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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Wed, 14 May 2014 07:52:35 -0400

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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/May/14/t14000684058a0fiwqmh9dtdzs.htm/, Retrieved Wed, 15 May 2024 04:21:36 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=234863, Retrieved Wed, 15 May 2024 04:21:36 +0000

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Estimated Impact

164

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-       [Classical Decomposition] [Classical Decompo...] [2014-05-14 11:52:35] [69755f0cff4725490512caf42eeaab1e] [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	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=234863&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=234863&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234863&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	3 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	227.81	NA	NA	0.196881	NA
2	227.81	NA	NA	0.187714	NA
3	227.01	NA	NA	0.423131	NA
4	227.26	NA	NA	-0.066522	NA
5	227.1	NA	NA	-0.0429109	NA
6	227.59	NA	NA	-0.407633	NA
7	227.59	226.906	227.124	-0.217772	0.683605
8	227.7	226.904	226.996	-0.0924942	0.796244
9	227.75	226.881	226.84	0.0414641	0.868953
10	226.33	226.341	226.525	-0.183883	-0.0111169
11	225.95	226.14	226.104	0.0365336	-0.190284
12	226.33	225.791	225.665	0.125492	0.539091
13	226.33	225.38	225.183	0.196881	0.950203
14	226.22	224.884	224.696	0.187714	1.33645
15	224.84	224.629	224.206	0.423131	0.210619
16	221.88	223.641	223.707	-0.066522	-1.76056
17	222.37	223.159	223.202	-0.0429109	-0.788756
18	221.8	222.282	222.69	-0.407633	-0.482367
19	221.8	221.949	222.167	-0.217772	-0.148895
20	221.8	221.555	221.648	-0.0924942	0.244578
21	221.9	221.256	221.215	0.0414641	0.643536
22	220.2	220.841	221.025	-0.183883	-0.6407
23	219.95	221.015	220.978	0.0365336	-1.06487
24	220.05	221.06	220.934	0.125492	-1.00966
25	220.05	221.106	220.909	0.196881	-1.05605
26	220.05	221.087	220.9	0.187714	-1.0373
27	220.62	221.341	220.918	0.423131	-0.721047
28	221.53	220.894	220.961	-0.066522	0.635689
29	221.61	221.01	221.052	-0.0429109	0.600411
30	221.5	220.777	221.184	-0.407633	0.723466
31	221.5	221.101	221.319	-0.217772	0.398605
32	221.87	221.364	221.456	-0.0924942	0.506244
33	222.27	221.611	221.57	0.0414641	0.658953
34	220.86	221.378	221.562	-0.183883	-0.517784
35	221.49	221.511	221.474	0.0365336	-0.0207002
36	221.67	221.484	221.359	0.125492	0.185758
37	221.67	221.396	221.2	0.196881	0.273536
38	221.72	221.213	221.025	0.187714	0.507286
39	221.67	221.251	220.828	0.423131	0.418953
40	220.29	220.69	220.756	-0.066522	-0.399728
41	220.75	220.719	220.762	-0.0429109	0.0308275
42	219.59	220.302	220.71	-0.407633	-0.712367
43	219.59	220.437	220.655	-0.217772	-0.847228
44	219.59	220.45	220.543	-0.0924942	-0.860422
45	219.82	220.472	220.43	0.0414641	-0.651881
46	221.59	220.199	220.383	-0.183883	1.39097
47	220.9	220.287	220.25	0.0365336	0.61305
48	221.01	220.195	220.07	0.125492	0.814508
49	221.01	220.132	219.935	0.196881	0.878119
50	219.69	219.969	219.782	0.187714	-0.279381
51	221	220.001	219.578	0.423131	0.998536
52	219.82	219.211	219.277	-0.066522	0.609439
53	218.04	218.916	218.959	-0.0429109	-0.876256
54	217.97	218.28	218.687	-0.407633	-0.309867
55	217.97	218.195	218.412	-0.217772	-0.224728
56	217.53	218.133	218.225	-0.0924942	-0.602922
57	217	218.126	218.084	0.0414641	-1.12563
58	217.18	217.772	217.956	-0.183883	-0.59195
59	217.68	218.037	218.001	0.0365336	-0.357367
60	217.71	218.288	218.162	0.125492	-0.577992
61	217.71	218.519	218.322	0.196881	-0.809381
62	218.5	218.696	218.509	0.187714	-0.196464
63	218.8	219.17	218.747	0.423131	-0.369797
64	218.94	218.971	219.038	-0.066522	-0.030978
65	220	219.34	219.383	-0.0429109	0.659578
66	219.89	219.32	219.728	-0.407633	0.569716
67	219.89	219.826	220.044	-0.217772	0.064022
68	220.08	220.238	220.331	-0.0924942	-0.158339
69	220.16	220.629	220.587	0.0414641	-0.468547
70	221	220.704	220.888	-0.183883	0.295966
71	222.16	221.214	221.178	0.0365336	0.94555
72	221.5	221.526	221.401	0.125492	-0.0263252
73	221.5	221.811	221.614	0.196881	-0.311047
74	221.6	222.005	221.817	0.187714	-0.405214
75	221.85	222.462	222.039	0.423131	-0.611881
76	223.11	222.238	222.305	-0.066522	0.871522
77	222.79	222.49	222.533	-0.0429109	0.299578
78	222.45	222.313	222.721	-0.407633	0.1368
79	222.45	NA	NA	-0.217772	NA
80	222.4	NA	NA	-0.0924942	NA
81	223.15	NA	NA	0.0414641	NA
82	224.4	NA	NA	-0.183883	NA
83	224.24	NA	NA	0.0365336	NA
84	223.92	NA	NA	0.125492	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 227.81 & NA & NA & 0.196881 & NA \tabularnewline
2 & 227.81 & NA & NA & 0.187714 & NA \tabularnewline
3 & 227.01 & NA & NA & 0.423131 & NA \tabularnewline
4 & 227.26 & NA & NA & -0.066522 & NA \tabularnewline
5 & 227.1 & NA & NA & -0.0429109 & NA \tabularnewline
6 & 227.59 & NA & NA & -0.407633 & NA \tabularnewline
7 & 227.59 & 226.906 & 227.124 & -0.217772 & 0.683605 \tabularnewline
8 & 227.7 & 226.904 & 226.996 & -0.0924942 & 0.796244 \tabularnewline
9 & 227.75 & 226.881 & 226.84 & 0.0414641 & 0.868953 \tabularnewline
10 & 226.33 & 226.341 & 226.525 & -0.183883 & -0.0111169 \tabularnewline
11 & 225.95 & 226.14 & 226.104 & 0.0365336 & -0.190284 \tabularnewline
12 & 226.33 & 225.791 & 225.665 & 0.125492 & 0.539091 \tabularnewline
13 & 226.33 & 225.38 & 225.183 & 0.196881 & 0.950203 \tabularnewline
14 & 226.22 & 224.884 & 224.696 & 0.187714 & 1.33645 \tabularnewline
15 & 224.84 & 224.629 & 224.206 & 0.423131 & 0.210619 \tabularnewline
16 & 221.88 & 223.641 & 223.707 & -0.066522 & -1.76056 \tabularnewline
17 & 222.37 & 223.159 & 223.202 & -0.0429109 & -0.788756 \tabularnewline
18 & 221.8 & 222.282 & 222.69 & -0.407633 & -0.482367 \tabularnewline
19 & 221.8 & 221.949 & 222.167 & -0.217772 & -0.148895 \tabularnewline
20 & 221.8 & 221.555 & 221.648 & -0.0924942 & 0.244578 \tabularnewline
21 & 221.9 & 221.256 & 221.215 & 0.0414641 & 0.643536 \tabularnewline
22 & 220.2 & 220.841 & 221.025 & -0.183883 & -0.6407 \tabularnewline
23 & 219.95 & 221.015 & 220.978 & 0.0365336 & -1.06487 \tabularnewline
24 & 220.05 & 221.06 & 220.934 & 0.125492 & -1.00966 \tabularnewline
25 & 220.05 & 221.106 & 220.909 & 0.196881 & -1.05605 \tabularnewline
26 & 220.05 & 221.087 & 220.9 & 0.187714 & -1.0373 \tabularnewline
27 & 220.62 & 221.341 & 220.918 & 0.423131 & -0.721047 \tabularnewline
28 & 221.53 & 220.894 & 220.961 & -0.066522 & 0.635689 \tabularnewline
29 & 221.61 & 221.01 & 221.052 & -0.0429109 & 0.600411 \tabularnewline
30 & 221.5 & 220.777 & 221.184 & -0.407633 & 0.723466 \tabularnewline
31 & 221.5 & 221.101 & 221.319 & -0.217772 & 0.398605 \tabularnewline
32 & 221.87 & 221.364 & 221.456 & -0.0924942 & 0.506244 \tabularnewline
33 & 222.27 & 221.611 & 221.57 & 0.0414641 & 0.658953 \tabularnewline
34 & 220.86 & 221.378 & 221.562 & -0.183883 & -0.517784 \tabularnewline
35 & 221.49 & 221.511 & 221.474 & 0.0365336 & -0.0207002 \tabularnewline
36 & 221.67 & 221.484 & 221.359 & 0.125492 & 0.185758 \tabularnewline
37 & 221.67 & 221.396 & 221.2 & 0.196881 & 0.273536 \tabularnewline
38 & 221.72 & 221.213 & 221.025 & 0.187714 & 0.507286 \tabularnewline
39 & 221.67 & 221.251 & 220.828 & 0.423131 & 0.418953 \tabularnewline
40 & 220.29 & 220.69 & 220.756 & -0.066522 & -0.399728 \tabularnewline
41 & 220.75 & 220.719 & 220.762 & -0.0429109 & 0.0308275 \tabularnewline
42 & 219.59 & 220.302 & 220.71 & -0.407633 & -0.712367 \tabularnewline
43 & 219.59 & 220.437 & 220.655 & -0.217772 & -0.847228 \tabularnewline
44 & 219.59 & 220.45 & 220.543 & -0.0924942 & -0.860422 \tabularnewline
45 & 219.82 & 220.472 & 220.43 & 0.0414641 & -0.651881 \tabularnewline
46 & 221.59 & 220.199 & 220.383 & -0.183883 & 1.39097 \tabularnewline
47 & 220.9 & 220.287 & 220.25 & 0.0365336 & 0.61305 \tabularnewline
48 & 221.01 & 220.195 & 220.07 & 0.125492 & 0.814508 \tabularnewline
49 & 221.01 & 220.132 & 219.935 & 0.196881 & 0.878119 \tabularnewline
50 & 219.69 & 219.969 & 219.782 & 0.187714 & -0.279381 \tabularnewline
51 & 221 & 220.001 & 219.578 & 0.423131 & 0.998536 \tabularnewline
52 & 219.82 & 219.211 & 219.277 & -0.066522 & 0.609439 \tabularnewline
53 & 218.04 & 218.916 & 218.959 & -0.0429109 & -0.876256 \tabularnewline
54 & 217.97 & 218.28 & 218.687 & -0.407633 & -0.309867 \tabularnewline
55 & 217.97 & 218.195 & 218.412 & -0.217772 & -0.224728 \tabularnewline
56 & 217.53 & 218.133 & 218.225 & -0.0924942 & -0.602922 \tabularnewline
57 & 217 & 218.126 & 218.084 & 0.0414641 & -1.12563 \tabularnewline
58 & 217.18 & 217.772 & 217.956 & -0.183883 & -0.59195 \tabularnewline
59 & 217.68 & 218.037 & 218.001 & 0.0365336 & -0.357367 \tabularnewline
60 & 217.71 & 218.288 & 218.162 & 0.125492 & -0.577992 \tabularnewline
61 & 217.71 & 218.519 & 218.322 & 0.196881 & -0.809381 \tabularnewline
62 & 218.5 & 218.696 & 218.509 & 0.187714 & -0.196464 \tabularnewline
63 & 218.8 & 219.17 & 218.747 & 0.423131 & -0.369797 \tabularnewline
64 & 218.94 & 218.971 & 219.038 & -0.066522 & -0.030978 \tabularnewline
65 & 220 & 219.34 & 219.383 & -0.0429109 & 0.659578 \tabularnewline
66 & 219.89 & 219.32 & 219.728 & -0.407633 & 0.569716 \tabularnewline
67 & 219.89 & 219.826 & 220.044 & -0.217772 & 0.064022 \tabularnewline
68 & 220.08 & 220.238 & 220.331 & -0.0924942 & -0.158339 \tabularnewline
69 & 220.16 & 220.629 & 220.587 & 0.0414641 & -0.468547 \tabularnewline
70 & 221 & 220.704 & 220.888 & -0.183883 & 0.295966 \tabularnewline
71 & 222.16 & 221.214 & 221.178 & 0.0365336 & 0.94555 \tabularnewline
72 & 221.5 & 221.526 & 221.401 & 0.125492 & -0.0263252 \tabularnewline
73 & 221.5 & 221.811 & 221.614 & 0.196881 & -0.311047 \tabularnewline
74 & 221.6 & 222.005 & 221.817 & 0.187714 & -0.405214 \tabularnewline
75 & 221.85 & 222.462 & 222.039 & 0.423131 & -0.611881 \tabularnewline
76 & 223.11 & 222.238 & 222.305 & -0.066522 & 0.871522 \tabularnewline
77 & 222.79 & 222.49 & 222.533 & -0.0429109 & 0.299578 \tabularnewline
78 & 222.45 & 222.313 & 222.721 & -0.407633 & 0.1368 \tabularnewline
79 & 222.45 & NA & NA & -0.217772 & NA \tabularnewline
80 & 222.4 & NA & NA & -0.0924942 & NA \tabularnewline
81 & 223.15 & NA & NA & 0.0414641 & NA \tabularnewline
82 & 224.4 & NA & NA & -0.183883 & NA \tabularnewline
83 & 224.24 & NA & NA & 0.0365336 & NA \tabularnewline
84 & 223.92 & NA & NA & 0.125492 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234863&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]227.81[/C][C]NA[/C][C]NA[/C][C]0.196881[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]227.81[/C][C]NA[/C][C]NA[/C][C]0.187714[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]227.01[/C][C]NA[/C][C]NA[/C][C]0.423131[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]227.26[/C][C]NA[/C][C]NA[/C][C]-0.066522[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]227.1[/C][C]NA[/C][C]NA[/C][C]-0.0429109[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]227.59[/C][C]NA[/C][C]NA[/C][C]-0.407633[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]227.59[/C][C]226.906[/C][C]227.124[/C][C]-0.217772[/C][C]0.683605[/C][/ROW]
[ROW][C]8[/C][C]227.7[/C][C]226.904[/C][C]226.996[/C][C]-0.0924942[/C][C]0.796244[/C][/ROW]
[ROW][C]9[/C][C]227.75[/C][C]226.881[/C][C]226.84[/C][C]0.0414641[/C][C]0.868953[/C][/ROW]
[ROW][C]10[/C][C]226.33[/C][C]226.341[/C][C]226.525[/C][C]-0.183883[/C][C]-0.0111169[/C][/ROW]
[ROW][C]11[/C][C]225.95[/C][C]226.14[/C][C]226.104[/C][C]0.0365336[/C][C]-0.190284[/C][/ROW]
[ROW][C]12[/C][C]226.33[/C][C]225.791[/C][C]225.665[/C][C]0.125492[/C][C]0.539091[/C][/ROW]
[ROW][C]13[/C][C]226.33[/C][C]225.38[/C][C]225.183[/C][C]0.196881[/C][C]0.950203[/C][/ROW]
[ROW][C]14[/C][C]226.22[/C][C]224.884[/C][C]224.696[/C][C]0.187714[/C][C]1.33645[/C][/ROW]
[ROW][C]15[/C][C]224.84[/C][C]224.629[/C][C]224.206[/C][C]0.423131[/C][C]0.210619[/C][/ROW]
[ROW][C]16[/C][C]221.88[/C][C]223.641[/C][C]223.707[/C][C]-0.066522[/C][C]-1.76056[/C][/ROW]
[ROW][C]17[/C][C]222.37[/C][C]223.159[/C][C]223.202[/C][C]-0.0429109[/C][C]-0.788756[/C][/ROW]
[ROW][C]18[/C][C]221.8[/C][C]222.282[/C][C]222.69[/C][C]-0.407633[/C][C]-0.482367[/C][/ROW]
[ROW][C]19[/C][C]221.8[/C][C]221.949[/C][C]222.167[/C][C]-0.217772[/C][C]-0.148895[/C][/ROW]
[ROW][C]20[/C][C]221.8[/C][C]221.555[/C][C]221.648[/C][C]-0.0924942[/C][C]0.244578[/C][/ROW]
[ROW][C]21[/C][C]221.9[/C][C]221.256[/C][C]221.215[/C][C]0.0414641[/C][C]0.643536[/C][/ROW]
[ROW][C]22[/C][C]220.2[/C][C]220.841[/C][C]221.025[/C][C]-0.183883[/C][C]-0.6407[/C][/ROW]
[ROW][C]23[/C][C]219.95[/C][C]221.015[/C][C]220.978[/C][C]0.0365336[/C][C]-1.06487[/C][/ROW]
[ROW][C]24[/C][C]220.05[/C][C]221.06[/C][C]220.934[/C][C]0.125492[/C][C]-1.00966[/C][/ROW]
[ROW][C]25[/C][C]220.05[/C][C]221.106[/C][C]220.909[/C][C]0.196881[/C][C]-1.05605[/C][/ROW]
[ROW][C]26[/C][C]220.05[/C][C]221.087[/C][C]220.9[/C][C]0.187714[/C][C]-1.0373[/C][/ROW]
[ROW][C]27[/C][C]220.62[/C][C]221.341[/C][C]220.918[/C][C]0.423131[/C][C]-0.721047[/C][/ROW]
[ROW][C]28[/C][C]221.53[/C][C]220.894[/C][C]220.961[/C][C]-0.066522[/C][C]0.635689[/C][/ROW]
[ROW][C]29[/C][C]221.61[/C][C]221.01[/C][C]221.052[/C][C]-0.0429109[/C][C]0.600411[/C][/ROW]
[ROW][C]30[/C][C]221.5[/C][C]220.777[/C][C]221.184[/C][C]-0.407633[/C][C]0.723466[/C][/ROW]
[ROW][C]31[/C][C]221.5[/C][C]221.101[/C][C]221.319[/C][C]-0.217772[/C][C]0.398605[/C][/ROW]
[ROW][C]32[/C][C]221.87[/C][C]221.364[/C][C]221.456[/C][C]-0.0924942[/C][C]0.506244[/C][/ROW]
[ROW][C]33[/C][C]222.27[/C][C]221.611[/C][C]221.57[/C][C]0.0414641[/C][C]0.658953[/C][/ROW]
[ROW][C]34[/C][C]220.86[/C][C]221.378[/C][C]221.562[/C][C]-0.183883[/C][C]-0.517784[/C][/ROW]
[ROW][C]35[/C][C]221.49[/C][C]221.511[/C][C]221.474[/C][C]0.0365336[/C][C]-0.0207002[/C][/ROW]
[ROW][C]36[/C][C]221.67[/C][C]221.484[/C][C]221.359[/C][C]0.125492[/C][C]0.185758[/C][/ROW]
[ROW][C]37[/C][C]221.67[/C][C]221.396[/C][C]221.2[/C][C]0.196881[/C][C]0.273536[/C][/ROW]
[ROW][C]38[/C][C]221.72[/C][C]221.213[/C][C]221.025[/C][C]0.187714[/C][C]0.507286[/C][/ROW]
[ROW][C]39[/C][C]221.67[/C][C]221.251[/C][C]220.828[/C][C]0.423131[/C][C]0.418953[/C][/ROW]
[ROW][C]40[/C][C]220.29[/C][C]220.69[/C][C]220.756[/C][C]-0.066522[/C][C]-0.399728[/C][/ROW]
[ROW][C]41[/C][C]220.75[/C][C]220.719[/C][C]220.762[/C][C]-0.0429109[/C][C]0.0308275[/C][/ROW]
[ROW][C]42[/C][C]219.59[/C][C]220.302[/C][C]220.71[/C][C]-0.407633[/C][C]-0.712367[/C][/ROW]
[ROW][C]43[/C][C]219.59[/C][C]220.437[/C][C]220.655[/C][C]-0.217772[/C][C]-0.847228[/C][/ROW]
[ROW][C]44[/C][C]219.59[/C][C]220.45[/C][C]220.543[/C][C]-0.0924942[/C][C]-0.860422[/C][/ROW]
[ROW][C]45[/C][C]219.82[/C][C]220.472[/C][C]220.43[/C][C]0.0414641[/C][C]-0.651881[/C][/ROW]
[ROW][C]46[/C][C]221.59[/C][C]220.199[/C][C]220.383[/C][C]-0.183883[/C][C]1.39097[/C][/ROW]
[ROW][C]47[/C][C]220.9[/C][C]220.287[/C][C]220.25[/C][C]0.0365336[/C][C]0.61305[/C][/ROW]
[ROW][C]48[/C][C]221.01[/C][C]220.195[/C][C]220.07[/C][C]0.125492[/C][C]0.814508[/C][/ROW]
[ROW][C]49[/C][C]221.01[/C][C]220.132[/C][C]219.935[/C][C]0.196881[/C][C]0.878119[/C][/ROW]
[ROW][C]50[/C][C]219.69[/C][C]219.969[/C][C]219.782[/C][C]0.187714[/C][C]-0.279381[/C][/ROW]
[ROW][C]51[/C][C]221[/C][C]220.001[/C][C]219.578[/C][C]0.423131[/C][C]0.998536[/C][/ROW]
[ROW][C]52[/C][C]219.82[/C][C]219.211[/C][C]219.277[/C][C]-0.066522[/C][C]0.609439[/C][/ROW]
[ROW][C]53[/C][C]218.04[/C][C]218.916[/C][C]218.959[/C][C]-0.0429109[/C][C]-0.876256[/C][/ROW]
[ROW][C]54[/C][C]217.97[/C][C]218.28[/C][C]218.687[/C][C]-0.407633[/C][C]-0.309867[/C][/ROW]
[ROW][C]55[/C][C]217.97[/C][C]218.195[/C][C]218.412[/C][C]-0.217772[/C][C]-0.224728[/C][/ROW]
[ROW][C]56[/C][C]217.53[/C][C]218.133[/C][C]218.225[/C][C]-0.0924942[/C][C]-0.602922[/C][/ROW]
[ROW][C]57[/C][C]217[/C][C]218.126[/C][C]218.084[/C][C]0.0414641[/C][C]-1.12563[/C][/ROW]
[ROW][C]58[/C][C]217.18[/C][C]217.772[/C][C]217.956[/C][C]-0.183883[/C][C]-0.59195[/C][/ROW]
[ROW][C]59[/C][C]217.68[/C][C]218.037[/C][C]218.001[/C][C]0.0365336[/C][C]-0.357367[/C][/ROW]
[ROW][C]60[/C][C]217.71[/C][C]218.288[/C][C]218.162[/C][C]0.125492[/C][C]-0.577992[/C][/ROW]
[ROW][C]61[/C][C]217.71[/C][C]218.519[/C][C]218.322[/C][C]0.196881[/C][C]-0.809381[/C][/ROW]
[ROW][C]62[/C][C]218.5[/C][C]218.696[/C][C]218.509[/C][C]0.187714[/C][C]-0.196464[/C][/ROW]
[ROW][C]63[/C][C]218.8[/C][C]219.17[/C][C]218.747[/C][C]0.423131[/C][C]-0.369797[/C][/ROW]
[ROW][C]64[/C][C]218.94[/C][C]218.971[/C][C]219.038[/C][C]-0.066522[/C][C]-0.030978[/C][/ROW]
[ROW][C]65[/C][C]220[/C][C]219.34[/C][C]219.383[/C][C]-0.0429109[/C][C]0.659578[/C][/ROW]
[ROW][C]66[/C][C]219.89[/C][C]219.32[/C][C]219.728[/C][C]-0.407633[/C][C]0.569716[/C][/ROW]
[ROW][C]67[/C][C]219.89[/C][C]219.826[/C][C]220.044[/C][C]-0.217772[/C][C]0.064022[/C][/ROW]
[ROW][C]68[/C][C]220.08[/C][C]220.238[/C][C]220.331[/C][C]-0.0924942[/C][C]-0.158339[/C][/ROW]
[ROW][C]69[/C][C]220.16[/C][C]220.629[/C][C]220.587[/C][C]0.0414641[/C][C]-0.468547[/C][/ROW]
[ROW][C]70[/C][C]221[/C][C]220.704[/C][C]220.888[/C][C]-0.183883[/C][C]0.295966[/C][/ROW]
[ROW][C]71[/C][C]222.16[/C][C]221.214[/C][C]221.178[/C][C]0.0365336[/C][C]0.94555[/C][/ROW]
[ROW][C]72[/C][C]221.5[/C][C]221.526[/C][C]221.401[/C][C]0.125492[/C][C]-0.0263252[/C][/ROW]
[ROW][C]73[/C][C]221.5[/C][C]221.811[/C][C]221.614[/C][C]0.196881[/C][C]-0.311047[/C][/ROW]
[ROW][C]74[/C][C]221.6[/C][C]222.005[/C][C]221.817[/C][C]0.187714[/C][C]-0.405214[/C][/ROW]
[ROW][C]75[/C][C]221.85[/C][C]222.462[/C][C]222.039[/C][C]0.423131[/C][C]-0.611881[/C][/ROW]
[ROW][C]76[/C][C]223.11[/C][C]222.238[/C][C]222.305[/C][C]-0.066522[/C][C]0.871522[/C][/ROW]
[ROW][C]77[/C][C]222.79[/C][C]222.49[/C][C]222.533[/C][C]-0.0429109[/C][C]0.299578[/C][/ROW]
[ROW][C]78[/C][C]222.45[/C][C]222.313[/C][C]222.721[/C][C]-0.407633[/C][C]0.1368[/C][/ROW]
[ROW][C]79[/C][C]222.45[/C][C]NA[/C][C]NA[/C][C]-0.217772[/C][C]NA[/C][/ROW]
[ROW][C]80[/C][C]222.4[/C][C]NA[/C][C]NA[/C][C]-0.0924942[/C][C]NA[/C][/ROW]
[ROW][C]81[/C][C]223.15[/C][C]NA[/C][C]NA[/C][C]0.0414641[/C][C]NA[/C][/ROW]
[ROW][C]82[/C][C]224.4[/C][C]NA[/C][C]NA[/C][C]-0.183883[/C][C]NA[/C][/ROW]
[ROW][C]83[/C][C]224.24[/C][C]NA[/C][C]NA[/C][C]0.0365336[/C][C]NA[/C][/ROW]
[ROW][C]84[/C][C]223.92[/C][C]NA[/C][C]NA[/C][C]0.125492[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234863&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234863&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	227.81	NA	NA	0.196881	NA
2	227.81	NA	NA	0.187714	NA
3	227.01	NA	NA	0.423131	NA
4	227.26	NA	NA	-0.066522	NA
5	227.1	NA	NA	-0.0429109	NA
6	227.59	NA	NA	-0.407633	NA
7	227.59	226.906	227.124	-0.217772	0.683605
8	227.7	226.904	226.996	-0.0924942	0.796244
9	227.75	226.881	226.84	0.0414641	0.868953
10	226.33	226.341	226.525	-0.183883	-0.0111169
11	225.95	226.14	226.104	0.0365336	-0.190284
12	226.33	225.791	225.665	0.125492	0.539091
13	226.33	225.38	225.183	0.196881	0.950203
14	226.22	224.884	224.696	0.187714	1.33645
15	224.84	224.629	224.206	0.423131	0.210619
16	221.88	223.641	223.707	-0.066522	-1.76056
17	222.37	223.159	223.202	-0.0429109	-0.788756
18	221.8	222.282	222.69	-0.407633	-0.482367
19	221.8	221.949	222.167	-0.217772	-0.148895
20	221.8	221.555	221.648	-0.0924942	0.244578
21	221.9	221.256	221.215	0.0414641	0.643536
22	220.2	220.841	221.025	-0.183883	-0.6407
23	219.95	221.015	220.978	0.0365336	-1.06487
24	220.05	221.06	220.934	0.125492	-1.00966
25	220.05	221.106	220.909	0.196881	-1.05605
26	220.05	221.087	220.9	0.187714	-1.0373
27	220.62	221.341	220.918	0.423131	-0.721047
28	221.53	220.894	220.961	-0.066522	0.635689
29	221.61	221.01	221.052	-0.0429109	0.600411
30	221.5	220.777	221.184	-0.407633	0.723466
31	221.5	221.101	221.319	-0.217772	0.398605
32	221.87	221.364	221.456	-0.0924942	0.506244
33	222.27	221.611	221.57	0.0414641	0.658953
34	220.86	221.378	221.562	-0.183883	-0.517784
35	221.49	221.511	221.474	0.0365336	-0.0207002
36	221.67	221.484	221.359	0.125492	0.185758
37	221.67	221.396	221.2	0.196881	0.273536
38	221.72	221.213	221.025	0.187714	0.507286
39	221.67	221.251	220.828	0.423131	0.418953
40	220.29	220.69	220.756	-0.066522	-0.399728
41	220.75	220.719	220.762	-0.0429109	0.0308275
42	219.59	220.302	220.71	-0.407633	-0.712367
43	219.59	220.437	220.655	-0.217772	-0.847228
44	219.59	220.45	220.543	-0.0924942	-0.860422
45	219.82	220.472	220.43	0.0414641	-0.651881
46	221.59	220.199	220.383	-0.183883	1.39097
47	220.9	220.287	220.25	0.0365336	0.61305
48	221.01	220.195	220.07	0.125492	0.814508
49	221.01	220.132	219.935	0.196881	0.878119
50	219.69	219.969	219.782	0.187714	-0.279381
51	221	220.001	219.578	0.423131	0.998536
52	219.82	219.211	219.277	-0.066522	0.609439
53	218.04	218.916	218.959	-0.0429109	-0.876256
54	217.97	218.28	218.687	-0.407633	-0.309867
55	217.97	218.195	218.412	-0.217772	-0.224728
56	217.53	218.133	218.225	-0.0924942	-0.602922
57	217	218.126	218.084	0.0414641	-1.12563
58	217.18	217.772	217.956	-0.183883	-0.59195
59	217.68	218.037	218.001	0.0365336	-0.357367
60	217.71	218.288	218.162	0.125492	-0.577992
61	217.71	218.519	218.322	0.196881	-0.809381
62	218.5	218.696	218.509	0.187714	-0.196464
63	218.8	219.17	218.747	0.423131	-0.369797
64	218.94	218.971	219.038	-0.066522	-0.030978
65	220	219.34	219.383	-0.0429109	0.659578
66	219.89	219.32	219.728	-0.407633	0.569716
67	219.89	219.826	220.044	-0.217772	0.064022
68	220.08	220.238	220.331	-0.0924942	-0.158339
69	220.16	220.629	220.587	0.0414641	-0.468547
70	221	220.704	220.888	-0.183883	0.295966
71	222.16	221.214	221.178	0.0365336	0.94555
72	221.5	221.526	221.401	0.125492	-0.0263252
73	221.5	221.811	221.614	0.196881	-0.311047
74	221.6	222.005	221.817	0.187714	-0.405214
75	221.85	222.462	222.039	0.423131	-0.611881
76	223.11	222.238	222.305	-0.066522	0.871522
77	222.79	222.49	222.533	-0.0429109	0.299578
78	222.45	222.313	222.721	-0.407633	0.1368
79	222.45	NA	NA	-0.217772	NA
80	222.4	NA	NA	-0.0924942	NA
81	223.15	NA	NA	0.0414641	NA
82	224.4	NA	NA	-0.183883	NA
83	224.24	NA	NA	0.0365336	NA
84	223.92	NA	NA	0.125492	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