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rwasp_decompose.wasp

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Classical Decomposition

Date of computation

Tue, 15 Aug 2017 21:20:38 +0200

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Aug/15/t15028248902c8hsb3n3sq4nwo.htm/, Retrieved Mon, 20 May 2024 01:53:36 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=307314, Retrieved Mon, 20 May 2024 01:53:36 +0000

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-       [Classical Decomposition] [] [2017-08-15 19:20:38] [1a8cec710a8245ea2c14b5d40c333c7c] [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	2 seconds
R Server	Big Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=307314&T=0

[TABLE]
[ROW]

Summary of computational transaction[/C][/ROW] [ROW]

Raw Input[/C]

view raw input (R code) [/C][/ROW] [ROW]

Raw Output[/C]

view raw output of R engine [/C][/ROW] [ROW]

Computing time[/C]

2 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=307314&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=307314&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	Big Analytics Cloud Computing Center

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	247832	NA	NA	8599.86	NA
2	246909	NA	NA	543.828	NA
3	245973	NA	NA	-624.125	NA
4	244036	NA	NA	1168.13	NA
5	263198	NA	NA	14544.9	NA
6	262184	NA	NA	11401.8	NA
7	247832	245036	246297	-1261.37	2795.91
8	238290	234640	246096	-11456.1	3649.57
9	239213	245099	245896	-797.218	-5885.87
10	239213	224379	245537	-21158.9	14834.4
11	240240	240915	245298	-4383.41	-674.671
12	242086	248921	245498	3422.61	-6835.11
13	244959	254858	246258	8599.86	-9899.31
14	244959	247759	247216	543.828	-2800.41
15	243113	247588	248212	-624.125	-4474.58
16	238290	250218	249050	1168.13	-11927.8
17	263198	264193	249648	14544.9	-994.615
18	266994	261767	250365	11401.8	5226.85
19	261261	249783	251045	-1261.37	11477.7
20	247832	240028	251484	-11456.1	7803.62
21	253578	251046	251843	-797.218	2532.18
22	244959	231081	252240	-21158.9	13877.9
23	248846	248015	252398	-4383.41	831.162
24	250705	255941	252518	3422.61	-5235.56
25	252642	261357	252757	8599.86	-8715.23
26	247832	253660	253116	543.828	-5828.33
27	248846	253210	253834	-624.125	-4364.08
28	242086	255801	254633	1168.13	-13714.8
29	263198	270135	255590	14544.9	-6936.7
30	269867	268149	256747	11401.8	1717.93
31	264134	256566	257827	-1261.37	7567.99
32	253578	247251	258707	-11456.1	6327.03
33	265057	258986	259783	-797.218	6070.88
34	252642	240380	261539	-21158.9	12262.1
35	264134	258992	263376	-4383.41	5141.75
36	263198	268033	264611	3422.61	-4835.27
37	266071	273608	265008	8599.86	-7537.11
38	255515	265671	265127	543.828	-10156.2
39	266994	264703	265327	-624.125	2290.83
40	266071	266576	265408	1168.13	-505.129
41	283296	279914	265369	14544.9	3382.05
42	279409	276809	265407	11401.8	2599.76
43	264134	264343	265605	-1261.37	-209.259
44	256438	254469	265925	-11456.1	1968.78
45	266994	265248	266046	-797.218	1745.68
46	252642	244883	266042	-21158.9	7758.66
47	263198	261536	265919	-4383.41	1662.08
48	265057	268744	265321	3422.61	-3686.94
49	268944	273284	264684	8599.86	-4340.19
50	260338	264553	264009	543.828	-4214.7
51	265057	262552	263176	-624.125	2505.33
52	267930	262832	261663	1168.13	5098.41
53	278486	274175	259630	14544.9	4311.01
54	269867	269477	258075	11401.8	390.306
55	258388	255737	256998	-1261.37	2651.28
56	245973	244504	255960	-11456.1	1469.37
57	257465	253769	254566	-797.218	3696.22
58	225875	231697	252856	-21158.9	-5822.01
59	241163	246481	250864	-4383.41	-5317.84
60	249769	252095	248673	3422.61	-2326.27
61	258388	255000	246400	8599.86	3387.77
62	245973	244710	244167	543.828	1262.63
63	245973	241227	241851	-624.125	4745.67
64	245973	240623	239455	1168.13	5349.75
65	252642	251805	237260	14544.9	837.301
66	243113	246667	235265	11401.8	-3554.11
67	230607	231812	233074	-1261.37	-1205.38
68	220142	219225	230681	-11456.1	916.866
69	227734	227607	228405	-797.218	126.635
70	198094	204888	226047	-21158.9	-6794.3
71	216255	219310	223694	-4383.41	-3055.3
72	226811	225001	221578	3422.61	1809.89
73	228748	228144	219545	8599.86	603.602
74	218192	218055	217511	543.828	137.047
75	219115	215251	215875	-624.125	3864.38
76	216255	215530	214362	1168.13	724.996
77	225875	227355	212811	14544.9	-1480.49
78	219115	222858	211456	11401.8	-3742.61
79	205790	208755	210017	-1261.37	-2965.26
80	196157	196963	208419	-11456.1	-806.176
81	212446	205430	206228	-797.218	7015.55
82	177073	182441	203600	-21158.9	-5368.09
83	200044	196705	201088	-4383.41	3339.08
84	210509	201919	198496	3422.61	8590.48
85	210509	204186	195587	8599.86	6322.52
86	198094	192900	192357	543.828	5193.51
87	186615	188264	188888	-624.125	-1648.71
88	185692	186626	185458	1168.13	-934.129
89	196157	196970	182425	14544.9	-813.157
90	186615	191233	179832	11401.8	-4618.49
91	168467	176378	177640	-1261.37	-7911.22
92	155961	164270	175726	-11456.1	-8308.8
93	169390	173015	173812	-797.218	-3624.95
94	137813	151098	172257	-21158.9	-13285.1
95	166517	166477	170860	-4383.41	40.3291
96	181792	172886	169463	3422.61	8906.27
97	186615	176504	167904	8599.86	10111.5
98	176059	166414	165870	543.828	9645.46
99	162721	163015	163639	-624.125	-294
100	172263	162534	161366	1168.13	9729.12
101	176059	173796	159251	14544.9	2262.97
102	173186	168381	156979	11401.8	4805.43
103	144469	153406	154668	-1261.37	-8937.13
104	131144	140900	152356	-11456.1	-9755.59
105	140673	149085	149882	-797.218	-8411.66
106	111969	126168	147327	-21158.9	-14198.9
107	141609	140311	144694	-4383.41	1298.08
108	152165	145288	141865	3422.61	6877.19
109	160771	147440	138840	8599.86	13331.1
110	146419	136393	135849	543.828	10025.7
111	132990	132350	132974	-624.125	639.834
112	140673	131229	130061	1168.13	9444.2
113	144469	141773	127228	14544.9	2696.3
114	136877	136437	125036	11401.8	439.598
115	108173	NA	NA	-1261.37	NA
116	95667	NA	NA	-11456.1	NA
117	107146	NA	NA	-797.218	NA
118	75569	NA	NA	-21158.9	NA
119	110019	NA	NA	-4383.41	NA
120	131144	NA	NA	3422.61	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 247832 & NA & NA & 8599.86 & NA \tabularnewline
2 & 246909 & NA & NA & 543.828 & NA \tabularnewline
3 & 245973 & NA & NA & -624.125 & NA \tabularnewline
4 & 244036 & NA & NA & 1168.13 & NA \tabularnewline
5 & 263198 & NA & NA & 14544.9 & NA \tabularnewline
6 & 262184 & NA & NA & 11401.8 & NA \tabularnewline
7 & 247832 & 245036 & 246297 & -1261.37 & 2795.91 \tabularnewline
8 & 238290 & 234640 & 246096 & -11456.1 & 3649.57 \tabularnewline
9 & 239213 & 245099 & 245896 & -797.218 & -5885.87 \tabularnewline
10 & 239213 & 224379 & 245537 & -21158.9 & 14834.4 \tabularnewline
11 & 240240 & 240915 & 245298 & -4383.41 & -674.671 \tabularnewline
12 & 242086 & 248921 & 245498 & 3422.61 & -6835.11 \tabularnewline
13 & 244959 & 254858 & 246258 & 8599.86 & -9899.31 \tabularnewline
14 & 244959 & 247759 & 247216 & 543.828 & -2800.41 \tabularnewline
15 & 243113 & 247588 & 248212 & -624.125 & -4474.58 \tabularnewline
16 & 238290 & 250218 & 249050 & 1168.13 & -11927.8 \tabularnewline
17 & 263198 & 264193 & 249648 & 14544.9 & -994.615 \tabularnewline
18 & 266994 & 261767 & 250365 & 11401.8 & 5226.85 \tabularnewline
19 & 261261 & 249783 & 251045 & -1261.37 & 11477.7 \tabularnewline
20 & 247832 & 240028 & 251484 & -11456.1 & 7803.62 \tabularnewline
21 & 253578 & 251046 & 251843 & -797.218 & 2532.18 \tabularnewline
22 & 244959 & 231081 & 252240 & -21158.9 & 13877.9 \tabularnewline
23 & 248846 & 248015 & 252398 & -4383.41 & 831.162 \tabularnewline
24 & 250705 & 255941 & 252518 & 3422.61 & -5235.56 \tabularnewline
25 & 252642 & 261357 & 252757 & 8599.86 & -8715.23 \tabularnewline
26 & 247832 & 253660 & 253116 & 543.828 & -5828.33 \tabularnewline
27 & 248846 & 253210 & 253834 & -624.125 & -4364.08 \tabularnewline
28 & 242086 & 255801 & 254633 & 1168.13 & -13714.8 \tabularnewline
29 & 263198 & 270135 & 255590 & 14544.9 & -6936.7 \tabularnewline
30 & 269867 & 268149 & 256747 & 11401.8 & 1717.93 \tabularnewline
31 & 264134 & 256566 & 257827 & -1261.37 & 7567.99 \tabularnewline
32 & 253578 & 247251 & 258707 & -11456.1 & 6327.03 \tabularnewline
33 & 265057 & 258986 & 259783 & -797.218 & 6070.88 \tabularnewline
34 & 252642 & 240380 & 261539 & -21158.9 & 12262.1 \tabularnewline
35 & 264134 & 258992 & 263376 & -4383.41 & 5141.75 \tabularnewline
36 & 263198 & 268033 & 264611 & 3422.61 & -4835.27 \tabularnewline
37 & 266071 & 273608 & 265008 & 8599.86 & -7537.11 \tabularnewline
38 & 255515 & 265671 & 265127 & 543.828 & -10156.2 \tabularnewline
39 & 266994 & 264703 & 265327 & -624.125 & 2290.83 \tabularnewline
40 & 266071 & 266576 & 265408 & 1168.13 & -505.129 \tabularnewline
41 & 283296 & 279914 & 265369 & 14544.9 & 3382.05 \tabularnewline
42 & 279409 & 276809 & 265407 & 11401.8 & 2599.76 \tabularnewline
43 & 264134 & 264343 & 265605 & -1261.37 & -209.259 \tabularnewline
44 & 256438 & 254469 & 265925 & -11456.1 & 1968.78 \tabularnewline
45 & 266994 & 265248 & 266046 & -797.218 & 1745.68 \tabularnewline
46 & 252642 & 244883 & 266042 & -21158.9 & 7758.66 \tabularnewline
47 & 263198 & 261536 & 265919 & -4383.41 & 1662.08 \tabularnewline
48 & 265057 & 268744 & 265321 & 3422.61 & -3686.94 \tabularnewline
49 & 268944 & 273284 & 264684 & 8599.86 & -4340.19 \tabularnewline
50 & 260338 & 264553 & 264009 & 543.828 & -4214.7 \tabularnewline
51 & 265057 & 262552 & 263176 & -624.125 & 2505.33 \tabularnewline
52 & 267930 & 262832 & 261663 & 1168.13 & 5098.41 \tabularnewline
53 & 278486 & 274175 & 259630 & 14544.9 & 4311.01 \tabularnewline
54 & 269867 & 269477 & 258075 & 11401.8 & 390.306 \tabularnewline
55 & 258388 & 255737 & 256998 & -1261.37 & 2651.28 \tabularnewline
56 & 245973 & 244504 & 255960 & -11456.1 & 1469.37 \tabularnewline
57 & 257465 & 253769 & 254566 & -797.218 & 3696.22 \tabularnewline
58 & 225875 & 231697 & 252856 & -21158.9 & -5822.01 \tabularnewline
59 & 241163 & 246481 & 250864 & -4383.41 & -5317.84 \tabularnewline
60 & 249769 & 252095 & 248673 & 3422.61 & -2326.27 \tabularnewline
61 & 258388 & 255000 & 246400 & 8599.86 & 3387.77 \tabularnewline
62 & 245973 & 244710 & 244167 & 543.828 & 1262.63 \tabularnewline
63 & 245973 & 241227 & 241851 & -624.125 & 4745.67 \tabularnewline
64 & 245973 & 240623 & 239455 & 1168.13 & 5349.75 \tabularnewline
65 & 252642 & 251805 & 237260 & 14544.9 & 837.301 \tabularnewline
66 & 243113 & 246667 & 235265 & 11401.8 & -3554.11 \tabularnewline
67 & 230607 & 231812 & 233074 & -1261.37 & -1205.38 \tabularnewline
68 & 220142 & 219225 & 230681 & -11456.1 & 916.866 \tabularnewline
69 & 227734 & 227607 & 228405 & -797.218 & 126.635 \tabularnewline
70 & 198094 & 204888 & 226047 & -21158.9 & -6794.3 \tabularnewline
71 & 216255 & 219310 & 223694 & -4383.41 & -3055.3 \tabularnewline
72 & 226811 & 225001 & 221578 & 3422.61 & 1809.89 \tabularnewline
73 & 228748 & 228144 & 219545 & 8599.86 & 603.602 \tabularnewline
74 & 218192 & 218055 & 217511 & 543.828 & 137.047 \tabularnewline
75 & 219115 & 215251 & 215875 & -624.125 & 3864.38 \tabularnewline
76 & 216255 & 215530 & 214362 & 1168.13 & 724.996 \tabularnewline
77 & 225875 & 227355 & 212811 & 14544.9 & -1480.49 \tabularnewline
78 & 219115 & 222858 & 211456 & 11401.8 & -3742.61 \tabularnewline
79 & 205790 & 208755 & 210017 & -1261.37 & -2965.26 \tabularnewline
80 & 196157 & 196963 & 208419 & -11456.1 & -806.176 \tabularnewline
81 & 212446 & 205430 & 206228 & -797.218 & 7015.55 \tabularnewline
82 & 177073 & 182441 & 203600 & -21158.9 & -5368.09 \tabularnewline
83 & 200044 & 196705 & 201088 & -4383.41 & 3339.08 \tabularnewline
84 & 210509 & 201919 & 198496 & 3422.61 & 8590.48 \tabularnewline
85 & 210509 & 204186 & 195587 & 8599.86 & 6322.52 \tabularnewline
86 & 198094 & 192900 & 192357 & 543.828 & 5193.51 \tabularnewline
87 & 186615 & 188264 & 188888 & -624.125 & -1648.71 \tabularnewline
88 & 185692 & 186626 & 185458 & 1168.13 & -934.129 \tabularnewline
89 & 196157 & 196970 & 182425 & 14544.9 & -813.157 \tabularnewline
90 & 186615 & 191233 & 179832 & 11401.8 & -4618.49 \tabularnewline
91 & 168467 & 176378 & 177640 & -1261.37 & -7911.22 \tabularnewline
92 & 155961 & 164270 & 175726 & -11456.1 & -8308.8 \tabularnewline
93 & 169390 & 173015 & 173812 & -797.218 & -3624.95 \tabularnewline
94 & 137813 & 151098 & 172257 & -21158.9 & -13285.1 \tabularnewline
95 & 166517 & 166477 & 170860 & -4383.41 & 40.3291 \tabularnewline
96 & 181792 & 172886 & 169463 & 3422.61 & 8906.27 \tabularnewline
97 & 186615 & 176504 & 167904 & 8599.86 & 10111.5 \tabularnewline
98 & 176059 & 166414 & 165870 & 543.828 & 9645.46 \tabularnewline
99 & 162721 & 163015 & 163639 & -624.125 & -294 \tabularnewline
100 & 172263 & 162534 & 161366 & 1168.13 & 9729.12 \tabularnewline
101 & 176059 & 173796 & 159251 & 14544.9 & 2262.97 \tabularnewline
102 & 173186 & 168381 & 156979 & 11401.8 & 4805.43 \tabularnewline
103 & 144469 & 153406 & 154668 & -1261.37 & -8937.13 \tabularnewline
104 & 131144 & 140900 & 152356 & -11456.1 & -9755.59 \tabularnewline
105 & 140673 & 149085 & 149882 & -797.218 & -8411.66 \tabularnewline
106 & 111969 & 126168 & 147327 & -21158.9 & -14198.9 \tabularnewline
107 & 141609 & 140311 & 144694 & -4383.41 & 1298.08 \tabularnewline
108 & 152165 & 145288 & 141865 & 3422.61 & 6877.19 \tabularnewline
109 & 160771 & 147440 & 138840 & 8599.86 & 13331.1 \tabularnewline
110 & 146419 & 136393 & 135849 & 543.828 & 10025.7 \tabularnewline
111 & 132990 & 132350 & 132974 & -624.125 & 639.834 \tabularnewline
112 & 140673 & 131229 & 130061 & 1168.13 & 9444.2 \tabularnewline
113 & 144469 & 141773 & 127228 & 14544.9 & 2696.3 \tabularnewline
114 & 136877 & 136437 & 125036 & 11401.8 & 439.598 \tabularnewline
115 & 108173 & NA & NA & -1261.37 & NA \tabularnewline
116 & 95667 & NA & NA & -11456.1 & NA \tabularnewline
117 & 107146 & NA & NA & -797.218 & NA \tabularnewline
118 & 75569 & NA & NA & -21158.9 & NA \tabularnewline
119 & 110019 & NA & NA & -4383.41 & NA \tabularnewline
120 & 131144 & NA & NA & 3422.61 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=307314&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]247832[/C][C]NA[/C][C]NA[/C][C]8599.86[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]246909[/C][C]NA[/C][C]NA[/C][C]543.828[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]245973[/C][C]NA[/C][C]NA[/C][C]-624.125[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]244036[/C][C]NA[/C][C]NA[/C][C]1168.13[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]263198[/C][C]NA[/C][C]NA[/C][C]14544.9[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]262184[/C][C]NA[/C][C]NA[/C][C]11401.8[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]247832[/C][C]245036[/C][C]246297[/C][C]-1261.37[/C][C]2795.91[/C][/ROW]
[ROW][C]8[/C][C]238290[/C][C]234640[/C][C]246096[/C][C]-11456.1[/C][C]3649.57[/C][/ROW]
[ROW][C]9[/C][C]239213[/C][C]245099[/C][C]245896[/C][C]-797.218[/C][C]-5885.87[/C][/ROW]
[ROW][C]10[/C][C]239213[/C][C]224379[/C][C]245537[/C][C]-21158.9[/C][C]14834.4[/C][/ROW]
[ROW][C]11[/C][C]240240[/C][C]240915[/C][C]245298[/C][C]-4383.41[/C][C]-674.671[/C][/ROW]
[ROW][C]12[/C][C]242086[/C][C]248921[/C][C]245498[/C][C]3422.61[/C][C]-6835.11[/C][/ROW]
[ROW][C]13[/C][C]244959[/C][C]254858[/C][C]246258[/C][C]8599.86[/C][C]-9899.31[/C][/ROW]
[ROW][C]14[/C][C]244959[/C][C]247759[/C][C]247216[/C][C]543.828[/C][C]-2800.41[/C][/ROW]
[ROW][C]15[/C][C]243113[/C][C]247588[/C][C]248212[/C][C]-624.125[/C][C]-4474.58[/C][/ROW]
[ROW][C]16[/C][C]238290[/C][C]250218[/C][C]249050[/C][C]1168.13[/C][C]-11927.8[/C][/ROW]
[ROW][C]17[/C][C]263198[/C][C]264193[/C][C]249648[/C][C]14544.9[/C][C]-994.615[/C][/ROW]
[ROW][C]18[/C][C]266994[/C][C]261767[/C][C]250365[/C][C]11401.8[/C][C]5226.85[/C][/ROW]
[ROW][C]19[/C][C]261261[/C][C]249783[/C][C]251045[/C][C]-1261.37[/C][C]11477.7[/C][/ROW]
[ROW][C]20[/C][C]247832[/C][C]240028[/C][C]251484[/C][C]-11456.1[/C][C]7803.62[/C][/ROW]
[ROW][C]21[/C][C]253578[/C][C]251046[/C][C]251843[/C][C]-797.218[/C][C]2532.18[/C][/ROW]
[ROW][C]22[/C][C]244959[/C][C]231081[/C][C]252240[/C][C]-21158.9[/C][C]13877.9[/C][/ROW]
[ROW][C]23[/C][C]248846[/C][C]248015[/C][C]252398[/C][C]-4383.41[/C][C]831.162[/C][/ROW]
[ROW][C]24[/C][C]250705[/C][C]255941[/C][C]252518[/C][C]3422.61[/C][C]-5235.56[/C][/ROW]
[ROW][C]25[/C][C]252642[/C][C]261357[/C][C]252757[/C][C]8599.86[/C][C]-8715.23[/C][/ROW]
[ROW][C]26[/C][C]247832[/C][C]253660[/C][C]253116[/C][C]543.828[/C][C]-5828.33[/C][/ROW]
[ROW][C]27[/C][C]248846[/C][C]253210[/C][C]253834[/C][C]-624.125[/C][C]-4364.08[/C][/ROW]
[ROW][C]28[/C][C]242086[/C][C]255801[/C][C]254633[/C][C]1168.13[/C][C]-13714.8[/C][/ROW]
[ROW][C]29[/C][C]263198[/C][C]270135[/C][C]255590[/C][C]14544.9[/C][C]-6936.7[/C][/ROW]
[ROW][C]30[/C][C]269867[/C][C]268149[/C][C]256747[/C][C]11401.8[/C][C]1717.93[/C][/ROW]
[ROW][C]31[/C][C]264134[/C][C]256566[/C][C]257827[/C][C]-1261.37[/C][C]7567.99[/C][/ROW]
[ROW][C]32[/C][C]253578[/C][C]247251[/C][C]258707[/C][C]-11456.1[/C][C]6327.03[/C][/ROW]
[ROW][C]33[/C][C]265057[/C][C]258986[/C][C]259783[/C][C]-797.218[/C][C]6070.88[/C][/ROW]
[ROW][C]34[/C][C]252642[/C][C]240380[/C][C]261539[/C][C]-21158.9[/C][C]12262.1[/C][/ROW]
[ROW][C]35[/C][C]264134[/C][C]258992[/C][C]263376[/C][C]-4383.41[/C][C]5141.75[/C][/ROW]
[ROW][C]36[/C][C]263198[/C][C]268033[/C][C]264611[/C][C]3422.61[/C][C]-4835.27[/C][/ROW]
[ROW][C]37[/C][C]266071[/C][C]273608[/C][C]265008[/C][C]8599.86[/C][C]-7537.11[/C][/ROW]
[ROW][C]38[/C][C]255515[/C][C]265671[/C][C]265127[/C][C]543.828[/C][C]-10156.2[/C][/ROW]
[ROW][C]39[/C][C]266994[/C][C]264703[/C][C]265327[/C][C]-624.125[/C][C]2290.83[/C][/ROW]
[ROW][C]40[/C][C]266071[/C][C]266576[/C][C]265408[/C][C]1168.13[/C][C]-505.129[/C][/ROW]
[ROW][C]41[/C][C]283296[/C][C]279914[/C][C]265369[/C][C]14544.9[/C][C]3382.05[/C][/ROW]
[ROW][C]42[/C][C]279409[/C][C]276809[/C][C]265407[/C][C]11401.8[/C][C]2599.76[/C][/ROW]
[ROW][C]43[/C][C]264134[/C][C]264343[/C][C]265605[/C][C]-1261.37[/C][C]-209.259[/C][/ROW]
[ROW][C]44[/C][C]256438[/C][C]254469[/C][C]265925[/C][C]-11456.1[/C][C]1968.78[/C][/ROW]
[ROW][C]45[/C][C]266994[/C][C]265248[/C][C]266046[/C][C]-797.218[/C][C]1745.68[/C][/ROW]
[ROW][C]46[/C][C]252642[/C][C]244883[/C][C]266042[/C][C]-21158.9[/C][C]7758.66[/C][/ROW]
[ROW][C]47[/C][C]263198[/C][C]261536[/C][C]265919[/C][C]-4383.41[/C][C]1662.08[/C][/ROW]
[ROW][C]48[/C][C]265057[/C][C]268744[/C][C]265321[/C][C]3422.61[/C][C]-3686.94[/C][/ROW]
[ROW][C]49[/C][C]268944[/C][C]273284[/C][C]264684[/C][C]8599.86[/C][C]-4340.19[/C][/ROW]
[ROW][C]50[/C][C]260338[/C][C]264553[/C][C]264009[/C][C]543.828[/C][C]-4214.7[/C][/ROW]
[ROW][C]51[/C][C]265057[/C][C]262552[/C][C]263176[/C][C]-624.125[/C][C]2505.33[/C][/ROW]
[ROW][C]52[/C][C]267930[/C][C]262832[/C][C]261663[/C][C]1168.13[/C][C]5098.41[/C][/ROW]
[ROW][C]53[/C][C]278486[/C][C]274175[/C][C]259630[/C][C]14544.9[/C][C]4311.01[/C][/ROW]
[ROW][C]54[/C][C]269867[/C][C]269477[/C][C]258075[/C][C]11401.8[/C][C]390.306[/C][/ROW]
[ROW][C]55[/C][C]258388[/C][C]255737[/C][C]256998[/C][C]-1261.37[/C][C]2651.28[/C][/ROW]
[ROW][C]56[/C][C]245973[/C][C]244504[/C][C]255960[/C][C]-11456.1[/C][C]1469.37[/C][/ROW]
[ROW][C]57[/C][C]257465[/C][C]253769[/C][C]254566[/C][C]-797.218[/C][C]3696.22[/C][/ROW]
[ROW][C]58[/C][C]225875[/C][C]231697[/C][C]252856[/C][C]-21158.9[/C][C]-5822.01[/C][/ROW]
[ROW][C]59[/C][C]241163[/C][C]246481[/C][C]250864[/C][C]-4383.41[/C][C]-5317.84[/C][/ROW]
[ROW][C]60[/C][C]249769[/C][C]252095[/C][C]248673[/C][C]3422.61[/C][C]-2326.27[/C][/ROW]
[ROW][C]61[/C][C]258388[/C][C]255000[/C][C]246400[/C][C]8599.86[/C][C]3387.77[/C][/ROW]
[ROW][C]62[/C][C]245973[/C][C]244710[/C][C]244167[/C][C]543.828[/C][C]1262.63[/C][/ROW]
[ROW][C]63[/C][C]245973[/C][C]241227[/C][C]241851[/C][C]-624.125[/C][C]4745.67[/C][/ROW]
[ROW][C]64[/C][C]245973[/C][C]240623[/C][C]239455[/C][C]1168.13[/C][C]5349.75[/C][/ROW]
[ROW][C]65[/C][C]252642[/C][C]251805[/C][C]237260[/C][C]14544.9[/C][C]837.301[/C][/ROW]
[ROW][C]66[/C][C]243113[/C][C]246667[/C][C]235265[/C][C]11401.8[/C][C]-3554.11[/C][/ROW]
[ROW][C]67[/C][C]230607[/C][C]231812[/C][C]233074[/C][C]-1261.37[/C][C]-1205.38[/C][/ROW]
[ROW][C]68[/C][C]220142[/C][C]219225[/C][C]230681[/C][C]-11456.1[/C][C]916.866[/C][/ROW]
[ROW][C]69[/C][C]227734[/C][C]227607[/C][C]228405[/C][C]-797.218[/C][C]126.635[/C][/ROW]
[ROW][C]70[/C][C]198094[/C][C]204888[/C][C]226047[/C][C]-21158.9[/C][C]-6794.3[/C][/ROW]
[ROW][C]71[/C][C]216255[/C][C]219310[/C][C]223694[/C][C]-4383.41[/C][C]-3055.3[/C][/ROW]
[ROW][C]72[/C][C]226811[/C][C]225001[/C][C]221578[/C][C]3422.61[/C][C]1809.89[/C][/ROW]
[ROW][C]73[/C][C]228748[/C][C]228144[/C][C]219545[/C][C]8599.86[/C][C]603.602[/C][/ROW]
[ROW][C]74[/C][C]218192[/C][C]218055[/C][C]217511[/C][C]543.828[/C][C]137.047[/C][/ROW]
[ROW][C]75[/C][C]219115[/C][C]215251[/C][C]215875[/C][C]-624.125[/C][C]3864.38[/C][/ROW]
[ROW][C]76[/C][C]216255[/C][C]215530[/C][C]214362[/C][C]1168.13[/C][C]724.996[/C][/ROW]
[ROW][C]77[/C][C]225875[/C][C]227355[/C][C]212811[/C][C]14544.9[/C][C]-1480.49[/C][/ROW]
[ROW][C]78[/C][C]219115[/C][C]222858[/C][C]211456[/C][C]11401.8[/C][C]-3742.61[/C][/ROW]
[ROW][C]79[/C][C]205790[/C][C]208755[/C][C]210017[/C][C]-1261.37[/C][C]-2965.26[/C][/ROW]
[ROW][C]80[/C][C]196157[/C][C]196963[/C][C]208419[/C][C]-11456.1[/C][C]-806.176[/C][/ROW]
[ROW][C]81[/C][C]212446[/C][C]205430[/C][C]206228[/C][C]-797.218[/C][C]7015.55[/C][/ROW]
[ROW][C]82[/C][C]177073[/C][C]182441[/C][C]203600[/C][C]-21158.9[/C][C]-5368.09[/C][/ROW]
[ROW][C]83[/C][C]200044[/C][C]196705[/C][C]201088[/C][C]-4383.41[/C][C]3339.08[/C][/ROW]
[ROW][C]84[/C][C]210509[/C][C]201919[/C][C]198496[/C][C]3422.61[/C][C]8590.48[/C][/ROW]
[ROW][C]85[/C][C]210509[/C][C]204186[/C][C]195587[/C][C]8599.86[/C][C]6322.52[/C][/ROW]
[ROW][C]86[/C][C]198094[/C][C]192900[/C][C]192357[/C][C]543.828[/C][C]5193.51[/C][/ROW]
[ROW][C]87[/C][C]186615[/C][C]188264[/C][C]188888[/C][C]-624.125[/C][C]-1648.71[/C][/ROW]
[ROW][C]88[/C][C]185692[/C][C]186626[/C][C]185458[/C][C]1168.13[/C][C]-934.129[/C][/ROW]
[ROW][C]89[/C][C]196157[/C][C]196970[/C][C]182425[/C][C]14544.9[/C][C]-813.157[/C][/ROW]
[ROW][C]90[/C][C]186615[/C][C]191233[/C][C]179832[/C][C]11401.8[/C][C]-4618.49[/C][/ROW]
[ROW][C]91[/C][C]168467[/C][C]176378[/C][C]177640[/C][C]-1261.37[/C][C]-7911.22[/C][/ROW]
[ROW][C]92[/C][C]155961[/C][C]164270[/C][C]175726[/C][C]-11456.1[/C][C]-8308.8[/C][/ROW]
[ROW][C]93[/C][C]169390[/C][C]173015[/C][C]173812[/C][C]-797.218[/C][C]-3624.95[/C][/ROW]
[ROW][C]94[/C][C]137813[/C][C]151098[/C][C]172257[/C][C]-21158.9[/C][C]-13285.1[/C][/ROW]
[ROW][C]95[/C][C]166517[/C][C]166477[/C][C]170860[/C][C]-4383.41[/C][C]40.3291[/C][/ROW]
[ROW][C]96[/C][C]181792[/C][C]172886[/C][C]169463[/C][C]3422.61[/C][C]8906.27[/C][/ROW]
[ROW][C]97[/C][C]186615[/C][C]176504[/C][C]167904[/C][C]8599.86[/C][C]10111.5[/C][/ROW]
[ROW][C]98[/C][C]176059[/C][C]166414[/C][C]165870[/C][C]543.828[/C][C]9645.46[/C][/ROW]
[ROW][C]99[/C][C]162721[/C][C]163015[/C][C]163639[/C][C]-624.125[/C][C]-294[/C][/ROW]
[ROW][C]100[/C][C]172263[/C][C]162534[/C][C]161366[/C][C]1168.13[/C][C]9729.12[/C][/ROW]
[ROW][C]101[/C][C]176059[/C][C]173796[/C][C]159251[/C][C]14544.9[/C][C]2262.97[/C][/ROW]
[ROW][C]102[/C][C]173186[/C][C]168381[/C][C]156979[/C][C]11401.8[/C][C]4805.43[/C][/ROW]
[ROW][C]103[/C][C]144469[/C][C]153406[/C][C]154668[/C][C]-1261.37[/C][C]-8937.13[/C][/ROW]
[ROW][C]104[/C][C]131144[/C][C]140900[/C][C]152356[/C][C]-11456.1[/C][C]-9755.59[/C][/ROW]
[ROW][C]105[/C][C]140673[/C][C]149085[/C][C]149882[/C][C]-797.218[/C][C]-8411.66[/C][/ROW]
[ROW][C]106[/C][C]111969[/C][C]126168[/C][C]147327[/C][C]-21158.9[/C][C]-14198.9[/C][/ROW]
[ROW][C]107[/C][C]141609[/C][C]140311[/C][C]144694[/C][C]-4383.41[/C][C]1298.08[/C][/ROW]
[ROW][C]108[/C][C]152165[/C][C]145288[/C][C]141865[/C][C]3422.61[/C][C]6877.19[/C][/ROW]
[ROW][C]109[/C][C]160771[/C][C]147440[/C][C]138840[/C][C]8599.86[/C][C]13331.1[/C][/ROW]
[ROW][C]110[/C][C]146419[/C][C]136393[/C][C]135849[/C][C]543.828[/C][C]10025.7[/C][/ROW]
[ROW][C]111[/C][C]132990[/C][C]132350[/C][C]132974[/C][C]-624.125[/C][C]639.834[/C][/ROW]
[ROW][C]112[/C][C]140673[/C][C]131229[/C][C]130061[/C][C]1168.13[/C][C]9444.2[/C][/ROW]
[ROW][C]113[/C][C]144469[/C][C]141773[/C][C]127228[/C][C]14544.9[/C][C]2696.3[/C][/ROW]
[ROW][C]114[/C][C]136877[/C][C]136437[/C][C]125036[/C][C]11401.8[/C][C]439.598[/C][/ROW]
[ROW][C]115[/C][C]108173[/C][C]NA[/C][C]NA[/C][C]-1261.37[/C][C]NA[/C][/ROW]
[ROW][C]116[/C][C]95667[/C][C]NA[/C][C]NA[/C][C]-11456.1[/C][C]NA[/C][/ROW]
[ROW][C]117[/C][C]107146[/C][C]NA[/C][C]NA[/C][C]-797.218[/C][C]NA[/C][/ROW]
[ROW][C]118[/C][C]75569[/C][C]NA[/C][C]NA[/C][C]-21158.9[/C][C]NA[/C][/ROW]
[ROW][C]119[/C][C]110019[/C][C]NA[/C][C]NA[/C][C]-4383.41[/C][C]NA[/C][/ROW]
[ROW][C]120[/C][C]131144[/C][C]NA[/C][C]NA[/C][C]3422.61[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=307314&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=307314&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	247832	NA	NA	8599.86	NA
2	246909	NA	NA	543.828	NA
3	245973	NA	NA	-624.125	NA
4	244036	NA	NA	1168.13	NA
5	263198	NA	NA	14544.9	NA
6	262184	NA	NA	11401.8	NA
7	247832	245036	246297	-1261.37	2795.91
8	238290	234640	246096	-11456.1	3649.57
9	239213	245099	245896	-797.218	-5885.87
10	239213	224379	245537	-21158.9	14834.4
11	240240	240915	245298	-4383.41	-674.671
12	242086	248921	245498	3422.61	-6835.11
13	244959	254858	246258	8599.86	-9899.31
14	244959	247759	247216	543.828	-2800.41
15	243113	247588	248212	-624.125	-4474.58
16	238290	250218	249050	1168.13	-11927.8
17	263198	264193	249648	14544.9	-994.615
18	266994	261767	250365	11401.8	5226.85
19	261261	249783	251045	-1261.37	11477.7
20	247832	240028	251484	-11456.1	7803.62
21	253578	251046	251843	-797.218	2532.18
22	244959	231081	252240	-21158.9	13877.9
23	248846	248015	252398	-4383.41	831.162
24	250705	255941	252518	3422.61	-5235.56
25	252642	261357	252757	8599.86	-8715.23
26	247832	253660	253116	543.828	-5828.33
27	248846	253210	253834	-624.125	-4364.08
28	242086	255801	254633	1168.13	-13714.8
29	263198	270135	255590	14544.9	-6936.7
30	269867	268149	256747	11401.8	1717.93
31	264134	256566	257827	-1261.37	7567.99
32	253578	247251	258707	-11456.1	6327.03
33	265057	258986	259783	-797.218	6070.88
34	252642	240380	261539	-21158.9	12262.1
35	264134	258992	263376	-4383.41	5141.75
36	263198	268033	264611	3422.61	-4835.27
37	266071	273608	265008	8599.86	-7537.11
38	255515	265671	265127	543.828	-10156.2
39	266994	264703	265327	-624.125	2290.83
40	266071	266576	265408	1168.13	-505.129
41	283296	279914	265369	14544.9	3382.05
42	279409	276809	265407	11401.8	2599.76
43	264134	264343	265605	-1261.37	-209.259
44	256438	254469	265925	-11456.1	1968.78
45	266994	265248	266046	-797.218	1745.68
46	252642	244883	266042	-21158.9	7758.66
47	263198	261536	265919	-4383.41	1662.08
48	265057	268744	265321	3422.61	-3686.94
49	268944	273284	264684	8599.86	-4340.19
50	260338	264553	264009	543.828	-4214.7
51	265057	262552	263176	-624.125	2505.33
52	267930	262832	261663	1168.13	5098.41
53	278486	274175	259630	14544.9	4311.01
54	269867	269477	258075	11401.8	390.306
55	258388	255737	256998	-1261.37	2651.28
56	245973	244504	255960	-11456.1	1469.37
57	257465	253769	254566	-797.218	3696.22
58	225875	231697	252856	-21158.9	-5822.01
59	241163	246481	250864	-4383.41	-5317.84
60	249769	252095	248673	3422.61	-2326.27
61	258388	255000	246400	8599.86	3387.77
62	245973	244710	244167	543.828	1262.63
63	245973	241227	241851	-624.125	4745.67
64	245973	240623	239455	1168.13	5349.75
65	252642	251805	237260	14544.9	837.301
66	243113	246667	235265	11401.8	-3554.11
67	230607	231812	233074	-1261.37	-1205.38
68	220142	219225	230681	-11456.1	916.866
69	227734	227607	228405	-797.218	126.635
70	198094	204888	226047	-21158.9	-6794.3
71	216255	219310	223694	-4383.41	-3055.3
72	226811	225001	221578	3422.61	1809.89
73	228748	228144	219545	8599.86	603.602
74	218192	218055	217511	543.828	137.047
75	219115	215251	215875	-624.125	3864.38
76	216255	215530	214362	1168.13	724.996
77	225875	227355	212811	14544.9	-1480.49
78	219115	222858	211456	11401.8	-3742.61
79	205790	208755	210017	-1261.37	-2965.26
80	196157	196963	208419	-11456.1	-806.176
81	212446	205430	206228	-797.218	7015.55
82	177073	182441	203600	-21158.9	-5368.09
83	200044	196705	201088	-4383.41	3339.08
84	210509	201919	198496	3422.61	8590.48
85	210509	204186	195587	8599.86	6322.52
86	198094	192900	192357	543.828	5193.51
87	186615	188264	188888	-624.125	-1648.71
88	185692	186626	185458	1168.13	-934.129
89	196157	196970	182425	14544.9	-813.157
90	186615	191233	179832	11401.8	-4618.49
91	168467	176378	177640	-1261.37	-7911.22
92	155961	164270	175726	-11456.1	-8308.8
93	169390	173015	173812	-797.218	-3624.95
94	137813	151098	172257	-21158.9	-13285.1
95	166517	166477	170860	-4383.41	40.3291
96	181792	172886	169463	3422.61	8906.27
97	186615	176504	167904	8599.86	10111.5
98	176059	166414	165870	543.828	9645.46
99	162721	163015	163639	-624.125	-294
100	172263	162534	161366	1168.13	9729.12
101	176059	173796	159251	14544.9	2262.97
102	173186	168381	156979	11401.8	4805.43
103	144469	153406	154668	-1261.37	-8937.13
104	131144	140900	152356	-11456.1	-9755.59
105	140673	149085	149882	-797.218	-8411.66
106	111969	126168	147327	-21158.9	-14198.9
107	141609	140311	144694	-4383.41	1298.08
108	152165	145288	141865	3422.61	6877.19
109	160771	147440	138840	8599.86	13331.1
110	146419	136393	135849	543.828	10025.7
111	132990	132350	132974	-624.125	639.834
112	140673	131229	130061	1168.13	9444.2
113	144469	141773	127228	14544.9	2696.3
114	136877	136437	125036	11401.8	439.598
115	108173	NA	NA	-1261.37	NA
116	95667	NA	NA	-11456.1	NA
117	107146	NA	NA	-797.218	NA
118	75569	NA	NA	-21158.9	NA
119	110019	NA	NA	-4383.41	NA
120	131144	NA	NA	3422.61	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):

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