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rwasp_decompose.wasp

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Classical Decomposition

Date of computation

Tue, 02 May 2017 21:48:11 +0100

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/May/02/t1493758253adh8eednjx79m2k.htm/, Retrieved Fri, 17 May 2024 04:11:09 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 17 May 2024 04:11:09 +0200

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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	3 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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]3 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=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	3 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	90.33	NA	NA	-0.0556806	NA
2	90.62	NA	NA	0.214569	NA
3	91.22	NA	NA	0.105403	NA
4	91.39	NA	NA	0.849819	NA
5	91.72	NA	NA	0.630903	NA
6	91.32	NA	NA	0.543403	NA
7	91.1	91.4394	91.3446	0.0948194	-0.339403
8	91.05	91.0473	91.5183	-0.471014	0.00268056
9	91.45	91.0421	91.6687	-0.626681	0.407931
10	91.53	91.3092	91.81	-0.500764	0.220764
11	91.63	91.5953	91.9713	-0.375931	0.0346806
12	91.78	91.7437	92.1525	-0.408847	0.0363472
13	92.32	92.3122	92.3679	-0.0556806	0.00776389
14	92.8	92.7929	92.5783	0.214569	0.00709722
15	92.65	92.8621	92.7567	0.105403	-0.212069
16	93.35	93.7844	92.9346	0.849819	-0.434403
17	93.63	93.788	93.1571	0.630903	-0.157986
18	93.76	93.9463	93.4029	0.543403	-0.186319
19	93.83	93.7252	93.6304	0.0948194	0.104764
20	93.37	93.3927	93.8638	-0.471014	-0.0227361
21	93.41	93.4967	94.1233	-0.626681	-0.0866528
22	93.84	93.8605	94.3612	-0.500764	-0.0204861
23	94.66	94.2007	94.5767	-0.375931	0.459264
24	94.65	94.3799	94.7887	-0.408847	0.270097
25	94.91	94.9306	94.9862	-0.0556806	-0.0205694
26	95.81	95.4275	95.2129	0.214569	0.382514
27	95.87	95.5812	95.4758	0.105403	0.288764
28	95.84	96.619	95.7692	0.849819	-0.778986
29	96.31	96.6922	96.0612	0.630903	-0.382153
30	96.17	96.8713	96.3279	0.543403	-0.701319
31	96.16	96.7123	96.6175	0.0948194	-0.552319
32	96.48	96.4448	96.9158	-0.471014	0.0351806
33	96.61	96.5896	97.2162	-0.626681	0.0204306
34	97.68	97.0655	97.5662	-0.500764	0.614514
35	97.83	97.5837	97.9596	-0.375931	0.246347
36	97.88	97.9662	98.375	-0.408847	-0.0861528
37	98.63	98.7152	98.7708	-0.0556806	-0.0851528
38	99.25	99.31	99.0954	0.214569	-0.0599861
39	99.64	99.4779	99.3725	0.105403	0.162097
40	100.47	100.441	99.5917	0.849819	0.0285139
41	101.12	100.387	99.7562	0.630903	0.732847
42	101.33	100.461	99.9179	0.543403	0.868681
43	100.5	100.169	100.074	0.0948194	0.331014
44	99.93	99.7115	100.182	-0.471014	0.218514
45	99.81	99.6071	100.234	-0.626681	0.202931
46	99.74	99.7797	100.28	-0.500764	-0.0396528
47	99.72	99.8866	100.262	-0.375931	-0.166569
48	99.87	99.7474	100.156	-0.408847	0.122597
49	100.39	100.022	100.078	-0.0556806	0.367764
50	100.09	100.22	100.006	0.214569	-0.130403
51	100.03	99.9921	99.8867	0.105403	0.0379306
52	101.2	100.6	99.75	0.849819	0.600181
53	99.96	100.259	99.6283	0.630903	-0.299236
54	99.94	100.073	99.5292	0.543403	-0.132569
55	100.01	99.5298	99.435	0.0948194	0.480181
56	98.69	98.8994	99.3704	-0.471014	-0.209403
57	98.19	98.7104	99.3371	-0.626681	-0.520403
58	98.08	98.8309	99.3317	-0.500764	-0.750903
59	98.46	99.0095	99.3854	-0.375931	-0.549486
60	98.75	99.0687	99.4775	-0.408847	-0.318653
61	99.25	99.4956	99.5512	-0.0556806	-0.245569
62	99.68	99.855	99.6404	0.214569	-0.174986
63	99.64	99.8925	99.7871	0.105403	-0.252486
64	101.46	100.851	100.001	0.849819	0.608931
65	100.99	100.859	100.228	0.630903	0.130764
66	101.12	100.944	100.401	0.543403	0.175764
67	100.6	NA	NA	0.0948194	NA
68	100.24	NA	NA	-0.471014	NA
69	100.16	NA	NA	-0.626681	NA
70	101.25	NA	NA	-0.500764	NA
71	100.74	NA	NA	-0.375931	NA
72	100.61	NA	NA	-0.408847	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 90.33 & NA & NA & -0.0556806 & NA \tabularnewline
2 & 90.62 & NA & NA & 0.214569 & NA \tabularnewline
3 & 91.22 & NA & NA & 0.105403 & NA \tabularnewline
4 & 91.39 & NA & NA & 0.849819 & NA \tabularnewline
5 & 91.72 & NA & NA & 0.630903 & NA \tabularnewline
6 & 91.32 & NA & NA & 0.543403 & NA \tabularnewline
7 & 91.1 & 91.4394 & 91.3446 & 0.0948194 & -0.339403 \tabularnewline
8 & 91.05 & 91.0473 & 91.5183 & -0.471014 & 0.00268056 \tabularnewline
9 & 91.45 & 91.0421 & 91.6687 & -0.626681 & 0.407931 \tabularnewline
10 & 91.53 & 91.3092 & 91.81 & -0.500764 & 0.220764 \tabularnewline
11 & 91.63 & 91.5953 & 91.9713 & -0.375931 & 0.0346806 \tabularnewline
12 & 91.78 & 91.7437 & 92.1525 & -0.408847 & 0.0363472 \tabularnewline
13 & 92.32 & 92.3122 & 92.3679 & -0.0556806 & 0.00776389 \tabularnewline
14 & 92.8 & 92.7929 & 92.5783 & 0.214569 & 0.00709722 \tabularnewline
15 & 92.65 & 92.8621 & 92.7567 & 0.105403 & -0.212069 \tabularnewline
16 & 93.35 & 93.7844 & 92.9346 & 0.849819 & -0.434403 \tabularnewline
17 & 93.63 & 93.788 & 93.1571 & 0.630903 & -0.157986 \tabularnewline
18 & 93.76 & 93.9463 & 93.4029 & 0.543403 & -0.186319 \tabularnewline
19 & 93.83 & 93.7252 & 93.6304 & 0.0948194 & 0.104764 \tabularnewline
20 & 93.37 & 93.3927 & 93.8638 & -0.471014 & -0.0227361 \tabularnewline
21 & 93.41 & 93.4967 & 94.1233 & -0.626681 & -0.0866528 \tabularnewline
22 & 93.84 & 93.8605 & 94.3612 & -0.500764 & -0.0204861 \tabularnewline
23 & 94.66 & 94.2007 & 94.5767 & -0.375931 & 0.459264 \tabularnewline
24 & 94.65 & 94.3799 & 94.7887 & -0.408847 & 0.270097 \tabularnewline
25 & 94.91 & 94.9306 & 94.9862 & -0.0556806 & -0.0205694 \tabularnewline
26 & 95.81 & 95.4275 & 95.2129 & 0.214569 & 0.382514 \tabularnewline
27 & 95.87 & 95.5812 & 95.4758 & 0.105403 & 0.288764 \tabularnewline
28 & 95.84 & 96.619 & 95.7692 & 0.849819 & -0.778986 \tabularnewline
29 & 96.31 & 96.6922 & 96.0612 & 0.630903 & -0.382153 \tabularnewline
30 & 96.17 & 96.8713 & 96.3279 & 0.543403 & -0.701319 \tabularnewline
31 & 96.16 & 96.7123 & 96.6175 & 0.0948194 & -0.552319 \tabularnewline
32 & 96.48 & 96.4448 & 96.9158 & -0.471014 & 0.0351806 \tabularnewline
33 & 96.61 & 96.5896 & 97.2162 & -0.626681 & 0.0204306 \tabularnewline
34 & 97.68 & 97.0655 & 97.5662 & -0.500764 & 0.614514 \tabularnewline
35 & 97.83 & 97.5837 & 97.9596 & -0.375931 & 0.246347 \tabularnewline
36 & 97.88 & 97.9662 & 98.375 & -0.408847 & -0.0861528 \tabularnewline
37 & 98.63 & 98.7152 & 98.7708 & -0.0556806 & -0.0851528 \tabularnewline
38 & 99.25 & 99.31 & 99.0954 & 0.214569 & -0.0599861 \tabularnewline
39 & 99.64 & 99.4779 & 99.3725 & 0.105403 & 0.162097 \tabularnewline
40 & 100.47 & 100.441 & 99.5917 & 0.849819 & 0.0285139 \tabularnewline
41 & 101.12 & 100.387 & 99.7562 & 0.630903 & 0.732847 \tabularnewline
42 & 101.33 & 100.461 & 99.9179 & 0.543403 & 0.868681 \tabularnewline
43 & 100.5 & 100.169 & 100.074 & 0.0948194 & 0.331014 \tabularnewline
44 & 99.93 & 99.7115 & 100.182 & -0.471014 & 0.218514 \tabularnewline
45 & 99.81 & 99.6071 & 100.234 & -0.626681 & 0.202931 \tabularnewline
46 & 99.74 & 99.7797 & 100.28 & -0.500764 & -0.0396528 \tabularnewline
47 & 99.72 & 99.8866 & 100.262 & -0.375931 & -0.166569 \tabularnewline
48 & 99.87 & 99.7474 & 100.156 & -0.408847 & 0.122597 \tabularnewline
49 & 100.39 & 100.022 & 100.078 & -0.0556806 & 0.367764 \tabularnewline
50 & 100.09 & 100.22 & 100.006 & 0.214569 & -0.130403 \tabularnewline
51 & 100.03 & 99.9921 & 99.8867 & 0.105403 & 0.0379306 \tabularnewline
52 & 101.2 & 100.6 & 99.75 & 0.849819 & 0.600181 \tabularnewline
53 & 99.96 & 100.259 & 99.6283 & 0.630903 & -0.299236 \tabularnewline
54 & 99.94 & 100.073 & 99.5292 & 0.543403 & -0.132569 \tabularnewline
55 & 100.01 & 99.5298 & 99.435 & 0.0948194 & 0.480181 \tabularnewline
56 & 98.69 & 98.8994 & 99.3704 & -0.471014 & -0.209403 \tabularnewline
57 & 98.19 & 98.7104 & 99.3371 & -0.626681 & -0.520403 \tabularnewline
58 & 98.08 & 98.8309 & 99.3317 & -0.500764 & -0.750903 \tabularnewline
59 & 98.46 & 99.0095 & 99.3854 & -0.375931 & -0.549486 \tabularnewline
60 & 98.75 & 99.0687 & 99.4775 & -0.408847 & -0.318653 \tabularnewline
61 & 99.25 & 99.4956 & 99.5512 & -0.0556806 & -0.245569 \tabularnewline
62 & 99.68 & 99.855 & 99.6404 & 0.214569 & -0.174986 \tabularnewline
63 & 99.64 & 99.8925 & 99.7871 & 0.105403 & -0.252486 \tabularnewline
64 & 101.46 & 100.851 & 100.001 & 0.849819 & 0.608931 \tabularnewline
65 & 100.99 & 100.859 & 100.228 & 0.630903 & 0.130764 \tabularnewline
66 & 101.12 & 100.944 & 100.401 & 0.543403 & 0.175764 \tabularnewline
67 & 100.6 & NA & NA & 0.0948194 & NA \tabularnewline
68 & 100.24 & NA & NA & -0.471014 & NA \tabularnewline
69 & 100.16 & NA & NA & -0.626681 & NA \tabularnewline
70 & 101.25 & NA & NA & -0.500764 & NA \tabularnewline
71 & 100.74 & NA & NA & -0.375931 & NA \tabularnewline
72 & 100.61 & NA & NA & -0.408847 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]90.33[/C][C]NA[/C][C]NA[/C][C]-0.0556806[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]90.62[/C][C]NA[/C][C]NA[/C][C]0.214569[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]91.22[/C][C]NA[/C][C]NA[/C][C]0.105403[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]91.39[/C][C]NA[/C][C]NA[/C][C]0.849819[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]91.72[/C][C]NA[/C][C]NA[/C][C]0.630903[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]91.32[/C][C]NA[/C][C]NA[/C][C]0.543403[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]91.1[/C][C]91.4394[/C][C]91.3446[/C][C]0.0948194[/C][C]-0.339403[/C][/ROW]
[ROW][C]8[/C][C]91.05[/C][C]91.0473[/C][C]91.5183[/C][C]-0.471014[/C][C]0.00268056[/C][/ROW]
[ROW][C]9[/C][C]91.45[/C][C]91.0421[/C][C]91.6687[/C][C]-0.626681[/C][C]0.407931[/C][/ROW]
[ROW][C]10[/C][C]91.53[/C][C]91.3092[/C][C]91.81[/C][C]-0.500764[/C][C]0.220764[/C][/ROW]
[ROW][C]11[/C][C]91.63[/C][C]91.5953[/C][C]91.9713[/C][C]-0.375931[/C][C]0.0346806[/C][/ROW]
[ROW][C]12[/C][C]91.78[/C][C]91.7437[/C][C]92.1525[/C][C]-0.408847[/C][C]0.0363472[/C][/ROW]
[ROW][C]13[/C][C]92.32[/C][C]92.3122[/C][C]92.3679[/C][C]-0.0556806[/C][C]0.00776389[/C][/ROW]
[ROW][C]14[/C][C]92.8[/C][C]92.7929[/C][C]92.5783[/C][C]0.214569[/C][C]0.00709722[/C][/ROW]
[ROW][C]15[/C][C]92.65[/C][C]92.8621[/C][C]92.7567[/C][C]0.105403[/C][C]-0.212069[/C][/ROW]
[ROW][C]16[/C][C]93.35[/C][C]93.7844[/C][C]92.9346[/C][C]0.849819[/C][C]-0.434403[/C][/ROW]
[ROW][C]17[/C][C]93.63[/C][C]93.788[/C][C]93.1571[/C][C]0.630903[/C][C]-0.157986[/C][/ROW]
[ROW][C]18[/C][C]93.76[/C][C]93.9463[/C][C]93.4029[/C][C]0.543403[/C][C]-0.186319[/C][/ROW]
[ROW][C]19[/C][C]93.83[/C][C]93.7252[/C][C]93.6304[/C][C]0.0948194[/C][C]0.104764[/C][/ROW]
[ROW][C]20[/C][C]93.37[/C][C]93.3927[/C][C]93.8638[/C][C]-0.471014[/C][C]-0.0227361[/C][/ROW]
[ROW][C]21[/C][C]93.41[/C][C]93.4967[/C][C]94.1233[/C][C]-0.626681[/C][C]-0.0866528[/C][/ROW]
[ROW][C]22[/C][C]93.84[/C][C]93.8605[/C][C]94.3612[/C][C]-0.500764[/C][C]-0.0204861[/C][/ROW]
[ROW][C]23[/C][C]94.66[/C][C]94.2007[/C][C]94.5767[/C][C]-0.375931[/C][C]0.459264[/C][/ROW]
[ROW][C]24[/C][C]94.65[/C][C]94.3799[/C][C]94.7887[/C][C]-0.408847[/C][C]0.270097[/C][/ROW]
[ROW][C]25[/C][C]94.91[/C][C]94.9306[/C][C]94.9862[/C][C]-0.0556806[/C][C]-0.0205694[/C][/ROW]
[ROW][C]26[/C][C]95.81[/C][C]95.4275[/C][C]95.2129[/C][C]0.214569[/C][C]0.382514[/C][/ROW]
[ROW][C]27[/C][C]95.87[/C][C]95.5812[/C][C]95.4758[/C][C]0.105403[/C][C]0.288764[/C][/ROW]
[ROW][C]28[/C][C]95.84[/C][C]96.619[/C][C]95.7692[/C][C]0.849819[/C][C]-0.778986[/C][/ROW]
[ROW][C]29[/C][C]96.31[/C][C]96.6922[/C][C]96.0612[/C][C]0.630903[/C][C]-0.382153[/C][/ROW]
[ROW][C]30[/C][C]96.17[/C][C]96.8713[/C][C]96.3279[/C][C]0.543403[/C][C]-0.701319[/C][/ROW]
[ROW][C]31[/C][C]96.16[/C][C]96.7123[/C][C]96.6175[/C][C]0.0948194[/C][C]-0.552319[/C][/ROW]
[ROW][C]32[/C][C]96.48[/C][C]96.4448[/C][C]96.9158[/C][C]-0.471014[/C][C]0.0351806[/C][/ROW]
[ROW][C]33[/C][C]96.61[/C][C]96.5896[/C][C]97.2162[/C][C]-0.626681[/C][C]0.0204306[/C][/ROW]
[ROW][C]34[/C][C]97.68[/C][C]97.0655[/C][C]97.5662[/C][C]-0.500764[/C][C]0.614514[/C][/ROW]
[ROW][C]35[/C][C]97.83[/C][C]97.5837[/C][C]97.9596[/C][C]-0.375931[/C][C]0.246347[/C][/ROW]
[ROW][C]36[/C][C]97.88[/C][C]97.9662[/C][C]98.375[/C][C]-0.408847[/C][C]-0.0861528[/C][/ROW]
[ROW][C]37[/C][C]98.63[/C][C]98.7152[/C][C]98.7708[/C][C]-0.0556806[/C][C]-0.0851528[/C][/ROW]
[ROW][C]38[/C][C]99.25[/C][C]99.31[/C][C]99.0954[/C][C]0.214569[/C][C]-0.0599861[/C][/ROW]
[ROW][C]39[/C][C]99.64[/C][C]99.4779[/C][C]99.3725[/C][C]0.105403[/C][C]0.162097[/C][/ROW]
[ROW][C]40[/C][C]100.47[/C][C]100.441[/C][C]99.5917[/C][C]0.849819[/C][C]0.0285139[/C][/ROW]
[ROW][C]41[/C][C]101.12[/C][C]100.387[/C][C]99.7562[/C][C]0.630903[/C][C]0.732847[/C][/ROW]
[ROW][C]42[/C][C]101.33[/C][C]100.461[/C][C]99.9179[/C][C]0.543403[/C][C]0.868681[/C][/ROW]
[ROW][C]43[/C][C]100.5[/C][C]100.169[/C][C]100.074[/C][C]0.0948194[/C][C]0.331014[/C][/ROW]
[ROW][C]44[/C][C]99.93[/C][C]99.7115[/C][C]100.182[/C][C]-0.471014[/C][C]0.218514[/C][/ROW]
[ROW][C]45[/C][C]99.81[/C][C]99.6071[/C][C]100.234[/C][C]-0.626681[/C][C]0.202931[/C][/ROW]
[ROW][C]46[/C][C]99.74[/C][C]99.7797[/C][C]100.28[/C][C]-0.500764[/C][C]-0.0396528[/C][/ROW]
[ROW][C]47[/C][C]99.72[/C][C]99.8866[/C][C]100.262[/C][C]-0.375931[/C][C]-0.166569[/C][/ROW]
[ROW][C]48[/C][C]99.87[/C][C]99.7474[/C][C]100.156[/C][C]-0.408847[/C][C]0.122597[/C][/ROW]
[ROW][C]49[/C][C]100.39[/C][C]100.022[/C][C]100.078[/C][C]-0.0556806[/C][C]0.367764[/C][/ROW]
[ROW][C]50[/C][C]100.09[/C][C]100.22[/C][C]100.006[/C][C]0.214569[/C][C]-0.130403[/C][/ROW]
[ROW][C]51[/C][C]100.03[/C][C]99.9921[/C][C]99.8867[/C][C]0.105403[/C][C]0.0379306[/C][/ROW]
[ROW][C]52[/C][C]101.2[/C][C]100.6[/C][C]99.75[/C][C]0.849819[/C][C]0.600181[/C][/ROW]
[ROW][C]53[/C][C]99.96[/C][C]100.259[/C][C]99.6283[/C][C]0.630903[/C][C]-0.299236[/C][/ROW]
[ROW][C]54[/C][C]99.94[/C][C]100.073[/C][C]99.5292[/C][C]0.543403[/C][C]-0.132569[/C][/ROW]
[ROW][C]55[/C][C]100.01[/C][C]99.5298[/C][C]99.435[/C][C]0.0948194[/C][C]0.480181[/C][/ROW]
[ROW][C]56[/C][C]98.69[/C][C]98.8994[/C][C]99.3704[/C][C]-0.471014[/C][C]-0.209403[/C][/ROW]
[ROW][C]57[/C][C]98.19[/C][C]98.7104[/C][C]99.3371[/C][C]-0.626681[/C][C]-0.520403[/C][/ROW]
[ROW][C]58[/C][C]98.08[/C][C]98.8309[/C][C]99.3317[/C][C]-0.500764[/C][C]-0.750903[/C][/ROW]
[ROW][C]59[/C][C]98.46[/C][C]99.0095[/C][C]99.3854[/C][C]-0.375931[/C][C]-0.549486[/C][/ROW]
[ROW][C]60[/C][C]98.75[/C][C]99.0687[/C][C]99.4775[/C][C]-0.408847[/C][C]-0.318653[/C][/ROW]
[ROW][C]61[/C][C]99.25[/C][C]99.4956[/C][C]99.5512[/C][C]-0.0556806[/C][C]-0.245569[/C][/ROW]
[ROW][C]62[/C][C]99.68[/C][C]99.855[/C][C]99.6404[/C][C]0.214569[/C][C]-0.174986[/C][/ROW]
[ROW][C]63[/C][C]99.64[/C][C]99.8925[/C][C]99.7871[/C][C]0.105403[/C][C]-0.252486[/C][/ROW]
[ROW][C]64[/C][C]101.46[/C][C]100.851[/C][C]100.001[/C][C]0.849819[/C][C]0.608931[/C][/ROW]
[ROW][C]65[/C][C]100.99[/C][C]100.859[/C][C]100.228[/C][C]0.630903[/C][C]0.130764[/C][/ROW]
[ROW][C]66[/C][C]101.12[/C][C]100.944[/C][C]100.401[/C][C]0.543403[/C][C]0.175764[/C][/ROW]
[ROW][C]67[/C][C]100.6[/C][C]NA[/C][C]NA[/C][C]0.0948194[/C][C]NA[/C][/ROW]
[ROW][C]68[/C][C]100.24[/C][C]NA[/C][C]NA[/C][C]-0.471014[/C][C]NA[/C][/ROW]
[ROW][C]69[/C][C]100.16[/C][C]NA[/C][C]NA[/C][C]-0.626681[/C][C]NA[/C][/ROW]
[ROW][C]70[/C][C]101.25[/C][C]NA[/C][C]NA[/C][C]-0.500764[/C][C]NA[/C][/ROW]
[ROW][C]71[/C][C]100.74[/C][C]NA[/C][C]NA[/C][C]-0.375931[/C][C]NA[/C][/ROW]
[ROW][C]72[/C][C]100.61[/C][C]NA[/C][C]NA[/C][C]-0.408847[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	90.33	NA	NA	-0.0556806	NA
2	90.62	NA	NA	0.214569	NA
3	91.22	NA	NA	0.105403	NA
4	91.39	NA	NA	0.849819	NA
5	91.72	NA	NA	0.630903	NA
6	91.32	NA	NA	0.543403	NA
7	91.1	91.4394	91.3446	0.0948194	-0.339403
8	91.05	91.0473	91.5183	-0.471014	0.00268056
9	91.45	91.0421	91.6687	-0.626681	0.407931
10	91.53	91.3092	91.81	-0.500764	0.220764
11	91.63	91.5953	91.9713	-0.375931	0.0346806
12	91.78	91.7437	92.1525	-0.408847	0.0363472
13	92.32	92.3122	92.3679	-0.0556806	0.00776389
14	92.8	92.7929	92.5783	0.214569	0.00709722
15	92.65	92.8621	92.7567	0.105403	-0.212069
16	93.35	93.7844	92.9346	0.849819	-0.434403
17	93.63	93.788	93.1571	0.630903	-0.157986
18	93.76	93.9463	93.4029	0.543403	-0.186319
19	93.83	93.7252	93.6304	0.0948194	0.104764
20	93.37	93.3927	93.8638	-0.471014	-0.0227361
21	93.41	93.4967	94.1233	-0.626681	-0.0866528
22	93.84	93.8605	94.3612	-0.500764	-0.0204861
23	94.66	94.2007	94.5767	-0.375931	0.459264
24	94.65	94.3799	94.7887	-0.408847	0.270097
25	94.91	94.9306	94.9862	-0.0556806	-0.0205694
26	95.81	95.4275	95.2129	0.214569	0.382514
27	95.87	95.5812	95.4758	0.105403	0.288764
28	95.84	96.619	95.7692	0.849819	-0.778986
29	96.31	96.6922	96.0612	0.630903	-0.382153
30	96.17	96.8713	96.3279	0.543403	-0.701319
31	96.16	96.7123	96.6175	0.0948194	-0.552319
32	96.48	96.4448	96.9158	-0.471014	0.0351806
33	96.61	96.5896	97.2162	-0.626681	0.0204306
34	97.68	97.0655	97.5662	-0.500764	0.614514
35	97.83	97.5837	97.9596	-0.375931	0.246347
36	97.88	97.9662	98.375	-0.408847	-0.0861528
37	98.63	98.7152	98.7708	-0.0556806	-0.0851528
38	99.25	99.31	99.0954	0.214569	-0.0599861
39	99.64	99.4779	99.3725	0.105403	0.162097
40	100.47	100.441	99.5917	0.849819	0.0285139
41	101.12	100.387	99.7562	0.630903	0.732847
42	101.33	100.461	99.9179	0.543403	0.868681
43	100.5	100.169	100.074	0.0948194	0.331014
44	99.93	99.7115	100.182	-0.471014	0.218514
45	99.81	99.6071	100.234	-0.626681	0.202931
46	99.74	99.7797	100.28	-0.500764	-0.0396528
47	99.72	99.8866	100.262	-0.375931	-0.166569
48	99.87	99.7474	100.156	-0.408847	0.122597
49	100.39	100.022	100.078	-0.0556806	0.367764
50	100.09	100.22	100.006	0.214569	-0.130403
51	100.03	99.9921	99.8867	0.105403	0.0379306
52	101.2	100.6	99.75	0.849819	0.600181
53	99.96	100.259	99.6283	0.630903	-0.299236
54	99.94	100.073	99.5292	0.543403	-0.132569
55	100.01	99.5298	99.435	0.0948194	0.480181
56	98.69	98.8994	99.3704	-0.471014	-0.209403
57	98.19	98.7104	99.3371	-0.626681	-0.520403
58	98.08	98.8309	99.3317	-0.500764	-0.750903
59	98.46	99.0095	99.3854	-0.375931	-0.549486
60	98.75	99.0687	99.4775	-0.408847	-0.318653
61	99.25	99.4956	99.5512	-0.0556806	-0.245569
62	99.68	99.855	99.6404	0.214569	-0.174986
63	99.64	99.8925	99.7871	0.105403	-0.252486
64	101.46	100.851	100.001	0.849819	0.608931
65	100.99	100.859	100.228	0.630903	0.130764
66	101.12	100.944	100.401	0.543403	0.175764
67	100.6	NA	NA	0.0948194	NA
68	100.24	NA	NA	-0.471014	NA
69	100.16	NA	NA	-0.626681	NA
70	101.25	NA	NA	-0.500764	NA
71	100.74	NA	NA	-0.375931	NA
72	100.61	NA	NA	-0.408847	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