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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Mon, 12 Aug 2013 10:36:54 -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/2013/Aug/12/t13763190047z52f7o9q1boqe2.htm/, Retrieved Sat, 27 Apr 2024 13:59:31 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=211040, Retrieved Sat, 27 Apr 2024 13:59:31 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Anthony Van Dyck

Estimated Impact

136

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

-     [Univariate Data Series] [Tijdreeks 1 - stap 2] [2013-08-12 11:07:04] [c4bfab449d963e708b9482b0c0d301bf]
-   P   [Univariate Data Series] [Tijdreeks A - Stap 2] [2013-08-12 11:17:51] [fffbdc2eb6bf36a612a50d50ad291a0a]
- RMP     [Histogram] [Tijdreeks A - Stap 3] [2013-08-12 11:22:38] [fffbdc2eb6bf36a612a50d50ad291a0a]
- R P       [Histogram] [Tijdreeks A -stap 5] [2013-08-12 11:38:26] [c4bfab449d963e708b9482b0c0d301bf]
-   P         [Histogram] [Tijdreeks A -stap 5] [2013-08-12 11:42:06] [c4bfab449d963e708b9482b0c0d301bf]
- RMP           [Harrell-Davis Quantiles] [Tijdreeks A - sta...] [2013-08-12 12:35:57] [fffbdc2eb6bf36a612a50d50ad291a0a]
- R P             [Harrell-Davis Quantiles] [Tijdreeks A - sta...] [2013-08-12 12:48:29] [c4bfab449d963e708b9482b0c0d301bf]
- RMP               [(Partial) Autocorrelation Function] [Tijdreeks A - sta...] [2013-08-12 13:54:06] [fffbdc2eb6bf36a612a50d50ad291a0a]
- RM                    [Classical Decomposition] [Tijdreeks A - sta...] [2013-08-12 14:36:54] [946b987ea445738c2c70467dba74cc4f] [Current]

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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	6 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 & 6 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211040&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]6 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=211040&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211040&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	6 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	36439	NA	NA	-80.1304	NA
2	36368	NA	NA	-772.149	NA
3	36290	NA	NA	-382.052	NA
4	36147	NA	NA	1207.95	NA
5	37615	NA	NA	2224.74	NA
6	37543	NA	NA	2093.12	NA
7	36439	36741.5	36310.5	431.059	-302.518
8	35705	35968.3	36249	-280.751	-263.291
9	35777	34965.6	36154	-1188.4	811.357
10	35777	34269.8	36068.2	-1798.48	1507.23
11	35848	34768.5	35982.5	-1213.94	1079.48
12	35998	35634.3	35875.3	-240.978	363.686
13	35998	35672.6	35752.7	-80.1304	325.422
14	35335	34827.1	35599.3	-772.149	507.857
15	35043	35032.9	35415	-382.052	10.0517
16	35335	36408	35200.1	1207.95	-1073.03
17	36368	37201	34976.2	2224.74	-832.99
18	36218	36864	34770.8	2093.12	-645.958
19	34822	34999.4	34568.4	431.059	-177.434
20	33640	34094.4	34375.1	-280.751	-454.374
21	33419	32996.5	34184.9	-1188.4	422.524
22	32977	32196.1	33994.6	-1798.48	780.853
23	33276	32581.2	33795.2	-1213.94	694.769
24	33640	33333.4	33574.3	-240.978	306.644
25	33497	33260.9	33341	-80.1304	236.089
26	33198	32341.8	33114	-772.149	856.191
27	32614	32502.1	32884.2	-382.052	111.885
28	33198	33834.7	32626.8	1207.95	-636.74
29	33718	34572.5	32347.8	2224.74	-854.532
30	33568	34149.7	32056.6	2093.12	-581.708
31	31873	32181	31749.9	431.059	-307.976
32	31139	31147.1	31427.8	-280.751	-8.08256
33	30405	29935.7	31124.1	-1188.4	469.274
34	29814	29065	30863.5	-1798.48	749.019
35	29743	29401.1	30615	-1213.94	341.936
36	30184	30085.5	30326.5	-240.978	98.4776
37	29593	29921.3	30001.5	-80.1304	-328.328
38	29372	28885.9	29658	-772.149	486.149
39	29151	28898.7	29280.7	-382.052	252.302
40	30405	30083.8	28875.9	1207.95	321.177
41	30548	30710.8	28486.1	2224.74	-162.823
42	29814	30204.6	28111.5	2093.12	-390.583
43	27826	28192.6	27761.5	431.059	-366.559
44	26943	27149.5	27430.2	-280.751	-206.499
45	25547	25910.6	27099	-1188.4	-363.601
46	24955	24972.2	26770.7	-1798.48	-17.2307
47	25247	25259.4	26473.3	-1213.94	-12.3557
48	25689	25980.9	26221.9	-240.978	-291.897
49	25689	25923.9	26004	-80.1304	-234.87
50	25326	25041.6	25813.8	-772.149	284.399
51	25247	25241.4	25623.5	-382.052	5.5517
52	26430	26619.8	25411.9	1207.95	-189.823
53	27385	27428.3	25203.5	2224.74	-43.2816
54	26943	27118.9	25025.8	2093.12	-175.916
55	25468	25291.3	24860.2	431.059	176.732
56	24735	24389.2	24670	-280.751	345.792
57	23189	23267	24455.4	-1188.4	-77.9761
58	22234	22445.3	24243.7	-1798.48	-211.272
59	22968	22814.9	24028.8	-1213.94	153.103
60	23702	23573.2	23814.2	-240.978	128.769
61	23702	23525.7	23605.8	-80.1304	176.297
62	22747	22616.1	23388.2	-772.149	130.899
63	22676	22757.7	23139.7	-382.052	-81.6983
64	23922	24083.8	22875.8	1207.95	-161.782
65	24735	24824.5	22599.8	2224.74	-89.49
66	24442	24420	22326.9	2093.12	21.9591
67	22968	22509.8	22078.7	431.059	458.232
68	22013	21515.9	21796.7	-280.751	497.084
69	19947	20320	21508.4	-1188.4	-373.018
70	19142	19467.7	21266.2	-1798.48	-325.731
71	19434	19822.2	21036.2	-1213.94	-388.231
72	20688	20555.6	20796.6	-240.978	132.353
73	20759	20449.4	20529.5	-80.1304	309.63
74	18921	19450.4	20222.6	-772.149	-529.434
75	19584	19533.9	19916	-382.052	50.0934
76	21201	20817.3	19609.3	1207.95	383.718
77	21935	21517.9	19293.2	2224.74	417.052
78	21493	21073.2	18980	2093.12	419.834
79	19506	19076.6	18645.5	431.059	429.441
80	18109	18024.3	18305	-280.751	84.7091
81	16492	16779.1	17967.5	-1188.4	-287.143
82	15238	15825.3	17623.8	-1798.48	-587.314
83	15751	16072.4	17286.3	-1213.94	-321.356
84	16855	16711.1	16952.1	-240.978	143.894
85	16563	16534.7	16614.9	-80.1304	28.2554
86	14946	15526.9	16299	-772.149	-580.893
87	15459	15634.7	16016.8	-382.052	-175.74
88	17076	16948.7	15740.8	1207.95	127.302
89	17960	17671.3	15446.6	2224.74	288.677
90	17447	17233.4	15140.2	2093.12	213.626
91	15459	15283.1	14852	431.059	175.899
92	14576	14313.4	14594.1	-280.751	262.626
93	13251	13147.8	14336.2	-1188.4	103.191
94	11854	12277.1	14075.6	-1798.48	-423.147
95	12075	12592.1	13806.1	-1213.94	-517.147
96	13179	13267.6	13508.6	-240.978	-88.6474
97	13322	13091	13171.1	-80.1304	231.005
98	11997	12009.5	12781.7	-772.149	-12.5177
99	12218	11967.1	12349.2	-382.052	250.885
100	14063	13084.6	11876.6	1207.95	978.427
101	14504	13625.9	11401.1	2224.74	878.135
102	13764	13021.7	10928.6	2093.12	742.292
103	11042	10862.8	10431.7	431.059	179.232
104	9646	9638.92	9919.67	-280.751	7.0841
105	7801	8240.56	9428.96	-1188.4	-439.559
106	5963	7170.36	8968.83	-1798.48	-1207.36
107	6554	7319.15	8533.08	-1213.94	-765.147
108	7359	7887.23	8128.21	-240.978	-528.231
109	7217	7695.45	7775.58	-80.1304	-478.453
110	5813	6690.6	7462.75	-772.149	-877.601
111	6625	6783.28	7165.33	-382.052	-158.282
112	8613	8097.2	6889.25	1207.95	515.802
113	9496	8831.7	6606.96	2224.74	664.302
114	9055	8393.5	6300.38	2093.12	661.501
115	7288	NA	NA	431.059	NA
116	5892	NA	NA	-280.751	NA
117	4417	NA	NA	-1188.4	NA
118	2721	NA	NA	-1798.48	NA
119	3021	NA	NA	-1213.94	NA
120	3534	NA	NA	-240.978	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 36439 & NA & NA & -80.1304 & NA \tabularnewline
2 & 36368 & NA & NA & -772.149 & NA \tabularnewline
3 & 36290 & NA & NA & -382.052 & NA \tabularnewline
4 & 36147 & NA & NA & 1207.95 & NA \tabularnewline
5 & 37615 & NA & NA & 2224.74 & NA \tabularnewline
6 & 37543 & NA & NA & 2093.12 & NA \tabularnewline
7 & 36439 & 36741.5 & 36310.5 & 431.059 & -302.518 \tabularnewline
8 & 35705 & 35968.3 & 36249 & -280.751 & -263.291 \tabularnewline
9 & 35777 & 34965.6 & 36154 & -1188.4 & 811.357 \tabularnewline
10 & 35777 & 34269.8 & 36068.2 & -1798.48 & 1507.23 \tabularnewline
11 & 35848 & 34768.5 & 35982.5 & -1213.94 & 1079.48 \tabularnewline
12 & 35998 & 35634.3 & 35875.3 & -240.978 & 363.686 \tabularnewline
13 & 35998 & 35672.6 & 35752.7 & -80.1304 & 325.422 \tabularnewline
14 & 35335 & 34827.1 & 35599.3 & -772.149 & 507.857 \tabularnewline
15 & 35043 & 35032.9 & 35415 & -382.052 & 10.0517 \tabularnewline
16 & 35335 & 36408 & 35200.1 & 1207.95 & -1073.03 \tabularnewline
17 & 36368 & 37201 & 34976.2 & 2224.74 & -832.99 \tabularnewline
18 & 36218 & 36864 & 34770.8 & 2093.12 & -645.958 \tabularnewline
19 & 34822 & 34999.4 & 34568.4 & 431.059 & -177.434 \tabularnewline
20 & 33640 & 34094.4 & 34375.1 & -280.751 & -454.374 \tabularnewline
21 & 33419 & 32996.5 & 34184.9 & -1188.4 & 422.524 \tabularnewline
22 & 32977 & 32196.1 & 33994.6 & -1798.48 & 780.853 \tabularnewline
23 & 33276 & 32581.2 & 33795.2 & -1213.94 & 694.769 \tabularnewline
24 & 33640 & 33333.4 & 33574.3 & -240.978 & 306.644 \tabularnewline
25 & 33497 & 33260.9 & 33341 & -80.1304 & 236.089 \tabularnewline
26 & 33198 & 32341.8 & 33114 & -772.149 & 856.191 \tabularnewline
27 & 32614 & 32502.1 & 32884.2 & -382.052 & 111.885 \tabularnewline
28 & 33198 & 33834.7 & 32626.8 & 1207.95 & -636.74 \tabularnewline
29 & 33718 & 34572.5 & 32347.8 & 2224.74 & -854.532 \tabularnewline
30 & 33568 & 34149.7 & 32056.6 & 2093.12 & -581.708 \tabularnewline
31 & 31873 & 32181 & 31749.9 & 431.059 & -307.976 \tabularnewline
32 & 31139 & 31147.1 & 31427.8 & -280.751 & -8.08256 \tabularnewline
33 & 30405 & 29935.7 & 31124.1 & -1188.4 & 469.274 \tabularnewline
34 & 29814 & 29065 & 30863.5 & -1798.48 & 749.019 \tabularnewline
35 & 29743 & 29401.1 & 30615 & -1213.94 & 341.936 \tabularnewline
36 & 30184 & 30085.5 & 30326.5 & -240.978 & 98.4776 \tabularnewline
37 & 29593 & 29921.3 & 30001.5 & -80.1304 & -328.328 \tabularnewline
38 & 29372 & 28885.9 & 29658 & -772.149 & 486.149 \tabularnewline
39 & 29151 & 28898.7 & 29280.7 & -382.052 & 252.302 \tabularnewline
40 & 30405 & 30083.8 & 28875.9 & 1207.95 & 321.177 \tabularnewline
41 & 30548 & 30710.8 & 28486.1 & 2224.74 & -162.823 \tabularnewline
42 & 29814 & 30204.6 & 28111.5 & 2093.12 & -390.583 \tabularnewline
43 & 27826 & 28192.6 & 27761.5 & 431.059 & -366.559 \tabularnewline
44 & 26943 & 27149.5 & 27430.2 & -280.751 & -206.499 \tabularnewline
45 & 25547 & 25910.6 & 27099 & -1188.4 & -363.601 \tabularnewline
46 & 24955 & 24972.2 & 26770.7 & -1798.48 & -17.2307 \tabularnewline
47 & 25247 & 25259.4 & 26473.3 & -1213.94 & -12.3557 \tabularnewline
48 & 25689 & 25980.9 & 26221.9 & -240.978 & -291.897 \tabularnewline
49 & 25689 & 25923.9 & 26004 & -80.1304 & -234.87 \tabularnewline
50 & 25326 & 25041.6 & 25813.8 & -772.149 & 284.399 \tabularnewline
51 & 25247 & 25241.4 & 25623.5 & -382.052 & 5.5517 \tabularnewline
52 & 26430 & 26619.8 & 25411.9 & 1207.95 & -189.823 \tabularnewline
53 & 27385 & 27428.3 & 25203.5 & 2224.74 & -43.2816 \tabularnewline
54 & 26943 & 27118.9 & 25025.8 & 2093.12 & -175.916 \tabularnewline
55 & 25468 & 25291.3 & 24860.2 & 431.059 & 176.732 \tabularnewline
56 & 24735 & 24389.2 & 24670 & -280.751 & 345.792 \tabularnewline
57 & 23189 & 23267 & 24455.4 & -1188.4 & -77.9761 \tabularnewline
58 & 22234 & 22445.3 & 24243.7 & -1798.48 & -211.272 \tabularnewline
59 & 22968 & 22814.9 & 24028.8 & -1213.94 & 153.103 \tabularnewline
60 & 23702 & 23573.2 & 23814.2 & -240.978 & 128.769 \tabularnewline
61 & 23702 & 23525.7 & 23605.8 & -80.1304 & 176.297 \tabularnewline
62 & 22747 & 22616.1 & 23388.2 & -772.149 & 130.899 \tabularnewline
63 & 22676 & 22757.7 & 23139.7 & -382.052 & -81.6983 \tabularnewline
64 & 23922 & 24083.8 & 22875.8 & 1207.95 & -161.782 \tabularnewline
65 & 24735 & 24824.5 & 22599.8 & 2224.74 & -89.49 \tabularnewline
66 & 24442 & 24420 & 22326.9 & 2093.12 & 21.9591 \tabularnewline
67 & 22968 & 22509.8 & 22078.7 & 431.059 & 458.232 \tabularnewline
68 & 22013 & 21515.9 & 21796.7 & -280.751 & 497.084 \tabularnewline
69 & 19947 & 20320 & 21508.4 & -1188.4 & -373.018 \tabularnewline
70 & 19142 & 19467.7 & 21266.2 & -1798.48 & -325.731 \tabularnewline
71 & 19434 & 19822.2 & 21036.2 & -1213.94 & -388.231 \tabularnewline
72 & 20688 & 20555.6 & 20796.6 & -240.978 & 132.353 \tabularnewline
73 & 20759 & 20449.4 & 20529.5 & -80.1304 & 309.63 \tabularnewline
74 & 18921 & 19450.4 & 20222.6 & -772.149 & -529.434 \tabularnewline
75 & 19584 & 19533.9 & 19916 & -382.052 & 50.0934 \tabularnewline
76 & 21201 & 20817.3 & 19609.3 & 1207.95 & 383.718 \tabularnewline
77 & 21935 & 21517.9 & 19293.2 & 2224.74 & 417.052 \tabularnewline
78 & 21493 & 21073.2 & 18980 & 2093.12 & 419.834 \tabularnewline
79 & 19506 & 19076.6 & 18645.5 & 431.059 & 429.441 \tabularnewline
80 & 18109 & 18024.3 & 18305 & -280.751 & 84.7091 \tabularnewline
81 & 16492 & 16779.1 & 17967.5 & -1188.4 & -287.143 \tabularnewline
82 & 15238 & 15825.3 & 17623.8 & -1798.48 & -587.314 \tabularnewline
83 & 15751 & 16072.4 & 17286.3 & -1213.94 & -321.356 \tabularnewline
84 & 16855 & 16711.1 & 16952.1 & -240.978 & 143.894 \tabularnewline
85 & 16563 & 16534.7 & 16614.9 & -80.1304 & 28.2554 \tabularnewline
86 & 14946 & 15526.9 & 16299 & -772.149 & -580.893 \tabularnewline
87 & 15459 & 15634.7 & 16016.8 & -382.052 & -175.74 \tabularnewline
88 & 17076 & 16948.7 & 15740.8 & 1207.95 & 127.302 \tabularnewline
89 & 17960 & 17671.3 & 15446.6 & 2224.74 & 288.677 \tabularnewline
90 & 17447 & 17233.4 & 15140.2 & 2093.12 & 213.626 \tabularnewline
91 & 15459 & 15283.1 & 14852 & 431.059 & 175.899 \tabularnewline
92 & 14576 & 14313.4 & 14594.1 & -280.751 & 262.626 \tabularnewline
93 & 13251 & 13147.8 & 14336.2 & -1188.4 & 103.191 \tabularnewline
94 & 11854 & 12277.1 & 14075.6 & -1798.48 & -423.147 \tabularnewline
95 & 12075 & 12592.1 & 13806.1 & -1213.94 & -517.147 \tabularnewline
96 & 13179 & 13267.6 & 13508.6 & -240.978 & -88.6474 \tabularnewline
97 & 13322 & 13091 & 13171.1 & -80.1304 & 231.005 \tabularnewline
98 & 11997 & 12009.5 & 12781.7 & -772.149 & -12.5177 \tabularnewline
99 & 12218 & 11967.1 & 12349.2 & -382.052 & 250.885 \tabularnewline
100 & 14063 & 13084.6 & 11876.6 & 1207.95 & 978.427 \tabularnewline
101 & 14504 & 13625.9 & 11401.1 & 2224.74 & 878.135 \tabularnewline
102 & 13764 & 13021.7 & 10928.6 & 2093.12 & 742.292 \tabularnewline
103 & 11042 & 10862.8 & 10431.7 & 431.059 & 179.232 \tabularnewline
104 & 9646 & 9638.92 & 9919.67 & -280.751 & 7.0841 \tabularnewline
105 & 7801 & 8240.56 & 9428.96 & -1188.4 & -439.559 \tabularnewline
106 & 5963 & 7170.36 & 8968.83 & -1798.48 & -1207.36 \tabularnewline
107 & 6554 & 7319.15 & 8533.08 & -1213.94 & -765.147 \tabularnewline
108 & 7359 & 7887.23 & 8128.21 & -240.978 & -528.231 \tabularnewline
109 & 7217 & 7695.45 & 7775.58 & -80.1304 & -478.453 \tabularnewline
110 & 5813 & 6690.6 & 7462.75 & -772.149 & -877.601 \tabularnewline
111 & 6625 & 6783.28 & 7165.33 & -382.052 & -158.282 \tabularnewline
112 & 8613 & 8097.2 & 6889.25 & 1207.95 & 515.802 \tabularnewline
113 & 9496 & 8831.7 & 6606.96 & 2224.74 & 664.302 \tabularnewline
114 & 9055 & 8393.5 & 6300.38 & 2093.12 & 661.501 \tabularnewline
115 & 7288 & NA & NA & 431.059 & NA \tabularnewline
116 & 5892 & NA & NA & -280.751 & NA \tabularnewline
117 & 4417 & NA & NA & -1188.4 & NA \tabularnewline
118 & 2721 & NA & NA & -1798.48 & NA \tabularnewline
119 & 3021 & NA & NA & -1213.94 & NA \tabularnewline
120 & 3534 & NA & NA & -240.978 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211040&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]36439[/C][C]NA[/C][C]NA[/C][C]-80.1304[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]36368[/C][C]NA[/C][C]NA[/C][C]-772.149[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]36290[/C][C]NA[/C][C]NA[/C][C]-382.052[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]36147[/C][C]NA[/C][C]NA[/C][C]1207.95[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]37615[/C][C]NA[/C][C]NA[/C][C]2224.74[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]37543[/C][C]NA[/C][C]NA[/C][C]2093.12[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]36439[/C][C]36741.5[/C][C]36310.5[/C][C]431.059[/C][C]-302.518[/C][/ROW]
[ROW][C]8[/C][C]35705[/C][C]35968.3[/C][C]36249[/C][C]-280.751[/C][C]-263.291[/C][/ROW]
[ROW][C]9[/C][C]35777[/C][C]34965.6[/C][C]36154[/C][C]-1188.4[/C][C]811.357[/C][/ROW]
[ROW][C]10[/C][C]35777[/C][C]34269.8[/C][C]36068.2[/C][C]-1798.48[/C][C]1507.23[/C][/ROW]
[ROW][C]11[/C][C]35848[/C][C]34768.5[/C][C]35982.5[/C][C]-1213.94[/C][C]1079.48[/C][/ROW]
[ROW][C]12[/C][C]35998[/C][C]35634.3[/C][C]35875.3[/C][C]-240.978[/C][C]363.686[/C][/ROW]
[ROW][C]13[/C][C]35998[/C][C]35672.6[/C][C]35752.7[/C][C]-80.1304[/C][C]325.422[/C][/ROW]
[ROW][C]14[/C][C]35335[/C][C]34827.1[/C][C]35599.3[/C][C]-772.149[/C][C]507.857[/C][/ROW]
[ROW][C]15[/C][C]35043[/C][C]35032.9[/C][C]35415[/C][C]-382.052[/C][C]10.0517[/C][/ROW]
[ROW][C]16[/C][C]35335[/C][C]36408[/C][C]35200.1[/C][C]1207.95[/C][C]-1073.03[/C][/ROW]
[ROW][C]17[/C][C]36368[/C][C]37201[/C][C]34976.2[/C][C]2224.74[/C][C]-832.99[/C][/ROW]
[ROW][C]18[/C][C]36218[/C][C]36864[/C][C]34770.8[/C][C]2093.12[/C][C]-645.958[/C][/ROW]
[ROW][C]19[/C][C]34822[/C][C]34999.4[/C][C]34568.4[/C][C]431.059[/C][C]-177.434[/C][/ROW]
[ROW][C]20[/C][C]33640[/C][C]34094.4[/C][C]34375.1[/C][C]-280.751[/C][C]-454.374[/C][/ROW]
[ROW][C]21[/C][C]33419[/C][C]32996.5[/C][C]34184.9[/C][C]-1188.4[/C][C]422.524[/C][/ROW]
[ROW][C]22[/C][C]32977[/C][C]32196.1[/C][C]33994.6[/C][C]-1798.48[/C][C]780.853[/C][/ROW]
[ROW][C]23[/C][C]33276[/C][C]32581.2[/C][C]33795.2[/C][C]-1213.94[/C][C]694.769[/C][/ROW]
[ROW][C]24[/C][C]33640[/C][C]33333.4[/C][C]33574.3[/C][C]-240.978[/C][C]306.644[/C][/ROW]
[ROW][C]25[/C][C]33497[/C][C]33260.9[/C][C]33341[/C][C]-80.1304[/C][C]236.089[/C][/ROW]
[ROW][C]26[/C][C]33198[/C][C]32341.8[/C][C]33114[/C][C]-772.149[/C][C]856.191[/C][/ROW]
[ROW][C]27[/C][C]32614[/C][C]32502.1[/C][C]32884.2[/C][C]-382.052[/C][C]111.885[/C][/ROW]
[ROW][C]28[/C][C]33198[/C][C]33834.7[/C][C]32626.8[/C][C]1207.95[/C][C]-636.74[/C][/ROW]
[ROW][C]29[/C][C]33718[/C][C]34572.5[/C][C]32347.8[/C][C]2224.74[/C][C]-854.532[/C][/ROW]
[ROW][C]30[/C][C]33568[/C][C]34149.7[/C][C]32056.6[/C][C]2093.12[/C][C]-581.708[/C][/ROW]
[ROW][C]31[/C][C]31873[/C][C]32181[/C][C]31749.9[/C][C]431.059[/C][C]-307.976[/C][/ROW]
[ROW][C]32[/C][C]31139[/C][C]31147.1[/C][C]31427.8[/C][C]-280.751[/C][C]-8.08256[/C][/ROW]
[ROW][C]33[/C][C]30405[/C][C]29935.7[/C][C]31124.1[/C][C]-1188.4[/C][C]469.274[/C][/ROW]
[ROW][C]34[/C][C]29814[/C][C]29065[/C][C]30863.5[/C][C]-1798.48[/C][C]749.019[/C][/ROW]
[ROW][C]35[/C][C]29743[/C][C]29401.1[/C][C]30615[/C][C]-1213.94[/C][C]341.936[/C][/ROW]
[ROW][C]36[/C][C]30184[/C][C]30085.5[/C][C]30326.5[/C][C]-240.978[/C][C]98.4776[/C][/ROW]
[ROW][C]37[/C][C]29593[/C][C]29921.3[/C][C]30001.5[/C][C]-80.1304[/C][C]-328.328[/C][/ROW]
[ROW][C]38[/C][C]29372[/C][C]28885.9[/C][C]29658[/C][C]-772.149[/C][C]486.149[/C][/ROW]
[ROW][C]39[/C][C]29151[/C][C]28898.7[/C][C]29280.7[/C][C]-382.052[/C][C]252.302[/C][/ROW]
[ROW][C]40[/C][C]30405[/C][C]30083.8[/C][C]28875.9[/C][C]1207.95[/C][C]321.177[/C][/ROW]
[ROW][C]41[/C][C]30548[/C][C]30710.8[/C][C]28486.1[/C][C]2224.74[/C][C]-162.823[/C][/ROW]
[ROW][C]42[/C][C]29814[/C][C]30204.6[/C][C]28111.5[/C][C]2093.12[/C][C]-390.583[/C][/ROW]
[ROW][C]43[/C][C]27826[/C][C]28192.6[/C][C]27761.5[/C][C]431.059[/C][C]-366.559[/C][/ROW]
[ROW][C]44[/C][C]26943[/C][C]27149.5[/C][C]27430.2[/C][C]-280.751[/C][C]-206.499[/C][/ROW]
[ROW][C]45[/C][C]25547[/C][C]25910.6[/C][C]27099[/C][C]-1188.4[/C][C]-363.601[/C][/ROW]
[ROW][C]46[/C][C]24955[/C][C]24972.2[/C][C]26770.7[/C][C]-1798.48[/C][C]-17.2307[/C][/ROW]
[ROW][C]47[/C][C]25247[/C][C]25259.4[/C][C]26473.3[/C][C]-1213.94[/C][C]-12.3557[/C][/ROW]
[ROW][C]48[/C][C]25689[/C][C]25980.9[/C][C]26221.9[/C][C]-240.978[/C][C]-291.897[/C][/ROW]
[ROW][C]49[/C][C]25689[/C][C]25923.9[/C][C]26004[/C][C]-80.1304[/C][C]-234.87[/C][/ROW]
[ROW][C]50[/C][C]25326[/C][C]25041.6[/C][C]25813.8[/C][C]-772.149[/C][C]284.399[/C][/ROW]
[ROW][C]51[/C][C]25247[/C][C]25241.4[/C][C]25623.5[/C][C]-382.052[/C][C]5.5517[/C][/ROW]
[ROW][C]52[/C][C]26430[/C][C]26619.8[/C][C]25411.9[/C][C]1207.95[/C][C]-189.823[/C][/ROW]
[ROW][C]53[/C][C]27385[/C][C]27428.3[/C][C]25203.5[/C][C]2224.74[/C][C]-43.2816[/C][/ROW]
[ROW][C]54[/C][C]26943[/C][C]27118.9[/C][C]25025.8[/C][C]2093.12[/C][C]-175.916[/C][/ROW]
[ROW][C]55[/C][C]25468[/C][C]25291.3[/C][C]24860.2[/C][C]431.059[/C][C]176.732[/C][/ROW]
[ROW][C]56[/C][C]24735[/C][C]24389.2[/C][C]24670[/C][C]-280.751[/C][C]345.792[/C][/ROW]
[ROW][C]57[/C][C]23189[/C][C]23267[/C][C]24455.4[/C][C]-1188.4[/C][C]-77.9761[/C][/ROW]
[ROW][C]58[/C][C]22234[/C][C]22445.3[/C][C]24243.7[/C][C]-1798.48[/C][C]-211.272[/C][/ROW]
[ROW][C]59[/C][C]22968[/C][C]22814.9[/C][C]24028.8[/C][C]-1213.94[/C][C]153.103[/C][/ROW]
[ROW][C]60[/C][C]23702[/C][C]23573.2[/C][C]23814.2[/C][C]-240.978[/C][C]128.769[/C][/ROW]
[ROW][C]61[/C][C]23702[/C][C]23525.7[/C][C]23605.8[/C][C]-80.1304[/C][C]176.297[/C][/ROW]
[ROW][C]62[/C][C]22747[/C][C]22616.1[/C][C]23388.2[/C][C]-772.149[/C][C]130.899[/C][/ROW]
[ROW][C]63[/C][C]22676[/C][C]22757.7[/C][C]23139.7[/C][C]-382.052[/C][C]-81.6983[/C][/ROW]
[ROW][C]64[/C][C]23922[/C][C]24083.8[/C][C]22875.8[/C][C]1207.95[/C][C]-161.782[/C][/ROW]
[ROW][C]65[/C][C]24735[/C][C]24824.5[/C][C]22599.8[/C][C]2224.74[/C][C]-89.49[/C][/ROW]
[ROW][C]66[/C][C]24442[/C][C]24420[/C][C]22326.9[/C][C]2093.12[/C][C]21.9591[/C][/ROW]
[ROW][C]67[/C][C]22968[/C][C]22509.8[/C][C]22078.7[/C][C]431.059[/C][C]458.232[/C][/ROW]
[ROW][C]68[/C][C]22013[/C][C]21515.9[/C][C]21796.7[/C][C]-280.751[/C][C]497.084[/C][/ROW]
[ROW][C]69[/C][C]19947[/C][C]20320[/C][C]21508.4[/C][C]-1188.4[/C][C]-373.018[/C][/ROW]
[ROW][C]70[/C][C]19142[/C][C]19467.7[/C][C]21266.2[/C][C]-1798.48[/C][C]-325.731[/C][/ROW]
[ROW][C]71[/C][C]19434[/C][C]19822.2[/C][C]21036.2[/C][C]-1213.94[/C][C]-388.231[/C][/ROW]
[ROW][C]72[/C][C]20688[/C][C]20555.6[/C][C]20796.6[/C][C]-240.978[/C][C]132.353[/C][/ROW]
[ROW][C]73[/C][C]20759[/C][C]20449.4[/C][C]20529.5[/C][C]-80.1304[/C][C]309.63[/C][/ROW]
[ROW][C]74[/C][C]18921[/C][C]19450.4[/C][C]20222.6[/C][C]-772.149[/C][C]-529.434[/C][/ROW]
[ROW][C]75[/C][C]19584[/C][C]19533.9[/C][C]19916[/C][C]-382.052[/C][C]50.0934[/C][/ROW]
[ROW][C]76[/C][C]21201[/C][C]20817.3[/C][C]19609.3[/C][C]1207.95[/C][C]383.718[/C][/ROW]
[ROW][C]77[/C][C]21935[/C][C]21517.9[/C][C]19293.2[/C][C]2224.74[/C][C]417.052[/C][/ROW]
[ROW][C]78[/C][C]21493[/C][C]21073.2[/C][C]18980[/C][C]2093.12[/C][C]419.834[/C][/ROW]
[ROW][C]79[/C][C]19506[/C][C]19076.6[/C][C]18645.5[/C][C]431.059[/C][C]429.441[/C][/ROW]
[ROW][C]80[/C][C]18109[/C][C]18024.3[/C][C]18305[/C][C]-280.751[/C][C]84.7091[/C][/ROW]
[ROW][C]81[/C][C]16492[/C][C]16779.1[/C][C]17967.5[/C][C]-1188.4[/C][C]-287.143[/C][/ROW]
[ROW][C]82[/C][C]15238[/C][C]15825.3[/C][C]17623.8[/C][C]-1798.48[/C][C]-587.314[/C][/ROW]
[ROW][C]83[/C][C]15751[/C][C]16072.4[/C][C]17286.3[/C][C]-1213.94[/C][C]-321.356[/C][/ROW]
[ROW][C]84[/C][C]16855[/C][C]16711.1[/C][C]16952.1[/C][C]-240.978[/C][C]143.894[/C][/ROW]
[ROW][C]85[/C][C]16563[/C][C]16534.7[/C][C]16614.9[/C][C]-80.1304[/C][C]28.2554[/C][/ROW]
[ROW][C]86[/C][C]14946[/C][C]15526.9[/C][C]16299[/C][C]-772.149[/C][C]-580.893[/C][/ROW]
[ROW][C]87[/C][C]15459[/C][C]15634.7[/C][C]16016.8[/C][C]-382.052[/C][C]-175.74[/C][/ROW]
[ROW][C]88[/C][C]17076[/C][C]16948.7[/C][C]15740.8[/C][C]1207.95[/C][C]127.302[/C][/ROW]
[ROW][C]89[/C][C]17960[/C][C]17671.3[/C][C]15446.6[/C][C]2224.74[/C][C]288.677[/C][/ROW]
[ROW][C]90[/C][C]17447[/C][C]17233.4[/C][C]15140.2[/C][C]2093.12[/C][C]213.626[/C][/ROW]
[ROW][C]91[/C][C]15459[/C][C]15283.1[/C][C]14852[/C][C]431.059[/C][C]175.899[/C][/ROW]
[ROW][C]92[/C][C]14576[/C][C]14313.4[/C][C]14594.1[/C][C]-280.751[/C][C]262.626[/C][/ROW]
[ROW][C]93[/C][C]13251[/C][C]13147.8[/C][C]14336.2[/C][C]-1188.4[/C][C]103.191[/C][/ROW]
[ROW][C]94[/C][C]11854[/C][C]12277.1[/C][C]14075.6[/C][C]-1798.48[/C][C]-423.147[/C][/ROW]
[ROW][C]95[/C][C]12075[/C][C]12592.1[/C][C]13806.1[/C][C]-1213.94[/C][C]-517.147[/C][/ROW]
[ROW][C]96[/C][C]13179[/C][C]13267.6[/C][C]13508.6[/C][C]-240.978[/C][C]-88.6474[/C][/ROW]
[ROW][C]97[/C][C]13322[/C][C]13091[/C][C]13171.1[/C][C]-80.1304[/C][C]231.005[/C][/ROW]
[ROW][C]98[/C][C]11997[/C][C]12009.5[/C][C]12781.7[/C][C]-772.149[/C][C]-12.5177[/C][/ROW]
[ROW][C]99[/C][C]12218[/C][C]11967.1[/C][C]12349.2[/C][C]-382.052[/C][C]250.885[/C][/ROW]
[ROW][C]100[/C][C]14063[/C][C]13084.6[/C][C]11876.6[/C][C]1207.95[/C][C]978.427[/C][/ROW]
[ROW][C]101[/C][C]14504[/C][C]13625.9[/C][C]11401.1[/C][C]2224.74[/C][C]878.135[/C][/ROW]
[ROW][C]102[/C][C]13764[/C][C]13021.7[/C][C]10928.6[/C][C]2093.12[/C][C]742.292[/C][/ROW]
[ROW][C]103[/C][C]11042[/C][C]10862.8[/C][C]10431.7[/C][C]431.059[/C][C]179.232[/C][/ROW]
[ROW][C]104[/C][C]9646[/C][C]9638.92[/C][C]9919.67[/C][C]-280.751[/C][C]7.0841[/C][/ROW]
[ROW][C]105[/C][C]7801[/C][C]8240.56[/C][C]9428.96[/C][C]-1188.4[/C][C]-439.559[/C][/ROW]
[ROW][C]106[/C][C]5963[/C][C]7170.36[/C][C]8968.83[/C][C]-1798.48[/C][C]-1207.36[/C][/ROW]
[ROW][C]107[/C][C]6554[/C][C]7319.15[/C][C]8533.08[/C][C]-1213.94[/C][C]-765.147[/C][/ROW]
[ROW][C]108[/C][C]7359[/C][C]7887.23[/C][C]8128.21[/C][C]-240.978[/C][C]-528.231[/C][/ROW]
[ROW][C]109[/C][C]7217[/C][C]7695.45[/C][C]7775.58[/C][C]-80.1304[/C][C]-478.453[/C][/ROW]
[ROW][C]110[/C][C]5813[/C][C]6690.6[/C][C]7462.75[/C][C]-772.149[/C][C]-877.601[/C][/ROW]
[ROW][C]111[/C][C]6625[/C][C]6783.28[/C][C]7165.33[/C][C]-382.052[/C][C]-158.282[/C][/ROW]
[ROW][C]112[/C][C]8613[/C][C]8097.2[/C][C]6889.25[/C][C]1207.95[/C][C]515.802[/C][/ROW]
[ROW][C]113[/C][C]9496[/C][C]8831.7[/C][C]6606.96[/C][C]2224.74[/C][C]664.302[/C][/ROW]
[ROW][C]114[/C][C]9055[/C][C]8393.5[/C][C]6300.38[/C][C]2093.12[/C][C]661.501[/C][/ROW]
[ROW][C]115[/C][C]7288[/C][C]NA[/C][C]NA[/C][C]431.059[/C][C]NA[/C][/ROW]
[ROW][C]116[/C][C]5892[/C][C]NA[/C][C]NA[/C][C]-280.751[/C][C]NA[/C][/ROW]
[ROW][C]117[/C][C]4417[/C][C]NA[/C][C]NA[/C][C]-1188.4[/C][C]NA[/C][/ROW]
[ROW][C]118[/C][C]2721[/C][C]NA[/C][C]NA[/C][C]-1798.48[/C][C]NA[/C][/ROW]
[ROW][C]119[/C][C]3021[/C][C]NA[/C][C]NA[/C][C]-1213.94[/C][C]NA[/C][/ROW]
[ROW][C]120[/C][C]3534[/C][C]NA[/C][C]NA[/C][C]-240.978[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211040&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211040&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	36439	NA	NA	-80.1304	NA
2	36368	NA	NA	-772.149	NA
3	36290	NA	NA	-382.052	NA
4	36147	NA	NA	1207.95	NA
5	37615	NA	NA	2224.74	NA
6	37543	NA	NA	2093.12	NA
7	36439	36741.5	36310.5	431.059	-302.518
8	35705	35968.3	36249	-280.751	-263.291
9	35777	34965.6	36154	-1188.4	811.357
10	35777	34269.8	36068.2	-1798.48	1507.23
11	35848	34768.5	35982.5	-1213.94	1079.48
12	35998	35634.3	35875.3	-240.978	363.686
13	35998	35672.6	35752.7	-80.1304	325.422
14	35335	34827.1	35599.3	-772.149	507.857
15	35043	35032.9	35415	-382.052	10.0517
16	35335	36408	35200.1	1207.95	-1073.03
17	36368	37201	34976.2	2224.74	-832.99
18	36218	36864	34770.8	2093.12	-645.958
19	34822	34999.4	34568.4	431.059	-177.434
20	33640	34094.4	34375.1	-280.751	-454.374
21	33419	32996.5	34184.9	-1188.4	422.524
22	32977	32196.1	33994.6	-1798.48	780.853
23	33276	32581.2	33795.2	-1213.94	694.769
24	33640	33333.4	33574.3	-240.978	306.644
25	33497	33260.9	33341	-80.1304	236.089
26	33198	32341.8	33114	-772.149	856.191
27	32614	32502.1	32884.2	-382.052	111.885
28	33198	33834.7	32626.8	1207.95	-636.74
29	33718	34572.5	32347.8	2224.74	-854.532
30	33568	34149.7	32056.6	2093.12	-581.708
31	31873	32181	31749.9	431.059	-307.976
32	31139	31147.1	31427.8	-280.751	-8.08256
33	30405	29935.7	31124.1	-1188.4	469.274
34	29814	29065	30863.5	-1798.48	749.019
35	29743	29401.1	30615	-1213.94	341.936
36	30184	30085.5	30326.5	-240.978	98.4776
37	29593	29921.3	30001.5	-80.1304	-328.328
38	29372	28885.9	29658	-772.149	486.149
39	29151	28898.7	29280.7	-382.052	252.302
40	30405	30083.8	28875.9	1207.95	321.177
41	30548	30710.8	28486.1	2224.74	-162.823
42	29814	30204.6	28111.5	2093.12	-390.583
43	27826	28192.6	27761.5	431.059	-366.559
44	26943	27149.5	27430.2	-280.751	-206.499
45	25547	25910.6	27099	-1188.4	-363.601
46	24955	24972.2	26770.7	-1798.48	-17.2307
47	25247	25259.4	26473.3	-1213.94	-12.3557
48	25689	25980.9	26221.9	-240.978	-291.897
49	25689	25923.9	26004	-80.1304	-234.87
50	25326	25041.6	25813.8	-772.149	284.399
51	25247	25241.4	25623.5	-382.052	5.5517
52	26430	26619.8	25411.9	1207.95	-189.823
53	27385	27428.3	25203.5	2224.74	-43.2816
54	26943	27118.9	25025.8	2093.12	-175.916
55	25468	25291.3	24860.2	431.059	176.732
56	24735	24389.2	24670	-280.751	345.792
57	23189	23267	24455.4	-1188.4	-77.9761
58	22234	22445.3	24243.7	-1798.48	-211.272
59	22968	22814.9	24028.8	-1213.94	153.103
60	23702	23573.2	23814.2	-240.978	128.769
61	23702	23525.7	23605.8	-80.1304	176.297
62	22747	22616.1	23388.2	-772.149	130.899
63	22676	22757.7	23139.7	-382.052	-81.6983
64	23922	24083.8	22875.8	1207.95	-161.782
65	24735	24824.5	22599.8	2224.74	-89.49
66	24442	24420	22326.9	2093.12	21.9591
67	22968	22509.8	22078.7	431.059	458.232
68	22013	21515.9	21796.7	-280.751	497.084
69	19947	20320	21508.4	-1188.4	-373.018
70	19142	19467.7	21266.2	-1798.48	-325.731
71	19434	19822.2	21036.2	-1213.94	-388.231
72	20688	20555.6	20796.6	-240.978	132.353
73	20759	20449.4	20529.5	-80.1304	309.63
74	18921	19450.4	20222.6	-772.149	-529.434
75	19584	19533.9	19916	-382.052	50.0934
76	21201	20817.3	19609.3	1207.95	383.718
77	21935	21517.9	19293.2	2224.74	417.052
78	21493	21073.2	18980	2093.12	419.834
79	19506	19076.6	18645.5	431.059	429.441
80	18109	18024.3	18305	-280.751	84.7091
81	16492	16779.1	17967.5	-1188.4	-287.143
82	15238	15825.3	17623.8	-1798.48	-587.314
83	15751	16072.4	17286.3	-1213.94	-321.356
84	16855	16711.1	16952.1	-240.978	143.894
85	16563	16534.7	16614.9	-80.1304	28.2554
86	14946	15526.9	16299	-772.149	-580.893
87	15459	15634.7	16016.8	-382.052	-175.74
88	17076	16948.7	15740.8	1207.95	127.302
89	17960	17671.3	15446.6	2224.74	288.677
90	17447	17233.4	15140.2	2093.12	213.626
91	15459	15283.1	14852	431.059	175.899
92	14576	14313.4	14594.1	-280.751	262.626
93	13251	13147.8	14336.2	-1188.4	103.191
94	11854	12277.1	14075.6	-1798.48	-423.147
95	12075	12592.1	13806.1	-1213.94	-517.147
96	13179	13267.6	13508.6	-240.978	-88.6474
97	13322	13091	13171.1	-80.1304	231.005
98	11997	12009.5	12781.7	-772.149	-12.5177
99	12218	11967.1	12349.2	-382.052	250.885
100	14063	13084.6	11876.6	1207.95	978.427
101	14504	13625.9	11401.1	2224.74	878.135
102	13764	13021.7	10928.6	2093.12	742.292
103	11042	10862.8	10431.7	431.059	179.232
104	9646	9638.92	9919.67	-280.751	7.0841
105	7801	8240.56	9428.96	-1188.4	-439.559
106	5963	7170.36	8968.83	-1798.48	-1207.36
107	6554	7319.15	8533.08	-1213.94	-765.147
108	7359	7887.23	8128.21	-240.978	-528.231
109	7217	7695.45	7775.58	-80.1304	-478.453
110	5813	6690.6	7462.75	-772.149	-877.601
111	6625	6783.28	7165.33	-382.052	-158.282
112	8613	8097.2	6889.25	1207.95	515.802
113	9496	8831.7	6606.96	2224.74	664.302
114	9055	8393.5	6300.38	2093.12	661.501
115	7288	NA	NA	431.059	NA
116	5892	NA	NA	-280.751	NA
117	4417	NA	NA	-1188.4	NA
118	2721	NA	NA	-1798.48	NA
119	3021	NA	NA	-1213.94	NA
120	3534	NA	NA	-240.978	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 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

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