Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationFri, 06 Dec 2013 10:24:37 -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/t1386343730lbf5tm3ql0qwl1d.htm/, Retrieved Thu, 28 Mar 2024 20:32:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231329, Retrieved Thu, 28 Mar 2024 20:32:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [] [2013-12-06 15:24:37] [fc2852ac78b5a0ff21b931104fefbcf7] [Current]
Feedback Forum

Post a new message
Dataseries X:
10,92
10,98
11,15
11,19
11,33
11,38
11,4
11,45
11,56
11,61
11,82
11,77
11,85
11,82
11,92
11,86
11,87
11,94
11,86
11,92
11,83
11,91
11,93
11,99
11,96
12,12
11,85
12,01
12,1
12,21
12,31
12,31
12,39
12,35
12,41
12,51
12,27
12,51
12,44
12,47
12,51
12,58
12,5
12,52
12,59
12,51
12,67
12,64
12,54
12,6
12,67
12,62
12,72
12,85
12,85
12,82
12,79
12,94
12,71
12,56
12,64
12,7
12,74
12,85
12,84
12,83
12,88
13,07
12,99
13,2
13,23
13,18
13,18
13,1
13,23
13,33
13,38
13,26
13,17
13,27
13,47
13,63
13,64
13,69




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'George Udny Yule' @ yule.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 & 6 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231329&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231329&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231329&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 time6 seconds
R Server'George Udny Yule' @ yule.wessa.net







Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
110.92NANA-0.0586516NA
210.98NANA-0.0152488NA
311.15NANA-0.0411516NA
411.19NANA-0.02011NA
511.33NANA-0.000109954NA
611.38NANA0.0155845NA
711.411.424111.41870.00530671-0.0240567
811.4511.515711.49250.0232234-0.0657234
911.5611.563611.55960.00405671-0.00364005
1011.6111.65611.61960.0364178-0.0460012
1111.8211.71911.670.04898730.101013
1211.7711.717511.71580.00169560.0524711
1311.8511.699711.7583-0.05865160.150318
1411.8211.781811.7971-0.01524880.0381655
1511.9211.786811.8279-0.04115160.133235
1611.8611.831611.8517-0.020110.0284433
1711.8711.868611.8687-0.0001099540.00135995
1811.9411.898111.88250.01558450.0419155
1911.8611.901611.89620.00530671-0.0415567
2011.9211.936611.91330.0232234-0.0165567
2111.8311.92711.92290.00405671-0.0969734
2211.9111.962711.92620.0364178-0.0526678
2311.9311.991111.94210.0489873-0.0610706
2411.9911.964611.96290.00169560.0253877
2511.9611.934311.9929-0.05865160.025735
2612.1212.012712.0279-0.01524880.107332
2711.8512.026312.0675-0.0411516-0.176348
2812.0112.089112.1092-0.02011-0.0790567
2912.112.147412.1475-0.000109954-0.04739
3012.2112.204812.18920.01558450.00524884
3112.3112.229112.22370.005306710.0809433
3212.3112.276112.25290.02322340.03386
3312.3912.297812.29370.004056710.0921933
3412.3512.373912.33750.0364178-0.0239178
3512.4112.422712.37370.0489873-0.0127373
3612.5112.407912.40620.00169560.102054
3712.2712.370912.4296-0.0586516-0.100932
3812.5112.43112.4462-0.01524880.0789988
3912.4412.422212.4633-0.04115160.0178183
4012.4712.458212.4783-0.020110.0117766
4112.5112.495712.4958-0.0001099540.0142766
4212.5812.527712.51210.01558450.0523322
4312.512.534112.52880.00530671-0.0340567
4412.5212.56712.54380.0232234-0.0469734
4512.5912.561112.55710.004056710.02886
4612.5112.609312.57290.0364178-0.0993345
4712.6712.636912.58790.04898730.0330961
4812.6412.609612.60790.00169560.0303877
4912.5412.575112.6338-0.0586516-0.0350984
5012.612.645612.6608-0.0152488-0.0455845
5112.6712.640512.6817-0.04115160.029485
5212.6212.687812.7079-0.02011-0.0678067
5312.7212.727412.7275-0.000109954-0.00739005
5412.8512.741412.72580.01558450.108582
5512.8512.73212.72670.005306710.118027
5612.8212.758212.7350.02322340.0617766
5712.7912.746112.74210.004056710.04386
5812.9412.79112.75460.03641780.148999
5912.7112.818212.76920.0489873-0.108154
6012.5612.77512.77330.0016956-0.215029
6112.6412.715112.7738-0.0586516-0.0750984
6212.712.770212.7854-0.0152488-0.0701678
6312.7412.76312.8042-0.0411516-0.023015
6412.8512.803212.8233-0.020110.0467766
6512.8412.855712.8558-0.000109954-0.0157234
6612.8312.918912.90330.0155845-0.0889178
6712.8812.95712.95170.00530671-0.0769734
6813.0713.014112.99080.02322340.0559433
6912.9913.03213.02790.00405671-0.0419734
7013.213.104813.06830.03641780.0952488
7113.2313.159813.11080.04898730.0701794
7213.1813.152913.15120.00169560.0270544
7313.1813.122613.1812-0.05865160.0574016
7413.113.186413.2017-0.0152488-0.0864178
7513.2313.188813.23-0.04115160.0411516
7613.3313.247813.2679-0.020110.0821933
7713.3813.302813.3029-0.0001099540.0771933
7813.2613.356813.34120.0155845-0.0968345
7913.17NANA0.00530671NA
8013.27NANA0.0232234NA
8113.47NANA0.00405671NA
8213.63NANA0.0364178NA
8313.64NANA0.0489873NA
8413.69NANA0.0016956NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 10.92 & NA & NA & -0.0586516 & NA \tabularnewline
2 & 10.98 & NA & NA & -0.0152488 & NA \tabularnewline
3 & 11.15 & NA & NA & -0.0411516 & NA \tabularnewline
4 & 11.19 & NA & NA & -0.02011 & NA \tabularnewline
5 & 11.33 & NA & NA & -0.000109954 & NA \tabularnewline
6 & 11.38 & NA & NA & 0.0155845 & NA \tabularnewline
7 & 11.4 & 11.4241 & 11.4187 & 0.00530671 & -0.0240567 \tabularnewline
8 & 11.45 & 11.5157 & 11.4925 & 0.0232234 & -0.0657234 \tabularnewline
9 & 11.56 & 11.5636 & 11.5596 & 0.00405671 & -0.00364005 \tabularnewline
10 & 11.61 & 11.656 & 11.6196 & 0.0364178 & -0.0460012 \tabularnewline
11 & 11.82 & 11.719 & 11.67 & 0.0489873 & 0.101013 \tabularnewline
12 & 11.77 & 11.7175 & 11.7158 & 0.0016956 & 0.0524711 \tabularnewline
13 & 11.85 & 11.6997 & 11.7583 & -0.0586516 & 0.150318 \tabularnewline
14 & 11.82 & 11.7818 & 11.7971 & -0.0152488 & 0.0381655 \tabularnewline
15 & 11.92 & 11.7868 & 11.8279 & -0.0411516 & 0.133235 \tabularnewline
16 & 11.86 & 11.8316 & 11.8517 & -0.02011 & 0.0284433 \tabularnewline
17 & 11.87 & 11.8686 & 11.8687 & -0.000109954 & 0.00135995 \tabularnewline
18 & 11.94 & 11.8981 & 11.8825 & 0.0155845 & 0.0419155 \tabularnewline
19 & 11.86 & 11.9016 & 11.8962 & 0.00530671 & -0.0415567 \tabularnewline
20 & 11.92 & 11.9366 & 11.9133 & 0.0232234 & -0.0165567 \tabularnewline
21 & 11.83 & 11.927 & 11.9229 & 0.00405671 & -0.0969734 \tabularnewline
22 & 11.91 & 11.9627 & 11.9262 & 0.0364178 & -0.0526678 \tabularnewline
23 & 11.93 & 11.9911 & 11.9421 & 0.0489873 & -0.0610706 \tabularnewline
24 & 11.99 & 11.9646 & 11.9629 & 0.0016956 & 0.0253877 \tabularnewline
25 & 11.96 & 11.9343 & 11.9929 & -0.0586516 & 0.025735 \tabularnewline
26 & 12.12 & 12.0127 & 12.0279 & -0.0152488 & 0.107332 \tabularnewline
27 & 11.85 & 12.0263 & 12.0675 & -0.0411516 & -0.176348 \tabularnewline
28 & 12.01 & 12.0891 & 12.1092 & -0.02011 & -0.0790567 \tabularnewline
29 & 12.1 & 12.1474 & 12.1475 & -0.000109954 & -0.04739 \tabularnewline
30 & 12.21 & 12.2048 & 12.1892 & 0.0155845 & 0.00524884 \tabularnewline
31 & 12.31 & 12.2291 & 12.2237 & 0.00530671 & 0.0809433 \tabularnewline
32 & 12.31 & 12.2761 & 12.2529 & 0.0232234 & 0.03386 \tabularnewline
33 & 12.39 & 12.2978 & 12.2937 & 0.00405671 & 0.0921933 \tabularnewline
34 & 12.35 & 12.3739 & 12.3375 & 0.0364178 & -0.0239178 \tabularnewline
35 & 12.41 & 12.4227 & 12.3737 & 0.0489873 & -0.0127373 \tabularnewline
36 & 12.51 & 12.4079 & 12.4062 & 0.0016956 & 0.102054 \tabularnewline
37 & 12.27 & 12.3709 & 12.4296 & -0.0586516 & -0.100932 \tabularnewline
38 & 12.51 & 12.431 & 12.4462 & -0.0152488 & 0.0789988 \tabularnewline
39 & 12.44 & 12.4222 & 12.4633 & -0.0411516 & 0.0178183 \tabularnewline
40 & 12.47 & 12.4582 & 12.4783 & -0.02011 & 0.0117766 \tabularnewline
41 & 12.51 & 12.4957 & 12.4958 & -0.000109954 & 0.0142766 \tabularnewline
42 & 12.58 & 12.5277 & 12.5121 & 0.0155845 & 0.0523322 \tabularnewline
43 & 12.5 & 12.5341 & 12.5288 & 0.00530671 & -0.0340567 \tabularnewline
44 & 12.52 & 12.567 & 12.5438 & 0.0232234 & -0.0469734 \tabularnewline
45 & 12.59 & 12.5611 & 12.5571 & 0.00405671 & 0.02886 \tabularnewline
46 & 12.51 & 12.6093 & 12.5729 & 0.0364178 & -0.0993345 \tabularnewline
47 & 12.67 & 12.6369 & 12.5879 & 0.0489873 & 0.0330961 \tabularnewline
48 & 12.64 & 12.6096 & 12.6079 & 0.0016956 & 0.0303877 \tabularnewline
49 & 12.54 & 12.5751 & 12.6338 & -0.0586516 & -0.0350984 \tabularnewline
50 & 12.6 & 12.6456 & 12.6608 & -0.0152488 & -0.0455845 \tabularnewline
51 & 12.67 & 12.6405 & 12.6817 & -0.0411516 & 0.029485 \tabularnewline
52 & 12.62 & 12.6878 & 12.7079 & -0.02011 & -0.0678067 \tabularnewline
53 & 12.72 & 12.7274 & 12.7275 & -0.000109954 & -0.00739005 \tabularnewline
54 & 12.85 & 12.7414 & 12.7258 & 0.0155845 & 0.108582 \tabularnewline
55 & 12.85 & 12.732 & 12.7267 & 0.00530671 & 0.118027 \tabularnewline
56 & 12.82 & 12.7582 & 12.735 & 0.0232234 & 0.0617766 \tabularnewline
57 & 12.79 & 12.7461 & 12.7421 & 0.00405671 & 0.04386 \tabularnewline
58 & 12.94 & 12.791 & 12.7546 & 0.0364178 & 0.148999 \tabularnewline
59 & 12.71 & 12.8182 & 12.7692 & 0.0489873 & -0.108154 \tabularnewline
60 & 12.56 & 12.775 & 12.7733 & 0.0016956 & -0.215029 \tabularnewline
61 & 12.64 & 12.7151 & 12.7738 & -0.0586516 & -0.0750984 \tabularnewline
62 & 12.7 & 12.7702 & 12.7854 & -0.0152488 & -0.0701678 \tabularnewline
63 & 12.74 & 12.763 & 12.8042 & -0.0411516 & -0.023015 \tabularnewline
64 & 12.85 & 12.8032 & 12.8233 & -0.02011 & 0.0467766 \tabularnewline
65 & 12.84 & 12.8557 & 12.8558 & -0.000109954 & -0.0157234 \tabularnewline
66 & 12.83 & 12.9189 & 12.9033 & 0.0155845 & -0.0889178 \tabularnewline
67 & 12.88 & 12.957 & 12.9517 & 0.00530671 & -0.0769734 \tabularnewline
68 & 13.07 & 13.0141 & 12.9908 & 0.0232234 & 0.0559433 \tabularnewline
69 & 12.99 & 13.032 & 13.0279 & 0.00405671 & -0.0419734 \tabularnewline
70 & 13.2 & 13.1048 & 13.0683 & 0.0364178 & 0.0952488 \tabularnewline
71 & 13.23 & 13.1598 & 13.1108 & 0.0489873 & 0.0701794 \tabularnewline
72 & 13.18 & 13.1529 & 13.1512 & 0.0016956 & 0.0270544 \tabularnewline
73 & 13.18 & 13.1226 & 13.1812 & -0.0586516 & 0.0574016 \tabularnewline
74 & 13.1 & 13.1864 & 13.2017 & -0.0152488 & -0.0864178 \tabularnewline
75 & 13.23 & 13.1888 & 13.23 & -0.0411516 & 0.0411516 \tabularnewline
76 & 13.33 & 13.2478 & 13.2679 & -0.02011 & 0.0821933 \tabularnewline
77 & 13.38 & 13.3028 & 13.3029 & -0.000109954 & 0.0771933 \tabularnewline
78 & 13.26 & 13.3568 & 13.3412 & 0.0155845 & -0.0968345 \tabularnewline
79 & 13.17 & NA & NA & 0.00530671 & NA \tabularnewline
80 & 13.27 & NA & NA & 0.0232234 & NA \tabularnewline
81 & 13.47 & NA & NA & 0.00405671 & NA \tabularnewline
82 & 13.63 & NA & NA & 0.0364178 & NA \tabularnewline
83 & 13.64 & NA & NA & 0.0489873 & NA \tabularnewline
84 & 13.69 & NA & NA & 0.0016956 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231329&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]10.92[/C][C]NA[/C][C]NA[/C][C]-0.0586516[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]10.98[/C][C]NA[/C][C]NA[/C][C]-0.0152488[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]11.15[/C][C]NA[/C][C]NA[/C][C]-0.0411516[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]11.19[/C][C]NA[/C][C]NA[/C][C]-0.02011[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]11.33[/C][C]NA[/C][C]NA[/C][C]-0.000109954[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]11.38[/C][C]NA[/C][C]NA[/C][C]0.0155845[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]11.4[/C][C]11.4241[/C][C]11.4187[/C][C]0.00530671[/C][C]-0.0240567[/C][/ROW]
[ROW][C]8[/C][C]11.45[/C][C]11.5157[/C][C]11.4925[/C][C]0.0232234[/C][C]-0.0657234[/C][/ROW]
[ROW][C]9[/C][C]11.56[/C][C]11.5636[/C][C]11.5596[/C][C]0.00405671[/C][C]-0.00364005[/C][/ROW]
[ROW][C]10[/C][C]11.61[/C][C]11.656[/C][C]11.6196[/C][C]0.0364178[/C][C]-0.0460012[/C][/ROW]
[ROW][C]11[/C][C]11.82[/C][C]11.719[/C][C]11.67[/C][C]0.0489873[/C][C]0.101013[/C][/ROW]
[ROW][C]12[/C][C]11.77[/C][C]11.7175[/C][C]11.7158[/C][C]0.0016956[/C][C]0.0524711[/C][/ROW]
[ROW][C]13[/C][C]11.85[/C][C]11.6997[/C][C]11.7583[/C][C]-0.0586516[/C][C]0.150318[/C][/ROW]
[ROW][C]14[/C][C]11.82[/C][C]11.7818[/C][C]11.7971[/C][C]-0.0152488[/C][C]0.0381655[/C][/ROW]
[ROW][C]15[/C][C]11.92[/C][C]11.7868[/C][C]11.8279[/C][C]-0.0411516[/C][C]0.133235[/C][/ROW]
[ROW][C]16[/C][C]11.86[/C][C]11.8316[/C][C]11.8517[/C][C]-0.02011[/C][C]0.0284433[/C][/ROW]
[ROW][C]17[/C][C]11.87[/C][C]11.8686[/C][C]11.8687[/C][C]-0.000109954[/C][C]0.00135995[/C][/ROW]
[ROW][C]18[/C][C]11.94[/C][C]11.8981[/C][C]11.8825[/C][C]0.0155845[/C][C]0.0419155[/C][/ROW]
[ROW][C]19[/C][C]11.86[/C][C]11.9016[/C][C]11.8962[/C][C]0.00530671[/C][C]-0.0415567[/C][/ROW]
[ROW][C]20[/C][C]11.92[/C][C]11.9366[/C][C]11.9133[/C][C]0.0232234[/C][C]-0.0165567[/C][/ROW]
[ROW][C]21[/C][C]11.83[/C][C]11.927[/C][C]11.9229[/C][C]0.00405671[/C][C]-0.0969734[/C][/ROW]
[ROW][C]22[/C][C]11.91[/C][C]11.9627[/C][C]11.9262[/C][C]0.0364178[/C][C]-0.0526678[/C][/ROW]
[ROW][C]23[/C][C]11.93[/C][C]11.9911[/C][C]11.9421[/C][C]0.0489873[/C][C]-0.0610706[/C][/ROW]
[ROW][C]24[/C][C]11.99[/C][C]11.9646[/C][C]11.9629[/C][C]0.0016956[/C][C]0.0253877[/C][/ROW]
[ROW][C]25[/C][C]11.96[/C][C]11.9343[/C][C]11.9929[/C][C]-0.0586516[/C][C]0.025735[/C][/ROW]
[ROW][C]26[/C][C]12.12[/C][C]12.0127[/C][C]12.0279[/C][C]-0.0152488[/C][C]0.107332[/C][/ROW]
[ROW][C]27[/C][C]11.85[/C][C]12.0263[/C][C]12.0675[/C][C]-0.0411516[/C][C]-0.176348[/C][/ROW]
[ROW][C]28[/C][C]12.01[/C][C]12.0891[/C][C]12.1092[/C][C]-0.02011[/C][C]-0.0790567[/C][/ROW]
[ROW][C]29[/C][C]12.1[/C][C]12.1474[/C][C]12.1475[/C][C]-0.000109954[/C][C]-0.04739[/C][/ROW]
[ROW][C]30[/C][C]12.21[/C][C]12.2048[/C][C]12.1892[/C][C]0.0155845[/C][C]0.00524884[/C][/ROW]
[ROW][C]31[/C][C]12.31[/C][C]12.2291[/C][C]12.2237[/C][C]0.00530671[/C][C]0.0809433[/C][/ROW]
[ROW][C]32[/C][C]12.31[/C][C]12.2761[/C][C]12.2529[/C][C]0.0232234[/C][C]0.03386[/C][/ROW]
[ROW][C]33[/C][C]12.39[/C][C]12.2978[/C][C]12.2937[/C][C]0.00405671[/C][C]0.0921933[/C][/ROW]
[ROW][C]34[/C][C]12.35[/C][C]12.3739[/C][C]12.3375[/C][C]0.0364178[/C][C]-0.0239178[/C][/ROW]
[ROW][C]35[/C][C]12.41[/C][C]12.4227[/C][C]12.3737[/C][C]0.0489873[/C][C]-0.0127373[/C][/ROW]
[ROW][C]36[/C][C]12.51[/C][C]12.4079[/C][C]12.4062[/C][C]0.0016956[/C][C]0.102054[/C][/ROW]
[ROW][C]37[/C][C]12.27[/C][C]12.3709[/C][C]12.4296[/C][C]-0.0586516[/C][C]-0.100932[/C][/ROW]
[ROW][C]38[/C][C]12.51[/C][C]12.431[/C][C]12.4462[/C][C]-0.0152488[/C][C]0.0789988[/C][/ROW]
[ROW][C]39[/C][C]12.44[/C][C]12.4222[/C][C]12.4633[/C][C]-0.0411516[/C][C]0.0178183[/C][/ROW]
[ROW][C]40[/C][C]12.47[/C][C]12.4582[/C][C]12.4783[/C][C]-0.02011[/C][C]0.0117766[/C][/ROW]
[ROW][C]41[/C][C]12.51[/C][C]12.4957[/C][C]12.4958[/C][C]-0.000109954[/C][C]0.0142766[/C][/ROW]
[ROW][C]42[/C][C]12.58[/C][C]12.5277[/C][C]12.5121[/C][C]0.0155845[/C][C]0.0523322[/C][/ROW]
[ROW][C]43[/C][C]12.5[/C][C]12.5341[/C][C]12.5288[/C][C]0.00530671[/C][C]-0.0340567[/C][/ROW]
[ROW][C]44[/C][C]12.52[/C][C]12.567[/C][C]12.5438[/C][C]0.0232234[/C][C]-0.0469734[/C][/ROW]
[ROW][C]45[/C][C]12.59[/C][C]12.5611[/C][C]12.5571[/C][C]0.00405671[/C][C]0.02886[/C][/ROW]
[ROW][C]46[/C][C]12.51[/C][C]12.6093[/C][C]12.5729[/C][C]0.0364178[/C][C]-0.0993345[/C][/ROW]
[ROW][C]47[/C][C]12.67[/C][C]12.6369[/C][C]12.5879[/C][C]0.0489873[/C][C]0.0330961[/C][/ROW]
[ROW][C]48[/C][C]12.64[/C][C]12.6096[/C][C]12.6079[/C][C]0.0016956[/C][C]0.0303877[/C][/ROW]
[ROW][C]49[/C][C]12.54[/C][C]12.5751[/C][C]12.6338[/C][C]-0.0586516[/C][C]-0.0350984[/C][/ROW]
[ROW][C]50[/C][C]12.6[/C][C]12.6456[/C][C]12.6608[/C][C]-0.0152488[/C][C]-0.0455845[/C][/ROW]
[ROW][C]51[/C][C]12.67[/C][C]12.6405[/C][C]12.6817[/C][C]-0.0411516[/C][C]0.029485[/C][/ROW]
[ROW][C]52[/C][C]12.62[/C][C]12.6878[/C][C]12.7079[/C][C]-0.02011[/C][C]-0.0678067[/C][/ROW]
[ROW][C]53[/C][C]12.72[/C][C]12.7274[/C][C]12.7275[/C][C]-0.000109954[/C][C]-0.00739005[/C][/ROW]
[ROW][C]54[/C][C]12.85[/C][C]12.7414[/C][C]12.7258[/C][C]0.0155845[/C][C]0.108582[/C][/ROW]
[ROW][C]55[/C][C]12.85[/C][C]12.732[/C][C]12.7267[/C][C]0.00530671[/C][C]0.118027[/C][/ROW]
[ROW][C]56[/C][C]12.82[/C][C]12.7582[/C][C]12.735[/C][C]0.0232234[/C][C]0.0617766[/C][/ROW]
[ROW][C]57[/C][C]12.79[/C][C]12.7461[/C][C]12.7421[/C][C]0.00405671[/C][C]0.04386[/C][/ROW]
[ROW][C]58[/C][C]12.94[/C][C]12.791[/C][C]12.7546[/C][C]0.0364178[/C][C]0.148999[/C][/ROW]
[ROW][C]59[/C][C]12.71[/C][C]12.8182[/C][C]12.7692[/C][C]0.0489873[/C][C]-0.108154[/C][/ROW]
[ROW][C]60[/C][C]12.56[/C][C]12.775[/C][C]12.7733[/C][C]0.0016956[/C][C]-0.215029[/C][/ROW]
[ROW][C]61[/C][C]12.64[/C][C]12.7151[/C][C]12.7738[/C][C]-0.0586516[/C][C]-0.0750984[/C][/ROW]
[ROW][C]62[/C][C]12.7[/C][C]12.7702[/C][C]12.7854[/C][C]-0.0152488[/C][C]-0.0701678[/C][/ROW]
[ROW][C]63[/C][C]12.74[/C][C]12.763[/C][C]12.8042[/C][C]-0.0411516[/C][C]-0.023015[/C][/ROW]
[ROW][C]64[/C][C]12.85[/C][C]12.8032[/C][C]12.8233[/C][C]-0.02011[/C][C]0.0467766[/C][/ROW]
[ROW][C]65[/C][C]12.84[/C][C]12.8557[/C][C]12.8558[/C][C]-0.000109954[/C][C]-0.0157234[/C][/ROW]
[ROW][C]66[/C][C]12.83[/C][C]12.9189[/C][C]12.9033[/C][C]0.0155845[/C][C]-0.0889178[/C][/ROW]
[ROW][C]67[/C][C]12.88[/C][C]12.957[/C][C]12.9517[/C][C]0.00530671[/C][C]-0.0769734[/C][/ROW]
[ROW][C]68[/C][C]13.07[/C][C]13.0141[/C][C]12.9908[/C][C]0.0232234[/C][C]0.0559433[/C][/ROW]
[ROW][C]69[/C][C]12.99[/C][C]13.032[/C][C]13.0279[/C][C]0.00405671[/C][C]-0.0419734[/C][/ROW]
[ROW][C]70[/C][C]13.2[/C][C]13.1048[/C][C]13.0683[/C][C]0.0364178[/C][C]0.0952488[/C][/ROW]
[ROW][C]71[/C][C]13.23[/C][C]13.1598[/C][C]13.1108[/C][C]0.0489873[/C][C]0.0701794[/C][/ROW]
[ROW][C]72[/C][C]13.18[/C][C]13.1529[/C][C]13.1512[/C][C]0.0016956[/C][C]0.0270544[/C][/ROW]
[ROW][C]73[/C][C]13.18[/C][C]13.1226[/C][C]13.1812[/C][C]-0.0586516[/C][C]0.0574016[/C][/ROW]
[ROW][C]74[/C][C]13.1[/C][C]13.1864[/C][C]13.2017[/C][C]-0.0152488[/C][C]-0.0864178[/C][/ROW]
[ROW][C]75[/C][C]13.23[/C][C]13.1888[/C][C]13.23[/C][C]-0.0411516[/C][C]0.0411516[/C][/ROW]
[ROW][C]76[/C][C]13.33[/C][C]13.2478[/C][C]13.2679[/C][C]-0.02011[/C][C]0.0821933[/C][/ROW]
[ROW][C]77[/C][C]13.38[/C][C]13.3028[/C][C]13.3029[/C][C]-0.000109954[/C][C]0.0771933[/C][/ROW]
[ROW][C]78[/C][C]13.26[/C][C]13.3568[/C][C]13.3412[/C][C]0.0155845[/C][C]-0.0968345[/C][/ROW]
[ROW][C]79[/C][C]13.17[/C][C]NA[/C][C]NA[/C][C]0.00530671[/C][C]NA[/C][/ROW]
[ROW][C]80[/C][C]13.27[/C][C]NA[/C][C]NA[/C][C]0.0232234[/C][C]NA[/C][/ROW]
[ROW][C]81[/C][C]13.47[/C][C]NA[/C][C]NA[/C][C]0.00405671[/C][C]NA[/C][/ROW]
[ROW][C]82[/C][C]13.63[/C][C]NA[/C][C]NA[/C][C]0.0364178[/C][C]NA[/C][/ROW]
[ROW][C]83[/C][C]13.64[/C][C]NA[/C][C]NA[/C][C]0.0489873[/C][C]NA[/C][/ROW]
[ROW][C]84[/C][C]13.69[/C][C]NA[/C][C]NA[/C][C]0.0016956[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231329&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231329&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
110.92NANA-0.0586516NA
210.98NANA-0.0152488NA
311.15NANA-0.0411516NA
411.19NANA-0.02011NA
511.33NANA-0.000109954NA
611.38NANA0.0155845NA
711.411.424111.41870.00530671-0.0240567
811.4511.515711.49250.0232234-0.0657234
911.5611.563611.55960.00405671-0.00364005
1011.6111.65611.61960.0364178-0.0460012
1111.8211.71911.670.04898730.101013
1211.7711.717511.71580.00169560.0524711
1311.8511.699711.7583-0.05865160.150318
1411.8211.781811.7971-0.01524880.0381655
1511.9211.786811.8279-0.04115160.133235
1611.8611.831611.8517-0.020110.0284433
1711.8711.868611.8687-0.0001099540.00135995
1811.9411.898111.88250.01558450.0419155
1911.8611.901611.89620.00530671-0.0415567
2011.9211.936611.91330.0232234-0.0165567
2111.8311.92711.92290.00405671-0.0969734
2211.9111.962711.92620.0364178-0.0526678
2311.9311.991111.94210.0489873-0.0610706
2411.9911.964611.96290.00169560.0253877
2511.9611.934311.9929-0.05865160.025735
2612.1212.012712.0279-0.01524880.107332
2711.8512.026312.0675-0.0411516-0.176348
2812.0112.089112.1092-0.02011-0.0790567
2912.112.147412.1475-0.000109954-0.04739
3012.2112.204812.18920.01558450.00524884
3112.3112.229112.22370.005306710.0809433
3212.3112.276112.25290.02322340.03386
3312.3912.297812.29370.004056710.0921933
3412.3512.373912.33750.0364178-0.0239178
3512.4112.422712.37370.0489873-0.0127373
3612.5112.407912.40620.00169560.102054
3712.2712.370912.4296-0.0586516-0.100932
3812.5112.43112.4462-0.01524880.0789988
3912.4412.422212.4633-0.04115160.0178183
4012.4712.458212.4783-0.020110.0117766
4112.5112.495712.4958-0.0001099540.0142766
4212.5812.527712.51210.01558450.0523322
4312.512.534112.52880.00530671-0.0340567
4412.5212.56712.54380.0232234-0.0469734
4512.5912.561112.55710.004056710.02886
4612.5112.609312.57290.0364178-0.0993345
4712.6712.636912.58790.04898730.0330961
4812.6412.609612.60790.00169560.0303877
4912.5412.575112.6338-0.0586516-0.0350984
5012.612.645612.6608-0.0152488-0.0455845
5112.6712.640512.6817-0.04115160.029485
5212.6212.687812.7079-0.02011-0.0678067
5312.7212.727412.7275-0.000109954-0.00739005
5412.8512.741412.72580.01558450.108582
5512.8512.73212.72670.005306710.118027
5612.8212.758212.7350.02322340.0617766
5712.7912.746112.74210.004056710.04386
5812.9412.79112.75460.03641780.148999
5912.7112.818212.76920.0489873-0.108154
6012.5612.77512.77330.0016956-0.215029
6112.6412.715112.7738-0.0586516-0.0750984
6212.712.770212.7854-0.0152488-0.0701678
6312.7412.76312.8042-0.0411516-0.023015
6412.8512.803212.8233-0.020110.0467766
6512.8412.855712.8558-0.000109954-0.0157234
6612.8312.918912.90330.0155845-0.0889178
6712.8812.95712.95170.00530671-0.0769734
6813.0713.014112.99080.02322340.0559433
6912.9913.03213.02790.00405671-0.0419734
7013.213.104813.06830.03641780.0952488
7113.2313.159813.11080.04898730.0701794
7213.1813.152913.15120.00169560.0270544
7313.1813.122613.1812-0.05865160.0574016
7413.113.186413.2017-0.0152488-0.0864178
7513.2313.188813.23-0.04115160.0411516
7613.3313.247813.2679-0.020110.0821933
7713.3813.302813.3029-0.0001099540.0771933
7813.2613.356813.34120.0155845-0.0968345
7913.17NANA0.00530671NA
8013.27NANA0.0232234NA
8113.47NANA0.00405671NA
8213.63NANA0.0364178NA
8313.64NANA0.0489873NA
8413.69NANA0.0016956NA



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')