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rwasp_decompose.wasp

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Classical Decomposition

Date of computation

Sun, 18 Dec 2016 14:31:34 +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/2016/Dec/18/t1482068019l46ds5zjy7ymfk7.htm/, Retrieved Wed, 08 May 2024 22:47:08 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=301075, Retrieved Wed, 08 May 2024 22:47:08 +0000

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-       [Classical Decomposition] [Classical decompo...] [2016-12-18 13:31:34] [cedc5386ad7644fa02c81dc221bdf6b7] [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=301075&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=301075&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301075&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	101	NA	NA	0.116288	NA
2	101	NA	NA	-0.587879	NA
3	100	NA	NA	0.303788	NA
4	101	NA	NA	-0.292045	NA
5	103	NA	NA	0.203788	NA
6	101	NA	NA	0.391288	NA
7	100	100.335	100.375	-0.0401515	-0.334848
8	99	100.081	100.292	-0.210606	-1.08106
9	100	100.683	100.25	0.433333	-0.683333
10	100	100.225	100.25	-0.0253788	-0.224621
11	99	99.9788	100.083	-0.104545	-0.978788
12	100	99.6455	99.8333	-0.187879	0.354545
13	100	99.8663	99.75	0.116288	0.133712
14	100	99.2038	99.7917	-0.587879	0.796212
15	100	100.137	99.8333	0.303788	-0.137121
16	101	99.4996	99.7917	-0.292045	1.50038
17	99	100.079	99.875	0.203788	-1.07879
18	99	100.391	100	0.391288	-1.39129
19	100	99.9598	100	-0.0401515	0.0401515
20	100	99.7477	99.9583	-0.210606	0.252273
21	100	100.392	99.9583	0.433333	-0.391667
22	99	99.808	99.8333	-0.0253788	-0.807955
23	102	99.6871	99.7917	-0.104545	2.31288
24	100	99.8121	100	-0.187879	0.187879
25	100	100.241	100.125	0.116288	-0.241288
26	99	99.5788	100.167	-0.587879	-0.578788
27	101	100.72	100.417	0.303788	0.279545
28	97	100.416	100.708	-0.292045	-3.41629
29	102	100.829	100.625	0.203788	1.17121
30	101	100.85	100.458	0.391288	0.150379
31	101	100.377	100.417	-0.0401515	0.623485
32	100	100.248	100.458	-0.210606	-0.247727
33	106	100.892	100.458	0.433333	5.10833
34	100	100.516	100.542	-0.0253788	-0.516288
35	99	100.562	100.667	-0.104545	-1.56212
36	99	100.479	100.667	-0.187879	-1.47879
37	100	100.741	100.625	0.116288	-0.741288
38	100	99.9538	100.542	-0.587879	0.0462121
39	100	100.512	100.208	0.303788	-0.512121
40	100	99.6663	99.9583	-0.292045	0.333712
41	102	100.287	100.083	0.203788	1.71288
42	101	100.6	100.208	0.391288	0.400379
43	100	100.21	100.25	-0.0401515	-0.209848
44	99	99.9977	100.208	-0.210606	-0.997727
45	99	100.517	100.083	0.433333	-1.51667
46	101	99.9746	100	-0.0253788	1.02538
47	101	99.8121	99.9167	-0.104545	1.18788
48	100	99.6038	99.7917	-0.187879	0.396212
49	100	99.8246	99.7083	0.116288	0.175379
50	99	99.1621	99.75	-0.587879	-0.162121
51	98	100.179	99.875	0.303788	-2.17879
52	100	99.5413	99.8333	-0.292045	0.458712
53	100	99.8705	99.6667	0.203788	0.129545
54	100	99.9746	99.5833	0.391288	0.0253788
55	99	99.6682	99.7083	-0.0401515	-0.668182
56	101	99.6227	99.8333	-0.210606	1.37727
57	100	100.267	99.8333	0.433333	-0.266667
58	99	99.7663	99.7917	-0.0253788	-0.766288
59	99	99.6455	99.75	-0.104545	-0.645455
60	100	99.5621	99.75	-0.187879	0.437879
61	103	99.9496	99.8333	0.116288	3.05038
62	99	99.2871	99.875	-0.587879	-0.287121
63	98	100.137	99.8333	0.303788	-2.13712
64	99	99.583	99.875	-0.292045	-0.582955
65	100	100.12	99.9167	0.203788	-0.120455
66	100	100.308	99.9167	0.391288	-0.307955
67	101	99.6682	99.7083	-0.0401515	1.33182
68	100	99.2894	99.5	-0.210606	0.710606
69	100	100.183	99.75	0.433333	-0.183333
70	100	100.016	100.042	-0.0253788	-0.0162879
71	99	99.9788	100.083	-0.104545	-0.978788
72	100	99.8538	100.042	-0.187879	0.146212
73	98	100.075	99.9583	0.116288	-2.07462
74	99	99.2455	99.8333	-0.587879	-0.245455
75	104	100.095	99.7917	0.303788	3.90455
76	100	99.583	99.875	-0.292045	0.417045
77	100	100.12	99.9167	0.203788	-0.120455
78	99	100.266	99.875	0.391288	-1.26629
79	100	99.8765	99.9167	-0.0401515	0.123485
80	98	99.7894	100	-0.210606	-1.78939
81	101	100.225	99.7917	0.433333	0.775
82	101	99.5163	99.5417	-0.0253788	1.48371
83	99	99.3955	99.5	-0.104545	-0.395455
84	99	99.3121	99.5	-0.187879	-0.312121
85	100	99.6996	99.5833	0.116288	0.300379
86	99	99.1621	99.75	-0.587879	-0.162121
87	99	100.054	99.75	0.303788	-1.05379
88	99	99.333	99.625	-0.292045	-0.332955
89	100	99.8705	99.6667	0.203788	0.129545
90	99	100.266	99.875	0.391288	-1.26629
91	102	99.9182	99.9583	-0.0401515	2.08182
92	100	99.7061	99.9167	-0.210606	0.293939
93	99	100.433	100	0.433333	-1.43333
94	100	100.1	100.125	-0.0253788	-0.0996212
95	101	100.062	100.167	-0.104545	0.937879
96	102	100.02	100.208	-0.187879	1.97955
97	99	100.158	100.042	0.116288	-1.15795
98	99	99.2038	99.7917	-0.587879	-0.203788
99	101	100.054	99.75	0.303788	0.946212
100	100	99.458	99.75	-0.292045	0.542045
101	100	99.8705	99.6667	0.203788	0.129545
102	100	99.808	99.4167	0.391288	0.192045
103	97	99.2515	99.2917	-0.0401515	-2.25152
104	99	99.1644	99.375	-0.210606	-0.164394
105	99	99.8917	99.4583	0.433333	-0.891667
106	100	99.4746	99.5	-0.0253788	0.525379
107	99	99.3538	99.4583	-0.104545	-0.353788
108	98	99.3538	99.5417	-0.187879	-1.35379
109	100	99.908	99.7917	0.116288	0.0920455
110	100	99.3705	99.9583	-0.587879	0.629545
111	102	100.345	100.042	0.303788	1.65455
112	100	99.7496	100.042	-0.292045	0.250379
113	99	100.245	100.042	0.203788	-1.24545
114	103	100.516	100.125	0.391288	2.48371
115	100	100.127	100.167	-0.0401515	-0.126515
116	100	99.9144	100.125	-0.210606	0.0856061
117	100	100.392	99.9583	0.433333	-0.391667
118	99	99.808	99.8333	-0.0253788	-0.807955
119	100	99.7288	99.8333	-0.104545	0.271212
120	99	99.5621	99.75	-0.187879	-0.562121
121	100	99.7413	99.625	0.116288	0.258712
122	99	99.0371	99.625	-0.587879	-0.0371212
123	99	99.9705	99.6667	0.303788	-0.970455
124	100	99.3746	99.6667	-0.292045	0.625379
125	99	99.9121	99.7083	0.203788	-0.912121
126	101	100.225	99.8333	0.391288	0.775379
127	99	99.8348	99.875	-0.0401515	-0.834848
128	101	99.6644	99.875	-0.210606	1.33561
129	100	100.35	99.9167	0.433333	-0.35
130	99	NA	NA	-0.0253788	NA
131	101	NA	NA	-0.104545	NA
132	101	NA	NA	-0.187879	NA
133	99	NA	NA	0.116288	NA
134	100	NA	NA	-0.587879	NA
135	99	NA	NA	0.303788	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 101 & NA & NA & 0.116288 & NA \tabularnewline
2 & 101 & NA & NA & -0.587879 & NA \tabularnewline
3 & 100 & NA & NA & 0.303788 & NA \tabularnewline
4 & 101 & NA & NA & -0.292045 & NA \tabularnewline
5 & 103 & NA & NA & 0.203788 & NA \tabularnewline
6 & 101 & NA & NA & 0.391288 & NA \tabularnewline
7 & 100 & 100.335 & 100.375 & -0.0401515 & -0.334848 \tabularnewline
8 & 99 & 100.081 & 100.292 & -0.210606 & -1.08106 \tabularnewline
9 & 100 & 100.683 & 100.25 & 0.433333 & -0.683333 \tabularnewline
10 & 100 & 100.225 & 100.25 & -0.0253788 & -0.224621 \tabularnewline
11 & 99 & 99.9788 & 100.083 & -0.104545 & -0.978788 \tabularnewline
12 & 100 & 99.6455 & 99.8333 & -0.187879 & 0.354545 \tabularnewline
13 & 100 & 99.8663 & 99.75 & 0.116288 & 0.133712 \tabularnewline
14 & 100 & 99.2038 & 99.7917 & -0.587879 & 0.796212 \tabularnewline
15 & 100 & 100.137 & 99.8333 & 0.303788 & -0.137121 \tabularnewline
16 & 101 & 99.4996 & 99.7917 & -0.292045 & 1.50038 \tabularnewline
17 & 99 & 100.079 & 99.875 & 0.203788 & -1.07879 \tabularnewline
18 & 99 & 100.391 & 100 & 0.391288 & -1.39129 \tabularnewline
19 & 100 & 99.9598 & 100 & -0.0401515 & 0.0401515 \tabularnewline
20 & 100 & 99.7477 & 99.9583 & -0.210606 & 0.252273 \tabularnewline
21 & 100 & 100.392 & 99.9583 & 0.433333 & -0.391667 \tabularnewline
22 & 99 & 99.808 & 99.8333 & -0.0253788 & -0.807955 \tabularnewline
23 & 102 & 99.6871 & 99.7917 & -0.104545 & 2.31288 \tabularnewline
24 & 100 & 99.8121 & 100 & -0.187879 & 0.187879 \tabularnewline
25 & 100 & 100.241 & 100.125 & 0.116288 & -0.241288 \tabularnewline
26 & 99 & 99.5788 & 100.167 & -0.587879 & -0.578788 \tabularnewline
27 & 101 & 100.72 & 100.417 & 0.303788 & 0.279545 \tabularnewline
28 & 97 & 100.416 & 100.708 & -0.292045 & -3.41629 \tabularnewline
29 & 102 & 100.829 & 100.625 & 0.203788 & 1.17121 \tabularnewline
30 & 101 & 100.85 & 100.458 & 0.391288 & 0.150379 \tabularnewline
31 & 101 & 100.377 & 100.417 & -0.0401515 & 0.623485 \tabularnewline
32 & 100 & 100.248 & 100.458 & -0.210606 & -0.247727 \tabularnewline
33 & 106 & 100.892 & 100.458 & 0.433333 & 5.10833 \tabularnewline
34 & 100 & 100.516 & 100.542 & -0.0253788 & -0.516288 \tabularnewline
35 & 99 & 100.562 & 100.667 & -0.104545 & -1.56212 \tabularnewline
36 & 99 & 100.479 & 100.667 & -0.187879 & -1.47879 \tabularnewline
37 & 100 & 100.741 & 100.625 & 0.116288 & -0.741288 \tabularnewline
38 & 100 & 99.9538 & 100.542 & -0.587879 & 0.0462121 \tabularnewline
39 & 100 & 100.512 & 100.208 & 0.303788 & -0.512121 \tabularnewline
40 & 100 & 99.6663 & 99.9583 & -0.292045 & 0.333712 \tabularnewline
41 & 102 & 100.287 & 100.083 & 0.203788 & 1.71288 \tabularnewline
42 & 101 & 100.6 & 100.208 & 0.391288 & 0.400379 \tabularnewline
43 & 100 & 100.21 & 100.25 & -0.0401515 & -0.209848 \tabularnewline
44 & 99 & 99.9977 & 100.208 & -0.210606 & -0.997727 \tabularnewline
45 & 99 & 100.517 & 100.083 & 0.433333 & -1.51667 \tabularnewline
46 & 101 & 99.9746 & 100 & -0.0253788 & 1.02538 \tabularnewline
47 & 101 & 99.8121 & 99.9167 & -0.104545 & 1.18788 \tabularnewline
48 & 100 & 99.6038 & 99.7917 & -0.187879 & 0.396212 \tabularnewline
49 & 100 & 99.8246 & 99.7083 & 0.116288 & 0.175379 \tabularnewline
50 & 99 & 99.1621 & 99.75 & -0.587879 & -0.162121 \tabularnewline
51 & 98 & 100.179 & 99.875 & 0.303788 & -2.17879 \tabularnewline
52 & 100 & 99.5413 & 99.8333 & -0.292045 & 0.458712 \tabularnewline
53 & 100 & 99.8705 & 99.6667 & 0.203788 & 0.129545 \tabularnewline
54 & 100 & 99.9746 & 99.5833 & 0.391288 & 0.0253788 \tabularnewline
55 & 99 & 99.6682 & 99.7083 & -0.0401515 & -0.668182 \tabularnewline
56 & 101 & 99.6227 & 99.8333 & -0.210606 & 1.37727 \tabularnewline
57 & 100 & 100.267 & 99.8333 & 0.433333 & -0.266667 \tabularnewline
58 & 99 & 99.7663 & 99.7917 & -0.0253788 & -0.766288 \tabularnewline
59 & 99 & 99.6455 & 99.75 & -0.104545 & -0.645455 \tabularnewline
60 & 100 & 99.5621 & 99.75 & -0.187879 & 0.437879 \tabularnewline
61 & 103 & 99.9496 & 99.8333 & 0.116288 & 3.05038 \tabularnewline
62 & 99 & 99.2871 & 99.875 & -0.587879 & -0.287121 \tabularnewline
63 & 98 & 100.137 & 99.8333 & 0.303788 & -2.13712 \tabularnewline
64 & 99 & 99.583 & 99.875 & -0.292045 & -0.582955 \tabularnewline
65 & 100 & 100.12 & 99.9167 & 0.203788 & -0.120455 \tabularnewline
66 & 100 & 100.308 & 99.9167 & 0.391288 & -0.307955 \tabularnewline
67 & 101 & 99.6682 & 99.7083 & -0.0401515 & 1.33182 \tabularnewline
68 & 100 & 99.2894 & 99.5 & -0.210606 & 0.710606 \tabularnewline
69 & 100 & 100.183 & 99.75 & 0.433333 & -0.183333 \tabularnewline
70 & 100 & 100.016 & 100.042 & -0.0253788 & -0.0162879 \tabularnewline
71 & 99 & 99.9788 & 100.083 & -0.104545 & -0.978788 \tabularnewline
72 & 100 & 99.8538 & 100.042 & -0.187879 & 0.146212 \tabularnewline
73 & 98 & 100.075 & 99.9583 & 0.116288 & -2.07462 \tabularnewline
74 & 99 & 99.2455 & 99.8333 & -0.587879 & -0.245455 \tabularnewline
75 & 104 & 100.095 & 99.7917 & 0.303788 & 3.90455 \tabularnewline
76 & 100 & 99.583 & 99.875 & -0.292045 & 0.417045 \tabularnewline
77 & 100 & 100.12 & 99.9167 & 0.203788 & -0.120455 \tabularnewline
78 & 99 & 100.266 & 99.875 & 0.391288 & -1.26629 \tabularnewline
79 & 100 & 99.8765 & 99.9167 & -0.0401515 & 0.123485 \tabularnewline
80 & 98 & 99.7894 & 100 & -0.210606 & -1.78939 \tabularnewline
81 & 101 & 100.225 & 99.7917 & 0.433333 & 0.775 \tabularnewline
82 & 101 & 99.5163 & 99.5417 & -0.0253788 & 1.48371 \tabularnewline
83 & 99 & 99.3955 & 99.5 & -0.104545 & -0.395455 \tabularnewline
84 & 99 & 99.3121 & 99.5 & -0.187879 & -0.312121 \tabularnewline
85 & 100 & 99.6996 & 99.5833 & 0.116288 & 0.300379 \tabularnewline
86 & 99 & 99.1621 & 99.75 & -0.587879 & -0.162121 \tabularnewline
87 & 99 & 100.054 & 99.75 & 0.303788 & -1.05379 \tabularnewline
88 & 99 & 99.333 & 99.625 & -0.292045 & -0.332955 \tabularnewline
89 & 100 & 99.8705 & 99.6667 & 0.203788 & 0.129545 \tabularnewline
90 & 99 & 100.266 & 99.875 & 0.391288 & -1.26629 \tabularnewline
91 & 102 & 99.9182 & 99.9583 & -0.0401515 & 2.08182 \tabularnewline
92 & 100 & 99.7061 & 99.9167 & -0.210606 & 0.293939 \tabularnewline
93 & 99 & 100.433 & 100 & 0.433333 & -1.43333 \tabularnewline
94 & 100 & 100.1 & 100.125 & -0.0253788 & -0.0996212 \tabularnewline
95 & 101 & 100.062 & 100.167 & -0.104545 & 0.937879 \tabularnewline
96 & 102 & 100.02 & 100.208 & -0.187879 & 1.97955 \tabularnewline
97 & 99 & 100.158 & 100.042 & 0.116288 & -1.15795 \tabularnewline
98 & 99 & 99.2038 & 99.7917 & -0.587879 & -0.203788 \tabularnewline
99 & 101 & 100.054 & 99.75 & 0.303788 & 0.946212 \tabularnewline
100 & 100 & 99.458 & 99.75 & -0.292045 & 0.542045 \tabularnewline
101 & 100 & 99.8705 & 99.6667 & 0.203788 & 0.129545 \tabularnewline
102 & 100 & 99.808 & 99.4167 & 0.391288 & 0.192045 \tabularnewline
103 & 97 & 99.2515 & 99.2917 & -0.0401515 & -2.25152 \tabularnewline
104 & 99 & 99.1644 & 99.375 & -0.210606 & -0.164394 \tabularnewline
105 & 99 & 99.8917 & 99.4583 & 0.433333 & -0.891667 \tabularnewline
106 & 100 & 99.4746 & 99.5 & -0.0253788 & 0.525379 \tabularnewline
107 & 99 & 99.3538 & 99.4583 & -0.104545 & -0.353788 \tabularnewline
108 & 98 & 99.3538 & 99.5417 & -0.187879 & -1.35379 \tabularnewline
109 & 100 & 99.908 & 99.7917 & 0.116288 & 0.0920455 \tabularnewline
110 & 100 & 99.3705 & 99.9583 & -0.587879 & 0.629545 \tabularnewline
111 & 102 & 100.345 & 100.042 & 0.303788 & 1.65455 \tabularnewline
112 & 100 & 99.7496 & 100.042 & -0.292045 & 0.250379 \tabularnewline
113 & 99 & 100.245 & 100.042 & 0.203788 & -1.24545 \tabularnewline
114 & 103 & 100.516 & 100.125 & 0.391288 & 2.48371 \tabularnewline
115 & 100 & 100.127 & 100.167 & -0.0401515 & -0.126515 \tabularnewline
116 & 100 & 99.9144 & 100.125 & -0.210606 & 0.0856061 \tabularnewline
117 & 100 & 100.392 & 99.9583 & 0.433333 & -0.391667 \tabularnewline
118 & 99 & 99.808 & 99.8333 & -0.0253788 & -0.807955 \tabularnewline
119 & 100 & 99.7288 & 99.8333 & -0.104545 & 0.271212 \tabularnewline
120 & 99 & 99.5621 & 99.75 & -0.187879 & -0.562121 \tabularnewline
121 & 100 & 99.7413 & 99.625 & 0.116288 & 0.258712 \tabularnewline
122 & 99 & 99.0371 & 99.625 & -0.587879 & -0.0371212 \tabularnewline
123 & 99 & 99.9705 & 99.6667 & 0.303788 & -0.970455 \tabularnewline
124 & 100 & 99.3746 & 99.6667 & -0.292045 & 0.625379 \tabularnewline
125 & 99 & 99.9121 & 99.7083 & 0.203788 & -0.912121 \tabularnewline
126 & 101 & 100.225 & 99.8333 & 0.391288 & 0.775379 \tabularnewline
127 & 99 & 99.8348 & 99.875 & -0.0401515 & -0.834848 \tabularnewline
128 & 101 & 99.6644 & 99.875 & -0.210606 & 1.33561 \tabularnewline
129 & 100 & 100.35 & 99.9167 & 0.433333 & -0.35 \tabularnewline
130 & 99 & NA & NA & -0.0253788 & NA \tabularnewline
131 & 101 & NA & NA & -0.104545 & NA \tabularnewline
132 & 101 & NA & NA & -0.187879 & NA \tabularnewline
133 & 99 & NA & NA & 0.116288 & NA \tabularnewline
134 & 100 & NA & NA & -0.587879 & NA \tabularnewline
135 & 99 & NA & NA & 0.303788 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301075&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]101[/C][C]NA[/C][C]NA[/C][C]0.116288[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]101[/C][C]NA[/C][C]NA[/C][C]-0.587879[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]100[/C][C]NA[/C][C]NA[/C][C]0.303788[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]101[/C][C]NA[/C][C]NA[/C][C]-0.292045[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]103[/C][C]NA[/C][C]NA[/C][C]0.203788[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]101[/C][C]NA[/C][C]NA[/C][C]0.391288[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]100[/C][C]100.335[/C][C]100.375[/C][C]-0.0401515[/C][C]-0.334848[/C][/ROW]
[ROW][C]8[/C][C]99[/C][C]100.081[/C][C]100.292[/C][C]-0.210606[/C][C]-1.08106[/C][/ROW]
[ROW][C]9[/C][C]100[/C][C]100.683[/C][C]100.25[/C][C]0.433333[/C][C]-0.683333[/C][/ROW]
[ROW][C]10[/C][C]100[/C][C]100.225[/C][C]100.25[/C][C]-0.0253788[/C][C]-0.224621[/C][/ROW]
[ROW][C]11[/C][C]99[/C][C]99.9788[/C][C]100.083[/C][C]-0.104545[/C][C]-0.978788[/C][/ROW]
[ROW][C]12[/C][C]100[/C][C]99.6455[/C][C]99.8333[/C][C]-0.187879[/C][C]0.354545[/C][/ROW]
[ROW][C]13[/C][C]100[/C][C]99.8663[/C][C]99.75[/C][C]0.116288[/C][C]0.133712[/C][/ROW]
[ROW][C]14[/C][C]100[/C][C]99.2038[/C][C]99.7917[/C][C]-0.587879[/C][C]0.796212[/C][/ROW]
[ROW][C]15[/C][C]100[/C][C]100.137[/C][C]99.8333[/C][C]0.303788[/C][C]-0.137121[/C][/ROW]
[ROW][C]16[/C][C]101[/C][C]99.4996[/C][C]99.7917[/C][C]-0.292045[/C][C]1.50038[/C][/ROW]
[ROW][C]17[/C][C]99[/C][C]100.079[/C][C]99.875[/C][C]0.203788[/C][C]-1.07879[/C][/ROW]
[ROW][C]18[/C][C]99[/C][C]100.391[/C][C]100[/C][C]0.391288[/C][C]-1.39129[/C][/ROW]
[ROW][C]19[/C][C]100[/C][C]99.9598[/C][C]100[/C][C]-0.0401515[/C][C]0.0401515[/C][/ROW]
[ROW][C]20[/C][C]100[/C][C]99.7477[/C][C]99.9583[/C][C]-0.210606[/C][C]0.252273[/C][/ROW]
[ROW][C]21[/C][C]100[/C][C]100.392[/C][C]99.9583[/C][C]0.433333[/C][C]-0.391667[/C][/ROW]
[ROW][C]22[/C][C]99[/C][C]99.808[/C][C]99.8333[/C][C]-0.0253788[/C][C]-0.807955[/C][/ROW]
[ROW][C]23[/C][C]102[/C][C]99.6871[/C][C]99.7917[/C][C]-0.104545[/C][C]2.31288[/C][/ROW]
[ROW][C]24[/C][C]100[/C][C]99.8121[/C][C]100[/C][C]-0.187879[/C][C]0.187879[/C][/ROW]
[ROW][C]25[/C][C]100[/C][C]100.241[/C][C]100.125[/C][C]0.116288[/C][C]-0.241288[/C][/ROW]
[ROW][C]26[/C][C]99[/C][C]99.5788[/C][C]100.167[/C][C]-0.587879[/C][C]-0.578788[/C][/ROW]
[ROW][C]27[/C][C]101[/C][C]100.72[/C][C]100.417[/C][C]0.303788[/C][C]0.279545[/C][/ROW]
[ROW][C]28[/C][C]97[/C][C]100.416[/C][C]100.708[/C][C]-0.292045[/C][C]-3.41629[/C][/ROW]
[ROW][C]29[/C][C]102[/C][C]100.829[/C][C]100.625[/C][C]0.203788[/C][C]1.17121[/C][/ROW]
[ROW][C]30[/C][C]101[/C][C]100.85[/C][C]100.458[/C][C]0.391288[/C][C]0.150379[/C][/ROW]
[ROW][C]31[/C][C]101[/C][C]100.377[/C][C]100.417[/C][C]-0.0401515[/C][C]0.623485[/C][/ROW]
[ROW][C]32[/C][C]100[/C][C]100.248[/C][C]100.458[/C][C]-0.210606[/C][C]-0.247727[/C][/ROW]
[ROW][C]33[/C][C]106[/C][C]100.892[/C][C]100.458[/C][C]0.433333[/C][C]5.10833[/C][/ROW]
[ROW][C]34[/C][C]100[/C][C]100.516[/C][C]100.542[/C][C]-0.0253788[/C][C]-0.516288[/C][/ROW]
[ROW][C]35[/C][C]99[/C][C]100.562[/C][C]100.667[/C][C]-0.104545[/C][C]-1.56212[/C][/ROW]
[ROW][C]36[/C][C]99[/C][C]100.479[/C][C]100.667[/C][C]-0.187879[/C][C]-1.47879[/C][/ROW]
[ROW][C]37[/C][C]100[/C][C]100.741[/C][C]100.625[/C][C]0.116288[/C][C]-0.741288[/C][/ROW]
[ROW][C]38[/C][C]100[/C][C]99.9538[/C][C]100.542[/C][C]-0.587879[/C][C]0.0462121[/C][/ROW]
[ROW][C]39[/C][C]100[/C][C]100.512[/C][C]100.208[/C][C]0.303788[/C][C]-0.512121[/C][/ROW]
[ROW][C]40[/C][C]100[/C][C]99.6663[/C][C]99.9583[/C][C]-0.292045[/C][C]0.333712[/C][/ROW]
[ROW][C]41[/C][C]102[/C][C]100.287[/C][C]100.083[/C][C]0.203788[/C][C]1.71288[/C][/ROW]
[ROW][C]42[/C][C]101[/C][C]100.6[/C][C]100.208[/C][C]0.391288[/C][C]0.400379[/C][/ROW]
[ROW][C]43[/C][C]100[/C][C]100.21[/C][C]100.25[/C][C]-0.0401515[/C][C]-0.209848[/C][/ROW]
[ROW][C]44[/C][C]99[/C][C]99.9977[/C][C]100.208[/C][C]-0.210606[/C][C]-0.997727[/C][/ROW]
[ROW][C]45[/C][C]99[/C][C]100.517[/C][C]100.083[/C][C]0.433333[/C][C]-1.51667[/C][/ROW]
[ROW][C]46[/C][C]101[/C][C]99.9746[/C][C]100[/C][C]-0.0253788[/C][C]1.02538[/C][/ROW]
[ROW][C]47[/C][C]101[/C][C]99.8121[/C][C]99.9167[/C][C]-0.104545[/C][C]1.18788[/C][/ROW]
[ROW][C]48[/C][C]100[/C][C]99.6038[/C][C]99.7917[/C][C]-0.187879[/C][C]0.396212[/C][/ROW]
[ROW][C]49[/C][C]100[/C][C]99.8246[/C][C]99.7083[/C][C]0.116288[/C][C]0.175379[/C][/ROW]
[ROW][C]50[/C][C]99[/C][C]99.1621[/C][C]99.75[/C][C]-0.587879[/C][C]-0.162121[/C][/ROW]
[ROW][C]51[/C][C]98[/C][C]100.179[/C][C]99.875[/C][C]0.303788[/C][C]-2.17879[/C][/ROW]
[ROW][C]52[/C][C]100[/C][C]99.5413[/C][C]99.8333[/C][C]-0.292045[/C][C]0.458712[/C][/ROW]
[ROW][C]53[/C][C]100[/C][C]99.8705[/C][C]99.6667[/C][C]0.203788[/C][C]0.129545[/C][/ROW]
[ROW][C]54[/C][C]100[/C][C]99.9746[/C][C]99.5833[/C][C]0.391288[/C][C]0.0253788[/C][/ROW]
[ROW][C]55[/C][C]99[/C][C]99.6682[/C][C]99.7083[/C][C]-0.0401515[/C][C]-0.668182[/C][/ROW]
[ROW][C]56[/C][C]101[/C][C]99.6227[/C][C]99.8333[/C][C]-0.210606[/C][C]1.37727[/C][/ROW]
[ROW][C]57[/C][C]100[/C][C]100.267[/C][C]99.8333[/C][C]0.433333[/C][C]-0.266667[/C][/ROW]
[ROW][C]58[/C][C]99[/C][C]99.7663[/C][C]99.7917[/C][C]-0.0253788[/C][C]-0.766288[/C][/ROW]
[ROW][C]59[/C][C]99[/C][C]99.6455[/C][C]99.75[/C][C]-0.104545[/C][C]-0.645455[/C][/ROW]
[ROW][C]60[/C][C]100[/C][C]99.5621[/C][C]99.75[/C][C]-0.187879[/C][C]0.437879[/C][/ROW]
[ROW][C]61[/C][C]103[/C][C]99.9496[/C][C]99.8333[/C][C]0.116288[/C][C]3.05038[/C][/ROW]
[ROW][C]62[/C][C]99[/C][C]99.2871[/C][C]99.875[/C][C]-0.587879[/C][C]-0.287121[/C][/ROW]
[ROW][C]63[/C][C]98[/C][C]100.137[/C][C]99.8333[/C][C]0.303788[/C][C]-2.13712[/C][/ROW]
[ROW][C]64[/C][C]99[/C][C]99.583[/C][C]99.875[/C][C]-0.292045[/C][C]-0.582955[/C][/ROW]
[ROW][C]65[/C][C]100[/C][C]100.12[/C][C]99.9167[/C][C]0.203788[/C][C]-0.120455[/C][/ROW]
[ROW][C]66[/C][C]100[/C][C]100.308[/C][C]99.9167[/C][C]0.391288[/C][C]-0.307955[/C][/ROW]
[ROW][C]67[/C][C]101[/C][C]99.6682[/C][C]99.7083[/C][C]-0.0401515[/C][C]1.33182[/C][/ROW]
[ROW][C]68[/C][C]100[/C][C]99.2894[/C][C]99.5[/C][C]-0.210606[/C][C]0.710606[/C][/ROW]
[ROW][C]69[/C][C]100[/C][C]100.183[/C][C]99.75[/C][C]0.433333[/C][C]-0.183333[/C][/ROW]
[ROW][C]70[/C][C]100[/C][C]100.016[/C][C]100.042[/C][C]-0.0253788[/C][C]-0.0162879[/C][/ROW]
[ROW][C]71[/C][C]99[/C][C]99.9788[/C][C]100.083[/C][C]-0.104545[/C][C]-0.978788[/C][/ROW]
[ROW][C]72[/C][C]100[/C][C]99.8538[/C][C]100.042[/C][C]-0.187879[/C][C]0.146212[/C][/ROW]
[ROW][C]73[/C][C]98[/C][C]100.075[/C][C]99.9583[/C][C]0.116288[/C][C]-2.07462[/C][/ROW]
[ROW][C]74[/C][C]99[/C][C]99.2455[/C][C]99.8333[/C][C]-0.587879[/C][C]-0.245455[/C][/ROW]
[ROW][C]75[/C][C]104[/C][C]100.095[/C][C]99.7917[/C][C]0.303788[/C][C]3.90455[/C][/ROW]
[ROW][C]76[/C][C]100[/C][C]99.583[/C][C]99.875[/C][C]-0.292045[/C][C]0.417045[/C][/ROW]
[ROW][C]77[/C][C]100[/C][C]100.12[/C][C]99.9167[/C][C]0.203788[/C][C]-0.120455[/C][/ROW]
[ROW][C]78[/C][C]99[/C][C]100.266[/C][C]99.875[/C][C]0.391288[/C][C]-1.26629[/C][/ROW]
[ROW][C]79[/C][C]100[/C][C]99.8765[/C][C]99.9167[/C][C]-0.0401515[/C][C]0.123485[/C][/ROW]
[ROW][C]80[/C][C]98[/C][C]99.7894[/C][C]100[/C][C]-0.210606[/C][C]-1.78939[/C][/ROW]
[ROW][C]81[/C][C]101[/C][C]100.225[/C][C]99.7917[/C][C]0.433333[/C][C]0.775[/C][/ROW]
[ROW][C]82[/C][C]101[/C][C]99.5163[/C][C]99.5417[/C][C]-0.0253788[/C][C]1.48371[/C][/ROW]
[ROW][C]83[/C][C]99[/C][C]99.3955[/C][C]99.5[/C][C]-0.104545[/C][C]-0.395455[/C][/ROW]
[ROW][C]84[/C][C]99[/C][C]99.3121[/C][C]99.5[/C][C]-0.187879[/C][C]-0.312121[/C][/ROW]
[ROW][C]85[/C][C]100[/C][C]99.6996[/C][C]99.5833[/C][C]0.116288[/C][C]0.300379[/C][/ROW]
[ROW][C]86[/C][C]99[/C][C]99.1621[/C][C]99.75[/C][C]-0.587879[/C][C]-0.162121[/C][/ROW]
[ROW][C]87[/C][C]99[/C][C]100.054[/C][C]99.75[/C][C]0.303788[/C][C]-1.05379[/C][/ROW]
[ROW][C]88[/C][C]99[/C][C]99.333[/C][C]99.625[/C][C]-0.292045[/C][C]-0.332955[/C][/ROW]
[ROW][C]89[/C][C]100[/C][C]99.8705[/C][C]99.6667[/C][C]0.203788[/C][C]0.129545[/C][/ROW]
[ROW][C]90[/C][C]99[/C][C]100.266[/C][C]99.875[/C][C]0.391288[/C][C]-1.26629[/C][/ROW]
[ROW][C]91[/C][C]102[/C][C]99.9182[/C][C]99.9583[/C][C]-0.0401515[/C][C]2.08182[/C][/ROW]
[ROW][C]92[/C][C]100[/C][C]99.7061[/C][C]99.9167[/C][C]-0.210606[/C][C]0.293939[/C][/ROW]
[ROW][C]93[/C][C]99[/C][C]100.433[/C][C]100[/C][C]0.433333[/C][C]-1.43333[/C][/ROW]
[ROW][C]94[/C][C]100[/C][C]100.1[/C][C]100.125[/C][C]-0.0253788[/C][C]-0.0996212[/C][/ROW]
[ROW][C]95[/C][C]101[/C][C]100.062[/C][C]100.167[/C][C]-0.104545[/C][C]0.937879[/C][/ROW]
[ROW][C]96[/C][C]102[/C][C]100.02[/C][C]100.208[/C][C]-0.187879[/C][C]1.97955[/C][/ROW]
[ROW][C]97[/C][C]99[/C][C]100.158[/C][C]100.042[/C][C]0.116288[/C][C]-1.15795[/C][/ROW]
[ROW][C]98[/C][C]99[/C][C]99.2038[/C][C]99.7917[/C][C]-0.587879[/C][C]-0.203788[/C][/ROW]
[ROW][C]99[/C][C]101[/C][C]100.054[/C][C]99.75[/C][C]0.303788[/C][C]0.946212[/C][/ROW]
[ROW][C]100[/C][C]100[/C][C]99.458[/C][C]99.75[/C][C]-0.292045[/C][C]0.542045[/C][/ROW]
[ROW][C]101[/C][C]100[/C][C]99.8705[/C][C]99.6667[/C][C]0.203788[/C][C]0.129545[/C][/ROW]
[ROW][C]102[/C][C]100[/C][C]99.808[/C][C]99.4167[/C][C]0.391288[/C][C]0.192045[/C][/ROW]
[ROW][C]103[/C][C]97[/C][C]99.2515[/C][C]99.2917[/C][C]-0.0401515[/C][C]-2.25152[/C][/ROW]
[ROW][C]104[/C][C]99[/C][C]99.1644[/C][C]99.375[/C][C]-0.210606[/C][C]-0.164394[/C][/ROW]
[ROW][C]105[/C][C]99[/C][C]99.8917[/C][C]99.4583[/C][C]0.433333[/C][C]-0.891667[/C][/ROW]
[ROW][C]106[/C][C]100[/C][C]99.4746[/C][C]99.5[/C][C]-0.0253788[/C][C]0.525379[/C][/ROW]
[ROW][C]107[/C][C]99[/C][C]99.3538[/C][C]99.4583[/C][C]-0.104545[/C][C]-0.353788[/C][/ROW]
[ROW][C]108[/C][C]98[/C][C]99.3538[/C][C]99.5417[/C][C]-0.187879[/C][C]-1.35379[/C][/ROW]
[ROW][C]109[/C][C]100[/C][C]99.908[/C][C]99.7917[/C][C]0.116288[/C][C]0.0920455[/C][/ROW]
[ROW][C]110[/C][C]100[/C][C]99.3705[/C][C]99.9583[/C][C]-0.587879[/C][C]0.629545[/C][/ROW]
[ROW][C]111[/C][C]102[/C][C]100.345[/C][C]100.042[/C][C]0.303788[/C][C]1.65455[/C][/ROW]
[ROW][C]112[/C][C]100[/C][C]99.7496[/C][C]100.042[/C][C]-0.292045[/C][C]0.250379[/C][/ROW]
[ROW][C]113[/C][C]99[/C][C]100.245[/C][C]100.042[/C][C]0.203788[/C][C]-1.24545[/C][/ROW]
[ROW][C]114[/C][C]103[/C][C]100.516[/C][C]100.125[/C][C]0.391288[/C][C]2.48371[/C][/ROW]
[ROW][C]115[/C][C]100[/C][C]100.127[/C][C]100.167[/C][C]-0.0401515[/C][C]-0.126515[/C][/ROW]
[ROW][C]116[/C][C]100[/C][C]99.9144[/C][C]100.125[/C][C]-0.210606[/C][C]0.0856061[/C][/ROW]
[ROW][C]117[/C][C]100[/C][C]100.392[/C][C]99.9583[/C][C]0.433333[/C][C]-0.391667[/C][/ROW]
[ROW][C]118[/C][C]99[/C][C]99.808[/C][C]99.8333[/C][C]-0.0253788[/C][C]-0.807955[/C][/ROW]
[ROW][C]119[/C][C]100[/C][C]99.7288[/C][C]99.8333[/C][C]-0.104545[/C][C]0.271212[/C][/ROW]
[ROW][C]120[/C][C]99[/C][C]99.5621[/C][C]99.75[/C][C]-0.187879[/C][C]-0.562121[/C][/ROW]
[ROW][C]121[/C][C]100[/C][C]99.7413[/C][C]99.625[/C][C]0.116288[/C][C]0.258712[/C][/ROW]
[ROW][C]122[/C][C]99[/C][C]99.0371[/C][C]99.625[/C][C]-0.587879[/C][C]-0.0371212[/C][/ROW]
[ROW][C]123[/C][C]99[/C][C]99.9705[/C][C]99.6667[/C][C]0.303788[/C][C]-0.970455[/C][/ROW]
[ROW][C]124[/C][C]100[/C][C]99.3746[/C][C]99.6667[/C][C]-0.292045[/C][C]0.625379[/C][/ROW]
[ROW][C]125[/C][C]99[/C][C]99.9121[/C][C]99.7083[/C][C]0.203788[/C][C]-0.912121[/C][/ROW]
[ROW][C]126[/C][C]101[/C][C]100.225[/C][C]99.8333[/C][C]0.391288[/C][C]0.775379[/C][/ROW]
[ROW][C]127[/C][C]99[/C][C]99.8348[/C][C]99.875[/C][C]-0.0401515[/C][C]-0.834848[/C][/ROW]
[ROW][C]128[/C][C]101[/C][C]99.6644[/C][C]99.875[/C][C]-0.210606[/C][C]1.33561[/C][/ROW]
[ROW][C]129[/C][C]100[/C][C]100.35[/C][C]99.9167[/C][C]0.433333[/C][C]-0.35[/C][/ROW]
[ROW][C]130[/C][C]99[/C][C]NA[/C][C]NA[/C][C]-0.0253788[/C][C]NA[/C][/ROW]
[ROW][C]131[/C][C]101[/C][C]NA[/C][C]NA[/C][C]-0.104545[/C][C]NA[/C][/ROW]
[ROW][C]132[/C][C]101[/C][C]NA[/C][C]NA[/C][C]-0.187879[/C][C]NA[/C][/ROW]
[ROW][C]133[/C][C]99[/C][C]NA[/C][C]NA[/C][C]0.116288[/C][C]NA[/C][/ROW]
[ROW][C]134[/C][C]100[/C][C]NA[/C][C]NA[/C][C]-0.587879[/C][C]NA[/C][/ROW]
[ROW][C]135[/C][C]99[/C][C]NA[/C][C]NA[/C][C]0.303788[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301075&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301075&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	101	NA	NA	0.116288	NA
2	101	NA	NA	-0.587879	NA
3	100	NA	NA	0.303788	NA
4	101	NA	NA	-0.292045	NA
5	103	NA	NA	0.203788	NA
6	101	NA	NA	0.391288	NA
7	100	100.335	100.375	-0.0401515	-0.334848
8	99	100.081	100.292	-0.210606	-1.08106
9	100	100.683	100.25	0.433333	-0.683333
10	100	100.225	100.25	-0.0253788	-0.224621
11	99	99.9788	100.083	-0.104545	-0.978788
12	100	99.6455	99.8333	-0.187879	0.354545
13	100	99.8663	99.75	0.116288	0.133712
14	100	99.2038	99.7917	-0.587879	0.796212
15	100	100.137	99.8333	0.303788	-0.137121
16	101	99.4996	99.7917	-0.292045	1.50038
17	99	100.079	99.875	0.203788	-1.07879
18	99	100.391	100	0.391288	-1.39129
19	100	99.9598	100	-0.0401515	0.0401515
20	100	99.7477	99.9583	-0.210606	0.252273
21	100	100.392	99.9583	0.433333	-0.391667
22	99	99.808	99.8333	-0.0253788	-0.807955
23	102	99.6871	99.7917	-0.104545	2.31288
24	100	99.8121	100	-0.187879	0.187879
25	100	100.241	100.125	0.116288	-0.241288
26	99	99.5788	100.167	-0.587879	-0.578788
27	101	100.72	100.417	0.303788	0.279545
28	97	100.416	100.708	-0.292045	-3.41629
29	102	100.829	100.625	0.203788	1.17121
30	101	100.85	100.458	0.391288	0.150379
31	101	100.377	100.417	-0.0401515	0.623485
32	100	100.248	100.458	-0.210606	-0.247727
33	106	100.892	100.458	0.433333	5.10833
34	100	100.516	100.542	-0.0253788	-0.516288
35	99	100.562	100.667	-0.104545	-1.56212
36	99	100.479	100.667	-0.187879	-1.47879
37	100	100.741	100.625	0.116288	-0.741288
38	100	99.9538	100.542	-0.587879	0.0462121
39	100	100.512	100.208	0.303788	-0.512121
40	100	99.6663	99.9583	-0.292045	0.333712
41	102	100.287	100.083	0.203788	1.71288
42	101	100.6	100.208	0.391288	0.400379
43	100	100.21	100.25	-0.0401515	-0.209848
44	99	99.9977	100.208	-0.210606	-0.997727
45	99	100.517	100.083	0.433333	-1.51667
46	101	99.9746	100	-0.0253788	1.02538
47	101	99.8121	99.9167	-0.104545	1.18788
48	100	99.6038	99.7917	-0.187879	0.396212
49	100	99.8246	99.7083	0.116288	0.175379
50	99	99.1621	99.75	-0.587879	-0.162121
51	98	100.179	99.875	0.303788	-2.17879
52	100	99.5413	99.8333	-0.292045	0.458712
53	100	99.8705	99.6667	0.203788	0.129545
54	100	99.9746	99.5833	0.391288	0.0253788
55	99	99.6682	99.7083	-0.0401515	-0.668182
56	101	99.6227	99.8333	-0.210606	1.37727
57	100	100.267	99.8333	0.433333	-0.266667
58	99	99.7663	99.7917	-0.0253788	-0.766288
59	99	99.6455	99.75	-0.104545	-0.645455
60	100	99.5621	99.75	-0.187879	0.437879
61	103	99.9496	99.8333	0.116288	3.05038
62	99	99.2871	99.875	-0.587879	-0.287121
63	98	100.137	99.8333	0.303788	-2.13712
64	99	99.583	99.875	-0.292045	-0.582955
65	100	100.12	99.9167	0.203788	-0.120455
66	100	100.308	99.9167	0.391288	-0.307955
67	101	99.6682	99.7083	-0.0401515	1.33182
68	100	99.2894	99.5	-0.210606	0.710606
69	100	100.183	99.75	0.433333	-0.183333
70	100	100.016	100.042	-0.0253788	-0.0162879
71	99	99.9788	100.083	-0.104545	-0.978788
72	100	99.8538	100.042	-0.187879	0.146212
73	98	100.075	99.9583	0.116288	-2.07462
74	99	99.2455	99.8333	-0.587879	-0.245455
75	104	100.095	99.7917	0.303788	3.90455
76	100	99.583	99.875	-0.292045	0.417045
77	100	100.12	99.9167	0.203788	-0.120455
78	99	100.266	99.875	0.391288	-1.26629
79	100	99.8765	99.9167	-0.0401515	0.123485
80	98	99.7894	100	-0.210606	-1.78939
81	101	100.225	99.7917	0.433333	0.775
82	101	99.5163	99.5417	-0.0253788	1.48371
83	99	99.3955	99.5	-0.104545	-0.395455
84	99	99.3121	99.5	-0.187879	-0.312121
85	100	99.6996	99.5833	0.116288	0.300379
86	99	99.1621	99.75	-0.587879	-0.162121
87	99	100.054	99.75	0.303788	-1.05379
88	99	99.333	99.625	-0.292045	-0.332955
89	100	99.8705	99.6667	0.203788	0.129545
90	99	100.266	99.875	0.391288	-1.26629
91	102	99.9182	99.9583	-0.0401515	2.08182
92	100	99.7061	99.9167	-0.210606	0.293939
93	99	100.433	100	0.433333	-1.43333
94	100	100.1	100.125	-0.0253788	-0.0996212
95	101	100.062	100.167	-0.104545	0.937879
96	102	100.02	100.208	-0.187879	1.97955
97	99	100.158	100.042	0.116288	-1.15795
98	99	99.2038	99.7917	-0.587879	-0.203788
99	101	100.054	99.75	0.303788	0.946212
100	100	99.458	99.75	-0.292045	0.542045
101	100	99.8705	99.6667	0.203788	0.129545
102	100	99.808	99.4167	0.391288	0.192045
103	97	99.2515	99.2917	-0.0401515	-2.25152
104	99	99.1644	99.375	-0.210606	-0.164394
105	99	99.8917	99.4583	0.433333	-0.891667
106	100	99.4746	99.5	-0.0253788	0.525379
107	99	99.3538	99.4583	-0.104545	-0.353788
108	98	99.3538	99.5417	-0.187879	-1.35379
109	100	99.908	99.7917	0.116288	0.0920455
110	100	99.3705	99.9583	-0.587879	0.629545
111	102	100.345	100.042	0.303788	1.65455
112	100	99.7496	100.042	-0.292045	0.250379
113	99	100.245	100.042	0.203788	-1.24545
114	103	100.516	100.125	0.391288	2.48371
115	100	100.127	100.167	-0.0401515	-0.126515
116	100	99.9144	100.125	-0.210606	0.0856061
117	100	100.392	99.9583	0.433333	-0.391667
118	99	99.808	99.8333	-0.0253788	-0.807955
119	100	99.7288	99.8333	-0.104545	0.271212
120	99	99.5621	99.75	-0.187879	-0.562121
121	100	99.7413	99.625	0.116288	0.258712
122	99	99.0371	99.625	-0.587879	-0.0371212
123	99	99.9705	99.6667	0.303788	-0.970455
124	100	99.3746	99.6667	-0.292045	0.625379
125	99	99.9121	99.7083	0.203788	-0.912121
126	101	100.225	99.8333	0.391288	0.775379
127	99	99.8348	99.875	-0.0401515	-0.834848
128	101	99.6644	99.875	-0.210606	1.33561
129	100	100.35	99.9167	0.433333	-0.35
130	99	NA	NA	-0.0253788	NA
131	101	NA	NA	-0.104545	NA
132	101	NA	NA	-0.187879	NA
133	99	NA	NA	0.116288	NA
134	100	NA	NA	-0.587879	NA
135	99	NA	NA	0.303788	NA

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = additive ; par2 = 12 ;

Parameters (R input):

par1 = additive ; par2 = 12 ;

R code (references can be found in the software module):

par2 <- as.numeric(par2)
x <- ts(x,freq=par2)
m <- decompose(x,type=par1)
m$figure
bitmap(file='test1.png')
plot(m)
dev.off()
mylagmax <- length(x)/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observations',header=TRUE)
a<-table.element(a,'Fit',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Random',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(m$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,signif(m$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