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rwasp_decompose.wasp

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Classical Decomposition

Date of computation

Sat, 29 Nov 2014 15:54:33 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Nov/29/t1417276945q3eeattaip58hn3.htm/, Retrieved Sun, 19 May 2024 13:36:24 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=261200, Retrieved Sun, 19 May 2024 13:36:24 +0000

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-       [Classical Decomposition] [] [2014-11-29 15:54:33] [0d07a52a2a76253e93d9e0b2a80fc19c] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Herman Ole Andreas Wold' @ wold.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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=261200&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=261200&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=261200&T=0

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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	2 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	103.77	NA	NA	0.0501319	NA
2	103.82	NA	NA	0.0889653	NA
3	103.86	NA	NA	0.0510486	NA
4	103.9	NA	NA	0.0237986	NA
5	103.63	NA	NA	-0.154451	NA
6	103.65	NA	NA	-0.0683681	NA
7	103.7	103.855	103.89	-0.0348681	-0.155132
8	103.77	103.935	103.95	-0.0146181	-0.164965
9	103.94	104.047	104.021	0.0261319	-0.107382
10	104.03	104.151	104.098	0.0535486	-0.121049
11	104.03	104.09	104.155	-0.0645347	-0.0604653
12	104.29	104.237	104.193	0.0432153	0.0534514
13	104.35	104.288	104.238	0.0501319	0.0619514
14	104.67	104.374	104.285	0.0889653	0.296035
15	104.73	104.379	104.328	0.0510486	0.351035
16	104.86	104.387	104.363	0.0237986	0.473285
17	104.05	104.24	104.394	-0.154451	-0.189715
18	104.15	104.355	104.423	-0.0683681	-0.204549
19	104.27	104.412	104.447	-0.0348681	-0.141799
20	104.33	104.442	104.457	-0.0146181	-0.112049
21	104.41	104.474	104.448	0.0261319	-0.0644653
22	104.4	104.48	104.426	0.0535486	-0.0797986
23	104.41	104.376	104.44	-0.0645347	0.0341181
24	104.6	104.543	104.5	0.0432153	0.0567847
25	104.61	104.608	104.557	0.0501319	0.00236806
26	104.65	104.698	104.609	0.0889653	-0.0481319
27	104.55	104.708	104.657	0.0510486	-0.157715
28	104.51	104.727	104.703	0.0237986	-0.216715
29	104.74	104.603	104.758	-0.154451	0.136535
30	104.89	104.75	104.818	-0.0683681	0.140451
31	104.91	104.843	104.877	-0.0348681	0.0673681
32	104.93	104.923	104.938	-0.0146181	0.00670139
33	104.95	105.031	105.005	0.0261319	-0.0811319
34	104.97	105.129	105.075	0.0535486	-0.158965
35	105.16	105.085	105.15	-0.0645347	0.0749514
36	105.29	105.274	105.231	0.0432153	0.0155347
37	105.35	105.361	105.311	0.0501319	-0.0109653
38	105.36	105.481	105.392	0.0889653	-0.121465
39	105.45	105.529	105.478	0.0510486	-0.0785486
40	105.3	105.593	105.569	0.0237986	-0.292965
41	105.73	105.473	105.627	-0.154451	0.257368
42	105.86	105.572	105.64	-0.0683681	0.288368
43	105.85	105.611	105.646	-0.0348681	0.239035
44	105.95	105.634	105.648	-0.0146181	0.316285
45	105.97	105.666	105.64	0.0261319	0.303868
46	106.15	105.686	105.632	0.0535486	0.463951
47	105.37	105.538	105.603	-0.0645347	-0.168382
48	105.39	105.586	105.542	0.0432153	-0.195715
49	105.39	105.539	105.489	0.0501319	-0.149299
50	105.38	105.526	105.437	0.0889653	-0.145632
51	105.23	105.433	105.382	0.0510486	-0.202715
52	105.34	105.345	105.321	0.0237986	-0.00463194
53	104.98	105.136	105.29	-0.154451	-0.155965
54	105.16	105.232	105.3	-0.0683681	-0.0720486
55	105.27	105.28	105.315	-0.0348681	-0.0101319
56	105.27	105.317	105.331	-0.0146181	-0.0466319
57	105.33	105.382	105.355	0.0261319	-0.0515486
58	105.33	105.435	105.381	0.0535486	-0.104799
59	105.46	105.341	105.405	-0.0645347	0.119118
60	105.54	105.471	105.427	0.0432153	0.0692847
61	105.59	105.495	105.445	0.0501319	0.0952847
62	105.57	105.551	105.462	0.0889653	0.0185347
63	105.62	105.533	105.482	0.0510486	0.0872847
64	105.57	105.53	105.506	0.0237986	0.0403681
65	105.33	105.379	105.533	-0.154451	-0.0488819
66	105.34	105.493	105.561	-0.0683681	-0.152882
67	105.5	NA	NA	-0.0348681	NA
68	105.47	NA	NA	-0.0146181	NA
69	105.59	NA	NA	0.0261319	NA
70	105.65	NA	NA	0.0535486	NA
71	105.8	NA	NA	-0.0645347	NA
72	105.87	NA	NA	0.0432153	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 103.77 & NA & NA & 0.0501319 & NA \tabularnewline
2 & 103.82 & NA & NA & 0.0889653 & NA \tabularnewline
3 & 103.86 & NA & NA & 0.0510486 & NA \tabularnewline
4 & 103.9 & NA & NA & 0.0237986 & NA \tabularnewline
5 & 103.63 & NA & NA & -0.154451 & NA \tabularnewline
6 & 103.65 & NA & NA & -0.0683681 & NA \tabularnewline
7 & 103.7 & 103.855 & 103.89 & -0.0348681 & -0.155132 \tabularnewline
8 & 103.77 & 103.935 & 103.95 & -0.0146181 & -0.164965 \tabularnewline
9 & 103.94 & 104.047 & 104.021 & 0.0261319 & -0.107382 \tabularnewline
10 & 104.03 & 104.151 & 104.098 & 0.0535486 & -0.121049 \tabularnewline
11 & 104.03 & 104.09 & 104.155 & -0.0645347 & -0.0604653 \tabularnewline
12 & 104.29 & 104.237 & 104.193 & 0.0432153 & 0.0534514 \tabularnewline
13 & 104.35 & 104.288 & 104.238 & 0.0501319 & 0.0619514 \tabularnewline
14 & 104.67 & 104.374 & 104.285 & 0.0889653 & 0.296035 \tabularnewline
15 & 104.73 & 104.379 & 104.328 & 0.0510486 & 0.351035 \tabularnewline
16 & 104.86 & 104.387 & 104.363 & 0.0237986 & 0.473285 \tabularnewline
17 & 104.05 & 104.24 & 104.394 & -0.154451 & -0.189715 \tabularnewline
18 & 104.15 & 104.355 & 104.423 & -0.0683681 & -0.204549 \tabularnewline
19 & 104.27 & 104.412 & 104.447 & -0.0348681 & -0.141799 \tabularnewline
20 & 104.33 & 104.442 & 104.457 & -0.0146181 & -0.112049 \tabularnewline
21 & 104.41 & 104.474 & 104.448 & 0.0261319 & -0.0644653 \tabularnewline
22 & 104.4 & 104.48 & 104.426 & 0.0535486 & -0.0797986 \tabularnewline
23 & 104.41 & 104.376 & 104.44 & -0.0645347 & 0.0341181 \tabularnewline
24 & 104.6 & 104.543 & 104.5 & 0.0432153 & 0.0567847 \tabularnewline
25 & 104.61 & 104.608 & 104.557 & 0.0501319 & 0.00236806 \tabularnewline
26 & 104.65 & 104.698 & 104.609 & 0.0889653 & -0.0481319 \tabularnewline
27 & 104.55 & 104.708 & 104.657 & 0.0510486 & -0.157715 \tabularnewline
28 & 104.51 & 104.727 & 104.703 & 0.0237986 & -0.216715 \tabularnewline
29 & 104.74 & 104.603 & 104.758 & -0.154451 & 0.136535 \tabularnewline
30 & 104.89 & 104.75 & 104.818 & -0.0683681 & 0.140451 \tabularnewline
31 & 104.91 & 104.843 & 104.877 & -0.0348681 & 0.0673681 \tabularnewline
32 & 104.93 & 104.923 & 104.938 & -0.0146181 & 0.00670139 \tabularnewline
33 & 104.95 & 105.031 & 105.005 & 0.0261319 & -0.0811319 \tabularnewline
34 & 104.97 & 105.129 & 105.075 & 0.0535486 & -0.158965 \tabularnewline
35 & 105.16 & 105.085 & 105.15 & -0.0645347 & 0.0749514 \tabularnewline
36 & 105.29 & 105.274 & 105.231 & 0.0432153 & 0.0155347 \tabularnewline
37 & 105.35 & 105.361 & 105.311 & 0.0501319 & -0.0109653 \tabularnewline
38 & 105.36 & 105.481 & 105.392 & 0.0889653 & -0.121465 \tabularnewline
39 & 105.45 & 105.529 & 105.478 & 0.0510486 & -0.0785486 \tabularnewline
40 & 105.3 & 105.593 & 105.569 & 0.0237986 & -0.292965 \tabularnewline
41 & 105.73 & 105.473 & 105.627 & -0.154451 & 0.257368 \tabularnewline
42 & 105.86 & 105.572 & 105.64 & -0.0683681 & 0.288368 \tabularnewline
43 & 105.85 & 105.611 & 105.646 & -0.0348681 & 0.239035 \tabularnewline
44 & 105.95 & 105.634 & 105.648 & -0.0146181 & 0.316285 \tabularnewline
45 & 105.97 & 105.666 & 105.64 & 0.0261319 & 0.303868 \tabularnewline
46 & 106.15 & 105.686 & 105.632 & 0.0535486 & 0.463951 \tabularnewline
47 & 105.37 & 105.538 & 105.603 & -0.0645347 & -0.168382 \tabularnewline
48 & 105.39 & 105.586 & 105.542 & 0.0432153 & -0.195715 \tabularnewline
49 & 105.39 & 105.539 & 105.489 & 0.0501319 & -0.149299 \tabularnewline
50 & 105.38 & 105.526 & 105.437 & 0.0889653 & -0.145632 \tabularnewline
51 & 105.23 & 105.433 & 105.382 & 0.0510486 & -0.202715 \tabularnewline
52 & 105.34 & 105.345 & 105.321 & 0.0237986 & -0.00463194 \tabularnewline
53 & 104.98 & 105.136 & 105.29 & -0.154451 & -0.155965 \tabularnewline
54 & 105.16 & 105.232 & 105.3 & -0.0683681 & -0.0720486 \tabularnewline
55 & 105.27 & 105.28 & 105.315 & -0.0348681 & -0.0101319 \tabularnewline
56 & 105.27 & 105.317 & 105.331 & -0.0146181 & -0.0466319 \tabularnewline
57 & 105.33 & 105.382 & 105.355 & 0.0261319 & -0.0515486 \tabularnewline
58 & 105.33 & 105.435 & 105.381 & 0.0535486 & -0.104799 \tabularnewline
59 & 105.46 & 105.341 & 105.405 & -0.0645347 & 0.119118 \tabularnewline
60 & 105.54 & 105.471 & 105.427 & 0.0432153 & 0.0692847 \tabularnewline
61 & 105.59 & 105.495 & 105.445 & 0.0501319 & 0.0952847 \tabularnewline
62 & 105.57 & 105.551 & 105.462 & 0.0889653 & 0.0185347 \tabularnewline
63 & 105.62 & 105.533 & 105.482 & 0.0510486 & 0.0872847 \tabularnewline
64 & 105.57 & 105.53 & 105.506 & 0.0237986 & 0.0403681 \tabularnewline
65 & 105.33 & 105.379 & 105.533 & -0.154451 & -0.0488819 \tabularnewline
66 & 105.34 & 105.493 & 105.561 & -0.0683681 & -0.152882 \tabularnewline
67 & 105.5 & NA & NA & -0.0348681 & NA \tabularnewline
68 & 105.47 & NA & NA & -0.0146181 & NA \tabularnewline
69 & 105.59 & NA & NA & 0.0261319 & NA \tabularnewline
70 & 105.65 & NA & NA & 0.0535486 & NA \tabularnewline
71 & 105.8 & NA & NA & -0.0645347 & NA \tabularnewline
72 & 105.87 & NA & NA & 0.0432153 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=261200&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]103.77[/C][C]NA[/C][C]NA[/C][C]0.0501319[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]103.82[/C][C]NA[/C][C]NA[/C][C]0.0889653[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]103.86[/C][C]NA[/C][C]NA[/C][C]0.0510486[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]103.9[/C][C]NA[/C][C]NA[/C][C]0.0237986[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]103.63[/C][C]NA[/C][C]NA[/C][C]-0.154451[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]103.65[/C][C]NA[/C][C]NA[/C][C]-0.0683681[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]103.7[/C][C]103.855[/C][C]103.89[/C][C]-0.0348681[/C][C]-0.155132[/C][/ROW]
[ROW][C]8[/C][C]103.77[/C][C]103.935[/C][C]103.95[/C][C]-0.0146181[/C][C]-0.164965[/C][/ROW]
[ROW][C]9[/C][C]103.94[/C][C]104.047[/C][C]104.021[/C][C]0.0261319[/C][C]-0.107382[/C][/ROW]
[ROW][C]10[/C][C]104.03[/C][C]104.151[/C][C]104.098[/C][C]0.0535486[/C][C]-0.121049[/C][/ROW]
[ROW][C]11[/C][C]104.03[/C][C]104.09[/C][C]104.155[/C][C]-0.0645347[/C][C]-0.0604653[/C][/ROW]
[ROW][C]12[/C][C]104.29[/C][C]104.237[/C][C]104.193[/C][C]0.0432153[/C][C]0.0534514[/C][/ROW]
[ROW][C]13[/C][C]104.35[/C][C]104.288[/C][C]104.238[/C][C]0.0501319[/C][C]0.0619514[/C][/ROW]
[ROW][C]14[/C][C]104.67[/C][C]104.374[/C][C]104.285[/C][C]0.0889653[/C][C]0.296035[/C][/ROW]
[ROW][C]15[/C][C]104.73[/C][C]104.379[/C][C]104.328[/C][C]0.0510486[/C][C]0.351035[/C][/ROW]
[ROW][C]16[/C][C]104.86[/C][C]104.387[/C][C]104.363[/C][C]0.0237986[/C][C]0.473285[/C][/ROW]
[ROW][C]17[/C][C]104.05[/C][C]104.24[/C][C]104.394[/C][C]-0.154451[/C][C]-0.189715[/C][/ROW]
[ROW][C]18[/C][C]104.15[/C][C]104.355[/C][C]104.423[/C][C]-0.0683681[/C][C]-0.204549[/C][/ROW]
[ROW][C]19[/C][C]104.27[/C][C]104.412[/C][C]104.447[/C][C]-0.0348681[/C][C]-0.141799[/C][/ROW]
[ROW][C]20[/C][C]104.33[/C][C]104.442[/C][C]104.457[/C][C]-0.0146181[/C][C]-0.112049[/C][/ROW]
[ROW][C]21[/C][C]104.41[/C][C]104.474[/C][C]104.448[/C][C]0.0261319[/C][C]-0.0644653[/C][/ROW]
[ROW][C]22[/C][C]104.4[/C][C]104.48[/C][C]104.426[/C][C]0.0535486[/C][C]-0.0797986[/C][/ROW]
[ROW][C]23[/C][C]104.41[/C][C]104.376[/C][C]104.44[/C][C]-0.0645347[/C][C]0.0341181[/C][/ROW]
[ROW][C]24[/C][C]104.6[/C][C]104.543[/C][C]104.5[/C][C]0.0432153[/C][C]0.0567847[/C][/ROW]
[ROW][C]25[/C][C]104.61[/C][C]104.608[/C][C]104.557[/C][C]0.0501319[/C][C]0.00236806[/C][/ROW]
[ROW][C]26[/C][C]104.65[/C][C]104.698[/C][C]104.609[/C][C]0.0889653[/C][C]-0.0481319[/C][/ROW]
[ROW][C]27[/C][C]104.55[/C][C]104.708[/C][C]104.657[/C][C]0.0510486[/C][C]-0.157715[/C][/ROW]
[ROW][C]28[/C][C]104.51[/C][C]104.727[/C][C]104.703[/C][C]0.0237986[/C][C]-0.216715[/C][/ROW]
[ROW][C]29[/C][C]104.74[/C][C]104.603[/C][C]104.758[/C][C]-0.154451[/C][C]0.136535[/C][/ROW]
[ROW][C]30[/C][C]104.89[/C][C]104.75[/C][C]104.818[/C][C]-0.0683681[/C][C]0.140451[/C][/ROW]
[ROW][C]31[/C][C]104.91[/C][C]104.843[/C][C]104.877[/C][C]-0.0348681[/C][C]0.0673681[/C][/ROW]
[ROW][C]32[/C][C]104.93[/C][C]104.923[/C][C]104.938[/C][C]-0.0146181[/C][C]0.00670139[/C][/ROW]
[ROW][C]33[/C][C]104.95[/C][C]105.031[/C][C]105.005[/C][C]0.0261319[/C][C]-0.0811319[/C][/ROW]
[ROW][C]34[/C][C]104.97[/C][C]105.129[/C][C]105.075[/C][C]0.0535486[/C][C]-0.158965[/C][/ROW]
[ROW][C]35[/C][C]105.16[/C][C]105.085[/C][C]105.15[/C][C]-0.0645347[/C][C]0.0749514[/C][/ROW]
[ROW][C]36[/C][C]105.29[/C][C]105.274[/C][C]105.231[/C][C]0.0432153[/C][C]0.0155347[/C][/ROW]
[ROW][C]37[/C][C]105.35[/C][C]105.361[/C][C]105.311[/C][C]0.0501319[/C][C]-0.0109653[/C][/ROW]
[ROW][C]38[/C][C]105.36[/C][C]105.481[/C][C]105.392[/C][C]0.0889653[/C][C]-0.121465[/C][/ROW]
[ROW][C]39[/C][C]105.45[/C][C]105.529[/C][C]105.478[/C][C]0.0510486[/C][C]-0.0785486[/C][/ROW]
[ROW][C]40[/C][C]105.3[/C][C]105.593[/C][C]105.569[/C][C]0.0237986[/C][C]-0.292965[/C][/ROW]
[ROW][C]41[/C][C]105.73[/C][C]105.473[/C][C]105.627[/C][C]-0.154451[/C][C]0.257368[/C][/ROW]
[ROW][C]42[/C][C]105.86[/C][C]105.572[/C][C]105.64[/C][C]-0.0683681[/C][C]0.288368[/C][/ROW]
[ROW][C]43[/C][C]105.85[/C][C]105.611[/C][C]105.646[/C][C]-0.0348681[/C][C]0.239035[/C][/ROW]
[ROW][C]44[/C][C]105.95[/C][C]105.634[/C][C]105.648[/C][C]-0.0146181[/C][C]0.316285[/C][/ROW]
[ROW][C]45[/C][C]105.97[/C][C]105.666[/C][C]105.64[/C][C]0.0261319[/C][C]0.303868[/C][/ROW]
[ROW][C]46[/C][C]106.15[/C][C]105.686[/C][C]105.632[/C][C]0.0535486[/C][C]0.463951[/C][/ROW]
[ROW][C]47[/C][C]105.37[/C][C]105.538[/C][C]105.603[/C][C]-0.0645347[/C][C]-0.168382[/C][/ROW]
[ROW][C]48[/C][C]105.39[/C][C]105.586[/C][C]105.542[/C][C]0.0432153[/C][C]-0.195715[/C][/ROW]
[ROW][C]49[/C][C]105.39[/C][C]105.539[/C][C]105.489[/C][C]0.0501319[/C][C]-0.149299[/C][/ROW]
[ROW][C]50[/C][C]105.38[/C][C]105.526[/C][C]105.437[/C][C]0.0889653[/C][C]-0.145632[/C][/ROW]
[ROW][C]51[/C][C]105.23[/C][C]105.433[/C][C]105.382[/C][C]0.0510486[/C][C]-0.202715[/C][/ROW]
[ROW][C]52[/C][C]105.34[/C][C]105.345[/C][C]105.321[/C][C]0.0237986[/C][C]-0.00463194[/C][/ROW]
[ROW][C]53[/C][C]104.98[/C][C]105.136[/C][C]105.29[/C][C]-0.154451[/C][C]-0.155965[/C][/ROW]
[ROW][C]54[/C][C]105.16[/C][C]105.232[/C][C]105.3[/C][C]-0.0683681[/C][C]-0.0720486[/C][/ROW]
[ROW][C]55[/C][C]105.27[/C][C]105.28[/C][C]105.315[/C][C]-0.0348681[/C][C]-0.0101319[/C][/ROW]
[ROW][C]56[/C][C]105.27[/C][C]105.317[/C][C]105.331[/C][C]-0.0146181[/C][C]-0.0466319[/C][/ROW]
[ROW][C]57[/C][C]105.33[/C][C]105.382[/C][C]105.355[/C][C]0.0261319[/C][C]-0.0515486[/C][/ROW]
[ROW][C]58[/C][C]105.33[/C][C]105.435[/C][C]105.381[/C][C]0.0535486[/C][C]-0.104799[/C][/ROW]
[ROW][C]59[/C][C]105.46[/C][C]105.341[/C][C]105.405[/C][C]-0.0645347[/C][C]0.119118[/C][/ROW]
[ROW][C]60[/C][C]105.54[/C][C]105.471[/C][C]105.427[/C][C]0.0432153[/C][C]0.0692847[/C][/ROW]
[ROW][C]61[/C][C]105.59[/C][C]105.495[/C][C]105.445[/C][C]0.0501319[/C][C]0.0952847[/C][/ROW]
[ROW][C]62[/C][C]105.57[/C][C]105.551[/C][C]105.462[/C][C]0.0889653[/C][C]0.0185347[/C][/ROW]
[ROW][C]63[/C][C]105.62[/C][C]105.533[/C][C]105.482[/C][C]0.0510486[/C][C]0.0872847[/C][/ROW]
[ROW][C]64[/C][C]105.57[/C][C]105.53[/C][C]105.506[/C][C]0.0237986[/C][C]0.0403681[/C][/ROW]
[ROW][C]65[/C][C]105.33[/C][C]105.379[/C][C]105.533[/C][C]-0.154451[/C][C]-0.0488819[/C][/ROW]
[ROW][C]66[/C][C]105.34[/C][C]105.493[/C][C]105.561[/C][C]-0.0683681[/C][C]-0.152882[/C][/ROW]
[ROW][C]67[/C][C]105.5[/C][C]NA[/C][C]NA[/C][C]-0.0348681[/C][C]NA[/C][/ROW]
[ROW][C]68[/C][C]105.47[/C][C]NA[/C][C]NA[/C][C]-0.0146181[/C][C]NA[/C][/ROW]
[ROW][C]69[/C][C]105.59[/C][C]NA[/C][C]NA[/C][C]0.0261319[/C][C]NA[/C][/ROW]
[ROW][C]70[/C][C]105.65[/C][C]NA[/C][C]NA[/C][C]0.0535486[/C][C]NA[/C][/ROW]
[ROW][C]71[/C][C]105.8[/C][C]NA[/C][C]NA[/C][C]-0.0645347[/C][C]NA[/C][/ROW]
[ROW][C]72[/C][C]105.87[/C][C]NA[/C][C]NA[/C][C]0.0432153[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=261200&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=261200&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	103.77	NA	NA	0.0501319	NA
2	103.82	NA	NA	0.0889653	NA
3	103.86	NA	NA	0.0510486	NA
4	103.9	NA	NA	0.0237986	NA
5	103.63	NA	NA	-0.154451	NA
6	103.65	NA	NA	-0.0683681	NA
7	103.7	103.855	103.89	-0.0348681	-0.155132
8	103.77	103.935	103.95	-0.0146181	-0.164965
9	103.94	104.047	104.021	0.0261319	-0.107382
10	104.03	104.151	104.098	0.0535486	-0.121049
11	104.03	104.09	104.155	-0.0645347	-0.0604653
12	104.29	104.237	104.193	0.0432153	0.0534514
13	104.35	104.288	104.238	0.0501319	0.0619514
14	104.67	104.374	104.285	0.0889653	0.296035
15	104.73	104.379	104.328	0.0510486	0.351035
16	104.86	104.387	104.363	0.0237986	0.473285
17	104.05	104.24	104.394	-0.154451	-0.189715
18	104.15	104.355	104.423	-0.0683681	-0.204549
19	104.27	104.412	104.447	-0.0348681	-0.141799
20	104.33	104.442	104.457	-0.0146181	-0.112049
21	104.41	104.474	104.448	0.0261319	-0.0644653
22	104.4	104.48	104.426	0.0535486	-0.0797986
23	104.41	104.376	104.44	-0.0645347	0.0341181
24	104.6	104.543	104.5	0.0432153	0.0567847
25	104.61	104.608	104.557	0.0501319	0.00236806
26	104.65	104.698	104.609	0.0889653	-0.0481319
27	104.55	104.708	104.657	0.0510486	-0.157715
28	104.51	104.727	104.703	0.0237986	-0.216715
29	104.74	104.603	104.758	-0.154451	0.136535
30	104.89	104.75	104.818	-0.0683681	0.140451
31	104.91	104.843	104.877	-0.0348681	0.0673681
32	104.93	104.923	104.938	-0.0146181	0.00670139
33	104.95	105.031	105.005	0.0261319	-0.0811319
34	104.97	105.129	105.075	0.0535486	-0.158965
35	105.16	105.085	105.15	-0.0645347	0.0749514
36	105.29	105.274	105.231	0.0432153	0.0155347
37	105.35	105.361	105.311	0.0501319	-0.0109653
38	105.36	105.481	105.392	0.0889653	-0.121465
39	105.45	105.529	105.478	0.0510486	-0.0785486
40	105.3	105.593	105.569	0.0237986	-0.292965
41	105.73	105.473	105.627	-0.154451	0.257368
42	105.86	105.572	105.64	-0.0683681	0.288368
43	105.85	105.611	105.646	-0.0348681	0.239035
44	105.95	105.634	105.648	-0.0146181	0.316285
45	105.97	105.666	105.64	0.0261319	0.303868
46	106.15	105.686	105.632	0.0535486	0.463951
47	105.37	105.538	105.603	-0.0645347	-0.168382
48	105.39	105.586	105.542	0.0432153	-0.195715
49	105.39	105.539	105.489	0.0501319	-0.149299
50	105.38	105.526	105.437	0.0889653	-0.145632
51	105.23	105.433	105.382	0.0510486	-0.202715
52	105.34	105.345	105.321	0.0237986	-0.00463194
53	104.98	105.136	105.29	-0.154451	-0.155965
54	105.16	105.232	105.3	-0.0683681	-0.0720486
55	105.27	105.28	105.315	-0.0348681	-0.0101319
56	105.27	105.317	105.331	-0.0146181	-0.0466319
57	105.33	105.382	105.355	0.0261319	-0.0515486
58	105.33	105.435	105.381	0.0535486	-0.104799
59	105.46	105.341	105.405	-0.0645347	0.119118
60	105.54	105.471	105.427	0.0432153	0.0692847
61	105.59	105.495	105.445	0.0501319	0.0952847
62	105.57	105.551	105.462	0.0889653	0.0185347
63	105.62	105.533	105.482	0.0510486	0.0872847
64	105.57	105.53	105.506	0.0237986	0.0403681
65	105.33	105.379	105.533	-0.154451	-0.0488819
66	105.34	105.493	105.561	-0.0683681	-0.152882
67	105.5	NA	NA	-0.0348681	NA
68	105.47	NA	NA	-0.0146181	NA
69	105.59	NA	NA	0.0261319	NA
70	105.65	NA	NA	0.0535486	NA
71	105.8	NA	NA	-0.0645347	NA
72	105.87	NA	NA	0.0432153	NA

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code