]-0.00651042[/C][C]0.13026[/C][/ROW]
[ROW][C]60[/C][C]22.43[/C][C]22.2393[/C][C]22.2487[/C][C]-0.00949653[/C][C]0.190747[/C][/ROW]
[ROW][C]61[/C][C]22.43[/C][C]22.2069[/C][C]22.2312[/C][C]-0.0243576[/C][C]0.223108[/C][/ROW]
[ROW][C]62[/C][C]22.11[/C][C]22.1931[/C][C]22.2142[/C][C]-0.0210243[/C][C]-0.0831424[/C][/ROW]
[ROW][C]63[/C][C]22.12[/C][C]22.1829[/C][C]22.1975[/C][C]-0.014566[/C][C]-0.062934[/C][/ROW]
[ROW][C]64[/C][C]22.05[/C][C]22.1609[/C][C]22.1846[/C][C]-0.0236632[/C][C]-0.11092[/C][/ROW]
[ROW][C]65[/C][C]22.05[/C][C]22.1736[/C][C]22.1742[/C][C]-0.000607639[/C][C]-0.123559[/C][/ROW]
[ROW][C]66[/C][C]22.08[/C][C]22.1706[/C][C]22.1604[/C][C]0.0101563[/C][C]-0.0905729[/C][/ROW]
[ROW][C]67[/C][C]22.08[/C][C]22.152[/C][C]22.1446[/C][C]0.00744792[/C][C]-0.0720313[/C][/ROW]
[ROW][C]68[/C][C]22.09[/C][C]22.1872[/C][C]22.1425[/C][C]0.0446701[/C][C]-0.0971701[/C][/ROW]
[ROW][C]69[/C][C]22.09[/C][C]22.2145[/C][C]22.155[/C][C]0.0595313[/C][C]-0.124531[/C][/ROW]
[ROW][C]70[/C][C]22.24[/C][C]22.1476[/C][C]22.1692[/C][C]-0.0215799[/C][C]0.0924132[/C][/ROW]
[ROW][C]71[/C][C]22.25[/C][C]22.1802[/C][C]22.1867[/C][C]-0.00651042[/C][C]0.0698438[/C][/ROW]
[ROW][C]72[/C][C]22.24[/C][C]22.1968[/C][C]22.2062[/C][C]-0.00949653[/C][C]0.0432465[/C][/ROW]
[ROW][C]73[/C][C]22.24[/C][C]22.2011[/C][C]22.2254[/C][C]-0.0243576[/C][C]0.038941[/C][/ROW]
[ROW][C]74[/C][C]22.25[/C][C]22.2231[/C][C]22.2442[/C][C]-0.0210243[/C][C]0.0268576[/C][/ROW]
[ROW][C]75[/C][C]22.28[/C][C]22.2513[/C][C]22.2658[/C][C]-0.014566[/C][C]0.0287326[/C][/ROW]
[ROW][C]76[/C][C]22.23[/C][C]22.2622[/C][C]22.2858[/C][C]-0.0236632[/C][C]-0.0321701[/C][/ROW]
[ROW][C]77[/C][C]22.29[/C][C]22.2998[/C][C]22.3004[/C][C]-0.000607639[/C][C]-0.00980903[/C][/ROW]
[ROW][C]78[/C][C]22.31[/C][C]22.3252[/C][C]22.315[/C][C]0.0101563[/C][C]-0.0151563[/C][/ROW]
[ROW][C]79[/C][C]22.31[/C][C]NA[/C][C]NA[/C][C]0.00744792[/C][C]NA[/C][/ROW]
[ROW][C]80[/C][C]22.31[/C][C]NA[/C][C]NA[/C][C]0.0446701[/C][C]NA[/C][/ROW]
[ROW][C]81[/C][C]22.39[/C][C]NA[/C][C]NA[/C][C]0.0595313[/C][C]NA[/C][/ROW]
[ROW][C]82[/C][C]22.42[/C][C]NA[/C][C]NA[/C][C]-0.0215799[/C][C]NA[/C][/ROW]
[ROW][C]83[/C][C]22.42[/C][C]NA[/C][C]NA[/C][C]-0.00651042[/C][C]NA[/C][/ROW]
[ROW][C]84[/C][C]22.42[/C][C]NA[/C][C]NA[/C][C]-0.00949653[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231326&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231326&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
120.89NANA-0.0243576NA
221.04NANA-0.0210243NA
321.07NANA-0.014566NA
421.12NANA-0.0236632NA
521.25NANA-0.000607639NA
621.24NANA0.0101563NA
721.2421.178721.17120.007447920.0613021
821.2221.247221.20250.0446701-0.0271701
921.2921.303721.24420.0595313-0.0136979
1021.2521.264321.2858-0.0215799-0.0142535
1121.1521.317221.3238-0.00651042-0.16724
1221.1621.350121.3596-0.00949653-0.190087
1321.1621.371121.3954-0.0243576-0.211059
1421.5221.410221.4312-0.02102430.109774
1521.5921.453421.4679-0.0145660.136649
1621.621.482621.5062-0.02366320.117413
1721.6821.55421.5546-0.0006076390.126024
1821.6721.62621.61580.01015630.0440104
1921.6721.688321.68080.00744792-0.0182813
2021.6521.775921.73130.0446701-0.12592
2121.7421.824121.76460.0595313-0.0841146
2221.7221.779321.8008-0.0215799-0.0592535
2321.8421.833921.8404-0.006510420.00609375
2421.9421.870921.8804-0.009496530.0690799
2521.9421.898621.9229-0.02435760.041441
2621.9521.94921.97-0.02102430.00102431
2721.9622.004622.0192-0.014566-0.0446007
2822.122.032222.0558-0.02366320.0678299
2922.1322.077322.0779-0.0006076390.052691
3022.1822.101822.09170.01015630.0781771
3122.1822.109122.10170.007447920.0708854
3222.2722.155922.11120.04467010.11408
3322.322.175822.11620.05953130.124219
3422.0422.092222.1138-0.0215799-0.0521701
3522.0522.102222.1087-0.00651042-0.0522396
3622.0622.095122.1046-0.00949653-0.0350868
3722.0622.076122.1004-0.0243576-0.016059
3822.0622.082722.1037-0.0210243-0.0227257
3921.9722.098822.1133-0.014566-0.128767
4022.0322.097222.1208-0.0236632-0.0671701
4122.0822.130622.1312-0.000607639-0.0506424
4222.1322.151822.14170.0101563-0.0218229
4322.1322.155822.14830.00744792-0.0257813
4422.422.201822.15710.04467010.198247
4522.422.235422.17580.05953130.164635
4622.1222.176322.1979-0.0215799-0.0563368
4722.2222.207722.2142-0.006510420.0123437
4822.1422.218822.2283-0.00949653-0.0788368
4922.1422.217322.2417-0.0243576-0.077309
5022.1922.222722.2438-0.0210243-0.0327257
5122.2922.2222.2346-0.0145660.0699826
5222.2422.215922.2396-0.02366320.0240799
5322.2622.255622.2562-0.0006076390.00435764
5422.2922.285622.27540.01015630.00442708
5522.2922.30722.29960.00744792-0.0170312
5622.2922.35322.30830.0446701-0.0630035
5722.2922.357422.29790.0595313-0.0674479
5822.3522.261322.2829-0.02157990.0886632
5922.3922.259722.2662-0.006510420.13026
6022.4322.239322.2487-0.009496530.190747
6122.4322.206922.2312-0.02435760.223108
6222.1122.193122.2142-0.0210243-0.0831424
6322.1222.182922.1975-0.014566-0.062934
6422.0522.160922.1846-0.0236632-0.11092
6522.0522.173622.1742-0.000607639-0.123559
6622.0822.170622.16040.0101563-0.0905729
6722.0822.15222.14460.00744792-0.0720313
6822.0922.187222.14250.0446701-0.0971701
6922.0922.214522.1550.0595313-0.124531
7022.2422.147622.1692-0.02157990.0924132
7122.2522.180222.1867-0.006510420.0698438
7222.2422.196822.2062-0.009496530.0432465
7322.2422.201122.2254-0.02435760.038941
7422.2522.223122.2442-0.02102430.0268576
7522.2822.251322.2658-0.0145660.0287326
7622.2322.262222.2858-0.0236632-0.0321701
7722.2922.299822.3004-0.000607639-0.00980903
7822.3122.325222.3150.0101563-0.0151563
7922.31NANA0.00744792NA
8022.31NANA0.0446701NA
8122.39NANA0.0595313NA
8222.42NANA-0.0215799NA
8322.42NANA-0.00651042NA
8422.42NANA-0.00949653NA



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')