## Free Statistics

of Irreproducible Research!

Author's title
Author*The author of this computation has been verified*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationThu, 12 Dec 2013 04:50:26 -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/t13868419859h4ifuaj73p308t.htm/, Retrieved Tue, 07 Dec 2021 12:16:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232239, Retrieved Tue, 07 Dec 2021 12:16:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact75
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [] [2013-12-12 09:50:26] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
15,13
15,25
15,33
15,36
15,40
15,40
15,41
15,47
15,54
15,55
15,59
15,65
15,75
15,86
15,89
15,94
15,93
15,95
15,99
15,99
16,06
16,08
16,07
16,11
16,15
16,18
16,30
16,42
16,49
16,50
16,58
16,64
16,66
16,81
16,91
16,92
16,95
17,11
17,16
17,16
17,27
17,34
17,39
17,43
17,45
17,50
17,56
17,65
17,62
17,70
17,72
17,71
17,74
17,75
17,78
17,80
17,86
17,88
17,89
17,94
17,98
18,10
18,14
18,19
18,23
18,24
18,27
18,30
18,34
18,36
18,36
18,40
18,43
18,47
18,56
18,58
18,61
18,61
18,69
18,74
18,75
18,81
18,85
18,88

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 8 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 & 8 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232239&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]8 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=232239&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232239&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 8 seconds R Server 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

 Classical Decomposition by Moving Averages t Observations Fit Trend Seasonal Random 1 15.13 NA NA -0.0269444 NA 2 15.25 NA NA 0.0175694 NA 3 15.33 NA NA 0.0309028 NA 4 15.36 NA NA 0.0243056 NA 5 15.4 NA NA 0.0240278 NA 6 15.4 NA NA -0.00104167 NA 7 15.41 15.4481 15.4492 -0.00111111 -0.0380556 8 15.47 15.489 15.5004 -0.0113889 -0.0190278 9 15.54 15.5397 15.5492 -0.00951389 0.000347222 10 15.55 15.5874 15.5967 -0.00930556 -0.0373611 11 15.59 15.6223 15.6429 -0.020625 -0.0322917 12 15.65 15.671 15.6879 -0.016875 -0.0210417 13 15.75 15.7081 15.735 -0.0269444 0.0419444 14 15.86 15.7984 15.7808 0.0175694 0.0615972 15 15.89 15.8551 15.8242 0.0309028 0.0349306 16 15.94 15.8922 15.8679 0.0243056 0.0477778 17 15.93 15.934 15.91 0.0240278 -0.00402778 18 15.95 15.9481 15.9492 -0.00104167 0.001875 19 15.99 15.9839 15.985 -0.00111111 0.00611111 20 15.99 16.0036 16.015 -0.0113889 -0.0136111 21 16.06 16.0359 16.0454 -0.00951389 0.0240972 22 16.08 16.0732 16.0825 -0.00930556 0.00680556 23 16.07 16.1052 16.1258 -0.020625 -0.0352083 24 16.11 16.1552 16.1721 -0.016875 -0.0452083 25 16.15 16.1926 16.2196 -0.0269444 -0.0426389 26 16.18 16.2888 16.2712 0.0175694 -0.108819 27 16.3 16.3542 16.3233 0.0309028 -0.0542361 28 16.42 16.4031 16.3787 0.0243056 0.0169444 29 16.49 16.4682 16.4442 0.0240278 0.0218056 30 16.5 16.5119 16.5129 -0.00104167 -0.011875 31 16.58 16.5789 16.58 -0.00111111 0.00111111 32 16.64 16.6407 16.6521 -0.0113889 -0.000694444 33 16.66 16.7172 16.7267 -0.00951389 -0.0571528 34 16.81 16.784 16.7933 -0.00930556 0.0259722 35 16.91 16.836 16.8567 -0.020625 0.0739583 36 16.92 16.9073 16.9242 -0.016875 0.0127083 37 16.95 16.966 16.9929 -0.0269444 -0.0159722 38 17.11 17.0772 17.0596 0.0175694 0.0328472 39 17.16 17.1563 17.1254 0.0309028 0.00368056 40 17.16 17.2114 17.1871 0.0243056 -0.0513889 41 17.27 17.2669 17.2429 0.0240278 0.00305556 42 17.34 17.2994 17.3004 -0.00104167 0.040625 43 17.39 17.3576 17.3588 -0.00111111 0.0323611 44 17.43 17.3999 17.4112 -0.0113889 0.0301389 45 17.45 17.4497 17.4592 -0.00951389 0.000347222 46 17.5 17.4961 17.5054 -0.00930556 0.00388889 47 17.56 17.5273 17.5479 -0.020625 0.0327083 48 17.65 17.5677 17.5846 -0.016875 0.0822917 49 17.62 17.591 17.6179 -0.0269444 0.0290278 50 17.7 17.6672 17.6496 0.0175694 0.0328472 51 17.72 17.713 17.6821 0.0309028 0.00701389 52 17.71 17.7393 17.715 0.0243056 -0.0293056 53 17.74 17.7686 17.7446 0.0240278 -0.0286111 54 17.75 17.7694 17.7704 -0.00104167 -0.019375 55 17.78 17.7964 17.7975 -0.00111111 -0.0163889 56 17.8 17.8178 17.8292 -0.0113889 -0.0177778 57 17.86 17.8538 17.8633 -0.00951389 0.00618056 58 17.88 17.8915 17.9008 -0.00930556 -0.0115278 59 17.89 17.9206 17.9412 -0.020625 -0.030625 60 17.94 17.9652 17.9821 -0.016875 -0.0252083 61 17.98 17.996 18.0229 -0.0269444 -0.0159722 62 18.1 18.0817 18.0642 0.0175694 0.0182639 63 18.14 18.1359 18.105 0.0309028 0.00409722 64 18.19 18.1693 18.145 0.0243056 0.0206944 65 18.23 18.2086 18.1846 0.0240278 0.0213889 66 18.24 18.2223 18.2233 -0.00104167 0.0177083 67 18.27 18.2601 18.2612 -0.00111111 0.00986111 68 18.3 18.284 18.2954 -0.0113889 0.0159722 69 18.34 18.3188 18.3283 -0.00951389 0.0211806 70 18.36 18.3528 18.3621 -0.00930556 0.00722222 71 18.36 18.3735 18.3942 -0.020625 -0.0135417 72 18.4 18.4085 18.4254 -0.016875 -0.00854167 73 18.43 18.4314 18.4583 -0.0269444 -0.00138889 74 18.47 18.5117 18.4942 0.0175694 -0.0417361 75 18.56 18.5605 18.5296 0.0309028 -0.000486111 76 18.58 18.5897 18.5654 0.0243056 -0.00972222 77 18.61 18.6286 18.6046 0.0240278 -0.0186111 78 18.61 18.644 18.645 -0.00104167 -0.0339583 79 18.69 NA NA -0.00111111 NA 80 18.74 NA NA -0.0113889 NA 81 18.75 NA NA -0.00951389 NA 82 18.81 NA NA -0.00930556 NA 83 18.85 NA NA -0.020625 NA 84 18.88 NA NA -0.016875 NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 15.13 & NA & NA & -0.0269444 & NA \tabularnewline
2 & 15.25 & NA & NA & 0.0175694 & NA \tabularnewline
3 & 15.33 & NA & NA & 0.0309028 & NA \tabularnewline
4 & 15.36 & NA & NA & 0.0243056 & NA \tabularnewline
5 & 15.4 & NA & NA & 0.0240278 & NA \tabularnewline
6 & 15.4 & NA & NA & -0.00104167 & NA \tabularnewline
7 & 15.41 & 15.4481 & 15.4492 & -0.00111111 & -0.0380556 \tabularnewline
8 & 15.47 & 15.489 & 15.5004 & -0.0113889 & -0.0190278 \tabularnewline
9 & 15.54 & 15.5397 & 15.5492 & -0.00951389 & 0.000347222 \tabularnewline
10 & 15.55 & 15.5874 & 15.5967 & -0.00930556 & -0.0373611 \tabularnewline
11 & 15.59 & 15.6223 & 15.6429 & -0.020625 & -0.0322917 \tabularnewline
12 & 15.65 & 15.671 & 15.6879 & -0.016875 & -0.0210417 \tabularnewline
13 & 15.75 & 15.7081 & 15.735 & -0.0269444 & 0.0419444 \tabularnewline
14 & 15.86 & 15.7984 & 15.7808 & 0.0175694 & 0.0615972 \tabularnewline
15 & 15.89 & 15.8551 & 15.8242 & 0.0309028 & 0.0349306 \tabularnewline
16 & 15.94 & 15.8922 & 15.8679 & 0.0243056 & 0.0477778 \tabularnewline
17 & 15.93 & 15.934 & 15.91 & 0.0240278 & -0.00402778 \tabularnewline
18 & 15.95 & 15.9481 & 15.9492 & -0.00104167 & 0.001875 \tabularnewline
19 & 15.99 & 15.9839 & 15.985 & -0.00111111 & 0.00611111 \tabularnewline
20 & 15.99 & 16.0036 & 16.015 & -0.0113889 & -0.0136111 \tabularnewline
21 & 16.06 & 16.0359 & 16.0454 & -0.00951389 & 0.0240972 \tabularnewline
22 & 16.08 & 16.0732 & 16.0825 & -0.00930556 & 0.00680556 \tabularnewline
23 & 16.07 & 16.1052 & 16.1258 & -0.020625 & -0.0352083 \tabularnewline
24 & 16.11 & 16.1552 & 16.1721 & -0.016875 & -0.0452083 \tabularnewline
25 & 16.15 & 16.1926 & 16.2196 & -0.0269444 & -0.0426389 \tabularnewline
26 & 16.18 & 16.2888 & 16.2712 & 0.0175694 & -0.108819 \tabularnewline
27 & 16.3 & 16.3542 & 16.3233 & 0.0309028 & -0.0542361 \tabularnewline
28 & 16.42 & 16.4031 & 16.3787 & 0.0243056 & 0.0169444 \tabularnewline
29 & 16.49 & 16.4682 & 16.4442 & 0.0240278 & 0.0218056 \tabularnewline
30 & 16.5 & 16.5119 & 16.5129 & -0.00104167 & -0.011875 \tabularnewline
31 & 16.58 & 16.5789 & 16.58 & -0.00111111 & 0.00111111 \tabularnewline
32 & 16.64 & 16.6407 & 16.6521 & -0.0113889 & -0.000694444 \tabularnewline
33 & 16.66 & 16.7172 & 16.7267 & -0.00951389 & -0.0571528 \tabularnewline
34 & 16.81 & 16.784 & 16.7933 & -0.00930556 & 0.0259722 \tabularnewline
35 & 16.91 & 16.836 & 16.8567 & -0.020625 & 0.0739583 \tabularnewline
36 & 16.92 & 16.9073 & 16.9242 & -0.016875 & 0.0127083 \tabularnewline
37 & 16.95 & 16.966 & 16.9929 & -0.0269444 & -0.0159722 \tabularnewline
38 & 17.11 & 17.0772 & 17.0596 & 0.0175694 & 0.0328472 \tabularnewline
39 & 17.16 & 17.1563 & 17.1254 & 0.0309028 & 0.00368056 \tabularnewline
40 & 17.16 & 17.2114 & 17.1871 & 0.0243056 & -0.0513889 \tabularnewline
41 & 17.27 & 17.2669 & 17.2429 & 0.0240278 & 0.00305556 \tabularnewline
42 & 17.34 & 17.2994 & 17.3004 & -0.00104167 & 0.040625 \tabularnewline
43 & 17.39 & 17.3576 & 17.3588 & -0.00111111 & 0.0323611 \tabularnewline
44 & 17.43 & 17.3999 & 17.4112 & -0.0113889 & 0.0301389 \tabularnewline
45 & 17.45 & 17.4497 & 17.4592 & -0.00951389 & 0.000347222 \tabularnewline
46 & 17.5 & 17.4961 & 17.5054 & -0.00930556 & 0.00388889 \tabularnewline
47 & 17.56 & 17.5273 & 17.5479 & -0.020625 & 0.0327083 \tabularnewline
48 & 17.65 & 17.5677 & 17.5846 & -0.016875 & 0.0822917 \tabularnewline
49 & 17.62 & 17.591 & 17.6179 & -0.0269444 & 0.0290278 \tabularnewline
50 & 17.7 & 17.6672 & 17.6496 & 0.0175694 & 0.0328472 \tabularnewline
51 & 17.72 & 17.713 & 17.6821 & 0.0309028 & 0.00701389 \tabularnewline
52 & 17.71 & 17.7393 & 17.715 & 0.0243056 & -0.0293056 \tabularnewline
53 & 17.74 & 17.7686 & 17.7446 & 0.0240278 & -0.0286111 \tabularnewline
54 & 17.75 & 17.7694 & 17.7704 & -0.00104167 & -0.019375 \tabularnewline
55 & 17.78 & 17.7964 & 17.7975 & -0.00111111 & -0.0163889 \tabularnewline
56 & 17.8 & 17.8178 & 17.8292 & -0.0113889 & -0.0177778 \tabularnewline
57 & 17.86 & 17.8538 & 17.8633 & -0.00951389 & 0.00618056 \tabularnewline
58 & 17.88 & 17.8915 & 17.9008 & -0.00930556 & -0.0115278 \tabularnewline
59 & 17.89 & 17.9206 & 17.9412 & -0.020625 & -0.030625 \tabularnewline
60 & 17.94 & 17.9652 & 17.9821 & -0.016875 & -0.0252083 \tabularnewline
61 & 17.98 & 17.996 & 18.0229 & -0.0269444 & -0.0159722 \tabularnewline
62 & 18.1 & 18.0817 & 18.0642 & 0.0175694 & 0.0182639 \tabularnewline
63 & 18.14 & 18.1359 & 18.105 & 0.0309028 & 0.00409722 \tabularnewline
64 & 18.19 & 18.1693 & 18.145 & 0.0243056 & 0.0206944 \tabularnewline
65 & 18.23 & 18.2086 & 18.1846 & 0.0240278 & 0.0213889 \tabularnewline
66 & 18.24 & 18.2223 & 18.2233 & -0.00104167 & 0.0177083 \tabularnewline
67 & 18.27 & 18.2601 & 18.2612 & -0.00111111 & 0.00986111 \tabularnewline
68 & 18.3 & 18.284 & 18.2954 & -0.0113889 & 0.0159722 \tabularnewline
69 & 18.34 & 18.3188 & 18.3283 & -0.00951389 & 0.0211806 \tabularnewline
70 & 18.36 & 18.3528 & 18.3621 & -0.00930556 & 0.00722222 \tabularnewline
71 & 18.36 & 18.3735 & 18.3942 & -0.020625 & -0.0135417 \tabularnewline
72 & 18.4 & 18.4085 & 18.4254 & -0.016875 & -0.00854167 \tabularnewline
73 & 18.43 & 18.4314 & 18.4583 & -0.0269444 & -0.00138889 \tabularnewline
74 & 18.47 & 18.5117 & 18.4942 & 0.0175694 & -0.0417361 \tabularnewline
75 & 18.56 & 18.5605 & 18.5296 & 0.0309028 & -0.000486111 \tabularnewline
76 & 18.58 & 18.5897 & 18.5654 & 0.0243056 & -0.00972222 \tabularnewline
77 & 18.61 & 18.6286 & 18.6046 & 0.0240278 & -0.0186111 \tabularnewline
78 & 18.61 & 18.644 & 18.645 & -0.00104167 & -0.0339583 \tabularnewline
79 & 18.69 & NA & NA & -0.00111111 & NA \tabularnewline
80 & 18.74 & NA & NA & -0.0113889 & NA \tabularnewline
81 & 18.75 & NA & NA & -0.00951389 & NA \tabularnewline
82 & 18.81 & NA & NA & -0.00930556 & NA \tabularnewline
83 & 18.85 & NA & NA & -0.020625 & NA \tabularnewline
84 & 18.88 & NA & NA & -0.016875 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232239&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]15.13[/C][C]NA[/C][C]NA[/C][C]-0.0269444[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]15.25[/C][C]NA[/C][C]NA[/C][C]0.0175694[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]15.33[/C][C]NA[/C][C]NA[/C][C]0.0309028[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]15.36[/C][C]NA[/C][C]NA[/C][C]0.0243056[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]15.4[/C][C]NA[/C][C]NA[/C][C]0.0240278[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]15.4[/C][C]NA[/C][C]NA[/C][C]-0.00104167[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]15.41[/C][C]15.4481[/C][C]15.4492[/C][C]-0.00111111[/C][C]-0.0380556[/C][/ROW]
[ROW][C]8[/C][C]15.47[/C][C]15.489[/C][C]15.5004[/C][C]-0.0113889[/C][C]-0.0190278[/C][/ROW]
[ROW][C]9[/C][C]15.54[/C][C]15.5397[/C][C]15.5492[/C][C]-0.00951389[/C][C]0.000347222[/C][/ROW]
[ROW][C]10[/C][C]15.55[/C][C]15.5874[/C][C]15.5967[/C][C]-0.00930556[/C][C]-0.0373611[/C][/ROW]
[ROW][C]11[/C][C]15.59[/C][C]15.6223[/C][C]15.6429[/C][C]-0.020625[/C][C]-0.0322917[/C][/ROW]
[ROW][C]12[/C][C]15.65[/C][C]15.671[/C][C]15.6879[/C][C]-0.016875[/C][C]-0.0210417[/C][/ROW]
[ROW][C]13[/C][C]15.75[/C][C]15.7081[/C][C]15.735[/C][C]-0.0269444[/C][C]0.0419444[/C][/ROW]
[ROW][C]14[/C][C]15.86[/C][C]15.7984[/C][C]15.7808[/C][C]0.0175694[/C][C]0.0615972[/C][/ROW]
[ROW][C]15[/C][C]15.89[/C][C]15.8551[/C][C]15.8242[/C][C]0.0309028[/C][C]0.0349306[/C][/ROW]
[ROW][C]16[/C][C]15.94[/C][C]15.8922[/C][C]15.8679[/C][C]0.0243056[/C][C]0.0477778[/C][/ROW]
[ROW][C]17[/C][C]15.93[/C][C]15.934[/C][C]15.91[/C][C]0.0240278[/C][C]-0.00402778[/C][/ROW]
[ROW][C]18[/C][C]15.95[/C][C]15.9481[/C][C]15.9492[/C][C]-0.00104167[/C][C]0.001875[/C][/ROW]
[ROW][C]19[/C][C]15.99[/C][C]15.9839[/C][C]15.985[/C][C]-0.00111111[/C][C]0.00611111[/C][/ROW]
[ROW][C]20[/C][C]15.99[/C][C]16.0036[/C][C]16.015[/C][C]-0.0113889[/C][C]-0.0136111[/C][/ROW]
[ROW][C]21[/C][C]16.06[/C][C]16.0359[/C][C]16.0454[/C][C]-0.00951389[/C][C]0.0240972[/C][/ROW]
[ROW][C]22[/C][C]16.08[/C][C]16.0732[/C][C]16.0825[/C][C]-0.00930556[/C][C]0.00680556[/C][/ROW]
[ROW][C]23[/C][C]16.07[/C][C]16.1052[/C][C]16.1258[/C][C]-0.020625[/C][C]-0.0352083[/C][/ROW]
[ROW][C]24[/C][C]16.11[/C][C]16.1552[/C][C]16.1721[/C][C]-0.016875[/C][C]-0.0452083[/C][/ROW]
[ROW][C]25[/C][C]16.15[/C][C]16.1926[/C][C]16.2196[/C][C]-0.0269444[/C][C]-0.0426389[/C][/ROW]
[ROW][C]26[/C][C]16.18[/C][C]16.2888[/C][C]16.2712[/C][C]0.0175694[/C][C]-0.108819[/C][/ROW]
[ROW][C]27[/C][C]16.3[/C][C]16.3542[/C][C]16.3233[/C][C]0.0309028[/C][C]-0.0542361[/C][/ROW]
[ROW][C]28[/C][C]16.42[/C][C]16.4031[/C][C]16.3787[/C][C]0.0243056[/C][C]0.0169444[/C][/ROW]
[ROW][C]29[/C][C]16.49[/C][C]16.4682[/C][C]16.4442[/C][C]0.0240278[/C][C]0.0218056[/C][/ROW]
[ROW][C]30[/C][C]16.5[/C][C]16.5119[/C][C]16.5129[/C][C]-0.00104167[/C][C]-0.011875[/C][/ROW]
[ROW][C]31[/C][C]16.58[/C][C]16.5789[/C][C]16.58[/C][C]-0.00111111[/C][C]0.00111111[/C][/ROW]
[ROW][C]32[/C][C]16.64[/C][C]16.6407[/C][C]16.6521[/C][C]-0.0113889[/C][C]-0.000694444[/C][/ROW]
[ROW][C]33[/C][C]16.66[/C][C]16.7172[/C][C]16.7267[/C][C]-0.00951389[/C][C]-0.0571528[/C][/ROW]
[ROW][C]34[/C][C]16.81[/C][C]16.784[/C][C]16.7933[/C][C]-0.00930556[/C][C]0.0259722[/C][/ROW]
[ROW][C]35[/C][C]16.91[/C][C]16.836[/C][C]16.8567[/C][C]-0.020625[/C][C]0.0739583[/C][/ROW]
[ROW][C]36[/C][C]16.92[/C][C]16.9073[/C][C]16.9242[/C][C]-0.016875[/C][C]0.0127083[/C][/ROW]
[ROW][C]37[/C][C]16.95[/C][C]16.966[/C][C]16.9929[/C][C]-0.0269444[/C][C]-0.0159722[/C][/ROW]
[ROW][C]38[/C][C]17.11[/C][C]17.0772[/C][C]17.0596[/C][C]0.0175694[/C][C]0.0328472[/C][/ROW]
[ROW][C]39[/C][C]17.16[/C][C]17.1563[/C][C]17.1254[/C][C]0.0309028[/C][C]0.00368056[/C][/ROW]
[ROW][C]40[/C][C]17.16[/C][C]17.2114[/C][C]17.1871[/C][C]0.0243056[/C][C]-0.0513889[/C][/ROW]
[ROW][C]41[/C][C]17.27[/C][C]17.2669[/C][C]17.2429[/C][C]0.0240278[/C][C]0.00305556[/C][/ROW]
[ROW][C]42[/C][C]17.34[/C][C]17.2994[/C][C]17.3004[/C][C]-0.00104167[/C][C]0.040625[/C][/ROW]
[ROW][C]43[/C][C]17.39[/C][C]17.3576[/C][C]17.3588[/C][C]-0.00111111[/C][C]0.0323611[/C][/ROW]
[ROW][C]44[/C][C]17.43[/C][C]17.3999[/C][C]17.4112[/C][C]-0.0113889[/C][C]0.0301389[/C][/ROW]
[ROW][C]45[/C][C]17.45[/C][C]17.4497[/C][C]17.4592[/C][C]-0.00951389[/C][C]0.000347222[/C][/ROW]
[ROW][C]46[/C][C]17.5[/C][C]17.4961[/C][C]17.5054[/C][C]-0.00930556[/C][C]0.00388889[/C][/ROW]
[ROW][C]47[/C][C]17.56[/C][C]17.5273[/C][C]17.5479[/C][C]-0.020625[/C][C]0.0327083[/C][/ROW]
[ROW][C]48[/C][C]17.65[/C][C]17.5677[/C][C]17.5846[/C][C]-0.016875[/C][C]0.0822917[/C][/ROW]
[ROW][C]49[/C][C]17.62[/C][C]17.591[/C][C]17.6179[/C][C]-0.0269444[/C][C]0.0290278[/C][/ROW]
[ROW][C]50[/C][C]17.7[/C][C]17.6672[/C][C]17.6496[/C][C]0.0175694[/C][C]0.0328472[/C][/ROW]
[ROW][C]51[/C][C]17.72[/C][C]17.713[/C][C]17.6821[/C][C]0.0309028[/C][C]0.00701389[/C][/ROW]
[ROW][C]52[/C][C]17.71[/C][C]17.7393[/C][C]17.715[/C][C]0.0243056[/C][C]-0.0293056[/C][/ROW]
[ROW][C]53[/C][C]17.74[/C][C]17.7686[/C][C]17.7446[/C][C]0.0240278[/C][C]-0.0286111[/C][/ROW]
[ROW][C]54[/C][C]17.75[/C][C]17.7694[/C][C]17.7704[/C][C]-0.00104167[/C][C]-0.019375[/C][/ROW]
[ROW][C]55[/C][C]17.78[/C][C]17.7964[/C][C]17.7975[/C][C]-0.00111111[/C][C]-0.0163889[/C][/ROW]
[ROW][C]56[/C][C]17.8[/C][C]17.8178[/C][C]17.8292[/C][C]-0.0113889[/C][C]-0.0177778[/C][/ROW]
[ROW][C]57[/C][C]17.86[/C][C]17.8538[/C][C]17.8633[/C][C]-0.00951389[/C][C]0.00618056[/C][/ROW]
[ROW][C]58[/C][C]17.88[/C][C]17.8915[/C][C]17.9008[/C][C]-0.00930556[/C][C]-0.0115278[/C][/ROW]
[ROW][C]59[/C][C]17.89[/C][C]17.9206[/C][C]17.9412[/C][C]-0.020625[/C][C]-0.030625[/C][/ROW]
[ROW][C]60[/C][C]17.94[/C][C]17.9652[/C][C]17.9821[/C][C]-0.016875[/C][C]-0.0252083[/C][/ROW]
[ROW][C]61[/C][C]17.98[/C][C]17.996[/C][C]18.0229[/C][C]-0.0269444[/C][C]-0.0159722[/C][/ROW]
[ROW][C]62[/C][C]18.1[/C][C]18.0817[/C][C]18.0642[/C][C]0.0175694[/C][C]0.0182639[/C][/ROW]
[ROW][C]63[/C][C]18.14[/C][C]18.1359[/C][C]18.105[/C][C]0.0309028[/C][C]0.00409722[/C][/ROW]
[ROW][C]64[/C][C]18.19[/C][C]18.1693[/C][C]18.145[/C][C]0.0243056[/C][C]0.0206944[/C][/ROW]
[ROW][C]65[/C][C]18.23[/C][C]18.2086[/C][C]18.1846[/C][C]0.0240278[/C][C]0.0213889[/C][/ROW]
[ROW][C]66[/C][C]18.24[/C][C]18.2223[/C][C]18.2233[/C][C]-0.00104167[/C][C]0.0177083[/C][/ROW]
[ROW][C]67[/C][C]18.27[/C][C]18.2601[/C][C]18.2612[/C][C]-0.00111111[/C][C]0.00986111[/C][/ROW]
[ROW][C]68[/C][C]18.3[/C][C]18.284[/C][C]18.2954[/C][C]-0.0113889[/C][C]0.0159722[/C][/ROW]
[ROW][C]69[/C][C]18.34[/C][C]18.3188[/C][C]18.3283[/C][C]-0.00951389[/C][C]0.0211806[/C][/ROW]
[ROW][C]70[/C][C]18.36[/C][C]18.3528[/C][C]18.3621[/C][C]-0.00930556[/C][C]0.00722222[/C][/ROW]
[ROW][C]71[/C][C]18.36[/C][C]18.3735[/C][C]18.3942[/C][C]-0.020625[/C][C]-0.0135417[/C][/ROW]
[ROW][C]72[/C][C]18.4[/C][C]18.4085[/C][C]18.4254[/C][C]-0.016875[/C][C]-0.00854167[/C][/ROW]
[ROW][C]73[/C][C]18.43[/C][C]18.4314[/C][C]18.4583[/C][C]-0.0269444[/C][C]-0.00138889[/C][/ROW]
[ROW][C]74[/C][C]18.47[/C][C]18.5117[/C][C]18.4942[/C][C]0.0175694[/C][C]-0.0417361[/C][/ROW]
[ROW][C]75[/C][C]18.56[/C][C]18.5605[/C][C]18.5296[/C][C]0.0309028[/C][C]-0.000486111[/C][/ROW]
[ROW][C]76[/C][C]18.58[/C][C]18.5897[/C][C]18.5654[/C][C]0.0243056[/C][C]-0.00972222[/C][/ROW]
[ROW][C]77[/C][C]18.61[/C][C]18.6286[/C][C]18.6046[/C][C]0.0240278[/C][C]-0.0186111[/C][/ROW]
[ROW][C]78[/C][C]18.61[/C][C]18.644[/C][C]18.645[/C][C]-0.00104167[/C][C]-0.0339583[/C][/ROW]
[ROW][C]79[/C][C]18.69[/C][C]NA[/C][C]NA[/C][C]-0.00111111[/C][C]NA[/C][/ROW]
[ROW][C]80[/C][C]18.74[/C][C]NA[/C][C]NA[/C][C]-0.0113889[/C][C]NA[/C][/ROW]
[ROW][C]81[/C][C]18.75[/C][C]NA[/C][C]NA[/C][C]-0.00951389[/C][C]NA[/C][/ROW]
[ROW][C]82[/C][C]18.81[/C][C]NA[/C][C]NA[/C][C]-0.00930556[/C][C]NA[/C][/ROW]
[ROW][C]83[/C][C]18.85[/C][C]NA[/C][C]NA[/C][C]-0.020625[/C][C]NA[/C][/ROW]
[ROW][C]84[/C][C]18.88[/C][C]NA[/C][C]NA[/C][C]-0.016875[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232239&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232239&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 15.13 NA NA -0.0269444 NA 2 15.25 NA NA 0.0175694 NA 3 15.33 NA NA 0.0309028 NA 4 15.36 NA NA 0.0243056 NA 5 15.4 NA NA 0.0240278 NA 6 15.4 NA NA -0.00104167 NA 7 15.41 15.4481 15.4492 -0.00111111 -0.0380556 8 15.47 15.489 15.5004 -0.0113889 -0.0190278 9 15.54 15.5397 15.5492 -0.00951389 0.000347222 10 15.55 15.5874 15.5967 -0.00930556 -0.0373611 11 15.59 15.6223 15.6429 -0.020625 -0.0322917 12 15.65 15.671 15.6879 -0.016875 -0.0210417 13 15.75 15.7081 15.735 -0.0269444 0.0419444 14 15.86 15.7984 15.7808 0.0175694 0.0615972 15 15.89 15.8551 15.8242 0.0309028 0.0349306 16 15.94 15.8922 15.8679 0.0243056 0.0477778 17 15.93 15.934 15.91 0.0240278 -0.00402778 18 15.95 15.9481 15.9492 -0.00104167 0.001875 19 15.99 15.9839 15.985 -0.00111111 0.00611111 20 15.99 16.0036 16.015 -0.0113889 -0.0136111 21 16.06 16.0359 16.0454 -0.00951389 0.0240972 22 16.08 16.0732 16.0825 -0.00930556 0.00680556 23 16.07 16.1052 16.1258 -0.020625 -0.0352083 24 16.11 16.1552 16.1721 -0.016875 -0.0452083 25 16.15 16.1926 16.2196 -0.0269444 -0.0426389 26 16.18 16.2888 16.2712 0.0175694 -0.108819 27 16.3 16.3542 16.3233 0.0309028 -0.0542361 28 16.42 16.4031 16.3787 0.0243056 0.0169444 29 16.49 16.4682 16.4442 0.0240278 0.0218056 30 16.5 16.5119 16.5129 -0.00104167 -0.011875 31 16.58 16.5789 16.58 -0.00111111 0.00111111 32 16.64 16.6407 16.6521 -0.0113889 -0.000694444 33 16.66 16.7172 16.7267 -0.00951389 -0.0571528 34 16.81 16.784 16.7933 -0.00930556 0.0259722 35 16.91 16.836 16.8567 -0.020625 0.0739583 36 16.92 16.9073 16.9242 -0.016875 0.0127083 37 16.95 16.966 16.9929 -0.0269444 -0.0159722 38 17.11 17.0772 17.0596 0.0175694 0.0328472 39 17.16 17.1563 17.1254 0.0309028 0.00368056 40 17.16 17.2114 17.1871 0.0243056 -0.0513889 41 17.27 17.2669 17.2429 0.0240278 0.00305556 42 17.34 17.2994 17.3004 -0.00104167 0.040625 43 17.39 17.3576 17.3588 -0.00111111 0.0323611 44 17.43 17.3999 17.4112 -0.0113889 0.0301389 45 17.45 17.4497 17.4592 -0.00951389 0.000347222 46 17.5 17.4961 17.5054 -0.00930556 0.00388889 47 17.56 17.5273 17.5479 -0.020625 0.0327083 48 17.65 17.5677 17.5846 -0.016875 0.0822917 49 17.62 17.591 17.6179 -0.0269444 0.0290278 50 17.7 17.6672 17.6496 0.0175694 0.0328472 51 17.72 17.713 17.6821 0.0309028 0.00701389 52 17.71 17.7393 17.715 0.0243056 -0.0293056 53 17.74 17.7686 17.7446 0.0240278 -0.0286111 54 17.75 17.7694 17.7704 -0.00104167 -0.019375 55 17.78 17.7964 17.7975 -0.00111111 -0.0163889 56 17.8 17.8178 17.8292 -0.0113889 -0.0177778 57 17.86 17.8538 17.8633 -0.00951389 0.00618056 58 17.88 17.8915 17.9008 -0.00930556 -0.0115278 59 17.89 17.9206 17.9412 -0.020625 -0.030625 60 17.94 17.9652 17.9821 -0.016875 -0.0252083 61 17.98 17.996 18.0229 -0.0269444 -0.0159722 62 18.1 18.0817 18.0642 0.0175694 0.0182639 63 18.14 18.1359 18.105 0.0309028 0.00409722 64 18.19 18.1693 18.145 0.0243056 0.0206944 65 18.23 18.2086 18.1846 0.0240278 0.0213889 66 18.24 18.2223 18.2233 -0.00104167 0.0177083 67 18.27 18.2601 18.2612 -0.00111111 0.00986111 68 18.3 18.284 18.2954 -0.0113889 0.0159722 69 18.34 18.3188 18.3283 -0.00951389 0.0211806 70 18.36 18.3528 18.3621 -0.00930556 0.00722222 71 18.36 18.3735 18.3942 -0.020625 -0.0135417 72 18.4 18.4085 18.4254 -0.016875 -0.00854167 73 18.43 18.4314 18.4583 -0.0269444 -0.00138889 74 18.47 18.5117 18.4942 0.0175694 -0.0417361 75 18.56 18.5605 18.5296 0.0309028 -0.000486111 76 18.58 18.5897 18.5654 0.0243056 -0.00972222 77 18.61 18.6286 18.6046 0.0240278 -0.0186111 78 18.61 18.644 18.645 -0.00104167 -0.0339583 79 18.69 NA NA -0.00111111 NA 80 18.74 NA NA -0.0113889 NA 81 18.75 NA NA -0.00951389 NA 82 18.81 NA NA -0.00930556 NA 83 18.85 NA NA -0.020625 NA 84 18.88 NA NA -0.016875 NA

Parameters (Session):
par1 = additive ; par2 = 12 ;
Parameters (R input):
par1 = additive ; par2 = 12 ;
R code (references can be found in the software module):
par2 <- '12'
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()
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)
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))