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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Mon, 09 Jan 2017 10:45:47 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Jan/09/t1483958765zvw2d0uv7wpjrs9.htm/, Retrieved Tue, 14 May 2024 17:39:23 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 17:39:23 +0200

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Sir Maurice George Kendall' @ kendall.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 & 3 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Sir Maurice George Kendall' @ kendall.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	94.46	NA	NA	0.998155	NA
2	96.91	NA	NA	1.00136	NA
3	101.92	NA	NA	1.00567	NA
4	104.53	NA	NA	1.0019	NA
5	105.85	NA	NA	0.998743	NA
6	106.39	NA	NA	1.00224	NA
7	106.08	104.263	104.172	1.00087	1.01742
8	106.42	105.009	104.7	1.00295	1.01344
9	106.51	104.961	104.829	1.00126	1.01476
10	106.59	104.456	104.57	0.998909	1.02043
11	105.71	103.606	104.1	0.995257	1.02031
12	104.41	102.806	103.563	0.992689	1.0156
13	103.04	102.799	102.989	0.998155	1.00235
14	100.99	102.527	102.388	1.00136	0.985013
15	100.93	102.287	101.71	1.00567	0.986736
16	99.31	101.234	101.042	1.0019	0.980993
17	99.79	100.3	100.426	0.998743	0.994919
18	99.57	100.053	99.8287	1.00224	0.995177
19	99.11	99.4019	99.3154	1.00087	0.997063
20	98.96	99.2492	98.9571	1.00295	0.997086
21	97.72	98.8337	98.7092	1.00126	0.988732
22	99.35	98.4283	98.5358	0.998909	1.00936
23	98.15	97.9229	98.3896	0.995257	1.00232
24	97.64	97.5416	98.26	0.992689	1.00101
25	97.49	98.052	98.2333	0.998155	0.994268
26	97.94	98.3842	98.2508	1.00136	0.995485
27	98.03	98.8448	98.2879	1.00567	0.991757
28	98.05	98.4648	98.2783	1.0019	0.995788
29	97.54	98.0695	98.1929	0.998743	0.994601
30	98.71	98.3763	98.1562	1.00224	1.00339
31	99.33	98.2701	98.1846	1.00087	1.01079
32	99.16	98.4686	98.1787	1.00295	1.00702
33	98.41	98.2534	98.1296	1.00126	1.00159
34	98.43	97.9168	98.0237	0.998909	1.00524
35	97.02	97.4448	97.9092	0.995257	0.995641
36	97.89	97.0738	97.7888	0.992689	1.00841
37	97.92	97.3538	97.5338	0.998155	1.00582
38	97.37	97.3361	97.2042	1.00136	1.00035
39	97.42	97.4511	96.9021	1.00567	0.999681
40	96.12	96.825	96.6417	1.0019	0.992719
41	96.72	96.308	96.4292	0.998743	1.00428
42	96.64	96.4424	96.2267	1.00224	1.00205
43	95.28	96.127	96.0433	1.00087	0.991189
44	95.3	96.2019	95.9187	1.00295	0.990625
45	95.02	95.8917	95.7708	1.00126	0.99091
46	95.57	95.4969	95.6012	0.998909	1.00077
47	94.78	94.9695	95.4221	0.995257	0.998005
48	95.27	94.5329	95.2292	0.992689	1.0078
49	96.14	94.9212	95.0967	0.998155	1.01284
50	96.16	95.1674	95.0383	1.00136	1.01043
51	95.08	95.5584	95.02	1.00567	0.994994
52	94.39	95.1485	94.9683	1.0019	0.992028
53	94.15	94.8053	94.9246	0.998743	0.993088
54	94.58	95.0923	94.8796	1.00224	0.994613
55	94.16	94.8613	94.7787	1.00087	0.992607
56	95.02	94.998	94.7183	1.00295	1.00023
57	94.86	94.8691	94.7496	1.00126	0.999904
58	94.49	94.7453	94.8488	0.998909	0.997306
59	94.81	94.5361	94.9867	0.995257	1.0029
60	94.16	94.4903	95.1862	0.992689	0.996504
61	94.83	95.2726	95.4488	0.998155	0.995354
62	96.02	95.8583	95.7283	1.00136	1.00169
63	95.97	96.5523	96.0083	1.00567	0.993969
64	95.88	96.4414	96.2588	1.0019	0.994179
65	95.97	96.3384	96.4596	0.998743	0.996176
66	97.55	96.8579	96.6412	1.00224	1.00715
67	97.49	96.8806	96.7962	1.00087	1.00629
68	98.4	97.1802	96.8942	1.00295	1.01255
69	98.2	97.0661	96.9438	1.00126	1.01168
70	97.16	96.8342	96.94	0.998909	1.00336
71	96.96	96.3326	96.7917	0.995257	1.00651
72	96.37	95.7485	96.4538	0.992689	1.00649
73	96.34	95.8291	96.0062	0.998155	1.00533
74	96.86	95.648	95.5183	1.00136	1.01267
75	96.32	95.5999	95.0612	1.00567	1.00753
76	95.44	94.8429	94.6633	1.0019	1.0063
77	92.85	94.2339	94.3525	0.998743	0.985314
78	92.56	94.3348	94.1237	1.00224	0.981187
79	91.74	94.1148	94.0329	1.00087	0.974767
80	92.44	94.4158	94.1379	1.00295	0.979073
81	93.19	94.5149	94.3958	1.00126	0.985982
82	92.62	94.6962	94.7996	0.998909	0.978076
83	94.04	94.8766	95.3288	0.995257	0.991182
84	93.8	95.3056	96.0075	0.992689	0.984203
85	96.73	96.5952	96.7738	0.998155	1.0014
86	98.99	97.6236	97.4913	1.00136	1.014
87	100.38	98.7153	98.1592	1.00567	1.01686
88	101.07	98.997	98.8096	1.0019	1.02094
89	99.92	99.2068	99.3317	0.998743	1.00719
90	101.78	99.9928	99.7692	1.00224	1.01787
91	100.91	100.227	100.14	1.00087	1.00682
92	100.49	100.611	100.315	1.00295	0.998796
93	101.17	100.432	100.305	1.00126	1.00735
94	100.25	100.054	100.164	0.998909	1.00195
95	98.94	99.534	100.008	0.995257	0.994032
96	99.4	99.0418	99.7712	0.992689	1.00362
97	100.02	99.2532	99.4367	0.998155	1.00773
98	99.91	99.2487	99.1142	1.00136	1.00666
99	99.22	99.294	98.7346	1.00567	0.999255
100	98.84	98.4527	98.2662	1.0019	1.00393
101	98.42	97.7062	97.8292	0.998743	1.00731
102	97.59	97.6008	97.3825	1.00224	0.999889
103	97.07	96.944	96.8596	1.00087	1.0013
104	96.59	96.6457	96.3612	1.00295	0.999423
105	95.96	96.2171	96.0958	1.00126	0.997328
106	94.22	95.9723	96.0771	0.998909	0.981742
107	94.48	95.6906	96.1467	0.995257	0.987348
108	93.14	95.5661	96.27	0.992689	0.974613
109	93.73	96.3148	96.4929	0.998155	0.973163
110	94.24	96.9598	96.8283	1.00136	0.971949
111	98.52	97.791	97.24	1.00567	1.00746
112	99.09	97.9763	97.7908	1.0019	1.01137
113	99.84	98.3284	98.4521	0.998743	1.01537
114	99.13	99.4366	99.2142	1.00224	0.996917
115	100.88	NA	NA	1.00087	NA
116	100.83	NA	NA	1.00295	NA
117	101.6	NA	NA	1.00126	NA
118	101.8	NA	NA	0.998909	NA
119	102.77	NA	NA	0.995257	NA
120	103.14	NA	NA	0.992689	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 94.46 & NA & NA & 0.998155 & NA \tabularnewline
2 & 96.91 & NA & NA & 1.00136 & NA \tabularnewline
3 & 101.92 & NA & NA & 1.00567 & NA \tabularnewline
4 & 104.53 & NA & NA & 1.0019 & NA \tabularnewline
5 & 105.85 & NA & NA & 0.998743 & NA \tabularnewline
6 & 106.39 & NA & NA & 1.00224 & NA \tabularnewline
7 & 106.08 & 104.263 & 104.172 & 1.00087 & 1.01742 \tabularnewline
8 & 106.42 & 105.009 & 104.7 & 1.00295 & 1.01344 \tabularnewline
9 & 106.51 & 104.961 & 104.829 & 1.00126 & 1.01476 \tabularnewline
10 & 106.59 & 104.456 & 104.57 & 0.998909 & 1.02043 \tabularnewline
11 & 105.71 & 103.606 & 104.1 & 0.995257 & 1.02031 \tabularnewline
12 & 104.41 & 102.806 & 103.563 & 0.992689 & 1.0156 \tabularnewline
13 & 103.04 & 102.799 & 102.989 & 0.998155 & 1.00235 \tabularnewline
14 & 100.99 & 102.527 & 102.388 & 1.00136 & 0.985013 \tabularnewline
15 & 100.93 & 102.287 & 101.71 & 1.00567 & 0.986736 \tabularnewline
16 & 99.31 & 101.234 & 101.042 & 1.0019 & 0.980993 \tabularnewline
17 & 99.79 & 100.3 & 100.426 & 0.998743 & 0.994919 \tabularnewline
18 & 99.57 & 100.053 & 99.8287 & 1.00224 & 0.995177 \tabularnewline
19 & 99.11 & 99.4019 & 99.3154 & 1.00087 & 0.997063 \tabularnewline
20 & 98.96 & 99.2492 & 98.9571 & 1.00295 & 0.997086 \tabularnewline
21 & 97.72 & 98.8337 & 98.7092 & 1.00126 & 0.988732 \tabularnewline
22 & 99.35 & 98.4283 & 98.5358 & 0.998909 & 1.00936 \tabularnewline
23 & 98.15 & 97.9229 & 98.3896 & 0.995257 & 1.00232 \tabularnewline
24 & 97.64 & 97.5416 & 98.26 & 0.992689 & 1.00101 \tabularnewline
25 & 97.49 & 98.052 & 98.2333 & 0.998155 & 0.994268 \tabularnewline
26 & 97.94 & 98.3842 & 98.2508 & 1.00136 & 0.995485 \tabularnewline
27 & 98.03 & 98.8448 & 98.2879 & 1.00567 & 0.991757 \tabularnewline
28 & 98.05 & 98.4648 & 98.2783 & 1.0019 & 0.995788 \tabularnewline
29 & 97.54 & 98.0695 & 98.1929 & 0.998743 & 0.994601 \tabularnewline
30 & 98.71 & 98.3763 & 98.1562 & 1.00224 & 1.00339 \tabularnewline
31 & 99.33 & 98.2701 & 98.1846 & 1.00087 & 1.01079 \tabularnewline
32 & 99.16 & 98.4686 & 98.1787 & 1.00295 & 1.00702 \tabularnewline
33 & 98.41 & 98.2534 & 98.1296 & 1.00126 & 1.00159 \tabularnewline
34 & 98.43 & 97.9168 & 98.0237 & 0.998909 & 1.00524 \tabularnewline
35 & 97.02 & 97.4448 & 97.9092 & 0.995257 & 0.995641 \tabularnewline
36 & 97.89 & 97.0738 & 97.7888 & 0.992689 & 1.00841 \tabularnewline
37 & 97.92 & 97.3538 & 97.5338 & 0.998155 & 1.00582 \tabularnewline
38 & 97.37 & 97.3361 & 97.2042 & 1.00136 & 1.00035 \tabularnewline
39 & 97.42 & 97.4511 & 96.9021 & 1.00567 & 0.999681 \tabularnewline
40 & 96.12 & 96.825 & 96.6417 & 1.0019 & 0.992719 \tabularnewline
41 & 96.72 & 96.308 & 96.4292 & 0.998743 & 1.00428 \tabularnewline
42 & 96.64 & 96.4424 & 96.2267 & 1.00224 & 1.00205 \tabularnewline
43 & 95.28 & 96.127 & 96.0433 & 1.00087 & 0.991189 \tabularnewline
44 & 95.3 & 96.2019 & 95.9187 & 1.00295 & 0.990625 \tabularnewline
45 & 95.02 & 95.8917 & 95.7708 & 1.00126 & 0.99091 \tabularnewline
46 & 95.57 & 95.4969 & 95.6012 & 0.998909 & 1.00077 \tabularnewline
47 & 94.78 & 94.9695 & 95.4221 & 0.995257 & 0.998005 \tabularnewline
48 & 95.27 & 94.5329 & 95.2292 & 0.992689 & 1.0078 \tabularnewline
49 & 96.14 & 94.9212 & 95.0967 & 0.998155 & 1.01284 \tabularnewline
50 & 96.16 & 95.1674 & 95.0383 & 1.00136 & 1.01043 \tabularnewline
51 & 95.08 & 95.5584 & 95.02 & 1.00567 & 0.994994 \tabularnewline
52 & 94.39 & 95.1485 & 94.9683 & 1.0019 & 0.992028 \tabularnewline
53 & 94.15 & 94.8053 & 94.9246 & 0.998743 & 0.993088 \tabularnewline
54 & 94.58 & 95.0923 & 94.8796 & 1.00224 & 0.994613 \tabularnewline
55 & 94.16 & 94.8613 & 94.7787 & 1.00087 & 0.992607 \tabularnewline
56 & 95.02 & 94.998 & 94.7183 & 1.00295 & 1.00023 \tabularnewline
57 & 94.86 & 94.8691 & 94.7496 & 1.00126 & 0.999904 \tabularnewline
58 & 94.49 & 94.7453 & 94.8488 & 0.998909 & 0.997306 \tabularnewline
59 & 94.81 & 94.5361 & 94.9867 & 0.995257 & 1.0029 \tabularnewline
60 & 94.16 & 94.4903 & 95.1862 & 0.992689 & 0.996504 \tabularnewline
61 & 94.83 & 95.2726 & 95.4488 & 0.998155 & 0.995354 \tabularnewline
62 & 96.02 & 95.8583 & 95.7283 & 1.00136 & 1.00169 \tabularnewline
63 & 95.97 & 96.5523 & 96.0083 & 1.00567 & 0.993969 \tabularnewline
64 & 95.88 & 96.4414 & 96.2588 & 1.0019 & 0.994179 \tabularnewline
65 & 95.97 & 96.3384 & 96.4596 & 0.998743 & 0.996176 \tabularnewline
66 & 97.55 & 96.8579 & 96.6412 & 1.00224 & 1.00715 \tabularnewline
67 & 97.49 & 96.8806 & 96.7962 & 1.00087 & 1.00629 \tabularnewline
68 & 98.4 & 97.1802 & 96.8942 & 1.00295 & 1.01255 \tabularnewline
69 & 98.2 & 97.0661 & 96.9438 & 1.00126 & 1.01168 \tabularnewline
70 & 97.16 & 96.8342 & 96.94 & 0.998909 & 1.00336 \tabularnewline
71 & 96.96 & 96.3326 & 96.7917 & 0.995257 & 1.00651 \tabularnewline
72 & 96.37 & 95.7485 & 96.4538 & 0.992689 & 1.00649 \tabularnewline
73 & 96.34 & 95.8291 & 96.0062 & 0.998155 & 1.00533 \tabularnewline
74 & 96.86 & 95.648 & 95.5183 & 1.00136 & 1.01267 \tabularnewline
75 & 96.32 & 95.5999 & 95.0612 & 1.00567 & 1.00753 \tabularnewline
76 & 95.44 & 94.8429 & 94.6633 & 1.0019 & 1.0063 \tabularnewline
77 & 92.85 & 94.2339 & 94.3525 & 0.998743 & 0.985314 \tabularnewline
78 & 92.56 & 94.3348 & 94.1237 & 1.00224 & 0.981187 \tabularnewline
79 & 91.74 & 94.1148 & 94.0329 & 1.00087 & 0.974767 \tabularnewline
80 & 92.44 & 94.4158 & 94.1379 & 1.00295 & 0.979073 \tabularnewline
81 & 93.19 & 94.5149 & 94.3958 & 1.00126 & 0.985982 \tabularnewline
82 & 92.62 & 94.6962 & 94.7996 & 0.998909 & 0.978076 \tabularnewline
83 & 94.04 & 94.8766 & 95.3288 & 0.995257 & 0.991182 \tabularnewline
84 & 93.8 & 95.3056 & 96.0075 & 0.992689 & 0.984203 \tabularnewline
85 & 96.73 & 96.5952 & 96.7738 & 0.998155 & 1.0014 \tabularnewline
86 & 98.99 & 97.6236 & 97.4913 & 1.00136 & 1.014 \tabularnewline
87 & 100.38 & 98.7153 & 98.1592 & 1.00567 & 1.01686 \tabularnewline
88 & 101.07 & 98.997 & 98.8096 & 1.0019 & 1.02094 \tabularnewline
89 & 99.92 & 99.2068 & 99.3317 & 0.998743 & 1.00719 \tabularnewline
90 & 101.78 & 99.9928 & 99.7692 & 1.00224 & 1.01787 \tabularnewline
91 & 100.91 & 100.227 & 100.14 & 1.00087 & 1.00682 \tabularnewline
92 & 100.49 & 100.611 & 100.315 & 1.00295 & 0.998796 \tabularnewline
93 & 101.17 & 100.432 & 100.305 & 1.00126 & 1.00735 \tabularnewline
94 & 100.25 & 100.054 & 100.164 & 0.998909 & 1.00195 \tabularnewline
95 & 98.94 & 99.534 & 100.008 & 0.995257 & 0.994032 \tabularnewline
96 & 99.4 & 99.0418 & 99.7712 & 0.992689 & 1.00362 \tabularnewline
97 & 100.02 & 99.2532 & 99.4367 & 0.998155 & 1.00773 \tabularnewline
98 & 99.91 & 99.2487 & 99.1142 & 1.00136 & 1.00666 \tabularnewline
99 & 99.22 & 99.294 & 98.7346 & 1.00567 & 0.999255 \tabularnewline
100 & 98.84 & 98.4527 & 98.2662 & 1.0019 & 1.00393 \tabularnewline
101 & 98.42 & 97.7062 & 97.8292 & 0.998743 & 1.00731 \tabularnewline
102 & 97.59 & 97.6008 & 97.3825 & 1.00224 & 0.999889 \tabularnewline
103 & 97.07 & 96.944 & 96.8596 & 1.00087 & 1.0013 \tabularnewline
104 & 96.59 & 96.6457 & 96.3612 & 1.00295 & 0.999423 \tabularnewline
105 & 95.96 & 96.2171 & 96.0958 & 1.00126 & 0.997328 \tabularnewline
106 & 94.22 & 95.9723 & 96.0771 & 0.998909 & 0.981742 \tabularnewline
107 & 94.48 & 95.6906 & 96.1467 & 0.995257 & 0.987348 \tabularnewline
108 & 93.14 & 95.5661 & 96.27 & 0.992689 & 0.974613 \tabularnewline
109 & 93.73 & 96.3148 & 96.4929 & 0.998155 & 0.973163 \tabularnewline
110 & 94.24 & 96.9598 & 96.8283 & 1.00136 & 0.971949 \tabularnewline
111 & 98.52 & 97.791 & 97.24 & 1.00567 & 1.00746 \tabularnewline
112 & 99.09 & 97.9763 & 97.7908 & 1.0019 & 1.01137 \tabularnewline
113 & 99.84 & 98.3284 & 98.4521 & 0.998743 & 1.01537 \tabularnewline
114 & 99.13 & 99.4366 & 99.2142 & 1.00224 & 0.996917 \tabularnewline
115 & 100.88 & NA & NA & 1.00087 & NA \tabularnewline
116 & 100.83 & NA & NA & 1.00295 & NA \tabularnewline
117 & 101.6 & NA & NA & 1.00126 & NA \tabularnewline
118 & 101.8 & NA & NA & 0.998909 & NA \tabularnewline
119 & 102.77 & NA & NA & 0.995257 & NA \tabularnewline
120 & 103.14 & NA & NA & 0.992689 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]94.46[/C][C]NA[/C][C]NA[/C][C]0.998155[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]96.91[/C][C]NA[/C][C]NA[/C][C]1.00136[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]101.92[/C][C]NA[/C][C]NA[/C][C]1.00567[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]104.53[/C][C]NA[/C][C]NA[/C][C]1.0019[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]105.85[/C][C]NA[/C][C]NA[/C][C]0.998743[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]106.39[/C][C]NA[/C][C]NA[/C][C]1.00224[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]106.08[/C][C]104.263[/C][C]104.172[/C][C]1.00087[/C][C]1.01742[/C][/ROW]
[ROW][C]8[/C][C]106.42[/C][C]105.009[/C][C]104.7[/C][C]1.00295[/C][C]1.01344[/C][/ROW]
[ROW][C]9[/C][C]106.51[/C][C]104.961[/C][C]104.829[/C][C]1.00126[/C][C]1.01476[/C][/ROW]
[ROW][C]10[/C][C]106.59[/C][C]104.456[/C][C]104.57[/C][C]0.998909[/C][C]1.02043[/C][/ROW]
[ROW][C]11[/C][C]105.71[/C][C]103.606[/C][C]104.1[/C][C]0.995257[/C][C]1.02031[/C][/ROW]
[ROW][C]12[/C][C]104.41[/C][C]102.806[/C][C]103.563[/C][C]0.992689[/C][C]1.0156[/C][/ROW]
[ROW][C]13[/C][C]103.04[/C][C]102.799[/C][C]102.989[/C][C]0.998155[/C][C]1.00235[/C][/ROW]
[ROW][C]14[/C][C]100.99[/C][C]102.527[/C][C]102.388[/C][C]1.00136[/C][C]0.985013[/C][/ROW]
[ROW][C]15[/C][C]100.93[/C][C]102.287[/C][C]101.71[/C][C]1.00567[/C][C]0.986736[/C][/ROW]
[ROW][C]16[/C][C]99.31[/C][C]101.234[/C][C]101.042[/C][C]1.0019[/C][C]0.980993[/C][/ROW]
[ROW][C]17[/C][C]99.79[/C][C]100.3[/C][C]100.426[/C][C]0.998743[/C][C]0.994919[/C][/ROW]
[ROW][C]18[/C][C]99.57[/C][C]100.053[/C][C]99.8287[/C][C]1.00224[/C][C]0.995177[/C][/ROW]
[ROW][C]19[/C][C]99.11[/C][C]99.4019[/C][C]99.3154[/C][C]1.00087[/C][C]0.997063[/C][/ROW]
[ROW][C]20[/C][C]98.96[/C][C]99.2492[/C][C]98.9571[/C][C]1.00295[/C][C]0.997086[/C][/ROW]
[ROW][C]21[/C][C]97.72[/C][C]98.8337[/C][C]98.7092[/C][C]1.00126[/C][C]0.988732[/C][/ROW]
[ROW][C]22[/C][C]99.35[/C][C]98.4283[/C][C]98.5358[/C][C]0.998909[/C][C]1.00936[/C][/ROW]
[ROW][C]23[/C][C]98.15[/C][C]97.9229[/C][C]98.3896[/C][C]0.995257[/C][C]1.00232[/C][/ROW]
[ROW][C]24[/C][C]97.64[/C][C]97.5416[/C][C]98.26[/C][C]0.992689[/C][C]1.00101[/C][/ROW]
[ROW][C]25[/C][C]97.49[/C][C]98.052[/C][C]98.2333[/C][C]0.998155[/C][C]0.994268[/C][/ROW]
[ROW][C]26[/C][C]97.94[/C][C]98.3842[/C][C]98.2508[/C][C]1.00136[/C][C]0.995485[/C][/ROW]
[ROW][C]27[/C][C]98.03[/C][C]98.8448[/C][C]98.2879[/C][C]1.00567[/C][C]0.991757[/C][/ROW]
[ROW][C]28[/C][C]98.05[/C][C]98.4648[/C][C]98.2783[/C][C]1.0019[/C][C]0.995788[/C][/ROW]
[ROW][C]29[/C][C]97.54[/C][C]98.0695[/C][C]98.1929[/C][C]0.998743[/C][C]0.994601[/C][/ROW]
[ROW][C]30[/C][C]98.71[/C][C]98.3763[/C][C]98.1562[/C][C]1.00224[/C][C]1.00339[/C][/ROW]
[ROW][C]31[/C][C]99.33[/C][C]98.2701[/C][C]98.1846[/C][C]1.00087[/C][C]1.01079[/C][/ROW]
[ROW][C]32[/C][C]99.16[/C][C]98.4686[/C][C]98.1787[/C][C]1.00295[/C][C]1.00702[/C][/ROW]
[ROW][C]33[/C][C]98.41[/C][C]98.2534[/C][C]98.1296[/C][C]1.00126[/C][C]1.00159[/C][/ROW]
[ROW][C]34[/C][C]98.43[/C][C]97.9168[/C][C]98.0237[/C][C]0.998909[/C][C]1.00524[/C][/ROW]
[ROW][C]35[/C][C]97.02[/C][C]97.4448[/C][C]97.9092[/C][C]0.995257[/C][C]0.995641[/C][/ROW]
[ROW][C]36[/C][C]97.89[/C][C]97.0738[/C][C]97.7888[/C][C]0.992689[/C][C]1.00841[/C][/ROW]
[ROW][C]37[/C][C]97.92[/C][C]97.3538[/C][C]97.5338[/C][C]0.998155[/C][C]1.00582[/C][/ROW]
[ROW][C]38[/C][C]97.37[/C][C]97.3361[/C][C]97.2042[/C][C]1.00136[/C][C]1.00035[/C][/ROW]
[ROW][C]39[/C][C]97.42[/C][C]97.4511[/C][C]96.9021[/C][C]1.00567[/C][C]0.999681[/C][/ROW]
[ROW][C]40[/C][C]96.12[/C][C]96.825[/C][C]96.6417[/C][C]1.0019[/C][C]0.992719[/C][/ROW]
[ROW][C]41[/C][C]96.72[/C][C]96.308[/C][C]96.4292[/C][C]0.998743[/C][C]1.00428[/C][/ROW]
[ROW][C]42[/C][C]96.64[/C][C]96.4424[/C][C]96.2267[/C][C]1.00224[/C][C]1.00205[/C][/ROW]
[ROW][C]43[/C][C]95.28[/C][C]96.127[/C][C]96.0433[/C][C]1.00087[/C][C]0.991189[/C][/ROW]
[ROW][C]44[/C][C]95.3[/C][C]96.2019[/C][C]95.9187[/C][C]1.00295[/C][C]0.990625[/C][/ROW]
[ROW][C]45[/C][C]95.02[/C][C]95.8917[/C][C]95.7708[/C][C]1.00126[/C][C]0.99091[/C][/ROW]
[ROW][C]46[/C][C]95.57[/C][C]95.4969[/C][C]95.6012[/C][C]0.998909[/C][C]1.00077[/C][/ROW]
[ROW][C]47[/C][C]94.78[/C][C]94.9695[/C][C]95.4221[/C][C]0.995257[/C][C]0.998005[/C][/ROW]
[ROW][C]48[/C][C]95.27[/C][C]94.5329[/C][C]95.2292[/C][C]0.992689[/C][C]1.0078[/C][/ROW]
[ROW][C]49[/C][C]96.14[/C][C]94.9212[/C][C]95.0967[/C][C]0.998155[/C][C]1.01284[/C][/ROW]
[ROW][C]50[/C][C]96.16[/C][C]95.1674[/C][C]95.0383[/C][C]1.00136[/C][C]1.01043[/C][/ROW]
[ROW][C]51[/C][C]95.08[/C][C]95.5584[/C][C]95.02[/C][C]1.00567[/C][C]0.994994[/C][/ROW]
[ROW][C]52[/C][C]94.39[/C][C]95.1485[/C][C]94.9683[/C][C]1.0019[/C][C]0.992028[/C][/ROW]
[ROW][C]53[/C][C]94.15[/C][C]94.8053[/C][C]94.9246[/C][C]0.998743[/C][C]0.993088[/C][/ROW]
[ROW][C]54[/C][C]94.58[/C][C]95.0923[/C][C]94.8796[/C][C]1.00224[/C][C]0.994613[/C][/ROW]
[ROW][C]55[/C][C]94.16[/C][C]94.8613[/C][C]94.7787[/C][C]1.00087[/C][C]0.992607[/C][/ROW]
[ROW][C]56[/C][C]95.02[/C][C]94.998[/C][C]94.7183[/C][C]1.00295[/C][C]1.00023[/C][/ROW]
[ROW][C]57[/C][C]94.86[/C][C]94.8691[/C][C]94.7496[/C][C]1.00126[/C][C]0.999904[/C][/ROW]
[ROW][C]58[/C][C]94.49[/C][C]94.7453[/C][C]94.8488[/C][C]0.998909[/C][C]0.997306[/C][/ROW]
[ROW][C]59[/C][C]94.81[/C][C]94.5361[/C][C]94.9867[/C][C]0.995257[/C][C]1.0029[/C][/ROW]
[ROW][C]60[/C][C]94.16[/C][C]94.4903[/C][C]95.1862[/C][C]0.992689[/C][C]0.996504[/C][/ROW]
[ROW][C]61[/C][C]94.83[/C][C]95.2726[/C][C]95.4488[/C][C]0.998155[/C][C]0.995354[/C][/ROW]
[ROW][C]62[/C][C]96.02[/C][C]95.8583[/C][C]95.7283[/C][C]1.00136[/C][C]1.00169[/C][/ROW]
[ROW][C]63[/C][C]95.97[/C][C]96.5523[/C][C]96.0083[/C][C]1.00567[/C][C]0.993969[/C][/ROW]
[ROW][C]64[/C][C]95.88[/C][C]96.4414[/C][C]96.2588[/C][C]1.0019[/C][C]0.994179[/C][/ROW]
[ROW][C]65[/C][C]95.97[/C][C]96.3384[/C][C]96.4596[/C][C]0.998743[/C][C]0.996176[/C][/ROW]
[ROW][C]66[/C][C]97.55[/C][C]96.8579[/C][C]96.6412[/C][C]1.00224[/C][C]1.00715[/C][/ROW]
[ROW][C]67[/C][C]97.49[/C][C]96.8806[/C][C]96.7962[/C][C]1.00087[/C][C]1.00629[/C][/ROW]
[ROW][C]68[/C][C]98.4[/C][C]97.1802[/C][C]96.8942[/C][C]1.00295[/C][C]1.01255[/C][/ROW]
[ROW][C]69[/C][C]98.2[/C][C]97.0661[/C][C]96.9438[/C][C]1.00126[/C][C]1.01168[/C][/ROW]
[ROW][C]70[/C][C]97.16[/C][C]96.8342[/C][C]96.94[/C][C]0.998909[/C][C]1.00336[/C][/ROW]
[ROW][C]71[/C][C]96.96[/C][C]96.3326[/C][C]96.7917[/C][C]0.995257[/C][C]1.00651[/C][/ROW]
[ROW][C]72[/C][C]96.37[/C][C]95.7485[/C][C]96.4538[/C][C]0.992689[/C][C]1.00649[/C][/ROW]
[ROW][C]73[/C][C]96.34[/C][C]95.8291[/C][C]96.0062[/C][C]0.998155[/C][C]1.00533[/C][/ROW]
[ROW][C]74[/C][C]96.86[/C][C]95.648[/C][C]95.5183[/C][C]1.00136[/C][C]1.01267[/C][/ROW]
[ROW][C]75[/C][C]96.32[/C][C]95.5999[/C][C]95.0612[/C][C]1.00567[/C][C]1.00753[/C][/ROW]
[ROW][C]76[/C][C]95.44[/C][C]94.8429[/C][C]94.6633[/C][C]1.0019[/C][C]1.0063[/C][/ROW]
[ROW][C]77[/C][C]92.85[/C][C]94.2339[/C][C]94.3525[/C][C]0.998743[/C][C]0.985314[/C][/ROW]
[ROW][C]78[/C][C]92.56[/C][C]94.3348[/C][C]94.1237[/C][C]1.00224[/C][C]0.981187[/C][/ROW]
[ROW][C]79[/C][C]91.74[/C][C]94.1148[/C][C]94.0329[/C][C]1.00087[/C][C]0.974767[/C][/ROW]
[ROW][C]80[/C][C]92.44[/C][C]94.4158[/C][C]94.1379[/C][C]1.00295[/C][C]0.979073[/C][/ROW]
[ROW][C]81[/C][C]93.19[/C][C]94.5149[/C][C]94.3958[/C][C]1.00126[/C][C]0.985982[/C][/ROW]
[ROW][C]82[/C][C]92.62[/C][C]94.6962[/C][C]94.7996[/C][C]0.998909[/C][C]0.978076[/C][/ROW]
[ROW][C]83[/C][C]94.04[/C][C]94.8766[/C][C]95.3288[/C][C]0.995257[/C][C]0.991182[/C][/ROW]
[ROW][C]84[/C][C]93.8[/C][C]95.3056[/C][C]96.0075[/C][C]0.992689[/C][C]0.984203[/C][/ROW]
[ROW][C]85[/C][C]96.73[/C][C]96.5952[/C][C]96.7738[/C][C]0.998155[/C][C]1.0014[/C][/ROW]
[ROW][C]86[/C][C]98.99[/C][C]97.6236[/C][C]97.4913[/C][C]1.00136[/C][C]1.014[/C][/ROW]
[ROW][C]87[/C][C]100.38[/C][C]98.7153[/C][C]98.1592[/C][C]1.00567[/C][C]1.01686[/C][/ROW]
[ROW][C]88[/C][C]101.07[/C][C]98.997[/C][C]98.8096[/C][C]1.0019[/C][C]1.02094[/C][/ROW]
[ROW][C]89[/C][C]99.92[/C][C]99.2068[/C][C]99.3317[/C][C]0.998743[/C][C]1.00719[/C][/ROW]
[ROW][C]90[/C][C]101.78[/C][C]99.9928[/C][C]99.7692[/C][C]1.00224[/C][C]1.01787[/C][/ROW]
[ROW][C]91[/C][C]100.91[/C][C]100.227[/C][C]100.14[/C][C]1.00087[/C][C]1.00682[/C][/ROW]
[ROW][C]92[/C][C]100.49[/C][C]100.611[/C][C]100.315[/C][C]1.00295[/C][C]0.998796[/C][/ROW]
[ROW][C]93[/C][C]101.17[/C][C]100.432[/C][C]100.305[/C][C]1.00126[/C][C]1.00735[/C][/ROW]
[ROW][C]94[/C][C]100.25[/C][C]100.054[/C][C]100.164[/C][C]0.998909[/C][C]1.00195[/C][/ROW]
[ROW][C]95[/C][C]98.94[/C][C]99.534[/C][C]100.008[/C][C]0.995257[/C][C]0.994032[/C][/ROW]
[ROW][C]96[/C][C]99.4[/C][C]99.0418[/C][C]99.7712[/C][C]0.992689[/C][C]1.00362[/C][/ROW]
[ROW][C]97[/C][C]100.02[/C][C]99.2532[/C][C]99.4367[/C][C]0.998155[/C][C]1.00773[/C][/ROW]
[ROW][C]98[/C][C]99.91[/C][C]99.2487[/C][C]99.1142[/C][C]1.00136[/C][C]1.00666[/C][/ROW]
[ROW][C]99[/C][C]99.22[/C][C]99.294[/C][C]98.7346[/C][C]1.00567[/C][C]0.999255[/C][/ROW]
[ROW][C]100[/C][C]98.84[/C][C]98.4527[/C][C]98.2662[/C][C]1.0019[/C][C]1.00393[/C][/ROW]
[ROW][C]101[/C][C]98.42[/C][C]97.7062[/C][C]97.8292[/C][C]0.998743[/C][C]1.00731[/C][/ROW]
[ROW][C]102[/C][C]97.59[/C][C]97.6008[/C][C]97.3825[/C][C]1.00224[/C][C]0.999889[/C][/ROW]
[ROW][C]103[/C][C]97.07[/C][C]96.944[/C][C]96.8596[/C][C]1.00087[/C][C]1.0013[/C][/ROW]
[ROW][C]104[/C][C]96.59[/C][C]96.6457[/C][C]96.3612[/C][C]1.00295[/C][C]0.999423[/C][/ROW]
[ROW][C]105[/C][C]95.96[/C][C]96.2171[/C][C]96.0958[/C][C]1.00126[/C][C]0.997328[/C][/ROW]
[ROW][C]106[/C][C]94.22[/C][C]95.9723[/C][C]96.0771[/C][C]0.998909[/C][C]0.981742[/C][/ROW]
[ROW][C]107[/C][C]94.48[/C][C]95.6906[/C][C]96.1467[/C][C]0.995257[/C][C]0.987348[/C][/ROW]
[ROW][C]108[/C][C]93.14[/C][C]95.5661[/C][C]96.27[/C][C]0.992689[/C][C]0.974613[/C][/ROW]
[ROW][C]109[/C][C]93.73[/C][C]96.3148[/C][C]96.4929[/C][C]0.998155[/C][C]0.973163[/C][/ROW]
[ROW][C]110[/C][C]94.24[/C][C]96.9598[/C][C]96.8283[/C][C]1.00136[/C][C]0.971949[/C][/ROW]
[ROW][C]111[/C][C]98.52[/C][C]97.791[/C][C]97.24[/C][C]1.00567[/C][C]1.00746[/C][/ROW]
[ROW][C]112[/C][C]99.09[/C][C]97.9763[/C][C]97.7908[/C][C]1.0019[/C][C]1.01137[/C][/ROW]
[ROW][C]113[/C][C]99.84[/C][C]98.3284[/C][C]98.4521[/C][C]0.998743[/C][C]1.01537[/C][/ROW]
[ROW][C]114[/C][C]99.13[/C][C]99.4366[/C][C]99.2142[/C][C]1.00224[/C][C]0.996917[/C][/ROW]
[ROW][C]115[/C][C]100.88[/C][C]NA[/C][C]NA[/C][C]1.00087[/C][C]NA[/C][/ROW]
[ROW][C]116[/C][C]100.83[/C][C]NA[/C][C]NA[/C][C]1.00295[/C][C]NA[/C][/ROW]
[ROW][C]117[/C][C]101.6[/C][C]NA[/C][C]NA[/C][C]1.00126[/C][C]NA[/C][/ROW]
[ROW][C]118[/C][C]101.8[/C][C]NA[/C][C]NA[/C][C]0.998909[/C][C]NA[/C][/ROW]
[ROW][C]119[/C][C]102.77[/C][C]NA[/C][C]NA[/C][C]0.995257[/C][C]NA[/C][/ROW]
[ROW][C]120[/C][C]103.14[/C][C]NA[/C][C]NA[/C][C]0.992689[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	94.46	NA	NA	0.998155	NA
2	96.91	NA	NA	1.00136	NA
3	101.92	NA	NA	1.00567	NA
4	104.53	NA	NA	1.0019	NA
5	105.85	NA	NA	0.998743	NA
6	106.39	NA	NA	1.00224	NA
7	106.08	104.263	104.172	1.00087	1.01742
8	106.42	105.009	104.7	1.00295	1.01344
9	106.51	104.961	104.829	1.00126	1.01476
10	106.59	104.456	104.57	0.998909	1.02043
11	105.71	103.606	104.1	0.995257	1.02031
12	104.41	102.806	103.563	0.992689	1.0156
13	103.04	102.799	102.989	0.998155	1.00235
14	100.99	102.527	102.388	1.00136	0.985013
15	100.93	102.287	101.71	1.00567	0.986736
16	99.31	101.234	101.042	1.0019	0.980993
17	99.79	100.3	100.426	0.998743	0.994919
18	99.57	100.053	99.8287	1.00224	0.995177
19	99.11	99.4019	99.3154	1.00087	0.997063
20	98.96	99.2492	98.9571	1.00295	0.997086
21	97.72	98.8337	98.7092	1.00126	0.988732
22	99.35	98.4283	98.5358	0.998909	1.00936
23	98.15	97.9229	98.3896	0.995257	1.00232
24	97.64	97.5416	98.26	0.992689	1.00101
25	97.49	98.052	98.2333	0.998155	0.994268
26	97.94	98.3842	98.2508	1.00136	0.995485
27	98.03	98.8448	98.2879	1.00567	0.991757
28	98.05	98.4648	98.2783	1.0019	0.995788
29	97.54	98.0695	98.1929	0.998743	0.994601
30	98.71	98.3763	98.1562	1.00224	1.00339
31	99.33	98.2701	98.1846	1.00087	1.01079
32	99.16	98.4686	98.1787	1.00295	1.00702
33	98.41	98.2534	98.1296	1.00126	1.00159
34	98.43	97.9168	98.0237	0.998909	1.00524
35	97.02	97.4448	97.9092	0.995257	0.995641
36	97.89	97.0738	97.7888	0.992689	1.00841
37	97.92	97.3538	97.5338	0.998155	1.00582
38	97.37	97.3361	97.2042	1.00136	1.00035
39	97.42	97.4511	96.9021	1.00567	0.999681
40	96.12	96.825	96.6417	1.0019	0.992719
41	96.72	96.308	96.4292	0.998743	1.00428
42	96.64	96.4424	96.2267	1.00224	1.00205
43	95.28	96.127	96.0433	1.00087	0.991189
44	95.3	96.2019	95.9187	1.00295	0.990625
45	95.02	95.8917	95.7708	1.00126	0.99091
46	95.57	95.4969	95.6012	0.998909	1.00077
47	94.78	94.9695	95.4221	0.995257	0.998005
48	95.27	94.5329	95.2292	0.992689	1.0078
49	96.14	94.9212	95.0967	0.998155	1.01284
50	96.16	95.1674	95.0383	1.00136	1.01043
51	95.08	95.5584	95.02	1.00567	0.994994
52	94.39	95.1485	94.9683	1.0019	0.992028
53	94.15	94.8053	94.9246	0.998743	0.993088
54	94.58	95.0923	94.8796	1.00224	0.994613
55	94.16	94.8613	94.7787	1.00087	0.992607
56	95.02	94.998	94.7183	1.00295	1.00023
57	94.86	94.8691	94.7496	1.00126	0.999904
58	94.49	94.7453	94.8488	0.998909	0.997306
59	94.81	94.5361	94.9867	0.995257	1.0029
60	94.16	94.4903	95.1862	0.992689	0.996504
61	94.83	95.2726	95.4488	0.998155	0.995354
62	96.02	95.8583	95.7283	1.00136	1.00169
63	95.97	96.5523	96.0083	1.00567	0.993969
64	95.88	96.4414	96.2588	1.0019	0.994179
65	95.97	96.3384	96.4596	0.998743	0.996176
66	97.55	96.8579	96.6412	1.00224	1.00715
67	97.49	96.8806	96.7962	1.00087	1.00629
68	98.4	97.1802	96.8942	1.00295	1.01255
69	98.2	97.0661	96.9438	1.00126	1.01168
70	97.16	96.8342	96.94	0.998909	1.00336
71	96.96	96.3326	96.7917	0.995257	1.00651
72	96.37	95.7485	96.4538	0.992689	1.00649
73	96.34	95.8291	96.0062	0.998155	1.00533
74	96.86	95.648	95.5183	1.00136	1.01267
75	96.32	95.5999	95.0612	1.00567	1.00753
76	95.44	94.8429	94.6633	1.0019	1.0063
77	92.85	94.2339	94.3525	0.998743	0.985314
78	92.56	94.3348	94.1237	1.00224	0.981187
79	91.74	94.1148	94.0329	1.00087	0.974767
80	92.44	94.4158	94.1379	1.00295	0.979073
81	93.19	94.5149	94.3958	1.00126	0.985982
82	92.62	94.6962	94.7996	0.998909	0.978076
83	94.04	94.8766	95.3288	0.995257	0.991182
84	93.8	95.3056	96.0075	0.992689	0.984203
85	96.73	96.5952	96.7738	0.998155	1.0014
86	98.99	97.6236	97.4913	1.00136	1.014
87	100.38	98.7153	98.1592	1.00567	1.01686
88	101.07	98.997	98.8096	1.0019	1.02094
89	99.92	99.2068	99.3317	0.998743	1.00719
90	101.78	99.9928	99.7692	1.00224	1.01787
91	100.91	100.227	100.14	1.00087	1.00682
92	100.49	100.611	100.315	1.00295	0.998796
93	101.17	100.432	100.305	1.00126	1.00735
94	100.25	100.054	100.164	0.998909	1.00195
95	98.94	99.534	100.008	0.995257	0.994032
96	99.4	99.0418	99.7712	0.992689	1.00362
97	100.02	99.2532	99.4367	0.998155	1.00773
98	99.91	99.2487	99.1142	1.00136	1.00666
99	99.22	99.294	98.7346	1.00567	0.999255
100	98.84	98.4527	98.2662	1.0019	1.00393
101	98.42	97.7062	97.8292	0.998743	1.00731
102	97.59	97.6008	97.3825	1.00224	0.999889
103	97.07	96.944	96.8596	1.00087	1.0013
104	96.59	96.6457	96.3612	1.00295	0.999423
105	95.96	96.2171	96.0958	1.00126	0.997328
106	94.22	95.9723	96.0771	0.998909	0.981742
107	94.48	95.6906	96.1467	0.995257	0.987348
108	93.14	95.5661	96.27	0.992689	0.974613
109	93.73	96.3148	96.4929	0.998155	0.973163
110	94.24	96.9598	96.8283	1.00136	0.971949
111	98.52	97.791	97.24	1.00567	1.00746
112	99.09	97.9763	97.7908	1.0019	1.01137
113	99.84	98.3284	98.4521	0.998743	1.01537
114	99.13	99.4366	99.2142	1.00224	0.996917
115	100.88	NA	NA	1.00087	NA
116	100.83	NA	NA	1.00295	NA
117	101.6	NA	NA	1.00126	NA
118	101.8	NA	NA	0.998909	NA
119	102.77	NA	NA	0.995257	NA
120	103.14	NA	NA	0.992689	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 = multiplicative ; par2 = 12 ;

Parameters (R input):

par1 = multiplicative ; 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