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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Mon, 16 May 2011 09:05:46 +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/2011/May/16/t1305536591fy1r0rf2xx508ze.htm/, Retrieved Mon, 13 May 2024 17:48:17 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=121567, Retrieved Mon, 13 May 2024 17:48:17 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

KDGP2W92

Estimated Impact

122

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Classical Decomposition] [opgave 9 Guy Hend...] [2011-05-16 09:05:46] [f94d9a6f82d80010722d76d48bd1e82c] [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	'Gwilym Jenkins' @ www.wessa.org

\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 & 'Gwilym Jenkins' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=121567&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]'Gwilym Jenkins' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=121567&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=121567&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	'Gwilym Jenkins' @ www.wessa.org

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	12.94	NA	NA	-0.0288657407407412	NA
2	12.79	NA	NA	0.00800925925925965	NA
3	12.82	NA	NA	0.0128009259259255	NA
4	12.85	NA	NA	0.00835648148148155	NA
5	12.85	NA	NA	0.034745370370371	NA
6	12.72	NA	NA	0.00203703703703664	NA
7	12.62	12.6666898148148	12.7079166666667	-0.0412268518518523	-0.0466898148148136
8	12.67	12.6359259259259	12.6816666666667	-0.0457407407407403	0.0340740740740753
9	12.6	12.675162037037	12.6608333333333	0.0143287037037043	-0.0751620370370372
10	12.54	12.595787037037	12.63375	-0.0379629629629631	-0.0557870370370352
11	12.64	12.630787037037	12.6079166666667	0.0228703703703706	0.00921296296296426
12	12.67	12.6385648148148	12.5879166666667	0.0506481481481477	0.03143518518519
13	12.51	12.5440509259259	12.5729166666667	-0.0288657407407412	-0.034050925925925
14	12.59	12.5650925925926	12.5570833333333	0.00800925925925965	0.0249074074074098
15	12.52	12.5565509259259	12.54375	0.0128009259259255	-0.0365509259259227
16	12.5	12.5371064814815	12.52875	0.00835648148148155	-0.0371064814814801
17	12.58	12.5468287037037	12.5120833333333	0.034745370370371	0.0331712962962953
18	12.51	12.4978703703704	12.4958333333333	0.00203703703703664	0.0121296296296318
19	12.47	12.4371064814815	12.4783333333333	-0.0412268518518523	0.0328935185185202
20	12.44	12.4175925925926	12.4633333333333	-0.0457407407407403	0.022407407407405
21	12.51	12.4605787037037	12.44625	0.0143287037037043	0.0494212962962965
22	12.27	12.3916203703704	12.4295833333333	-0.0379629629629631	-0.121620370370373
23	12.51	12.4291203703704	12.40625	0.0228703703703706	0.0808796296296297
24	12.41	12.4243981481481	12.37375	0.0506481481481477	-0.0143981481481479
25	12.35	12.3086342592593	12.3375	-0.0288657407407412	0.0413657407407406
26	12.39	12.3017592592593	12.29375	0.00800925925925965	0.0882407407407406
27	12.31	12.2657175925926	12.2529166666667	0.0128009259259255	0.04428240740741
28	12.31	12.2321064814815	12.22375	0.00835648148148155	0.0778935185185201
29	12.21	12.223912037037	12.1891666666667	0.034745370370371	-0.0139120370370378
30	12.1	12.149537037037	12.1475	0.00203703703703664	-0.0495370370370374
31	12.01	12.0679398148148	12.1091666666667	-0.0412268518518523	-0.0579398148148123
32	11.85	12.0217592592593	12.0675	-0.0457407407407403	-0.171759259259259
33	12.12	12.0422453703704	12.0279166666667	0.0143287037037043	0.077754629629629
34	11.96	11.9549537037037	11.9929166666667	-0.0379629629629631	0.00504629629629783
35	11.99	11.985787037037	11.9629166666667	0.0228703703703706	0.00421296296296525
36	11.93	11.9927314814815	11.9420833333333	0.0506481481481477	-0.0627314814814799
37	11.91	11.8973842592593	11.92625	-0.0288657407407412	0.0126157407407419
38	11.83	11.9309259259259	11.9229166666667	0.00800925925925965	-0.100925925925925
39	11.92	11.9261342592593	11.9133333333333	0.0128009259259255	-0.00613425925925881
40	11.86	11.9046064814815	11.89625	0.00835648148148155	-0.0446064814814822
41	11.94	11.9172453703704	11.8825	0.034745370370371	0.0227546296296275
42	11.87	11.870787037037	11.86875	0.00203703703703664	-0.000787037037035532
43	11.86	11.8104398148148	11.8516666666667	-0.0412268518518523	0.0495601851851859
44	11.92	11.7821759259259	11.8279166666667	-0.0457407407407403	0.137824074074075
45	11.82	11.811412037037	11.7970833333333	0.0143287037037043	0.00858796296296482
46	11.85	11.7203703703704	11.7583333333333	-0.0379629629629631	0.129629629629632
47	11.77	11.7387037037037	11.7158333333333	0.0228703703703706	0.031296296296297
48	11.82	11.7206481481481	11.67	0.0506481481481477	0.0993518518518535
49	11.61	11.5907175925926	11.6195833333333	-0.0288657407407412	0.0192824074074061
50	11.56	11.5675925925926	11.5595833333333	0.00800925925925965	-0.00759259259259082
51	11.45	11.5053009259259	11.4925	0.0128009259259255	-0.0553009259259252
52	11.4	11.4271064814815	11.41875	0.00835648148148155	-0.0271064814814803
53	11.38	11.3822453703704	11.3475	0.034745370370371	-0.00224537037036932
54	11.33	11.2828703703704	11.2808333333333	0.00203703703703664	0.0471296296296302
55	11.19	11.1758564814815	11.2170833333333	-0.0412268518518523	0.0141435185185195
56	11.15	11.1180092592593	11.16375	-0.0457407407407403	0.0319907407407385
57	10.98	11.1372453703704	11.1229166666667	0.0143287037037043	-0.15724537037037
58	10.92	11.0524537037037	11.0904166666667	-0.0379629629629631	-0.132453703703703
59	10.99	11.0816203703704	11.05875	0.0228703703703706	-0.0916203703703697
60	11	11.0793981481481	11.02875	0.0506481481481477	-0.0793981481481474
61	10.9	10.9728009259259	11.0016666666667	-0.0288657407407412	-0.0728009259259252
62	10.99	10.9850925925926	10.9770833333333	0.00800925925925965	0.00490740740740847
63	11.04	10.9757175925926	10.9629166666667	0.0128009259259255	0.0642824074074078
64	11.03	10.9683564814815	10.96	0.00835648148148155	0.0616435185185171
65	10.99	10.9880787037037	10.9533333333333	0.034745370370371	0.00192129629629711
66	11	10.944537037037	10.9425	0.00203703703703664	0.055462962962963
67	10.87	10.8937731481481	10.935	-0.0412268518518523	-0.02377314814815
68	10.88	10.8775925925926	10.9233333333333	-0.0457407407407403	0.00240740740740897
69	10.91	10.9180787037037	10.90375	0.0143287037037043	-0.00807870370370267
70	10.92	10.8416203703704	10.8795833333333	-0.0379629629629631	0.0783796296296302
71	10.83	10.8778703703704	10.855	0.0228703703703706	-0.0478703703703687
72	10.9	10.8785648148148	10.8279166666667	0.0506481481481477	0.0214351851851866
73	10.82	10.7728009259259	10.8016666666667	-0.0288657407407412	0.0471990740740758
74	10.79	10.7859259259259	10.7779166666667	0.00800925925925965	0.00407407407407412
75	10.77	10.7669675925926	10.7541666666667	0.0128009259259255	0.00303240740740662
76	10.72	10.7371064814815	10.72875	0.00835648148148155	-0.0171064814814805
77	10.71	10.7380787037037	10.7033333333333	0.034745370370371	-0.028078703703704
78	10.63	10.680787037037	10.67875	0.00203703703703664	-0.0507870370370362
79	10.61	10.6112731481481	10.6525	-0.0412268518518523	-0.00127314814814561
80	10.57	10.5792592592593	10.625	-0.0457407407407403	-0.00925925925925597
81	10.65	10.6068287037037	10.5925	0.0143287037037043	0.0431712962962969
82	10.57	10.5153703703704	10.5533333333333	-0.0379629629629631	0.0546296296296287
83	10.57	10.533287037037	10.5104166666667	0.0228703703703706	0.0367129629629623
84	10.57	10.5206481481481	10.47	0.0506481481481477	0.0493518518518528
85	10.52	NA	10.43125	NA	NA
86	10.43	NA	10.39	NA	NA
87	10.35	NA	10.34625	NA	NA
88	10.2	NA	10.3054166666667	NA	NA
89	10.2	NA	NA	NA	NA
90	10.17	NA	NA	NA	NA
91	10.14	NA	NA	NA	NA
92	10.05	NA	NA	NA	NA
93	10.12	NA	NA	NA	NA
94	10.12	NA	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 12.94 & NA & NA & -0.0288657407407412 & NA \tabularnewline
2 & 12.79 & NA & NA & 0.00800925925925965 & NA \tabularnewline
3 & 12.82 & NA & NA & 0.0128009259259255 & NA \tabularnewline
4 & 12.85 & NA & NA & 0.00835648148148155 & NA \tabularnewline
5 & 12.85 & NA & NA & 0.034745370370371 & NA \tabularnewline
6 & 12.72 & NA & NA & 0.00203703703703664 & NA \tabularnewline
7 & 12.62 & 12.6666898148148 & 12.7079166666667 & -0.0412268518518523 & -0.0466898148148136 \tabularnewline
8 & 12.67 & 12.6359259259259 & 12.6816666666667 & -0.0457407407407403 & 0.0340740740740753 \tabularnewline
9 & 12.6 & 12.675162037037 & 12.6608333333333 & 0.0143287037037043 & -0.0751620370370372 \tabularnewline
10 & 12.54 & 12.595787037037 & 12.63375 & -0.0379629629629631 & -0.0557870370370352 \tabularnewline
11 & 12.64 & 12.630787037037 & 12.6079166666667 & 0.0228703703703706 & 0.00921296296296426 \tabularnewline
12 & 12.67 & 12.6385648148148 & 12.5879166666667 & 0.0506481481481477 & 0.03143518518519 \tabularnewline
13 & 12.51 & 12.5440509259259 & 12.5729166666667 & -0.0288657407407412 & -0.034050925925925 \tabularnewline
14 & 12.59 & 12.5650925925926 & 12.5570833333333 & 0.00800925925925965 & 0.0249074074074098 \tabularnewline
15 & 12.52 & 12.5565509259259 & 12.54375 & 0.0128009259259255 & -0.0365509259259227 \tabularnewline
16 & 12.5 & 12.5371064814815 & 12.52875 & 0.00835648148148155 & -0.0371064814814801 \tabularnewline
17 & 12.58 & 12.5468287037037 & 12.5120833333333 & 0.034745370370371 & 0.0331712962962953 \tabularnewline
18 & 12.51 & 12.4978703703704 & 12.4958333333333 & 0.00203703703703664 & 0.0121296296296318 \tabularnewline
19 & 12.47 & 12.4371064814815 & 12.4783333333333 & -0.0412268518518523 & 0.0328935185185202 \tabularnewline
20 & 12.44 & 12.4175925925926 & 12.4633333333333 & -0.0457407407407403 & 0.022407407407405 \tabularnewline
21 & 12.51 & 12.4605787037037 & 12.44625 & 0.0143287037037043 & 0.0494212962962965 \tabularnewline
22 & 12.27 & 12.3916203703704 & 12.4295833333333 & -0.0379629629629631 & -0.121620370370373 \tabularnewline
23 & 12.51 & 12.4291203703704 & 12.40625 & 0.0228703703703706 & 0.0808796296296297 \tabularnewline
24 & 12.41 & 12.4243981481481 & 12.37375 & 0.0506481481481477 & -0.0143981481481479 \tabularnewline
25 & 12.35 & 12.3086342592593 & 12.3375 & -0.0288657407407412 & 0.0413657407407406 \tabularnewline
26 & 12.39 & 12.3017592592593 & 12.29375 & 0.00800925925925965 & 0.0882407407407406 \tabularnewline
27 & 12.31 & 12.2657175925926 & 12.2529166666667 & 0.0128009259259255 & 0.04428240740741 \tabularnewline
28 & 12.31 & 12.2321064814815 & 12.22375 & 0.00835648148148155 & 0.0778935185185201 \tabularnewline
29 & 12.21 & 12.223912037037 & 12.1891666666667 & 0.034745370370371 & -0.0139120370370378 \tabularnewline
30 & 12.1 & 12.149537037037 & 12.1475 & 0.00203703703703664 & -0.0495370370370374 \tabularnewline
31 & 12.01 & 12.0679398148148 & 12.1091666666667 & -0.0412268518518523 & -0.0579398148148123 \tabularnewline
32 & 11.85 & 12.0217592592593 & 12.0675 & -0.0457407407407403 & -0.171759259259259 \tabularnewline
33 & 12.12 & 12.0422453703704 & 12.0279166666667 & 0.0143287037037043 & 0.077754629629629 \tabularnewline
34 & 11.96 & 11.9549537037037 & 11.9929166666667 & -0.0379629629629631 & 0.00504629629629783 \tabularnewline
35 & 11.99 & 11.985787037037 & 11.9629166666667 & 0.0228703703703706 & 0.00421296296296525 \tabularnewline
36 & 11.93 & 11.9927314814815 & 11.9420833333333 & 0.0506481481481477 & -0.0627314814814799 \tabularnewline
37 & 11.91 & 11.8973842592593 & 11.92625 & -0.0288657407407412 & 0.0126157407407419 \tabularnewline
38 & 11.83 & 11.9309259259259 & 11.9229166666667 & 0.00800925925925965 & -0.100925925925925 \tabularnewline
39 & 11.92 & 11.9261342592593 & 11.9133333333333 & 0.0128009259259255 & -0.00613425925925881 \tabularnewline
40 & 11.86 & 11.9046064814815 & 11.89625 & 0.00835648148148155 & -0.0446064814814822 \tabularnewline
41 & 11.94 & 11.9172453703704 & 11.8825 & 0.034745370370371 & 0.0227546296296275 \tabularnewline
42 & 11.87 & 11.870787037037 & 11.86875 & 0.00203703703703664 & -0.000787037037035532 \tabularnewline
43 & 11.86 & 11.8104398148148 & 11.8516666666667 & -0.0412268518518523 & 0.0495601851851859 \tabularnewline
44 & 11.92 & 11.7821759259259 & 11.8279166666667 & -0.0457407407407403 & 0.137824074074075 \tabularnewline
45 & 11.82 & 11.811412037037 & 11.7970833333333 & 0.0143287037037043 & 0.00858796296296482 \tabularnewline
46 & 11.85 & 11.7203703703704 & 11.7583333333333 & -0.0379629629629631 & 0.129629629629632 \tabularnewline
47 & 11.77 & 11.7387037037037 & 11.7158333333333 & 0.0228703703703706 & 0.031296296296297 \tabularnewline
48 & 11.82 & 11.7206481481481 & 11.67 & 0.0506481481481477 & 0.0993518518518535 \tabularnewline
49 & 11.61 & 11.5907175925926 & 11.6195833333333 & -0.0288657407407412 & 0.0192824074074061 \tabularnewline
50 & 11.56 & 11.5675925925926 & 11.5595833333333 & 0.00800925925925965 & -0.00759259259259082 \tabularnewline
51 & 11.45 & 11.5053009259259 & 11.4925 & 0.0128009259259255 & -0.0553009259259252 \tabularnewline
52 & 11.4 & 11.4271064814815 & 11.41875 & 0.00835648148148155 & -0.0271064814814803 \tabularnewline
53 & 11.38 & 11.3822453703704 & 11.3475 & 0.034745370370371 & -0.00224537037036932 \tabularnewline
54 & 11.33 & 11.2828703703704 & 11.2808333333333 & 0.00203703703703664 & 0.0471296296296302 \tabularnewline
55 & 11.19 & 11.1758564814815 & 11.2170833333333 & -0.0412268518518523 & 0.0141435185185195 \tabularnewline
56 & 11.15 & 11.1180092592593 & 11.16375 & -0.0457407407407403 & 0.0319907407407385 \tabularnewline
57 & 10.98 & 11.1372453703704 & 11.1229166666667 & 0.0143287037037043 & -0.15724537037037 \tabularnewline
58 & 10.92 & 11.0524537037037 & 11.0904166666667 & -0.0379629629629631 & -0.132453703703703 \tabularnewline
59 & 10.99 & 11.0816203703704 & 11.05875 & 0.0228703703703706 & -0.0916203703703697 \tabularnewline
60 & 11 & 11.0793981481481 & 11.02875 & 0.0506481481481477 & -0.0793981481481474 \tabularnewline
61 & 10.9 & 10.9728009259259 & 11.0016666666667 & -0.0288657407407412 & -0.0728009259259252 \tabularnewline
62 & 10.99 & 10.9850925925926 & 10.9770833333333 & 0.00800925925925965 & 0.00490740740740847 \tabularnewline
63 & 11.04 & 10.9757175925926 & 10.9629166666667 & 0.0128009259259255 & 0.0642824074074078 \tabularnewline
64 & 11.03 & 10.9683564814815 & 10.96 & 0.00835648148148155 & 0.0616435185185171 \tabularnewline
65 & 10.99 & 10.9880787037037 & 10.9533333333333 & 0.034745370370371 & 0.00192129629629711 \tabularnewline
66 & 11 & 10.944537037037 & 10.9425 & 0.00203703703703664 & 0.055462962962963 \tabularnewline
67 & 10.87 & 10.8937731481481 & 10.935 & -0.0412268518518523 & -0.02377314814815 \tabularnewline
68 & 10.88 & 10.8775925925926 & 10.9233333333333 & -0.0457407407407403 & 0.00240740740740897 \tabularnewline
69 & 10.91 & 10.9180787037037 & 10.90375 & 0.0143287037037043 & -0.00807870370370267 \tabularnewline
70 & 10.92 & 10.8416203703704 & 10.8795833333333 & -0.0379629629629631 & 0.0783796296296302 \tabularnewline
71 & 10.83 & 10.8778703703704 & 10.855 & 0.0228703703703706 & -0.0478703703703687 \tabularnewline
72 & 10.9 & 10.8785648148148 & 10.8279166666667 & 0.0506481481481477 & 0.0214351851851866 \tabularnewline
73 & 10.82 & 10.7728009259259 & 10.8016666666667 & -0.0288657407407412 & 0.0471990740740758 \tabularnewline
74 & 10.79 & 10.7859259259259 & 10.7779166666667 & 0.00800925925925965 & 0.00407407407407412 \tabularnewline
75 & 10.77 & 10.7669675925926 & 10.7541666666667 & 0.0128009259259255 & 0.00303240740740662 \tabularnewline
76 & 10.72 & 10.7371064814815 & 10.72875 & 0.00835648148148155 & -0.0171064814814805 \tabularnewline
77 & 10.71 & 10.7380787037037 & 10.7033333333333 & 0.034745370370371 & -0.028078703703704 \tabularnewline
78 & 10.63 & 10.680787037037 & 10.67875 & 0.00203703703703664 & -0.0507870370370362 \tabularnewline
79 & 10.61 & 10.6112731481481 & 10.6525 & -0.0412268518518523 & -0.00127314814814561 \tabularnewline
80 & 10.57 & 10.5792592592593 & 10.625 & -0.0457407407407403 & -0.00925925925925597 \tabularnewline
81 & 10.65 & 10.6068287037037 & 10.5925 & 0.0143287037037043 & 0.0431712962962969 \tabularnewline
82 & 10.57 & 10.5153703703704 & 10.5533333333333 & -0.0379629629629631 & 0.0546296296296287 \tabularnewline
83 & 10.57 & 10.533287037037 & 10.5104166666667 & 0.0228703703703706 & 0.0367129629629623 \tabularnewline
84 & 10.57 & 10.5206481481481 & 10.47 & 0.0506481481481477 & 0.0493518518518528 \tabularnewline
85 & 10.52 & NA & 10.43125 & NA & NA \tabularnewline
86 & 10.43 & NA & 10.39 & NA & NA \tabularnewline
87 & 10.35 & NA & 10.34625 & NA & NA \tabularnewline
88 & 10.2 & NA & 10.3054166666667 & NA & NA \tabularnewline
89 & 10.2 & NA & NA & NA & NA \tabularnewline
90 & 10.17 & NA & NA & NA & NA \tabularnewline
91 & 10.14 & NA & NA & NA & NA \tabularnewline
92 & 10.05 & NA & NA & NA & NA \tabularnewline
93 & 10.12 & NA & NA & NA & NA \tabularnewline
94 & 10.12 & NA & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=121567&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]12.94[/C][C]NA[/C][C]NA[/C][C]-0.0288657407407412[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]12.79[/C][C]NA[/C][C]NA[/C][C]0.00800925925925965[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]12.82[/C][C]NA[/C][C]NA[/C][C]0.0128009259259255[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]12.85[/C][C]NA[/C][C]NA[/C][C]0.00835648148148155[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]12.85[/C][C]NA[/C][C]NA[/C][C]0.034745370370371[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]12.72[/C][C]NA[/C][C]NA[/C][C]0.00203703703703664[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]12.62[/C][C]12.6666898148148[/C][C]12.7079166666667[/C][C]-0.0412268518518523[/C][C]-0.0466898148148136[/C][/ROW]
[ROW][C]8[/C][C]12.67[/C][C]12.6359259259259[/C][C]12.6816666666667[/C][C]-0.0457407407407403[/C][C]0.0340740740740753[/C][/ROW]
[ROW][C]9[/C][C]12.6[/C][C]12.675162037037[/C][C]12.6608333333333[/C][C]0.0143287037037043[/C][C]-0.0751620370370372[/C][/ROW]
[ROW][C]10[/C][C]12.54[/C][C]12.595787037037[/C][C]12.63375[/C][C]-0.0379629629629631[/C][C]-0.0557870370370352[/C][/ROW]
[ROW][C]11[/C][C]12.64[/C][C]12.630787037037[/C][C]12.6079166666667[/C][C]0.0228703703703706[/C][C]0.00921296296296426[/C][/ROW]
[ROW][C]12[/C][C]12.67[/C][C]12.6385648148148[/C][C]12.5879166666667[/C][C]0.0506481481481477[/C][C]0.03143518518519[/C][/ROW]
[ROW][C]13[/C][C]12.51[/C][C]12.5440509259259[/C][C]12.5729166666667[/C][C]-0.0288657407407412[/C][C]-0.034050925925925[/C][/ROW]
[ROW][C]14[/C][C]12.59[/C][C]12.5650925925926[/C][C]12.5570833333333[/C][C]0.00800925925925965[/C][C]0.0249074074074098[/C][/ROW]
[ROW][C]15[/C][C]12.52[/C][C]12.5565509259259[/C][C]12.54375[/C][C]0.0128009259259255[/C][C]-0.0365509259259227[/C][/ROW]
[ROW][C]16[/C][C]12.5[/C][C]12.5371064814815[/C][C]12.52875[/C][C]0.00835648148148155[/C][C]-0.0371064814814801[/C][/ROW]
[ROW][C]17[/C][C]12.58[/C][C]12.5468287037037[/C][C]12.5120833333333[/C][C]0.034745370370371[/C][C]0.0331712962962953[/C][/ROW]
[ROW][C]18[/C][C]12.51[/C][C]12.4978703703704[/C][C]12.4958333333333[/C][C]0.00203703703703664[/C][C]0.0121296296296318[/C][/ROW]
[ROW][C]19[/C][C]12.47[/C][C]12.4371064814815[/C][C]12.4783333333333[/C][C]-0.0412268518518523[/C][C]0.0328935185185202[/C][/ROW]
[ROW][C]20[/C][C]12.44[/C][C]12.4175925925926[/C][C]12.4633333333333[/C][C]-0.0457407407407403[/C][C]0.022407407407405[/C][/ROW]
[ROW][C]21[/C][C]12.51[/C][C]12.4605787037037[/C][C]12.44625[/C][C]0.0143287037037043[/C][C]0.0494212962962965[/C][/ROW]
[ROW][C]22[/C][C]12.27[/C][C]12.3916203703704[/C][C]12.4295833333333[/C][C]-0.0379629629629631[/C][C]-0.121620370370373[/C][/ROW]
[ROW][C]23[/C][C]12.51[/C][C]12.4291203703704[/C][C]12.40625[/C][C]0.0228703703703706[/C][C]0.0808796296296297[/C][/ROW]
[ROW][C]24[/C][C]12.41[/C][C]12.4243981481481[/C][C]12.37375[/C][C]0.0506481481481477[/C][C]-0.0143981481481479[/C][/ROW]
[ROW][C]25[/C][C]12.35[/C][C]12.3086342592593[/C][C]12.3375[/C][C]-0.0288657407407412[/C][C]0.0413657407407406[/C][/ROW]
[ROW][C]26[/C][C]12.39[/C][C]12.3017592592593[/C][C]12.29375[/C][C]0.00800925925925965[/C][C]0.0882407407407406[/C][/ROW]
[ROW][C]27[/C][C]12.31[/C][C]12.2657175925926[/C][C]12.2529166666667[/C][C]0.0128009259259255[/C][C]0.04428240740741[/C][/ROW]
[ROW][C]28[/C][C]12.31[/C][C]12.2321064814815[/C][C]12.22375[/C][C]0.00835648148148155[/C][C]0.0778935185185201[/C][/ROW]
[ROW][C]29[/C][C]12.21[/C][C]12.223912037037[/C][C]12.1891666666667[/C][C]0.034745370370371[/C][C]-0.0139120370370378[/C][/ROW]
[ROW][C]30[/C][C]12.1[/C][C]12.149537037037[/C][C]12.1475[/C][C]0.00203703703703664[/C][C]-0.0495370370370374[/C][/ROW]
[ROW][C]31[/C][C]12.01[/C][C]12.0679398148148[/C][C]12.1091666666667[/C][C]-0.0412268518518523[/C][C]-0.0579398148148123[/C][/ROW]
[ROW][C]32[/C][C]11.85[/C][C]12.0217592592593[/C][C]12.0675[/C][C]-0.0457407407407403[/C][C]-0.171759259259259[/C][/ROW]
[ROW][C]33[/C][C]12.12[/C][C]12.0422453703704[/C][C]12.0279166666667[/C][C]0.0143287037037043[/C][C]0.077754629629629[/C][/ROW]
[ROW][C]34[/C][C]11.96[/C][C]11.9549537037037[/C][C]11.9929166666667[/C][C]-0.0379629629629631[/C][C]0.00504629629629783[/C][/ROW]
[ROW][C]35[/C][C]11.99[/C][C]11.985787037037[/C][C]11.9629166666667[/C][C]0.0228703703703706[/C][C]0.00421296296296525[/C][/ROW]
[ROW][C]36[/C][C]11.93[/C][C]11.9927314814815[/C][C]11.9420833333333[/C][C]0.0506481481481477[/C][C]-0.0627314814814799[/C][/ROW]
[ROW][C]37[/C][C]11.91[/C][C]11.8973842592593[/C][C]11.92625[/C][C]-0.0288657407407412[/C][C]0.0126157407407419[/C][/ROW]
[ROW][C]38[/C][C]11.83[/C][C]11.9309259259259[/C][C]11.9229166666667[/C][C]0.00800925925925965[/C][C]-0.100925925925925[/C][/ROW]
[ROW][C]39[/C][C]11.92[/C][C]11.9261342592593[/C][C]11.9133333333333[/C][C]0.0128009259259255[/C][C]-0.00613425925925881[/C][/ROW]
[ROW][C]40[/C][C]11.86[/C][C]11.9046064814815[/C][C]11.89625[/C][C]0.00835648148148155[/C][C]-0.0446064814814822[/C][/ROW]
[ROW][C]41[/C][C]11.94[/C][C]11.9172453703704[/C][C]11.8825[/C][C]0.034745370370371[/C][C]0.0227546296296275[/C][/ROW]
[ROW][C]42[/C][C]11.87[/C][C]11.870787037037[/C][C]11.86875[/C][C]0.00203703703703664[/C][C]-0.000787037037035532[/C][/ROW]
[ROW][C]43[/C][C]11.86[/C][C]11.8104398148148[/C][C]11.8516666666667[/C][C]-0.0412268518518523[/C][C]0.0495601851851859[/C][/ROW]
[ROW][C]44[/C][C]11.92[/C][C]11.7821759259259[/C][C]11.8279166666667[/C][C]-0.0457407407407403[/C][C]0.137824074074075[/C][/ROW]
[ROW][C]45[/C][C]11.82[/C][C]11.811412037037[/C][C]11.7970833333333[/C][C]0.0143287037037043[/C][C]0.00858796296296482[/C][/ROW]
[ROW][C]46[/C][C]11.85[/C][C]11.7203703703704[/C][C]11.7583333333333[/C][C]-0.0379629629629631[/C][C]0.129629629629632[/C][/ROW]
[ROW][C]47[/C][C]11.77[/C][C]11.7387037037037[/C][C]11.7158333333333[/C][C]0.0228703703703706[/C][C]0.031296296296297[/C][/ROW]
[ROW][C]48[/C][C]11.82[/C][C]11.7206481481481[/C][C]11.67[/C][C]0.0506481481481477[/C][C]0.0993518518518535[/C][/ROW]
[ROW][C]49[/C][C]11.61[/C][C]11.5907175925926[/C][C]11.6195833333333[/C][C]-0.0288657407407412[/C][C]0.0192824074074061[/C][/ROW]
[ROW][C]50[/C][C]11.56[/C][C]11.5675925925926[/C][C]11.5595833333333[/C][C]0.00800925925925965[/C][C]-0.00759259259259082[/C][/ROW]
[ROW][C]51[/C][C]11.45[/C][C]11.5053009259259[/C][C]11.4925[/C][C]0.0128009259259255[/C][C]-0.0553009259259252[/C][/ROW]
[ROW][C]52[/C][C]11.4[/C][C]11.4271064814815[/C][C]11.41875[/C][C]0.00835648148148155[/C][C]-0.0271064814814803[/C][/ROW]
[ROW][C]53[/C][C]11.38[/C][C]11.3822453703704[/C][C]11.3475[/C][C]0.034745370370371[/C][C]-0.00224537037036932[/C][/ROW]
[ROW][C]54[/C][C]11.33[/C][C]11.2828703703704[/C][C]11.2808333333333[/C][C]0.00203703703703664[/C][C]0.0471296296296302[/C][/ROW]
[ROW][C]55[/C][C]11.19[/C][C]11.1758564814815[/C][C]11.2170833333333[/C][C]-0.0412268518518523[/C][C]0.0141435185185195[/C][/ROW]
[ROW][C]56[/C][C]11.15[/C][C]11.1180092592593[/C][C]11.16375[/C][C]-0.0457407407407403[/C][C]0.0319907407407385[/C][/ROW]
[ROW][C]57[/C][C]10.98[/C][C]11.1372453703704[/C][C]11.1229166666667[/C][C]0.0143287037037043[/C][C]-0.15724537037037[/C][/ROW]
[ROW][C]58[/C][C]10.92[/C][C]11.0524537037037[/C][C]11.0904166666667[/C][C]-0.0379629629629631[/C][C]-0.132453703703703[/C][/ROW]
[ROW][C]59[/C][C]10.99[/C][C]11.0816203703704[/C][C]11.05875[/C][C]0.0228703703703706[/C][C]-0.0916203703703697[/C][/ROW]
[ROW][C]60[/C][C]11[/C][C]11.0793981481481[/C][C]11.02875[/C][C]0.0506481481481477[/C][C]-0.0793981481481474[/C][/ROW]
[ROW][C]61[/C][C]10.9[/C][C]10.9728009259259[/C][C]11.0016666666667[/C][C]-0.0288657407407412[/C][C]-0.0728009259259252[/C][/ROW]
[ROW][C]62[/C][C]10.99[/C][C]10.9850925925926[/C][C]10.9770833333333[/C][C]0.00800925925925965[/C][C]0.00490740740740847[/C][/ROW]
[ROW][C]63[/C][C]11.04[/C][C]10.9757175925926[/C][C]10.9629166666667[/C][C]0.0128009259259255[/C][C]0.0642824074074078[/C][/ROW]
[ROW][C]64[/C][C]11.03[/C][C]10.9683564814815[/C][C]10.96[/C][C]0.00835648148148155[/C][C]0.0616435185185171[/C][/ROW]
[ROW][C]65[/C][C]10.99[/C][C]10.9880787037037[/C][C]10.9533333333333[/C][C]0.034745370370371[/C][C]0.00192129629629711[/C][/ROW]
[ROW][C]66[/C][C]11[/C][C]10.944537037037[/C][C]10.9425[/C][C]0.00203703703703664[/C][C]0.055462962962963[/C][/ROW]
[ROW][C]67[/C][C]10.87[/C][C]10.8937731481481[/C][C]10.935[/C][C]-0.0412268518518523[/C][C]-0.02377314814815[/C][/ROW]
[ROW][C]68[/C][C]10.88[/C][C]10.8775925925926[/C][C]10.9233333333333[/C][C]-0.0457407407407403[/C][C]0.00240740740740897[/C][/ROW]
[ROW][C]69[/C][C]10.91[/C][C]10.9180787037037[/C][C]10.90375[/C][C]0.0143287037037043[/C][C]-0.00807870370370267[/C][/ROW]
[ROW][C]70[/C][C]10.92[/C][C]10.8416203703704[/C][C]10.8795833333333[/C][C]-0.0379629629629631[/C][C]0.0783796296296302[/C][/ROW]
[ROW][C]71[/C][C]10.83[/C][C]10.8778703703704[/C][C]10.855[/C][C]0.0228703703703706[/C][C]-0.0478703703703687[/C][/ROW]
[ROW][C]72[/C][C]10.9[/C][C]10.8785648148148[/C][C]10.8279166666667[/C][C]0.0506481481481477[/C][C]0.0214351851851866[/C][/ROW]
[ROW][C]73[/C][C]10.82[/C][C]10.7728009259259[/C][C]10.8016666666667[/C][C]-0.0288657407407412[/C][C]0.0471990740740758[/C][/ROW]
[ROW][C]74[/C][C]10.79[/C][C]10.7859259259259[/C][C]10.7779166666667[/C][C]0.00800925925925965[/C][C]0.00407407407407412[/C][/ROW]
[ROW][C]75[/C][C]10.77[/C][C]10.7669675925926[/C][C]10.7541666666667[/C][C]0.0128009259259255[/C][C]0.00303240740740662[/C][/ROW]
[ROW][C]76[/C][C]10.72[/C][C]10.7371064814815[/C][C]10.72875[/C][C]0.00835648148148155[/C][C]-0.0171064814814805[/C][/ROW]
[ROW][C]77[/C][C]10.71[/C][C]10.7380787037037[/C][C]10.7033333333333[/C][C]0.034745370370371[/C][C]-0.028078703703704[/C][/ROW]
[ROW][C]78[/C][C]10.63[/C][C]10.680787037037[/C][C]10.67875[/C][C]0.00203703703703664[/C][C]-0.0507870370370362[/C][/ROW]
[ROW][C]79[/C][C]10.61[/C][C]10.6112731481481[/C][C]10.6525[/C][C]-0.0412268518518523[/C][C]-0.00127314814814561[/C][/ROW]
[ROW][C]80[/C][C]10.57[/C][C]10.5792592592593[/C][C]10.625[/C][C]-0.0457407407407403[/C][C]-0.00925925925925597[/C][/ROW]
[ROW][C]81[/C][C]10.65[/C][C]10.6068287037037[/C][C]10.5925[/C][C]0.0143287037037043[/C][C]0.0431712962962969[/C][/ROW]
[ROW][C]82[/C][C]10.57[/C][C]10.5153703703704[/C][C]10.5533333333333[/C][C]-0.0379629629629631[/C][C]0.0546296296296287[/C][/ROW]
[ROW][C]83[/C][C]10.57[/C][C]10.533287037037[/C][C]10.5104166666667[/C][C]0.0228703703703706[/C][C]0.0367129629629623[/C][/ROW]
[ROW][C]84[/C][C]10.57[/C][C]10.5206481481481[/C][C]10.47[/C][C]0.0506481481481477[/C][C]0.0493518518518528[/C][/ROW]
[ROW][C]85[/C][C]10.52[/C][C]NA[/C][C]10.43125[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]86[/C][C]10.43[/C][C]NA[/C][C]10.39[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]87[/C][C]10.35[/C][C]NA[/C][C]10.34625[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]88[/C][C]10.2[/C][C]NA[/C][C]10.3054166666667[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]89[/C][C]10.2[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]90[/C][C]10.17[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]91[/C][C]10.14[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]92[/C][C]10.05[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]93[/C][C]10.12[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]94[/C][C]10.12[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=121567&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=121567&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	12.94	NA	NA	-0.0288657407407412	NA
2	12.79	NA	NA	0.00800925925925965	NA
3	12.82	NA	NA	0.0128009259259255	NA
4	12.85	NA	NA	0.00835648148148155	NA
5	12.85	NA	NA	0.034745370370371	NA
6	12.72	NA	NA	0.00203703703703664	NA
7	12.62	12.6666898148148	12.7079166666667	-0.0412268518518523	-0.0466898148148136
8	12.67	12.6359259259259	12.6816666666667	-0.0457407407407403	0.0340740740740753
9	12.6	12.675162037037	12.6608333333333	0.0143287037037043	-0.0751620370370372
10	12.54	12.595787037037	12.63375	-0.0379629629629631	-0.0557870370370352
11	12.64	12.630787037037	12.6079166666667	0.0228703703703706	0.00921296296296426
12	12.67	12.6385648148148	12.5879166666667	0.0506481481481477	0.03143518518519
13	12.51	12.5440509259259	12.5729166666667	-0.0288657407407412	-0.034050925925925
14	12.59	12.5650925925926	12.5570833333333	0.00800925925925965	0.0249074074074098
15	12.52	12.5565509259259	12.54375	0.0128009259259255	-0.0365509259259227
16	12.5	12.5371064814815	12.52875	0.00835648148148155	-0.0371064814814801
17	12.58	12.5468287037037	12.5120833333333	0.034745370370371	0.0331712962962953
18	12.51	12.4978703703704	12.4958333333333	0.00203703703703664	0.0121296296296318
19	12.47	12.4371064814815	12.4783333333333	-0.0412268518518523	0.0328935185185202
20	12.44	12.4175925925926	12.4633333333333	-0.0457407407407403	0.022407407407405
21	12.51	12.4605787037037	12.44625	0.0143287037037043	0.0494212962962965
22	12.27	12.3916203703704	12.4295833333333	-0.0379629629629631	-0.121620370370373
23	12.51	12.4291203703704	12.40625	0.0228703703703706	0.0808796296296297
24	12.41	12.4243981481481	12.37375	0.0506481481481477	-0.0143981481481479
25	12.35	12.3086342592593	12.3375	-0.0288657407407412	0.0413657407407406
26	12.39	12.3017592592593	12.29375	0.00800925925925965	0.0882407407407406
27	12.31	12.2657175925926	12.2529166666667	0.0128009259259255	0.04428240740741
28	12.31	12.2321064814815	12.22375	0.00835648148148155	0.0778935185185201
29	12.21	12.223912037037	12.1891666666667	0.034745370370371	-0.0139120370370378
30	12.1	12.149537037037	12.1475	0.00203703703703664	-0.0495370370370374
31	12.01	12.0679398148148	12.1091666666667	-0.0412268518518523	-0.0579398148148123
32	11.85	12.0217592592593	12.0675	-0.0457407407407403	-0.171759259259259
33	12.12	12.0422453703704	12.0279166666667	0.0143287037037043	0.077754629629629
34	11.96	11.9549537037037	11.9929166666667	-0.0379629629629631	0.00504629629629783
35	11.99	11.985787037037	11.9629166666667	0.0228703703703706	0.00421296296296525
36	11.93	11.9927314814815	11.9420833333333	0.0506481481481477	-0.0627314814814799
37	11.91	11.8973842592593	11.92625	-0.0288657407407412	0.0126157407407419
38	11.83	11.9309259259259	11.9229166666667	0.00800925925925965	-0.100925925925925
39	11.92	11.9261342592593	11.9133333333333	0.0128009259259255	-0.00613425925925881
40	11.86	11.9046064814815	11.89625	0.00835648148148155	-0.0446064814814822
41	11.94	11.9172453703704	11.8825	0.034745370370371	0.0227546296296275
42	11.87	11.870787037037	11.86875	0.00203703703703664	-0.000787037037035532
43	11.86	11.8104398148148	11.8516666666667	-0.0412268518518523	0.0495601851851859
44	11.92	11.7821759259259	11.8279166666667	-0.0457407407407403	0.137824074074075
45	11.82	11.811412037037	11.7970833333333	0.0143287037037043	0.00858796296296482
46	11.85	11.7203703703704	11.7583333333333	-0.0379629629629631	0.129629629629632
47	11.77	11.7387037037037	11.7158333333333	0.0228703703703706	0.031296296296297
48	11.82	11.7206481481481	11.67	0.0506481481481477	0.0993518518518535
49	11.61	11.5907175925926	11.6195833333333	-0.0288657407407412	0.0192824074074061
50	11.56	11.5675925925926	11.5595833333333	0.00800925925925965	-0.00759259259259082
51	11.45	11.5053009259259	11.4925	0.0128009259259255	-0.0553009259259252
52	11.4	11.4271064814815	11.41875	0.00835648148148155	-0.0271064814814803
53	11.38	11.3822453703704	11.3475	0.034745370370371	-0.00224537037036932
54	11.33	11.2828703703704	11.2808333333333	0.00203703703703664	0.0471296296296302
55	11.19	11.1758564814815	11.2170833333333	-0.0412268518518523	0.0141435185185195
56	11.15	11.1180092592593	11.16375	-0.0457407407407403	0.0319907407407385
57	10.98	11.1372453703704	11.1229166666667	0.0143287037037043	-0.15724537037037
58	10.92	11.0524537037037	11.0904166666667	-0.0379629629629631	-0.132453703703703
59	10.99	11.0816203703704	11.05875	0.0228703703703706	-0.0916203703703697
60	11	11.0793981481481	11.02875	0.0506481481481477	-0.0793981481481474
61	10.9	10.9728009259259	11.0016666666667	-0.0288657407407412	-0.0728009259259252
62	10.99	10.9850925925926	10.9770833333333	0.00800925925925965	0.00490740740740847
63	11.04	10.9757175925926	10.9629166666667	0.0128009259259255	0.0642824074074078
64	11.03	10.9683564814815	10.96	0.00835648148148155	0.0616435185185171
65	10.99	10.9880787037037	10.9533333333333	0.034745370370371	0.00192129629629711
66	11	10.944537037037	10.9425	0.00203703703703664	0.055462962962963
67	10.87	10.8937731481481	10.935	-0.0412268518518523	-0.02377314814815
68	10.88	10.8775925925926	10.9233333333333	-0.0457407407407403	0.00240740740740897
69	10.91	10.9180787037037	10.90375	0.0143287037037043	-0.00807870370370267
70	10.92	10.8416203703704	10.8795833333333	-0.0379629629629631	0.0783796296296302
71	10.83	10.8778703703704	10.855	0.0228703703703706	-0.0478703703703687
72	10.9	10.8785648148148	10.8279166666667	0.0506481481481477	0.0214351851851866
73	10.82	10.7728009259259	10.8016666666667	-0.0288657407407412	0.0471990740740758
74	10.79	10.7859259259259	10.7779166666667	0.00800925925925965	0.00407407407407412
75	10.77	10.7669675925926	10.7541666666667	0.0128009259259255	0.00303240740740662
76	10.72	10.7371064814815	10.72875	0.00835648148148155	-0.0171064814814805
77	10.71	10.7380787037037	10.7033333333333	0.034745370370371	-0.028078703703704
78	10.63	10.680787037037	10.67875	0.00203703703703664	-0.0507870370370362
79	10.61	10.6112731481481	10.6525	-0.0412268518518523	-0.00127314814814561
80	10.57	10.5792592592593	10.625	-0.0457407407407403	-0.00925925925925597
81	10.65	10.6068287037037	10.5925	0.0143287037037043	0.0431712962962969
82	10.57	10.5153703703704	10.5533333333333	-0.0379629629629631	0.0546296296296287
83	10.57	10.533287037037	10.5104166666667	0.0228703703703706	0.0367129629629623
84	10.57	10.5206481481481	10.47	0.0506481481481477	0.0493518518518528
85	10.52	NA	10.43125	NA	NA
86	10.43	NA	10.39	NA	NA
87	10.35	NA	10.34625	NA	NA
88	10.2	NA	10.3054166666667	NA	NA
89	10.2	NA	NA	NA	NA
90	10.17	NA	NA	NA	NA
91	10.14	NA	NA	NA	NA
92	10.05	NA	NA	NA	NA
93	10.12	NA	NA	NA	NA
94	10.12	NA	NA	NA	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$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i])
a<-table.element(a,m$trend[i])
a<-table.element(a,m$seasonal[i])
a<-table.element(a,m$random[i])
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