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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Tue, 05 Aug 2014 15:26:32 +0100

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Aug/05/t1407249254v1jne7q7errgwpx.htm/, Retrieved Thu, 16 May 2024 10:26:37 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=235412, Retrieved Thu, 16 May 2024 10:26:37 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Ines Van Dessel

Estimated Impact

131

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

-     [Histogram] [Tijdreeks 1 - Stap 3] [2014-08-03 19:11:32] [ae3d1feb555b13e324db089723206180]
- R P   [Histogram] [Tijdreeks 1 - Stap 5] [2014-08-04 09:44:37] [74be16979710d4c4e7c6647856088456]
-   P     [Histogram] [Tijdreeks 1 - Stap 5] [2014-08-04 09:47:49] [74be16979710d4c4e7c6647856088456]
- RMP       [(Partial) Autocorrelation Function] [Tijdreeks 1 - Sta...] [2014-08-04 16:49:46] [ae3d1feb555b13e324db089723206180]
- R P         [(Partial) Autocorrelation Function] [Tijdreeks 1 - Sta...] [2014-08-05 08:15:03] [74be16979710d4c4e7c6647856088456]
- RMPD          [Harrell-Davis Quantiles] [Tijdreeks 2 - Stap 6] [2014-08-05 08:50:48] [ae3d1feb555b13e324db089723206180]
- RMP             [(Partial) Autocorrelation Function] [Tijdreeks 2 - Sta...] [2014-08-05 13:41:38] [ae3d1feb555b13e324db089723206180]
- RM                  [Classical Decomposition] [Tijdreeks 2 - Sta...] [2014-08-05 14:26:32] [188bf81caccb86647293be436f272d1b] [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	2 seconds
R Server	'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235412&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235412&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235412&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	'George Udny Yule' @ yule.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	340	NA	NA	-104.611	NA
2	307	NA	NA	-47.6892	NA
3	380	NA	NA	72.9774	NA
4	347	NA	NA	-97.0538	NA
5	313	NA	NA	29.217	NA
6	333	NA	NA	86.6076	NA
7	347	330.509	344.792	-14.283	16.4913
8	333	367.628	341.167	26.4618	-34.6285
9	387	373.457	338.917	34.5399	13.5434
10	307	344.618	337.792	6.82639	-37.6181
11	353	263.915	338.333	-74.4184	89.0851
12	407	422.259	340.833	81.4253	-15.2587
13	307	238.722	343.333	-104.611	68.2778
14	253	295.102	342.792	-47.6892	-42.1024
15	380	413.561	340.583	72.9774	-33.5608
16	320	243.53	340.583	-97.0538	76.4705
17	353	369.55	340.333	29.217	-16.5503
18	353	427.524	340.917	86.6076	-74.5243
19	387	325.217	339.5	-14.283	61.783
20	280	363.17	336.708	26.4618	-83.1701
21	387	371.832	337.292	34.5399	15.1684
22	307	344.118	337.292	6.82639	-37.1181
23	347	261.498	335.917	-74.4184	85.5017
24	427	417.384	335.958	81.4253	9.61632
25	253	231.639	336.25	-104.611	21.3611
26	240	286.894	334.583	-47.6892	-46.8941
27	407	403.644	330.667	72.9774	3.3559
28	293	233.28	330.333	-97.0538	59.7205
29	347	360.05	330.833	29.217	-13.0503
30	360	416.566	329.958	86.6076	-56.566
31	387	317.05	331.333	-14.283	69.9497
32	240	358.628	332.167	26.4618	-118.628
33	333	366.707	332.167	34.5399	-33.7066
34	353	336.785	329.958	6.82639	16.2153
35	313	253.873	328.292	-74.4184	59.1267
36	440	410.8	329.375	81.4253	29.1997
37	273	225.306	329.917	-104.611	47.6944
38	240	285.561	333.25	-47.6892	-45.5608
39	407	411.227	338.25	72.9774	-4.22743
40	240	243.696	340.75	-97.0538	-3.69618
41	360	368.592	339.375	29.217	-8.59201
42	373	422.941	336.333	86.6076	-49.941
43	387	320.384	334.667	-14.283	66.6163
44	320	362.503	336.042	26.4618	-42.5035
45	373	373.04	338.5	34.5399	-0.0399306
46	373	344.201	337.375	6.82639	28.7986
47	260	260.457	334.875	-74.4184	-0.456597
48	420	417.967	336.542	81.4253	2.03299
49	253	230.264	334.875	-104.611	22.7361
50	293	284.686	332.375	-47.6892	8.31424
51	413	407.602	334.625	72.9774	5.39757
52	207	237.863	334.917	-97.0538	-30.8628
53	333	361.342	332.125	29.217	-28.342
54	440	413.983	327.375	86.6076	26.0174
55	280	309.467	323.75	-14.283	-29.467
56	367	348.545	322.083	26.4618	18.4549
57	380	356.373	321.833	34.5399	23.6267
58	373	326.743	319.917	6.82639	46.2569
59	193	244.123	318.542	-74.4184	-51.1233
60	373	400.55	319.125	81.4253	-27.5503
61	213	212.847	317.458	-104.611	0.152778
62	293	268.894	316.583	-47.6892	24.1059
63	407	388.686	315.708	72.9774	18.3142
64	167	215.863	312.917	-97.0538	-48.8628
65	340	341.592	312.375	29.217	-1.59201
66	447	400.941	314.333	86.6076	46.059
67	233	300.634	314.917	-14.283	-67.6337
68	393	340.587	314.125	26.4618	52.4132
69	333	349.207	314.667	34.5399	-16.2066
70	353	323.66	316.833	6.82639	29.3403
71	200	245.707	320.125	-74.4184	-45.7066
72	413	403.175	321.75	81.4253	9.82465
73	187	217.972	322.583	-104.611	-30.9722
74	300	277.727	325.417	-47.6892	22.2726
75	413	400.936	327.958	72.9774	12.0642
76	213	229.821	326.875	-97.0538	-16.8212
77	373	354.175	324.958	29.217	18.8247
78	453	409.649	323.042	86.6076	43.3507
79	247	306.259	320.542	-14.283	-59.2587
80	447	346.17	319.708	26.4618	100.83
81	340	353.998	319.458	34.5399	-13.9983
82	320	325.743	318.917	6.82639	-5.74306
83	187	244.79	319.208	-74.4184	-57.7899
84	380	400.925	319.5	81.4253	-20.9253
85	160	215.431	320.042	-104.611	-55.4306
86	307	273.727	321.417	-47.6892	33.2726
87	400	396.894	323.917	72.9774	3.1059
88	213	227.696	324.75	-97.0538	-14.6962
89	380	352.842	323.625	29.217	27.158
90	453	411.899	325.292	86.6076	41.1007
91	260	312.675	326.958	-14.283	-52.6753
92	467	353.962	327.5	26.4618	113.038
93	380	362.582	328.042	34.5399	17.4184
94	300	334.326	327.5	6.82639	-34.3264
95	180	252.832	327.25	-74.4184	-72.8316
96	427	408.134	326.708	81.4253	18.8663
97	153	221.014	325.625	-104.611	-68.0139
98	327	274.602	322.292	-47.6892	52.3976
99	393	391.644	318.667	72.9774	1.3559
100	207	222.446	319.5	-97.0538	-15.4462
101	380	352.05	322.833	29.217	27.9497
102	440	409.691	323.083	86.6076	30.309
103	247	NA	NA	-14.283	NA
104	400	NA	NA	26.4618	NA
105	360	NA	NA	34.5399	NA
106	340	NA	NA	6.82639	NA
107	220	NA	NA	-74.4184	NA
108	393	NA	NA	81.4253	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 340 & NA & NA & -104.611 & NA \tabularnewline
2 & 307 & NA & NA & -47.6892 & NA \tabularnewline
3 & 380 & NA & NA & 72.9774 & NA \tabularnewline
4 & 347 & NA & NA & -97.0538 & NA \tabularnewline
5 & 313 & NA & NA & 29.217 & NA \tabularnewline
6 & 333 & NA & NA & 86.6076 & NA \tabularnewline
7 & 347 & 330.509 & 344.792 & -14.283 & 16.4913 \tabularnewline
8 & 333 & 367.628 & 341.167 & 26.4618 & -34.6285 \tabularnewline
9 & 387 & 373.457 & 338.917 & 34.5399 & 13.5434 \tabularnewline
10 & 307 & 344.618 & 337.792 & 6.82639 & -37.6181 \tabularnewline
11 & 353 & 263.915 & 338.333 & -74.4184 & 89.0851 \tabularnewline
12 & 407 & 422.259 & 340.833 & 81.4253 & -15.2587 \tabularnewline
13 & 307 & 238.722 & 343.333 & -104.611 & 68.2778 \tabularnewline
14 & 253 & 295.102 & 342.792 & -47.6892 & -42.1024 \tabularnewline
15 & 380 & 413.561 & 340.583 & 72.9774 & -33.5608 \tabularnewline
16 & 320 & 243.53 & 340.583 & -97.0538 & 76.4705 \tabularnewline
17 & 353 & 369.55 & 340.333 & 29.217 & -16.5503 \tabularnewline
18 & 353 & 427.524 & 340.917 & 86.6076 & -74.5243 \tabularnewline
19 & 387 & 325.217 & 339.5 & -14.283 & 61.783 \tabularnewline
20 & 280 & 363.17 & 336.708 & 26.4618 & -83.1701 \tabularnewline
21 & 387 & 371.832 & 337.292 & 34.5399 & 15.1684 \tabularnewline
22 & 307 & 344.118 & 337.292 & 6.82639 & -37.1181 \tabularnewline
23 & 347 & 261.498 & 335.917 & -74.4184 & 85.5017 \tabularnewline
24 & 427 & 417.384 & 335.958 & 81.4253 & 9.61632 \tabularnewline
25 & 253 & 231.639 & 336.25 & -104.611 & 21.3611 \tabularnewline
26 & 240 & 286.894 & 334.583 & -47.6892 & -46.8941 \tabularnewline
27 & 407 & 403.644 & 330.667 & 72.9774 & 3.3559 \tabularnewline
28 & 293 & 233.28 & 330.333 & -97.0538 & 59.7205 \tabularnewline
29 & 347 & 360.05 & 330.833 & 29.217 & -13.0503 \tabularnewline
30 & 360 & 416.566 & 329.958 & 86.6076 & -56.566 \tabularnewline
31 & 387 & 317.05 & 331.333 & -14.283 & 69.9497 \tabularnewline
32 & 240 & 358.628 & 332.167 & 26.4618 & -118.628 \tabularnewline
33 & 333 & 366.707 & 332.167 & 34.5399 & -33.7066 \tabularnewline
34 & 353 & 336.785 & 329.958 & 6.82639 & 16.2153 \tabularnewline
35 & 313 & 253.873 & 328.292 & -74.4184 & 59.1267 \tabularnewline
36 & 440 & 410.8 & 329.375 & 81.4253 & 29.1997 \tabularnewline
37 & 273 & 225.306 & 329.917 & -104.611 & 47.6944 \tabularnewline
38 & 240 & 285.561 & 333.25 & -47.6892 & -45.5608 \tabularnewline
39 & 407 & 411.227 & 338.25 & 72.9774 & -4.22743 \tabularnewline
40 & 240 & 243.696 & 340.75 & -97.0538 & -3.69618 \tabularnewline
41 & 360 & 368.592 & 339.375 & 29.217 & -8.59201 \tabularnewline
42 & 373 & 422.941 & 336.333 & 86.6076 & -49.941 \tabularnewline
43 & 387 & 320.384 & 334.667 & -14.283 & 66.6163 \tabularnewline
44 & 320 & 362.503 & 336.042 & 26.4618 & -42.5035 \tabularnewline
45 & 373 & 373.04 & 338.5 & 34.5399 & -0.0399306 \tabularnewline
46 & 373 & 344.201 & 337.375 & 6.82639 & 28.7986 \tabularnewline
47 & 260 & 260.457 & 334.875 & -74.4184 & -0.456597 \tabularnewline
48 & 420 & 417.967 & 336.542 & 81.4253 & 2.03299 \tabularnewline
49 & 253 & 230.264 & 334.875 & -104.611 & 22.7361 \tabularnewline
50 & 293 & 284.686 & 332.375 & -47.6892 & 8.31424 \tabularnewline
51 & 413 & 407.602 & 334.625 & 72.9774 & 5.39757 \tabularnewline
52 & 207 & 237.863 & 334.917 & -97.0538 & -30.8628 \tabularnewline
53 & 333 & 361.342 & 332.125 & 29.217 & -28.342 \tabularnewline
54 & 440 & 413.983 & 327.375 & 86.6076 & 26.0174 \tabularnewline
55 & 280 & 309.467 & 323.75 & -14.283 & -29.467 \tabularnewline
56 & 367 & 348.545 & 322.083 & 26.4618 & 18.4549 \tabularnewline
57 & 380 & 356.373 & 321.833 & 34.5399 & 23.6267 \tabularnewline
58 & 373 & 326.743 & 319.917 & 6.82639 & 46.2569 \tabularnewline
59 & 193 & 244.123 & 318.542 & -74.4184 & -51.1233 \tabularnewline
60 & 373 & 400.55 & 319.125 & 81.4253 & -27.5503 \tabularnewline
61 & 213 & 212.847 & 317.458 & -104.611 & 0.152778 \tabularnewline
62 & 293 & 268.894 & 316.583 & -47.6892 & 24.1059 \tabularnewline
63 & 407 & 388.686 & 315.708 & 72.9774 & 18.3142 \tabularnewline
64 & 167 & 215.863 & 312.917 & -97.0538 & -48.8628 \tabularnewline
65 & 340 & 341.592 & 312.375 & 29.217 & -1.59201 \tabularnewline
66 & 447 & 400.941 & 314.333 & 86.6076 & 46.059 \tabularnewline
67 & 233 & 300.634 & 314.917 & -14.283 & -67.6337 \tabularnewline
68 & 393 & 340.587 & 314.125 & 26.4618 & 52.4132 \tabularnewline
69 & 333 & 349.207 & 314.667 & 34.5399 & -16.2066 \tabularnewline
70 & 353 & 323.66 & 316.833 & 6.82639 & 29.3403 \tabularnewline
71 & 200 & 245.707 & 320.125 & -74.4184 & -45.7066 \tabularnewline
72 & 413 & 403.175 & 321.75 & 81.4253 & 9.82465 \tabularnewline
73 & 187 & 217.972 & 322.583 & -104.611 & -30.9722 \tabularnewline
74 & 300 & 277.727 & 325.417 & -47.6892 & 22.2726 \tabularnewline
75 & 413 & 400.936 & 327.958 & 72.9774 & 12.0642 \tabularnewline
76 & 213 & 229.821 & 326.875 & -97.0538 & -16.8212 \tabularnewline
77 & 373 & 354.175 & 324.958 & 29.217 & 18.8247 \tabularnewline
78 & 453 & 409.649 & 323.042 & 86.6076 & 43.3507 \tabularnewline
79 & 247 & 306.259 & 320.542 & -14.283 & -59.2587 \tabularnewline
80 & 447 & 346.17 & 319.708 & 26.4618 & 100.83 \tabularnewline
81 & 340 & 353.998 & 319.458 & 34.5399 & -13.9983 \tabularnewline
82 & 320 & 325.743 & 318.917 & 6.82639 & -5.74306 \tabularnewline
83 & 187 & 244.79 & 319.208 & -74.4184 & -57.7899 \tabularnewline
84 & 380 & 400.925 & 319.5 & 81.4253 & -20.9253 \tabularnewline
85 & 160 & 215.431 & 320.042 & -104.611 & -55.4306 \tabularnewline
86 & 307 & 273.727 & 321.417 & -47.6892 & 33.2726 \tabularnewline
87 & 400 & 396.894 & 323.917 & 72.9774 & 3.1059 \tabularnewline
88 & 213 & 227.696 & 324.75 & -97.0538 & -14.6962 \tabularnewline
89 & 380 & 352.842 & 323.625 & 29.217 & 27.158 \tabularnewline
90 & 453 & 411.899 & 325.292 & 86.6076 & 41.1007 \tabularnewline
91 & 260 & 312.675 & 326.958 & -14.283 & -52.6753 \tabularnewline
92 & 467 & 353.962 & 327.5 & 26.4618 & 113.038 \tabularnewline
93 & 380 & 362.582 & 328.042 & 34.5399 & 17.4184 \tabularnewline
94 & 300 & 334.326 & 327.5 & 6.82639 & -34.3264 \tabularnewline
95 & 180 & 252.832 & 327.25 & -74.4184 & -72.8316 \tabularnewline
96 & 427 & 408.134 & 326.708 & 81.4253 & 18.8663 \tabularnewline
97 & 153 & 221.014 & 325.625 & -104.611 & -68.0139 \tabularnewline
98 & 327 & 274.602 & 322.292 & -47.6892 & 52.3976 \tabularnewline
99 & 393 & 391.644 & 318.667 & 72.9774 & 1.3559 \tabularnewline
100 & 207 & 222.446 & 319.5 & -97.0538 & -15.4462 \tabularnewline
101 & 380 & 352.05 & 322.833 & 29.217 & 27.9497 \tabularnewline
102 & 440 & 409.691 & 323.083 & 86.6076 & 30.309 \tabularnewline
103 & 247 & NA & NA & -14.283 & NA \tabularnewline
104 & 400 & NA & NA & 26.4618 & NA \tabularnewline
105 & 360 & NA & NA & 34.5399 & NA \tabularnewline
106 & 340 & NA & NA & 6.82639 & NA \tabularnewline
107 & 220 & NA & NA & -74.4184 & NA \tabularnewline
108 & 393 & NA & NA & 81.4253 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235412&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]340[/C][C]NA[/C][C]NA[/C][C]-104.611[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]307[/C][C]NA[/C][C]NA[/C][C]-47.6892[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]380[/C][C]NA[/C][C]NA[/C][C]72.9774[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]347[/C][C]NA[/C][C]NA[/C][C]-97.0538[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]313[/C][C]NA[/C][C]NA[/C][C]29.217[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]333[/C][C]NA[/C][C]NA[/C][C]86.6076[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]347[/C][C]330.509[/C][C]344.792[/C][C]-14.283[/C][C]16.4913[/C][/ROW]
[ROW][C]8[/C][C]333[/C][C]367.628[/C][C]341.167[/C][C]26.4618[/C][C]-34.6285[/C][/ROW]
[ROW][C]9[/C][C]387[/C][C]373.457[/C][C]338.917[/C][C]34.5399[/C][C]13.5434[/C][/ROW]
[ROW][C]10[/C][C]307[/C][C]344.618[/C][C]337.792[/C][C]6.82639[/C][C]-37.6181[/C][/ROW]
[ROW][C]11[/C][C]353[/C][C]263.915[/C][C]338.333[/C][C]-74.4184[/C][C]89.0851[/C][/ROW]
[ROW][C]12[/C][C]407[/C][C]422.259[/C][C]340.833[/C][C]81.4253[/C][C]-15.2587[/C][/ROW]
[ROW][C]13[/C][C]307[/C][C]238.722[/C][C]343.333[/C][C]-104.611[/C][C]68.2778[/C][/ROW]
[ROW][C]14[/C][C]253[/C][C]295.102[/C][C]342.792[/C][C]-47.6892[/C][C]-42.1024[/C][/ROW]
[ROW][C]15[/C][C]380[/C][C]413.561[/C][C]340.583[/C][C]72.9774[/C][C]-33.5608[/C][/ROW]
[ROW][C]16[/C][C]320[/C][C]243.53[/C][C]340.583[/C][C]-97.0538[/C][C]76.4705[/C][/ROW]
[ROW][C]17[/C][C]353[/C][C]369.55[/C][C]340.333[/C][C]29.217[/C][C]-16.5503[/C][/ROW]
[ROW][C]18[/C][C]353[/C][C]427.524[/C][C]340.917[/C][C]86.6076[/C][C]-74.5243[/C][/ROW]
[ROW][C]19[/C][C]387[/C][C]325.217[/C][C]339.5[/C][C]-14.283[/C][C]61.783[/C][/ROW]
[ROW][C]20[/C][C]280[/C][C]363.17[/C][C]336.708[/C][C]26.4618[/C][C]-83.1701[/C][/ROW]
[ROW][C]21[/C][C]387[/C][C]371.832[/C][C]337.292[/C][C]34.5399[/C][C]15.1684[/C][/ROW]
[ROW][C]22[/C][C]307[/C][C]344.118[/C][C]337.292[/C][C]6.82639[/C][C]-37.1181[/C][/ROW]
[ROW][C]23[/C][C]347[/C][C]261.498[/C][C]335.917[/C][C]-74.4184[/C][C]85.5017[/C][/ROW]
[ROW][C]24[/C][C]427[/C][C]417.384[/C][C]335.958[/C][C]81.4253[/C][C]9.61632[/C][/ROW]
[ROW][C]25[/C][C]253[/C][C]231.639[/C][C]336.25[/C][C]-104.611[/C][C]21.3611[/C][/ROW]
[ROW][C]26[/C][C]240[/C][C]286.894[/C][C]334.583[/C][C]-47.6892[/C][C]-46.8941[/C][/ROW]
[ROW][C]27[/C][C]407[/C][C]403.644[/C][C]330.667[/C][C]72.9774[/C][C]3.3559[/C][/ROW]
[ROW][C]28[/C][C]293[/C][C]233.28[/C][C]330.333[/C][C]-97.0538[/C][C]59.7205[/C][/ROW]
[ROW][C]29[/C][C]347[/C][C]360.05[/C][C]330.833[/C][C]29.217[/C][C]-13.0503[/C][/ROW]
[ROW][C]30[/C][C]360[/C][C]416.566[/C][C]329.958[/C][C]86.6076[/C][C]-56.566[/C][/ROW]
[ROW][C]31[/C][C]387[/C][C]317.05[/C][C]331.333[/C][C]-14.283[/C][C]69.9497[/C][/ROW]
[ROW][C]32[/C][C]240[/C][C]358.628[/C][C]332.167[/C][C]26.4618[/C][C]-118.628[/C][/ROW]
[ROW][C]33[/C][C]333[/C][C]366.707[/C][C]332.167[/C][C]34.5399[/C][C]-33.7066[/C][/ROW]
[ROW][C]34[/C][C]353[/C][C]336.785[/C][C]329.958[/C][C]6.82639[/C][C]16.2153[/C][/ROW]
[ROW][C]35[/C][C]313[/C][C]253.873[/C][C]328.292[/C][C]-74.4184[/C][C]59.1267[/C][/ROW]
[ROW][C]36[/C][C]440[/C][C]410.8[/C][C]329.375[/C][C]81.4253[/C][C]29.1997[/C][/ROW]
[ROW][C]37[/C][C]273[/C][C]225.306[/C][C]329.917[/C][C]-104.611[/C][C]47.6944[/C][/ROW]
[ROW][C]38[/C][C]240[/C][C]285.561[/C][C]333.25[/C][C]-47.6892[/C][C]-45.5608[/C][/ROW]
[ROW][C]39[/C][C]407[/C][C]411.227[/C][C]338.25[/C][C]72.9774[/C][C]-4.22743[/C][/ROW]
[ROW][C]40[/C][C]240[/C][C]243.696[/C][C]340.75[/C][C]-97.0538[/C][C]-3.69618[/C][/ROW]
[ROW][C]41[/C][C]360[/C][C]368.592[/C][C]339.375[/C][C]29.217[/C][C]-8.59201[/C][/ROW]
[ROW][C]42[/C][C]373[/C][C]422.941[/C][C]336.333[/C][C]86.6076[/C][C]-49.941[/C][/ROW]
[ROW][C]43[/C][C]387[/C][C]320.384[/C][C]334.667[/C][C]-14.283[/C][C]66.6163[/C][/ROW]
[ROW][C]44[/C][C]320[/C][C]362.503[/C][C]336.042[/C][C]26.4618[/C][C]-42.5035[/C][/ROW]
[ROW][C]45[/C][C]373[/C][C]373.04[/C][C]338.5[/C][C]34.5399[/C][C]-0.0399306[/C][/ROW]
[ROW][C]46[/C][C]373[/C][C]344.201[/C][C]337.375[/C][C]6.82639[/C][C]28.7986[/C][/ROW]
[ROW][C]47[/C][C]260[/C][C]260.457[/C][C]334.875[/C][C]-74.4184[/C][C]-0.456597[/C][/ROW]
[ROW][C]48[/C][C]420[/C][C]417.967[/C][C]336.542[/C][C]81.4253[/C][C]2.03299[/C][/ROW]
[ROW][C]49[/C][C]253[/C][C]230.264[/C][C]334.875[/C][C]-104.611[/C][C]22.7361[/C][/ROW]
[ROW][C]50[/C][C]293[/C][C]284.686[/C][C]332.375[/C][C]-47.6892[/C][C]8.31424[/C][/ROW]
[ROW][C]51[/C][C]413[/C][C]407.602[/C][C]334.625[/C][C]72.9774[/C][C]5.39757[/C][/ROW]
[ROW][C]52[/C][C]207[/C][C]237.863[/C][C]334.917[/C][C]-97.0538[/C][C]-30.8628[/C][/ROW]
[ROW][C]53[/C][C]333[/C][C]361.342[/C][C]332.125[/C][C]29.217[/C][C]-28.342[/C][/ROW]
[ROW][C]54[/C][C]440[/C][C]413.983[/C][C]327.375[/C][C]86.6076[/C][C]26.0174[/C][/ROW]
[ROW][C]55[/C][C]280[/C][C]309.467[/C][C]323.75[/C][C]-14.283[/C][C]-29.467[/C][/ROW]
[ROW][C]56[/C][C]367[/C][C]348.545[/C][C]322.083[/C][C]26.4618[/C][C]18.4549[/C][/ROW]
[ROW][C]57[/C][C]380[/C][C]356.373[/C][C]321.833[/C][C]34.5399[/C][C]23.6267[/C][/ROW]
[ROW][C]58[/C][C]373[/C][C]326.743[/C][C]319.917[/C][C]6.82639[/C][C]46.2569[/C][/ROW]
[ROW][C]59[/C][C]193[/C][C]244.123[/C][C]318.542[/C][C]-74.4184[/C][C]-51.1233[/C][/ROW]
[ROW][C]60[/C][C]373[/C][C]400.55[/C][C]319.125[/C][C]81.4253[/C][C]-27.5503[/C][/ROW]
[ROW][C]61[/C][C]213[/C][C]212.847[/C][C]317.458[/C][C]-104.611[/C][C]0.152778[/C][/ROW]
[ROW][C]62[/C][C]293[/C][C]268.894[/C][C]316.583[/C][C]-47.6892[/C][C]24.1059[/C][/ROW]
[ROW][C]63[/C][C]407[/C][C]388.686[/C][C]315.708[/C][C]72.9774[/C][C]18.3142[/C][/ROW]
[ROW][C]64[/C][C]167[/C][C]215.863[/C][C]312.917[/C][C]-97.0538[/C][C]-48.8628[/C][/ROW]
[ROW][C]65[/C][C]340[/C][C]341.592[/C][C]312.375[/C][C]29.217[/C][C]-1.59201[/C][/ROW]
[ROW][C]66[/C][C]447[/C][C]400.941[/C][C]314.333[/C][C]86.6076[/C][C]46.059[/C][/ROW]
[ROW][C]67[/C][C]233[/C][C]300.634[/C][C]314.917[/C][C]-14.283[/C][C]-67.6337[/C][/ROW]
[ROW][C]68[/C][C]393[/C][C]340.587[/C][C]314.125[/C][C]26.4618[/C][C]52.4132[/C][/ROW]
[ROW][C]69[/C][C]333[/C][C]349.207[/C][C]314.667[/C][C]34.5399[/C][C]-16.2066[/C][/ROW]
[ROW][C]70[/C][C]353[/C][C]323.66[/C][C]316.833[/C][C]6.82639[/C][C]29.3403[/C][/ROW]
[ROW][C]71[/C][C]200[/C][C]245.707[/C][C]320.125[/C][C]-74.4184[/C][C]-45.7066[/C][/ROW]
[ROW][C]72[/C][C]413[/C][C]403.175[/C][C]321.75[/C][C]81.4253[/C][C]9.82465[/C][/ROW]
[ROW][C]73[/C][C]187[/C][C]217.972[/C][C]322.583[/C][C]-104.611[/C][C]-30.9722[/C][/ROW]
[ROW][C]74[/C][C]300[/C][C]277.727[/C][C]325.417[/C][C]-47.6892[/C][C]22.2726[/C][/ROW]
[ROW][C]75[/C][C]413[/C][C]400.936[/C][C]327.958[/C][C]72.9774[/C][C]12.0642[/C][/ROW]
[ROW][C]76[/C][C]213[/C][C]229.821[/C][C]326.875[/C][C]-97.0538[/C][C]-16.8212[/C][/ROW]
[ROW][C]77[/C][C]373[/C][C]354.175[/C][C]324.958[/C][C]29.217[/C][C]18.8247[/C][/ROW]
[ROW][C]78[/C][C]453[/C][C]409.649[/C][C]323.042[/C][C]86.6076[/C][C]43.3507[/C][/ROW]
[ROW][C]79[/C][C]247[/C][C]306.259[/C][C]320.542[/C][C]-14.283[/C][C]-59.2587[/C][/ROW]
[ROW][C]80[/C][C]447[/C][C]346.17[/C][C]319.708[/C][C]26.4618[/C][C]100.83[/C][/ROW]
[ROW][C]81[/C][C]340[/C][C]353.998[/C][C]319.458[/C][C]34.5399[/C][C]-13.9983[/C][/ROW]
[ROW][C]82[/C][C]320[/C][C]325.743[/C][C]318.917[/C][C]6.82639[/C][C]-5.74306[/C][/ROW]
[ROW][C]83[/C][C]187[/C][C]244.79[/C][C]319.208[/C][C]-74.4184[/C][C]-57.7899[/C][/ROW]
[ROW][C]84[/C][C]380[/C][C]400.925[/C][C]319.5[/C][C]81.4253[/C][C]-20.9253[/C][/ROW]
[ROW][C]85[/C][C]160[/C][C]215.431[/C][C]320.042[/C][C]-104.611[/C][C]-55.4306[/C][/ROW]
[ROW][C]86[/C][C]307[/C][C]273.727[/C][C]321.417[/C][C]-47.6892[/C][C]33.2726[/C][/ROW]
[ROW][C]87[/C][C]400[/C][C]396.894[/C][C]323.917[/C][C]72.9774[/C][C]3.1059[/C][/ROW]
[ROW][C]88[/C][C]213[/C][C]227.696[/C][C]324.75[/C][C]-97.0538[/C][C]-14.6962[/C][/ROW]
[ROW][C]89[/C][C]380[/C][C]352.842[/C][C]323.625[/C][C]29.217[/C][C]27.158[/C][/ROW]
[ROW][C]90[/C][C]453[/C][C]411.899[/C][C]325.292[/C][C]86.6076[/C][C]41.1007[/C][/ROW]
[ROW][C]91[/C][C]260[/C][C]312.675[/C][C]326.958[/C][C]-14.283[/C][C]-52.6753[/C][/ROW]
[ROW][C]92[/C][C]467[/C][C]353.962[/C][C]327.5[/C][C]26.4618[/C][C]113.038[/C][/ROW]
[ROW][C]93[/C][C]380[/C][C]362.582[/C][C]328.042[/C][C]34.5399[/C][C]17.4184[/C][/ROW]
[ROW][C]94[/C][C]300[/C][C]334.326[/C][C]327.5[/C][C]6.82639[/C][C]-34.3264[/C][/ROW]
[ROW][C]95[/C][C]180[/C][C]252.832[/C][C]327.25[/C][C]-74.4184[/C][C]-72.8316[/C][/ROW]
[ROW][C]96[/C][C]427[/C][C]408.134[/C][C]326.708[/C][C]81.4253[/C][C]18.8663[/C][/ROW]
[ROW][C]97[/C][C]153[/C][C]221.014[/C][C]325.625[/C][C]-104.611[/C][C]-68.0139[/C][/ROW]
[ROW][C]98[/C][C]327[/C][C]274.602[/C][C]322.292[/C][C]-47.6892[/C][C]52.3976[/C][/ROW]
[ROW][C]99[/C][C]393[/C][C]391.644[/C][C]318.667[/C][C]72.9774[/C][C]1.3559[/C][/ROW]
[ROW][C]100[/C][C]207[/C][C]222.446[/C][C]319.5[/C][C]-97.0538[/C][C]-15.4462[/C][/ROW]
[ROW][C]101[/C][C]380[/C][C]352.05[/C][C]322.833[/C][C]29.217[/C][C]27.9497[/C][/ROW]
[ROW][C]102[/C][C]440[/C][C]409.691[/C][C]323.083[/C][C]86.6076[/C][C]30.309[/C][/ROW]
[ROW][C]103[/C][C]247[/C][C]NA[/C][C]NA[/C][C]-14.283[/C][C]NA[/C][/ROW]
[ROW][C]104[/C][C]400[/C][C]NA[/C][C]NA[/C][C]26.4618[/C][C]NA[/C][/ROW]
[ROW][C]105[/C][C]360[/C][C]NA[/C][C]NA[/C][C]34.5399[/C][C]NA[/C][/ROW]
[ROW][C]106[/C][C]340[/C][C]NA[/C][C]NA[/C][C]6.82639[/C][C]NA[/C][/ROW]
[ROW][C]107[/C][C]220[/C][C]NA[/C][C]NA[/C][C]-74.4184[/C][C]NA[/C][/ROW]
[ROW][C]108[/C][C]393[/C][C]NA[/C][C]NA[/C][C]81.4253[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235412&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235412&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	340	NA	NA	-104.611	NA
2	307	NA	NA	-47.6892	NA
3	380	NA	NA	72.9774	NA
4	347	NA	NA	-97.0538	NA
5	313	NA	NA	29.217	NA
6	333	NA	NA	86.6076	NA
7	347	330.509	344.792	-14.283	16.4913
8	333	367.628	341.167	26.4618	-34.6285
9	387	373.457	338.917	34.5399	13.5434
10	307	344.618	337.792	6.82639	-37.6181
11	353	263.915	338.333	-74.4184	89.0851
12	407	422.259	340.833	81.4253	-15.2587
13	307	238.722	343.333	-104.611	68.2778
14	253	295.102	342.792	-47.6892	-42.1024
15	380	413.561	340.583	72.9774	-33.5608
16	320	243.53	340.583	-97.0538	76.4705
17	353	369.55	340.333	29.217	-16.5503
18	353	427.524	340.917	86.6076	-74.5243
19	387	325.217	339.5	-14.283	61.783
20	280	363.17	336.708	26.4618	-83.1701
21	387	371.832	337.292	34.5399	15.1684
22	307	344.118	337.292	6.82639	-37.1181
23	347	261.498	335.917	-74.4184	85.5017
24	427	417.384	335.958	81.4253	9.61632
25	253	231.639	336.25	-104.611	21.3611
26	240	286.894	334.583	-47.6892	-46.8941
27	407	403.644	330.667	72.9774	3.3559
28	293	233.28	330.333	-97.0538	59.7205
29	347	360.05	330.833	29.217	-13.0503
30	360	416.566	329.958	86.6076	-56.566
31	387	317.05	331.333	-14.283	69.9497
32	240	358.628	332.167	26.4618	-118.628
33	333	366.707	332.167	34.5399	-33.7066
34	353	336.785	329.958	6.82639	16.2153
35	313	253.873	328.292	-74.4184	59.1267
36	440	410.8	329.375	81.4253	29.1997
37	273	225.306	329.917	-104.611	47.6944
38	240	285.561	333.25	-47.6892	-45.5608
39	407	411.227	338.25	72.9774	-4.22743
40	240	243.696	340.75	-97.0538	-3.69618
41	360	368.592	339.375	29.217	-8.59201
42	373	422.941	336.333	86.6076	-49.941
43	387	320.384	334.667	-14.283	66.6163
44	320	362.503	336.042	26.4618	-42.5035
45	373	373.04	338.5	34.5399	-0.0399306
46	373	344.201	337.375	6.82639	28.7986
47	260	260.457	334.875	-74.4184	-0.456597
48	420	417.967	336.542	81.4253	2.03299
49	253	230.264	334.875	-104.611	22.7361
50	293	284.686	332.375	-47.6892	8.31424
51	413	407.602	334.625	72.9774	5.39757
52	207	237.863	334.917	-97.0538	-30.8628
53	333	361.342	332.125	29.217	-28.342
54	440	413.983	327.375	86.6076	26.0174
55	280	309.467	323.75	-14.283	-29.467
56	367	348.545	322.083	26.4618	18.4549
57	380	356.373	321.833	34.5399	23.6267
58	373	326.743	319.917	6.82639	46.2569
59	193	244.123	318.542	-74.4184	-51.1233
60	373	400.55	319.125	81.4253	-27.5503
61	213	212.847	317.458	-104.611	0.152778
62	293	268.894	316.583	-47.6892	24.1059
63	407	388.686	315.708	72.9774	18.3142
64	167	215.863	312.917	-97.0538	-48.8628
65	340	341.592	312.375	29.217	-1.59201
66	447	400.941	314.333	86.6076	46.059
67	233	300.634	314.917	-14.283	-67.6337
68	393	340.587	314.125	26.4618	52.4132
69	333	349.207	314.667	34.5399	-16.2066
70	353	323.66	316.833	6.82639	29.3403
71	200	245.707	320.125	-74.4184	-45.7066
72	413	403.175	321.75	81.4253	9.82465
73	187	217.972	322.583	-104.611	-30.9722
74	300	277.727	325.417	-47.6892	22.2726
75	413	400.936	327.958	72.9774	12.0642
76	213	229.821	326.875	-97.0538	-16.8212
77	373	354.175	324.958	29.217	18.8247
78	453	409.649	323.042	86.6076	43.3507
79	247	306.259	320.542	-14.283	-59.2587
80	447	346.17	319.708	26.4618	100.83
81	340	353.998	319.458	34.5399	-13.9983
82	320	325.743	318.917	6.82639	-5.74306
83	187	244.79	319.208	-74.4184	-57.7899
84	380	400.925	319.5	81.4253	-20.9253
85	160	215.431	320.042	-104.611	-55.4306
86	307	273.727	321.417	-47.6892	33.2726
87	400	396.894	323.917	72.9774	3.1059
88	213	227.696	324.75	-97.0538	-14.6962
89	380	352.842	323.625	29.217	27.158
90	453	411.899	325.292	86.6076	41.1007
91	260	312.675	326.958	-14.283	-52.6753
92	467	353.962	327.5	26.4618	113.038
93	380	362.582	328.042	34.5399	17.4184
94	300	334.326	327.5	6.82639	-34.3264
95	180	252.832	327.25	-74.4184	-72.8316
96	427	408.134	326.708	81.4253	18.8663
97	153	221.014	325.625	-104.611	-68.0139
98	327	274.602	322.292	-47.6892	52.3976
99	393	391.644	318.667	72.9774	1.3559
100	207	222.446	319.5	-97.0538	-15.4462
101	380	352.05	322.833	29.217	27.9497
102	440	409.691	323.083	86.6076	30.309
103	247	NA	NA	-14.283	NA
104	400	NA	NA	26.4618	NA
105	360	NA	NA	34.5399	NA
106	340	NA	NA	6.82639	NA
107	220	NA	NA	-74.4184	NA
108	393	NA	NA	81.4253	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