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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Fri, 25 Nov 2011 08:14:44 -0500

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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/Nov/25/t1322226920hmugcjhbhdvfydn.htm/, Retrieved Mon, 20 Apr 2026 23:37:44 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=147306, Retrieved Mon, 20 Apr 2026 23:37:44 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

569

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

F     [Univariate Data Series] [HPC Retail Sales] [2008-03-02 15:42:48] [74be16979710d4c4e7c6647856088456]
- RMPD    [Classical Decomposition] [Klassieke composi...] [2011-11-25 13:14:44] [858ef1d716a843f745df26a736207017] [Current]
- R P       [Classical Decomposition] [WS8] [2011-11-25 14:28:36] [91ce4971c808115c699d50336245df56] 
- RMP       [Decomposition by Loess] [WS8] [2011-11-25 14:33:18] [91ce4971c808115c699d50336245df56] 

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Dataseries X:

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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	'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147306&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147306&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147306&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	2 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	68897	NA	NA	27919.1157407407	NA
2	38683	NA	NA	652.324074074075	NA
3	44720	NA	NA	6937.9212962963	NA
4	39525	NA	NA	-883.696759259258	NA
5	45315	NA	NA	54.7754629629627	NA
6	50380	NA	NA	7412.90046296296	NA
7	40600	39050.4143518519	40736.25	-1685.83564814815	1549.58564814815
8	36279	36465.3449074074	40816.3333333333	-4350.98842592592	-186.344907407394
9	42438	41471.4282407407	40937.5833333333	533.844907407406	966.571759259263
10	38064	40157.087962963	41125.5833333333	-968.495370370372	-2093.08796296296
11	31879	34806.6226851852	40940.7916666667	-6134.16898148148	-2927.62268518519
12	11379	11131.4282407407	40619.125	-29487.6967592593	247.571759259263
13	70249	68425.9490740741	40506.8333333333	27919.1157407407	1823.05092592593
14	39253	40924.4490740741	40272.125	652.324074074075	-1671.44907407407
15	47060	46975.9212962963	40038	6937.9212962963	84.0787037037007
16	41697	39143.9282407407	40027.625	-883.696759259258	2553.07175925926
17	38708	40249.525462963	40194.75	54.7754629629627	-1541.52546296296
18	49267	47748.4421296296	40335.5416666667	7412.90046296296	1518.55787037036
19	39018	38707.0393518519	40392.875	-1685.83564814815	310.960648148146
20	32228	35854.9282407407	40205.9166666667	-4350.98842592592	-3626.92824074073
21	40870	40455.3032407407	39921.4583333333	533.844907407406	414.696759259255
22	39383	38847.1712962963	39815.6666666667	-968.495370370372	535.828703703708
23	34571	33573.8726851852	39708.0416666667	-6134.16898148148	997.12731481481
24	12066	9969.96990740741	39457.6666666667	-29487.6967592593	2096.03009259259
25	70938	67148.2824074074	39229.1666666667	27919.1157407407	3789.71759259259
26	34077	39854.2824074074	39201.9583333333	652.324074074075	-5777.28240740741
27	45409	46100.212962963	39162.2916666667	6937.9212962963	-691.212962962956
28	40809	38031.8865740741	38915.5833333333	-883.696759259258	2777.11342592593
29	37013	38719.7337962963	38664.9583333333	54.7754629629627	-1706.7337962963
30	44953	45869.150462963	38456.25	7412.90046296296	-916.150462962964
31	37848	36542.1643518518	38228	-1685.83564814815	1305.83564814815
32	32745	34020.6365740741	38371.625	-4350.98842592592	-1275.63657407407
33	39401	39352.9282407407	38819.0833333333	533.844907407406	48.0717592592628
34	34931	37887.3796296296	38855.875	-968.495370370372	-2956.37962962963
35	33008	32700.9143518519	38835.0833333333	-6134.16898148148	307.085648148146
36	8620	9653.76157407407	39141.4583333333	-29487.6967592593	-1033.76157407407
37	68906	67137.6157407407	39218.5	27919.1157407407	1768.38425925926
38	39556	39831.4074074074	39179.0833333333	652.324074074075	-275.407407407401
39	50669	46145.337962963	39207.4166666667	6937.9212962963	4523.66203703704
40	36432	38450.2199074074	39333.9166666667	-883.696759259258	-2018.21990740741
41	40891	39589.900462963	39535.125	54.7754629629627	1301.09953703704
42	48428	47190.9421296296	39778.0416666667	7412.90046296296	1237.05787037037
43	36222	38269.1643518519	39955	-1685.83564814815	-2047.16435185185
44	33425	35694.5532407407	40045.5416666667	-4350.98842592592	-2269.55324074074
45	39401	40688.3449074074	40154.5	533.844907407406	-1287.34490740742
46	37967	39300.5462962963	40269.0416666667	-968.495370370372	-1333.5462962963
47	34801	34249.5810185185	40383.75	-6134.16898148148	551.418981481489
48	12657	11075.2615740741	40562.9583333333	-29487.6967592593	1581.73842592592
49	69116	68724.7407407407	40805.625	27919.1157407407	391.259259259263
50	41519	41860.1157407407	41207.7916666667	652.324074074075	-341.115740740737
51	51321	48500.337962963	41562.4166666667	6937.9212962963	2820.66203703703
52	38529	40885.3449074074	41769.0416666667	-883.696759259258	-2356.34490740742
53	41547	42116.2337962963	42061.4583333333	54.7754629629627	-569.233796296292
54	52073	49441.4837962963	42028.5833333333	7412.90046296296	2631.51620370371
55	38401	40141.9976851852	41827.8333333333	-1685.83564814815	-1740.99768518518
56	40898	37813.4699074074	42164.4583333333	-4350.98842592592	3084.53009259259
57	40439	42902.9282407407	42369.0833333333	533.844907407406	-2463.92824074074
58	41888	41364.212962963	42332.7083333333	-968.495370370372	523.787037037036
59	37898	36503.2476851852	42637.4166666667	-6134.16898148148	1394.75231481481
60	8771	13156.0115740741	42643.7083333333	-29487.6967592593	-4385.01157407408
61	68184	70444.0740740741	42524.9583333333	27919.1157407407	-2260.07407407407
62	50530	43157.6157407407	42505.2916666667	652.324074074075	7372.38425925926
63	47221	49406.587962963	42468.6666666667	6937.9212962963	-2185.58796296296
64	41756	41602.4282407407	42486.125	-883.696759259258	153.571759259263
65	45633	42189.4421296296	42134.6666666667	54.7754629629627	3443.55787037037
66	48138	49135.3587962963	41722.4583333333	7412.90046296296	-997.358796296299
67	39486	39485.5810185185	41171.4166666667	-1685.83564814815	0.418981481474475
68	39341	35688.4282407407	40039.4166666667	-4350.98842592592	3652.57175925926
69	41117	39416.4282407407	38882.5833333333	533.844907407406	1700.57175925926
70	41629	36926.962962963	37895.4583333333	-968.495370370372	4702.03703703704
71	29722	30666.1226851852	36800.2916666667	-6134.16898148148	-944.122685185182
72	7054	6181.92824074073	35669.625	-29487.6967592593	872.071759259263
73	56676	62809.6990740741	34890.5833333333	27919.1157407407	-6133.69907407407
74	34870	34798.4907407407	34146.1666666667	652.324074074075	71.5092592592628
75	35117	40289.962962963	33352.0416666667	6937.9212962963	-5172.96296296296
76	30169	31899.5532407407	32783.25	-883.696759259258	-1730.55324074073
77	30936	32484.525462963	32429.75	54.7754629629627	-1548.52546296296
78	35699	39793.9837962963	32381.0833333333	7412.90046296296	-4094.9837962963
79	33228	NA	NA	-1685.83564814815	NA
80	27733	NA	NA	-4350.98842592592	NA
81	33666	NA	NA	533.844907407406	NA
82	35429	NA	NA	-968.495370370372	NA
83	27438	NA	NA	-6134.16898148148	NA
84	8170	NA	NA	-29487.6967592593	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 68897 & NA & NA & 27919.1157407407 & NA \tabularnewline
2 & 38683 & NA & NA & 652.324074074075 & NA \tabularnewline
3 & 44720 & NA & NA & 6937.9212962963 & NA \tabularnewline
4 & 39525 & NA & NA & -883.696759259258 & NA \tabularnewline
5 & 45315 & NA & NA & 54.7754629629627 & NA \tabularnewline
6 & 50380 & NA & NA & 7412.90046296296 & NA \tabularnewline
7 & 40600 & 39050.4143518519 & 40736.25 & -1685.83564814815 & 1549.58564814815 \tabularnewline
8 & 36279 & 36465.3449074074 & 40816.3333333333 & -4350.98842592592 & -186.344907407394 \tabularnewline
9 & 42438 & 41471.4282407407 & 40937.5833333333 & 533.844907407406 & 966.571759259263 \tabularnewline
10 & 38064 & 40157.087962963 & 41125.5833333333 & -968.495370370372 & -2093.08796296296 \tabularnewline
11 & 31879 & 34806.6226851852 & 40940.7916666667 & -6134.16898148148 & -2927.62268518519 \tabularnewline
12 & 11379 & 11131.4282407407 & 40619.125 & -29487.6967592593 & 247.571759259263 \tabularnewline
13 & 70249 & 68425.9490740741 & 40506.8333333333 & 27919.1157407407 & 1823.05092592593 \tabularnewline
14 & 39253 & 40924.4490740741 & 40272.125 & 652.324074074075 & -1671.44907407407 \tabularnewline
15 & 47060 & 46975.9212962963 & 40038 & 6937.9212962963 & 84.0787037037007 \tabularnewline
16 & 41697 & 39143.9282407407 & 40027.625 & -883.696759259258 & 2553.07175925926 \tabularnewline
17 & 38708 & 40249.525462963 & 40194.75 & 54.7754629629627 & -1541.52546296296 \tabularnewline
18 & 49267 & 47748.4421296296 & 40335.5416666667 & 7412.90046296296 & 1518.55787037036 \tabularnewline
19 & 39018 & 38707.0393518519 & 40392.875 & -1685.83564814815 & 310.960648148146 \tabularnewline
20 & 32228 & 35854.9282407407 & 40205.9166666667 & -4350.98842592592 & -3626.92824074073 \tabularnewline
21 & 40870 & 40455.3032407407 & 39921.4583333333 & 533.844907407406 & 414.696759259255 \tabularnewline
22 & 39383 & 38847.1712962963 & 39815.6666666667 & -968.495370370372 & 535.828703703708 \tabularnewline
23 & 34571 & 33573.8726851852 & 39708.0416666667 & -6134.16898148148 & 997.12731481481 \tabularnewline
24 & 12066 & 9969.96990740741 & 39457.6666666667 & -29487.6967592593 & 2096.03009259259 \tabularnewline
25 & 70938 & 67148.2824074074 & 39229.1666666667 & 27919.1157407407 & 3789.71759259259 \tabularnewline
26 & 34077 & 39854.2824074074 & 39201.9583333333 & 652.324074074075 & -5777.28240740741 \tabularnewline
27 & 45409 & 46100.212962963 & 39162.2916666667 & 6937.9212962963 & -691.212962962956 \tabularnewline
28 & 40809 & 38031.8865740741 & 38915.5833333333 & -883.696759259258 & 2777.11342592593 \tabularnewline
29 & 37013 & 38719.7337962963 & 38664.9583333333 & 54.7754629629627 & -1706.7337962963 \tabularnewline
30 & 44953 & 45869.150462963 & 38456.25 & 7412.90046296296 & -916.150462962964 \tabularnewline
31 & 37848 & 36542.1643518518 & 38228 & -1685.83564814815 & 1305.83564814815 \tabularnewline
32 & 32745 & 34020.6365740741 & 38371.625 & -4350.98842592592 & -1275.63657407407 \tabularnewline
33 & 39401 & 39352.9282407407 & 38819.0833333333 & 533.844907407406 & 48.0717592592628 \tabularnewline
34 & 34931 & 37887.3796296296 & 38855.875 & -968.495370370372 & -2956.37962962963 \tabularnewline
35 & 33008 & 32700.9143518519 & 38835.0833333333 & -6134.16898148148 & 307.085648148146 \tabularnewline
36 & 8620 & 9653.76157407407 & 39141.4583333333 & -29487.6967592593 & -1033.76157407407 \tabularnewline
37 & 68906 & 67137.6157407407 & 39218.5 & 27919.1157407407 & 1768.38425925926 \tabularnewline
38 & 39556 & 39831.4074074074 & 39179.0833333333 & 652.324074074075 & -275.407407407401 \tabularnewline
39 & 50669 & 46145.337962963 & 39207.4166666667 & 6937.9212962963 & 4523.66203703704 \tabularnewline
40 & 36432 & 38450.2199074074 & 39333.9166666667 & -883.696759259258 & -2018.21990740741 \tabularnewline
41 & 40891 & 39589.900462963 & 39535.125 & 54.7754629629627 & 1301.09953703704 \tabularnewline
42 & 48428 & 47190.9421296296 & 39778.0416666667 & 7412.90046296296 & 1237.05787037037 \tabularnewline
43 & 36222 & 38269.1643518519 & 39955 & -1685.83564814815 & -2047.16435185185 \tabularnewline
44 & 33425 & 35694.5532407407 & 40045.5416666667 & -4350.98842592592 & -2269.55324074074 \tabularnewline
45 & 39401 & 40688.3449074074 & 40154.5 & 533.844907407406 & -1287.34490740742 \tabularnewline
46 & 37967 & 39300.5462962963 & 40269.0416666667 & -968.495370370372 & -1333.5462962963 \tabularnewline
47 & 34801 & 34249.5810185185 & 40383.75 & -6134.16898148148 & 551.418981481489 \tabularnewline
48 & 12657 & 11075.2615740741 & 40562.9583333333 & -29487.6967592593 & 1581.73842592592 \tabularnewline
49 & 69116 & 68724.7407407407 & 40805.625 & 27919.1157407407 & 391.259259259263 \tabularnewline
50 & 41519 & 41860.1157407407 & 41207.7916666667 & 652.324074074075 & -341.115740740737 \tabularnewline
51 & 51321 & 48500.337962963 & 41562.4166666667 & 6937.9212962963 & 2820.66203703703 \tabularnewline
52 & 38529 & 40885.3449074074 & 41769.0416666667 & -883.696759259258 & -2356.34490740742 \tabularnewline
53 & 41547 & 42116.2337962963 & 42061.4583333333 & 54.7754629629627 & -569.233796296292 \tabularnewline
54 & 52073 & 49441.4837962963 & 42028.5833333333 & 7412.90046296296 & 2631.51620370371 \tabularnewline
55 & 38401 & 40141.9976851852 & 41827.8333333333 & -1685.83564814815 & -1740.99768518518 \tabularnewline
56 & 40898 & 37813.4699074074 & 42164.4583333333 & -4350.98842592592 & 3084.53009259259 \tabularnewline
57 & 40439 & 42902.9282407407 & 42369.0833333333 & 533.844907407406 & -2463.92824074074 \tabularnewline
58 & 41888 & 41364.212962963 & 42332.7083333333 & -968.495370370372 & 523.787037037036 \tabularnewline
59 & 37898 & 36503.2476851852 & 42637.4166666667 & -6134.16898148148 & 1394.75231481481 \tabularnewline
60 & 8771 & 13156.0115740741 & 42643.7083333333 & -29487.6967592593 & -4385.01157407408 \tabularnewline
61 & 68184 & 70444.0740740741 & 42524.9583333333 & 27919.1157407407 & -2260.07407407407 \tabularnewline
62 & 50530 & 43157.6157407407 & 42505.2916666667 & 652.324074074075 & 7372.38425925926 \tabularnewline
63 & 47221 & 49406.587962963 & 42468.6666666667 & 6937.9212962963 & -2185.58796296296 \tabularnewline
64 & 41756 & 41602.4282407407 & 42486.125 & -883.696759259258 & 153.571759259263 \tabularnewline
65 & 45633 & 42189.4421296296 & 42134.6666666667 & 54.7754629629627 & 3443.55787037037 \tabularnewline
66 & 48138 & 49135.3587962963 & 41722.4583333333 & 7412.90046296296 & -997.358796296299 \tabularnewline
67 & 39486 & 39485.5810185185 & 41171.4166666667 & -1685.83564814815 & 0.418981481474475 \tabularnewline
68 & 39341 & 35688.4282407407 & 40039.4166666667 & -4350.98842592592 & 3652.57175925926 \tabularnewline
69 & 41117 & 39416.4282407407 & 38882.5833333333 & 533.844907407406 & 1700.57175925926 \tabularnewline
70 & 41629 & 36926.962962963 & 37895.4583333333 & -968.495370370372 & 4702.03703703704 \tabularnewline
71 & 29722 & 30666.1226851852 & 36800.2916666667 & -6134.16898148148 & -944.122685185182 \tabularnewline
72 & 7054 & 6181.92824074073 & 35669.625 & -29487.6967592593 & 872.071759259263 \tabularnewline
73 & 56676 & 62809.6990740741 & 34890.5833333333 & 27919.1157407407 & -6133.69907407407 \tabularnewline
74 & 34870 & 34798.4907407407 & 34146.1666666667 & 652.324074074075 & 71.5092592592628 \tabularnewline
75 & 35117 & 40289.962962963 & 33352.0416666667 & 6937.9212962963 & -5172.96296296296 \tabularnewline
76 & 30169 & 31899.5532407407 & 32783.25 & -883.696759259258 & -1730.55324074073 \tabularnewline
77 & 30936 & 32484.525462963 & 32429.75 & 54.7754629629627 & -1548.52546296296 \tabularnewline
78 & 35699 & 39793.9837962963 & 32381.0833333333 & 7412.90046296296 & -4094.9837962963 \tabularnewline
79 & 33228 & NA & NA & -1685.83564814815 & NA \tabularnewline
80 & 27733 & NA & NA & -4350.98842592592 & NA \tabularnewline
81 & 33666 & NA & NA & 533.844907407406 & NA \tabularnewline
82 & 35429 & NA & NA & -968.495370370372 & NA \tabularnewline
83 & 27438 & NA & NA & -6134.16898148148 & NA \tabularnewline
84 & 8170 & NA & NA & -29487.6967592593 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147306&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]68897[/C][C]NA[/C][C]NA[/C][C]27919.1157407407[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]38683[/C][C]NA[/C][C]NA[/C][C]652.324074074075[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]44720[/C][C]NA[/C][C]NA[/C][C]6937.9212962963[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]39525[/C][C]NA[/C][C]NA[/C][C]-883.696759259258[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]45315[/C][C]NA[/C][C]NA[/C][C]54.7754629629627[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]50380[/C][C]NA[/C][C]NA[/C][C]7412.90046296296[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]40600[/C][C]39050.4143518519[/C][C]40736.25[/C][C]-1685.83564814815[/C][C]1549.58564814815[/C][/ROW]
[ROW][C]8[/C][C]36279[/C][C]36465.3449074074[/C][C]40816.3333333333[/C][C]-4350.98842592592[/C][C]-186.344907407394[/C][/ROW]
[ROW][C]9[/C][C]42438[/C][C]41471.4282407407[/C][C]40937.5833333333[/C][C]533.844907407406[/C][C]966.571759259263[/C][/ROW]
[ROW][C]10[/C][C]38064[/C][C]40157.087962963[/C][C]41125.5833333333[/C][C]-968.495370370372[/C][C]-2093.08796296296[/C][/ROW]
[ROW][C]11[/C][C]31879[/C][C]34806.6226851852[/C][C]40940.7916666667[/C][C]-6134.16898148148[/C][C]-2927.62268518519[/C][/ROW]
[ROW][C]12[/C][C]11379[/C][C]11131.4282407407[/C][C]40619.125[/C][C]-29487.6967592593[/C][C]247.571759259263[/C][/ROW]
[ROW][C]13[/C][C]70249[/C][C]68425.9490740741[/C][C]40506.8333333333[/C][C]27919.1157407407[/C][C]1823.05092592593[/C][/ROW]
[ROW][C]14[/C][C]39253[/C][C]40924.4490740741[/C][C]40272.125[/C][C]652.324074074075[/C][C]-1671.44907407407[/C][/ROW]
[ROW][C]15[/C][C]47060[/C][C]46975.9212962963[/C][C]40038[/C][C]6937.9212962963[/C][C]84.0787037037007[/C][/ROW]
[ROW][C]16[/C][C]41697[/C][C]39143.9282407407[/C][C]40027.625[/C][C]-883.696759259258[/C][C]2553.07175925926[/C][/ROW]
[ROW][C]17[/C][C]38708[/C][C]40249.525462963[/C][C]40194.75[/C][C]54.7754629629627[/C][C]-1541.52546296296[/C][/ROW]
[ROW][C]18[/C][C]49267[/C][C]47748.4421296296[/C][C]40335.5416666667[/C][C]7412.90046296296[/C][C]1518.55787037036[/C][/ROW]
[ROW][C]19[/C][C]39018[/C][C]38707.0393518519[/C][C]40392.875[/C][C]-1685.83564814815[/C][C]310.960648148146[/C][/ROW]
[ROW][C]20[/C][C]32228[/C][C]35854.9282407407[/C][C]40205.9166666667[/C][C]-4350.98842592592[/C][C]-3626.92824074073[/C][/ROW]
[ROW][C]21[/C][C]40870[/C][C]40455.3032407407[/C][C]39921.4583333333[/C][C]533.844907407406[/C][C]414.696759259255[/C][/ROW]
[ROW][C]22[/C][C]39383[/C][C]38847.1712962963[/C][C]39815.6666666667[/C][C]-968.495370370372[/C][C]535.828703703708[/C][/ROW]
[ROW][C]23[/C][C]34571[/C][C]33573.8726851852[/C][C]39708.0416666667[/C][C]-6134.16898148148[/C][C]997.12731481481[/C][/ROW]
[ROW][C]24[/C][C]12066[/C][C]9969.96990740741[/C][C]39457.6666666667[/C][C]-29487.6967592593[/C][C]2096.03009259259[/C][/ROW]
[ROW][C]25[/C][C]70938[/C][C]67148.2824074074[/C][C]39229.1666666667[/C][C]27919.1157407407[/C][C]3789.71759259259[/C][/ROW]
[ROW][C]26[/C][C]34077[/C][C]39854.2824074074[/C][C]39201.9583333333[/C][C]652.324074074075[/C][C]-5777.28240740741[/C][/ROW]
[ROW][C]27[/C][C]45409[/C][C]46100.212962963[/C][C]39162.2916666667[/C][C]6937.9212962963[/C][C]-691.212962962956[/C][/ROW]
[ROW][C]28[/C][C]40809[/C][C]38031.8865740741[/C][C]38915.5833333333[/C][C]-883.696759259258[/C][C]2777.11342592593[/C][/ROW]
[ROW][C]29[/C][C]37013[/C][C]38719.7337962963[/C][C]38664.9583333333[/C][C]54.7754629629627[/C][C]-1706.7337962963[/C][/ROW]
[ROW][C]30[/C][C]44953[/C][C]45869.150462963[/C][C]38456.25[/C][C]7412.90046296296[/C][C]-916.150462962964[/C][/ROW]
[ROW][C]31[/C][C]37848[/C][C]36542.1643518518[/C][C]38228[/C][C]-1685.83564814815[/C][C]1305.83564814815[/C][/ROW]
[ROW][C]32[/C][C]32745[/C][C]34020.6365740741[/C][C]38371.625[/C][C]-4350.98842592592[/C][C]-1275.63657407407[/C][/ROW]
[ROW][C]33[/C][C]39401[/C][C]39352.9282407407[/C][C]38819.0833333333[/C][C]533.844907407406[/C][C]48.0717592592628[/C][/ROW]
[ROW][C]34[/C][C]34931[/C][C]37887.3796296296[/C][C]38855.875[/C][C]-968.495370370372[/C][C]-2956.37962962963[/C][/ROW]
[ROW][C]35[/C][C]33008[/C][C]32700.9143518519[/C][C]38835.0833333333[/C][C]-6134.16898148148[/C][C]307.085648148146[/C][/ROW]
[ROW][C]36[/C][C]8620[/C][C]9653.76157407407[/C][C]39141.4583333333[/C][C]-29487.6967592593[/C][C]-1033.76157407407[/C][/ROW]
[ROW][C]37[/C][C]68906[/C][C]67137.6157407407[/C][C]39218.5[/C][C]27919.1157407407[/C][C]1768.38425925926[/C][/ROW]
[ROW][C]38[/C][C]39556[/C][C]39831.4074074074[/C][C]39179.0833333333[/C][C]652.324074074075[/C][C]-275.407407407401[/C][/ROW]
[ROW][C]39[/C][C]50669[/C][C]46145.337962963[/C][C]39207.4166666667[/C][C]6937.9212962963[/C][C]4523.66203703704[/C][/ROW]
[ROW][C]40[/C][C]36432[/C][C]38450.2199074074[/C][C]39333.9166666667[/C][C]-883.696759259258[/C][C]-2018.21990740741[/C][/ROW]
[ROW][C]41[/C][C]40891[/C][C]39589.900462963[/C][C]39535.125[/C][C]54.7754629629627[/C][C]1301.09953703704[/C][/ROW]
[ROW][C]42[/C][C]48428[/C][C]47190.9421296296[/C][C]39778.0416666667[/C][C]7412.90046296296[/C][C]1237.05787037037[/C][/ROW]
[ROW][C]43[/C][C]36222[/C][C]38269.1643518519[/C][C]39955[/C][C]-1685.83564814815[/C][C]-2047.16435185185[/C][/ROW]
[ROW][C]44[/C][C]33425[/C][C]35694.5532407407[/C][C]40045.5416666667[/C][C]-4350.98842592592[/C][C]-2269.55324074074[/C][/ROW]
[ROW][C]45[/C][C]39401[/C][C]40688.3449074074[/C][C]40154.5[/C][C]533.844907407406[/C][C]-1287.34490740742[/C][/ROW]
[ROW][C]46[/C][C]37967[/C][C]39300.5462962963[/C][C]40269.0416666667[/C][C]-968.495370370372[/C][C]-1333.5462962963[/C][/ROW]
[ROW][C]47[/C][C]34801[/C][C]34249.5810185185[/C][C]40383.75[/C][C]-6134.16898148148[/C][C]551.418981481489[/C][/ROW]
[ROW][C]48[/C][C]12657[/C][C]11075.2615740741[/C][C]40562.9583333333[/C][C]-29487.6967592593[/C][C]1581.73842592592[/C][/ROW]
[ROW][C]49[/C][C]69116[/C][C]68724.7407407407[/C][C]40805.625[/C][C]27919.1157407407[/C][C]391.259259259263[/C][/ROW]
[ROW][C]50[/C][C]41519[/C][C]41860.1157407407[/C][C]41207.7916666667[/C][C]652.324074074075[/C][C]-341.115740740737[/C][/ROW]
[ROW][C]51[/C][C]51321[/C][C]48500.337962963[/C][C]41562.4166666667[/C][C]6937.9212962963[/C][C]2820.66203703703[/C][/ROW]
[ROW][C]52[/C][C]38529[/C][C]40885.3449074074[/C][C]41769.0416666667[/C][C]-883.696759259258[/C][C]-2356.34490740742[/C][/ROW]
[ROW][C]53[/C][C]41547[/C][C]42116.2337962963[/C][C]42061.4583333333[/C][C]54.7754629629627[/C][C]-569.233796296292[/C][/ROW]
[ROW][C]54[/C][C]52073[/C][C]49441.4837962963[/C][C]42028.5833333333[/C][C]7412.90046296296[/C][C]2631.51620370371[/C][/ROW]
[ROW][C]55[/C][C]38401[/C][C]40141.9976851852[/C][C]41827.8333333333[/C][C]-1685.83564814815[/C][C]-1740.99768518518[/C][/ROW]
[ROW][C]56[/C][C]40898[/C][C]37813.4699074074[/C][C]42164.4583333333[/C][C]-4350.98842592592[/C][C]3084.53009259259[/C][/ROW]
[ROW][C]57[/C][C]40439[/C][C]42902.9282407407[/C][C]42369.0833333333[/C][C]533.844907407406[/C][C]-2463.92824074074[/C][/ROW]
[ROW][C]58[/C][C]41888[/C][C]41364.212962963[/C][C]42332.7083333333[/C][C]-968.495370370372[/C][C]523.787037037036[/C][/ROW]
[ROW][C]59[/C][C]37898[/C][C]36503.2476851852[/C][C]42637.4166666667[/C][C]-6134.16898148148[/C][C]1394.75231481481[/C][/ROW]
[ROW][C]60[/C][C]8771[/C][C]13156.0115740741[/C][C]42643.7083333333[/C][C]-29487.6967592593[/C][C]-4385.01157407408[/C][/ROW]
[ROW][C]61[/C][C]68184[/C][C]70444.0740740741[/C][C]42524.9583333333[/C][C]27919.1157407407[/C][C]-2260.07407407407[/C][/ROW]
[ROW][C]62[/C][C]50530[/C][C]43157.6157407407[/C][C]42505.2916666667[/C][C]652.324074074075[/C][C]7372.38425925926[/C][/ROW]
[ROW][C]63[/C][C]47221[/C][C]49406.587962963[/C][C]42468.6666666667[/C][C]6937.9212962963[/C][C]-2185.58796296296[/C][/ROW]
[ROW][C]64[/C][C]41756[/C][C]41602.4282407407[/C][C]42486.125[/C][C]-883.696759259258[/C][C]153.571759259263[/C][/ROW]
[ROW][C]65[/C][C]45633[/C][C]42189.4421296296[/C][C]42134.6666666667[/C][C]54.7754629629627[/C][C]3443.55787037037[/C][/ROW]
[ROW][C]66[/C][C]48138[/C][C]49135.3587962963[/C][C]41722.4583333333[/C][C]7412.90046296296[/C][C]-997.358796296299[/C][/ROW]
[ROW][C]67[/C][C]39486[/C][C]39485.5810185185[/C][C]41171.4166666667[/C][C]-1685.83564814815[/C][C]0.418981481474475[/C][/ROW]
[ROW][C]68[/C][C]39341[/C][C]35688.4282407407[/C][C]40039.4166666667[/C][C]-4350.98842592592[/C][C]3652.57175925926[/C][/ROW]
[ROW][C]69[/C][C]41117[/C][C]39416.4282407407[/C][C]38882.5833333333[/C][C]533.844907407406[/C][C]1700.57175925926[/C][/ROW]
[ROW][C]70[/C][C]41629[/C][C]36926.962962963[/C][C]37895.4583333333[/C][C]-968.495370370372[/C][C]4702.03703703704[/C][/ROW]
[ROW][C]71[/C][C]29722[/C][C]30666.1226851852[/C][C]36800.2916666667[/C][C]-6134.16898148148[/C][C]-944.122685185182[/C][/ROW]
[ROW][C]72[/C][C]7054[/C][C]6181.92824074073[/C][C]35669.625[/C][C]-29487.6967592593[/C][C]872.071759259263[/C][/ROW]
[ROW][C]73[/C][C]56676[/C][C]62809.6990740741[/C][C]34890.5833333333[/C][C]27919.1157407407[/C][C]-6133.69907407407[/C][/ROW]
[ROW][C]74[/C][C]34870[/C][C]34798.4907407407[/C][C]34146.1666666667[/C][C]652.324074074075[/C][C]71.5092592592628[/C][/ROW]
[ROW][C]75[/C][C]35117[/C][C]40289.962962963[/C][C]33352.0416666667[/C][C]6937.9212962963[/C][C]-5172.96296296296[/C][/ROW]
[ROW][C]76[/C][C]30169[/C][C]31899.5532407407[/C][C]32783.25[/C][C]-883.696759259258[/C][C]-1730.55324074073[/C][/ROW]
[ROW][C]77[/C][C]30936[/C][C]32484.525462963[/C][C]32429.75[/C][C]54.7754629629627[/C][C]-1548.52546296296[/C][/ROW]
[ROW][C]78[/C][C]35699[/C][C]39793.9837962963[/C][C]32381.0833333333[/C][C]7412.90046296296[/C][C]-4094.9837962963[/C][/ROW]
[ROW][C]79[/C][C]33228[/C][C]NA[/C][C]NA[/C][C]-1685.83564814815[/C][C]NA[/C][/ROW]
[ROW][C]80[/C][C]27733[/C][C]NA[/C][C]NA[/C][C]-4350.98842592592[/C][C]NA[/C][/ROW]
[ROW][C]81[/C][C]33666[/C][C]NA[/C][C]NA[/C][C]533.844907407406[/C][C]NA[/C][/ROW]
[ROW][C]82[/C][C]35429[/C][C]NA[/C][C]NA[/C][C]-968.495370370372[/C][C]NA[/C][/ROW]
[ROW][C]83[/C][C]27438[/C][C]NA[/C][C]NA[/C][C]-6134.16898148148[/C][C]NA[/C][/ROW]
[ROW][C]84[/C][C]8170[/C][C]NA[/C][C]NA[/C][C]-29487.6967592593[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147306&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147306&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	68897	NA	NA	27919.1157407407	NA
2	38683	NA	NA	652.324074074075	NA
3	44720	NA	NA	6937.9212962963	NA
4	39525	NA	NA	-883.696759259258	NA
5	45315	NA	NA	54.7754629629627	NA
6	50380	NA	NA	7412.90046296296	NA
7	40600	39050.4143518519	40736.25	-1685.83564814815	1549.58564814815
8	36279	36465.3449074074	40816.3333333333	-4350.98842592592	-186.344907407394
9	42438	41471.4282407407	40937.5833333333	533.844907407406	966.571759259263
10	38064	40157.087962963	41125.5833333333	-968.495370370372	-2093.08796296296
11	31879	34806.6226851852	40940.7916666667	-6134.16898148148	-2927.62268518519
12	11379	11131.4282407407	40619.125	-29487.6967592593	247.571759259263
13	70249	68425.9490740741	40506.8333333333	27919.1157407407	1823.05092592593
14	39253	40924.4490740741	40272.125	652.324074074075	-1671.44907407407
15	47060	46975.9212962963	40038	6937.9212962963	84.0787037037007
16	41697	39143.9282407407	40027.625	-883.696759259258	2553.07175925926
17	38708	40249.525462963	40194.75	54.7754629629627	-1541.52546296296
18	49267	47748.4421296296	40335.5416666667	7412.90046296296	1518.55787037036
19	39018	38707.0393518519	40392.875	-1685.83564814815	310.960648148146
20	32228	35854.9282407407	40205.9166666667	-4350.98842592592	-3626.92824074073
21	40870	40455.3032407407	39921.4583333333	533.844907407406	414.696759259255
22	39383	38847.1712962963	39815.6666666667	-968.495370370372	535.828703703708
23	34571	33573.8726851852	39708.0416666667	-6134.16898148148	997.12731481481
24	12066	9969.96990740741	39457.6666666667	-29487.6967592593	2096.03009259259
25	70938	67148.2824074074	39229.1666666667	27919.1157407407	3789.71759259259
26	34077	39854.2824074074	39201.9583333333	652.324074074075	-5777.28240740741
27	45409	46100.212962963	39162.2916666667	6937.9212962963	-691.212962962956
28	40809	38031.8865740741	38915.5833333333	-883.696759259258	2777.11342592593
29	37013	38719.7337962963	38664.9583333333	54.7754629629627	-1706.7337962963
30	44953	45869.150462963	38456.25	7412.90046296296	-916.150462962964
31	37848	36542.1643518518	38228	-1685.83564814815	1305.83564814815
32	32745	34020.6365740741	38371.625	-4350.98842592592	-1275.63657407407
33	39401	39352.9282407407	38819.0833333333	533.844907407406	48.0717592592628
34	34931	37887.3796296296	38855.875	-968.495370370372	-2956.37962962963
35	33008	32700.9143518519	38835.0833333333	-6134.16898148148	307.085648148146
36	8620	9653.76157407407	39141.4583333333	-29487.6967592593	-1033.76157407407
37	68906	67137.6157407407	39218.5	27919.1157407407	1768.38425925926
38	39556	39831.4074074074	39179.0833333333	652.324074074075	-275.407407407401
39	50669	46145.337962963	39207.4166666667	6937.9212962963	4523.66203703704
40	36432	38450.2199074074	39333.9166666667	-883.696759259258	-2018.21990740741
41	40891	39589.900462963	39535.125	54.7754629629627	1301.09953703704
42	48428	47190.9421296296	39778.0416666667	7412.90046296296	1237.05787037037
43	36222	38269.1643518519	39955	-1685.83564814815	-2047.16435185185
44	33425	35694.5532407407	40045.5416666667	-4350.98842592592	-2269.55324074074
45	39401	40688.3449074074	40154.5	533.844907407406	-1287.34490740742
46	37967	39300.5462962963	40269.0416666667	-968.495370370372	-1333.5462962963
47	34801	34249.5810185185	40383.75	-6134.16898148148	551.418981481489
48	12657	11075.2615740741	40562.9583333333	-29487.6967592593	1581.73842592592
49	69116	68724.7407407407	40805.625	27919.1157407407	391.259259259263
50	41519	41860.1157407407	41207.7916666667	652.324074074075	-341.115740740737
51	51321	48500.337962963	41562.4166666667	6937.9212962963	2820.66203703703
52	38529	40885.3449074074	41769.0416666667	-883.696759259258	-2356.34490740742
53	41547	42116.2337962963	42061.4583333333	54.7754629629627	-569.233796296292
54	52073	49441.4837962963	42028.5833333333	7412.90046296296	2631.51620370371
55	38401	40141.9976851852	41827.8333333333	-1685.83564814815	-1740.99768518518
56	40898	37813.4699074074	42164.4583333333	-4350.98842592592	3084.53009259259
57	40439	42902.9282407407	42369.0833333333	533.844907407406	-2463.92824074074
58	41888	41364.212962963	42332.7083333333	-968.495370370372	523.787037037036
59	37898	36503.2476851852	42637.4166666667	-6134.16898148148	1394.75231481481
60	8771	13156.0115740741	42643.7083333333	-29487.6967592593	-4385.01157407408
61	68184	70444.0740740741	42524.9583333333	27919.1157407407	-2260.07407407407
62	50530	43157.6157407407	42505.2916666667	652.324074074075	7372.38425925926
63	47221	49406.587962963	42468.6666666667	6937.9212962963	-2185.58796296296
64	41756	41602.4282407407	42486.125	-883.696759259258	153.571759259263
65	45633	42189.4421296296	42134.6666666667	54.7754629629627	3443.55787037037
66	48138	49135.3587962963	41722.4583333333	7412.90046296296	-997.358796296299
67	39486	39485.5810185185	41171.4166666667	-1685.83564814815	0.418981481474475
68	39341	35688.4282407407	40039.4166666667	-4350.98842592592	3652.57175925926
69	41117	39416.4282407407	38882.5833333333	533.844907407406	1700.57175925926
70	41629	36926.962962963	37895.4583333333	-968.495370370372	4702.03703703704
71	29722	30666.1226851852	36800.2916666667	-6134.16898148148	-944.122685185182
72	7054	6181.92824074073	35669.625	-29487.6967592593	872.071759259263
73	56676	62809.6990740741	34890.5833333333	27919.1157407407	-6133.69907407407
74	34870	34798.4907407407	34146.1666666667	652.324074074075	71.5092592592628
75	35117	40289.962962963	33352.0416666667	6937.9212962963	-5172.96296296296
76	30169	31899.5532407407	32783.25	-883.696759259258	-1730.55324074073
77	30936	32484.525462963	32429.75	54.7754629629627	-1548.52546296296
78	35699	39793.9837962963	32381.0833333333	7412.90046296296	-4094.9837962963
79	33228	NA	NA	-1685.83564814815	NA
80	27733	NA	NA	-4350.98842592592	NA
81	33666	NA	NA	533.844907407406	NA
82	35429	NA	NA	-968.495370370372	NA
83	27438	NA	NA	-6134.16898148148	NA
84	8170	NA	NA	-29487.6967592593	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