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*Unverified author*

R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Fri, 29 May 2009 03:53:13 -0600

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/29/t1243590871n6vuts7solmr957.htm/, Retrieved Sat, 27 Apr 2024 22:16:33 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40742, Retrieved Sat, 27 Apr 2024 22:16:33 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

172

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

-       [Classical Decomposition] [Vincent Van Roy, ...] [2009-05-29 09:53:13] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   PD    [Classical Decomposition] [Vincent Van Roy, ...] [2009-06-06 16:13:38] [74be16979710d4c4e7c6647856088456] 

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Dataseries X:

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Histogram

Boxplots

4,73
4,73
4,73
4,73
4,74
4,74
4,74
4,74
4,74
4,76
4,76
4,76
4,76
4,76
4,76
4,77
4,77
4,78
4,78
4,79
4,83
4,84
4,85
4,85
4,86
4,87
4,87
4,9
4,9
4,92
4,92
4,95
4,96
4,95
4,95
4,95
4,96
4,96
4,96
4,96
4,97
4,97
4,97
5,03
5,08
5,1
5,11
5,13
5,13
5,13
5,15
5,15
5,15
5,17
5,17
5,18
5,2
5,22
5,23
5,23
5,26
5,27
5,28
5,31
5,31
5,32
5,33
5,34
5,38
5,39
5,41
5,44
5,44
5,44
5,46
5,47
5,47
5,49
5,49
5,5
5,52
5,59
5,6
5,6

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	'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40742&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40742&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40742&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	'Gwilym Jenkins' @ 72.249.127.135

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	4.73	NA	NA	0.00625578703703723	NA
2	4.73	NA	NA	-0.000896990740740406	NA
3	4.73	NA	NA	-0.00325810185185144	NA
4	4.73	NA	NA	-0.00110532407407399	NA
5	4.74	NA	NA	-0.0110358796296295	NA
6	4.74	NA	NA	-0.00936921296296321	NA
7	4.74	4.72681134259259	4.74291666666667	-0.0161053240740743	0.0131886574074072
8	4.74	4.73945023148148	4.74541666666667	-0.00596643518518557	0.000549768518518512
9	4.74	4.75861689814815	4.74791666666667	0.0107002314814813	-0.0186168981481476
10	4.76	4.76299189814815	4.75083333333333	0.0121585648148148	-0.0029918981481476
11	4.76	4.76403356481481	4.75375	0.0102835648148148	-0.00403356481481332
12	4.76	4.76500578703704	4.75666666666667	0.0083391203703703	-0.00500578703703614
13	4.76	4.76625578703704	4.76	0.00625578703703723	-0.00625578703703589
14	4.76	4.76285300925926	4.76375	-0.000896990740740406	-0.00285300925925824
15	4.76	4.76632523148148	4.76958333333333	-0.00325810185185144	-0.00632523148148145
16	4.77	4.77556134259259	4.77666666666667	-0.00110532407407399	-0.00556134259259267
17	4.77	4.77271412037037	4.78375	-0.0110358796296295	-0.00271412037037067
18	4.78	4.78188078703704	4.79125	-0.00936921296296321	-0.00188078703703631
19	4.78	4.78306134259259	4.79916666666667	-0.0161053240740743	-0.00306134259259228
20	4.79	4.80195023148148	4.80791666666667	-0.00596643518518557	-0.0119502314814808
21	4.83	4.82778356481481	4.81708333333333	0.0107002314814813	0.00221643518518633
22	4.84	4.83924189814815	4.82708333333333	0.0121585648148148	0.000758101851852544
23	4.85	4.84820023148148	4.83791666666667	0.0102835648148148	0.00179976851851826
24	4.85	4.85750578703704	4.84916666666667	0.0083391203703703	-0.00750578703703741
25	4.86	4.86708912037037	4.86083333333333	0.00625578703703723	-0.00708912037037113
26	4.87	4.87243634259259	4.87333333333333	-0.000896990740740406	-0.00243634259259284
27	4.87	4.88215856481481	4.88541666666667	-0.00325810185185144	-0.0121585648148148
28	4.9	4.89431134259259	4.89541666666667	-0.00110532407407399	0.00568865740740865
29	4.9	4.89313078703704	4.90416666666667	-0.0110358796296295	0.00686921296296372
30	4.92	4.90313078703704	4.9125	-0.00936921296296321	0.0168692129629626
31	4.92	4.90472800925926	4.92083333333333	-0.0161053240740743	0.0152719907407404
32	4.95	4.92278356481482	4.92875	-0.00596643518518557	0.0272164351851849
33	4.96	4.94695023148148	4.93625	0.0107002314814813	0.0130497685185178
34	4.95	4.95465856481481	4.9425	0.0121585648148148	-0.00465856481481453
35	4.95	4.95820023148148	4.94791666666667	0.0102835648148148	-0.00820023148148152
36	4.95	4.96125578703704	4.95291666666667	0.0083391203703703	-0.0112557870370367
37	4.96	4.96333912037037	4.95708333333333	0.00625578703703723	-0.00333912037037098
38	4.96	4.96160300925926	4.9625	-0.000896990740740406	-0.00160300925925849
39	4.96	4.96757523148148	4.97083333333333	-0.00325810185185144	-0.0075752314814812
40	4.96	4.98097800925926	4.98208333333333	-0.00110532407407399	-0.0209780092592577
41	4.97	4.98396412037037	4.995	-0.0110358796296295	-0.0139641203703693
42	4.97	4.9997974537037	5.00916666666667	-0.00936921296296321	-0.0297974537037025
43	4.97	5.00764467592593	5.02375	-0.0161053240740743	-0.0376446759259261
44	5.03	5.03195023148148	5.03791666666667	-0.00596643518518557	-0.00195023148148010
45	5.08	5.06361689814815	5.05291666666667	0.0107002314814813	0.0163831018518525
46	5.1	5.08090856481481	5.06875	0.0121585648148148	0.0190914351851852
47	5.11	5.09445023148148	5.08416666666667	0.0102835648148148	0.0155497685185191
48	5.13	5.10833912037037	5.1	0.0083391203703703	0.0216608796296311
49	5.13	5.1229224537037	5.11666666666667	0.00625578703703723	0.00707754629629598
50	5.13	5.13035300925926	5.13125	-0.000896990740740406	-0.000353009259260517
51	5.15	5.13924189814815	5.1425	-0.00325810185185144	0.0107581018518514
52	5.15	5.15139467592593	5.1525	-0.00110532407407399	-0.00139467592592624
53	5.15	5.15146412037037	5.1625	-0.0110358796296295	-0.00146412037037091
54	5.17	5.1622974537037	5.17166666666667	-0.00936921296296321	0.00770254629629541
55	5.17	5.16514467592593	5.18125	-0.0161053240740743	0.0048553240740743
56	5.18	5.18653356481481	5.1925	-0.00596643518518557	-0.0065335648148146
57	5.2	5.21445023148148	5.20375	0.0107002314814813	-0.0144502314814803
58	5.22	5.22799189814815	5.21583333333333	0.0121585648148148	-0.0079918981481475
59	5.23	5.23945023148148	5.22916666666667	0.0102835648148148	-0.00945023148148127
60	5.23	5.2504224537037	5.24208333333333	0.0083391203703703	-0.020422453703703
61	5.26	5.26125578703704	5.255	0.00625578703703723	-0.00125578703703866
62	5.27	5.26743634259259	5.26833333333333	-0.000896990740740406	0.00256365740740705
63	5.28	5.27924189814815	5.2825	-0.00325810185185144	0.000758101851852544
64	5.31	5.29597800925926	5.29708333333333	-0.00110532407407399	0.0140219907407415
65	5.31	5.30063078703704	5.31166666666667	-0.0110358796296295	0.00936921296296234
66	5.32	5.3185474537037	5.32791666666667	-0.00936921296296321	0.00145254629629665
67	5.33	5.32806134259259	5.34416666666667	-0.0161053240740743	0.00193865740740673
68	5.34	5.35278356481481	5.35875	-0.00596643518518557	-0.0127835648148151
69	5.38	5.38403356481481	5.37333333333333	0.0107002314814813	-0.00403356481481421
70	5.39	5.39965856481481	5.3875	0.0121585648148148	-0.0096585648148153
71	5.41	5.41111689814815	5.40083333333333	0.0102835648148148	-0.00111689814814842
72	5.44	5.4229224537037	5.41458333333333	0.0083391203703703	0.0170775462962967
73	5.44	5.43458912037037	5.42833333333333	0.00625578703703723	0.00541087962963083
74	5.44	5.44076967592593	5.44166666666667	-0.000896990740740406	-0.000769675925925917
75	5.46	5.45090856481482	5.45416666666667	-0.00325810185185144	0.00909143518518452
76	5.47	5.46722800925926	5.46833333333333	-0.00110532407407399	0.00277199074074019
77	5.47	5.4735474537037	5.48458333333333	-0.0110358796296295	-0.00354745370370413
78	5.49	5.4897974537037	5.49916666666667	-0.00936921296296321	0.000202546296296902
79	5.49	NA	NA	-0.0161053240740743	NA
80	5.5	NA	NA	-0.00596643518518557	NA
81	5.52	NA	NA	0.0107002314814813	NA
82	5.59	NA	NA	0.0121585648148148	NA
83	5.6	NA	NA	0.0102835648148148	NA
84	5.6	NA	NA	0.0083391203703703	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 4.73 & NA & NA & 0.00625578703703723 & NA \tabularnewline
2 & 4.73 & NA & NA & -0.000896990740740406 & NA \tabularnewline
3 & 4.73 & NA & NA & -0.00325810185185144 & NA \tabularnewline
4 & 4.73 & NA & NA & -0.00110532407407399 & NA \tabularnewline
5 & 4.74 & NA & NA & -0.0110358796296295 & NA \tabularnewline
6 & 4.74 & NA & NA & -0.00936921296296321 & NA \tabularnewline
7 & 4.74 & 4.72681134259259 & 4.74291666666667 & -0.0161053240740743 & 0.0131886574074072 \tabularnewline
8 & 4.74 & 4.73945023148148 & 4.74541666666667 & -0.00596643518518557 & 0.000549768518518512 \tabularnewline
9 & 4.74 & 4.75861689814815 & 4.74791666666667 & 0.0107002314814813 & -0.0186168981481476 \tabularnewline
10 & 4.76 & 4.76299189814815 & 4.75083333333333 & 0.0121585648148148 & -0.0029918981481476 \tabularnewline
11 & 4.76 & 4.76403356481481 & 4.75375 & 0.0102835648148148 & -0.00403356481481332 \tabularnewline
12 & 4.76 & 4.76500578703704 & 4.75666666666667 & 0.0083391203703703 & -0.00500578703703614 \tabularnewline
13 & 4.76 & 4.76625578703704 & 4.76 & 0.00625578703703723 & -0.00625578703703589 \tabularnewline
14 & 4.76 & 4.76285300925926 & 4.76375 & -0.000896990740740406 & -0.00285300925925824 \tabularnewline
15 & 4.76 & 4.76632523148148 & 4.76958333333333 & -0.00325810185185144 & -0.00632523148148145 \tabularnewline
16 & 4.77 & 4.77556134259259 & 4.77666666666667 & -0.00110532407407399 & -0.00556134259259267 \tabularnewline
17 & 4.77 & 4.77271412037037 & 4.78375 & -0.0110358796296295 & -0.00271412037037067 \tabularnewline
18 & 4.78 & 4.78188078703704 & 4.79125 & -0.00936921296296321 & -0.00188078703703631 \tabularnewline
19 & 4.78 & 4.78306134259259 & 4.79916666666667 & -0.0161053240740743 & -0.00306134259259228 \tabularnewline
20 & 4.79 & 4.80195023148148 & 4.80791666666667 & -0.00596643518518557 & -0.0119502314814808 \tabularnewline
21 & 4.83 & 4.82778356481481 & 4.81708333333333 & 0.0107002314814813 & 0.00221643518518633 \tabularnewline
22 & 4.84 & 4.83924189814815 & 4.82708333333333 & 0.0121585648148148 & 0.000758101851852544 \tabularnewline
23 & 4.85 & 4.84820023148148 & 4.83791666666667 & 0.0102835648148148 & 0.00179976851851826 \tabularnewline
24 & 4.85 & 4.85750578703704 & 4.84916666666667 & 0.0083391203703703 & -0.00750578703703741 \tabularnewline
25 & 4.86 & 4.86708912037037 & 4.86083333333333 & 0.00625578703703723 & -0.00708912037037113 \tabularnewline
26 & 4.87 & 4.87243634259259 & 4.87333333333333 & -0.000896990740740406 & -0.00243634259259284 \tabularnewline
27 & 4.87 & 4.88215856481481 & 4.88541666666667 & -0.00325810185185144 & -0.0121585648148148 \tabularnewline
28 & 4.9 & 4.89431134259259 & 4.89541666666667 & -0.00110532407407399 & 0.00568865740740865 \tabularnewline
29 & 4.9 & 4.89313078703704 & 4.90416666666667 & -0.0110358796296295 & 0.00686921296296372 \tabularnewline
30 & 4.92 & 4.90313078703704 & 4.9125 & -0.00936921296296321 & 0.0168692129629626 \tabularnewline
31 & 4.92 & 4.90472800925926 & 4.92083333333333 & -0.0161053240740743 & 0.0152719907407404 \tabularnewline
32 & 4.95 & 4.92278356481482 & 4.92875 & -0.00596643518518557 & 0.0272164351851849 \tabularnewline
33 & 4.96 & 4.94695023148148 & 4.93625 & 0.0107002314814813 & 0.0130497685185178 \tabularnewline
34 & 4.95 & 4.95465856481481 & 4.9425 & 0.0121585648148148 & -0.00465856481481453 \tabularnewline
35 & 4.95 & 4.95820023148148 & 4.94791666666667 & 0.0102835648148148 & -0.00820023148148152 \tabularnewline
36 & 4.95 & 4.96125578703704 & 4.95291666666667 & 0.0083391203703703 & -0.0112557870370367 \tabularnewline
37 & 4.96 & 4.96333912037037 & 4.95708333333333 & 0.00625578703703723 & -0.00333912037037098 \tabularnewline
38 & 4.96 & 4.96160300925926 & 4.9625 & -0.000896990740740406 & -0.00160300925925849 \tabularnewline
39 & 4.96 & 4.96757523148148 & 4.97083333333333 & -0.00325810185185144 & -0.0075752314814812 \tabularnewline
40 & 4.96 & 4.98097800925926 & 4.98208333333333 & -0.00110532407407399 & -0.0209780092592577 \tabularnewline
41 & 4.97 & 4.98396412037037 & 4.995 & -0.0110358796296295 & -0.0139641203703693 \tabularnewline
42 & 4.97 & 4.9997974537037 & 5.00916666666667 & -0.00936921296296321 & -0.0297974537037025 \tabularnewline
43 & 4.97 & 5.00764467592593 & 5.02375 & -0.0161053240740743 & -0.0376446759259261 \tabularnewline
44 & 5.03 & 5.03195023148148 & 5.03791666666667 & -0.00596643518518557 & -0.00195023148148010 \tabularnewline
45 & 5.08 & 5.06361689814815 & 5.05291666666667 & 0.0107002314814813 & 0.0163831018518525 \tabularnewline
46 & 5.1 & 5.08090856481481 & 5.06875 & 0.0121585648148148 & 0.0190914351851852 \tabularnewline
47 & 5.11 & 5.09445023148148 & 5.08416666666667 & 0.0102835648148148 & 0.0155497685185191 \tabularnewline
48 & 5.13 & 5.10833912037037 & 5.1 & 0.0083391203703703 & 0.0216608796296311 \tabularnewline
49 & 5.13 & 5.1229224537037 & 5.11666666666667 & 0.00625578703703723 & 0.00707754629629598 \tabularnewline
50 & 5.13 & 5.13035300925926 & 5.13125 & -0.000896990740740406 & -0.000353009259260517 \tabularnewline
51 & 5.15 & 5.13924189814815 & 5.1425 & -0.00325810185185144 & 0.0107581018518514 \tabularnewline
52 & 5.15 & 5.15139467592593 & 5.1525 & -0.00110532407407399 & -0.00139467592592624 \tabularnewline
53 & 5.15 & 5.15146412037037 & 5.1625 & -0.0110358796296295 & -0.00146412037037091 \tabularnewline
54 & 5.17 & 5.1622974537037 & 5.17166666666667 & -0.00936921296296321 & 0.00770254629629541 \tabularnewline
55 & 5.17 & 5.16514467592593 & 5.18125 & -0.0161053240740743 & 0.0048553240740743 \tabularnewline
56 & 5.18 & 5.18653356481481 & 5.1925 & -0.00596643518518557 & -0.0065335648148146 \tabularnewline
57 & 5.2 & 5.21445023148148 & 5.20375 & 0.0107002314814813 & -0.0144502314814803 \tabularnewline
58 & 5.22 & 5.22799189814815 & 5.21583333333333 & 0.0121585648148148 & -0.0079918981481475 \tabularnewline
59 & 5.23 & 5.23945023148148 & 5.22916666666667 & 0.0102835648148148 & -0.00945023148148127 \tabularnewline
60 & 5.23 & 5.2504224537037 & 5.24208333333333 & 0.0083391203703703 & -0.020422453703703 \tabularnewline
61 & 5.26 & 5.26125578703704 & 5.255 & 0.00625578703703723 & -0.00125578703703866 \tabularnewline
62 & 5.27 & 5.26743634259259 & 5.26833333333333 & -0.000896990740740406 & 0.00256365740740705 \tabularnewline
63 & 5.28 & 5.27924189814815 & 5.2825 & -0.00325810185185144 & 0.000758101851852544 \tabularnewline
64 & 5.31 & 5.29597800925926 & 5.29708333333333 & -0.00110532407407399 & 0.0140219907407415 \tabularnewline
65 & 5.31 & 5.30063078703704 & 5.31166666666667 & -0.0110358796296295 & 0.00936921296296234 \tabularnewline
66 & 5.32 & 5.3185474537037 & 5.32791666666667 & -0.00936921296296321 & 0.00145254629629665 \tabularnewline
67 & 5.33 & 5.32806134259259 & 5.34416666666667 & -0.0161053240740743 & 0.00193865740740673 \tabularnewline
68 & 5.34 & 5.35278356481481 & 5.35875 & -0.00596643518518557 & -0.0127835648148151 \tabularnewline
69 & 5.38 & 5.38403356481481 & 5.37333333333333 & 0.0107002314814813 & -0.00403356481481421 \tabularnewline
70 & 5.39 & 5.39965856481481 & 5.3875 & 0.0121585648148148 & -0.0096585648148153 \tabularnewline
71 & 5.41 & 5.41111689814815 & 5.40083333333333 & 0.0102835648148148 & -0.00111689814814842 \tabularnewline
72 & 5.44 & 5.4229224537037 & 5.41458333333333 & 0.0083391203703703 & 0.0170775462962967 \tabularnewline
73 & 5.44 & 5.43458912037037 & 5.42833333333333 & 0.00625578703703723 & 0.00541087962963083 \tabularnewline
74 & 5.44 & 5.44076967592593 & 5.44166666666667 & -0.000896990740740406 & -0.000769675925925917 \tabularnewline
75 & 5.46 & 5.45090856481482 & 5.45416666666667 & -0.00325810185185144 & 0.00909143518518452 \tabularnewline
76 & 5.47 & 5.46722800925926 & 5.46833333333333 & -0.00110532407407399 & 0.00277199074074019 \tabularnewline
77 & 5.47 & 5.4735474537037 & 5.48458333333333 & -0.0110358796296295 & -0.00354745370370413 \tabularnewline
78 & 5.49 & 5.4897974537037 & 5.49916666666667 & -0.00936921296296321 & 0.000202546296296902 \tabularnewline
79 & 5.49 & NA & NA & -0.0161053240740743 & NA \tabularnewline
80 & 5.5 & NA & NA & -0.00596643518518557 & NA \tabularnewline
81 & 5.52 & NA & NA & 0.0107002314814813 & NA \tabularnewline
82 & 5.59 & NA & NA & 0.0121585648148148 & NA \tabularnewline
83 & 5.6 & NA & NA & 0.0102835648148148 & NA \tabularnewline
84 & 5.6 & NA & NA & 0.0083391203703703 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40742&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]4.73[/C][C]NA[/C][C]NA[/C][C]0.00625578703703723[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]4.73[/C][C]NA[/C][C]NA[/C][C]-0.000896990740740406[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]4.73[/C][C]NA[/C][C]NA[/C][C]-0.00325810185185144[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]4.73[/C][C]NA[/C][C]NA[/C][C]-0.00110532407407399[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]4.74[/C][C]NA[/C][C]NA[/C][C]-0.0110358796296295[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]4.74[/C][C]NA[/C][C]NA[/C][C]-0.00936921296296321[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]4.74[/C][C]4.72681134259259[/C][C]4.74291666666667[/C][C]-0.0161053240740743[/C][C]0.0131886574074072[/C][/ROW]
[ROW][C]8[/C][C]4.74[/C][C]4.73945023148148[/C][C]4.74541666666667[/C][C]-0.00596643518518557[/C][C]0.000549768518518512[/C][/ROW]
[ROW][C]9[/C][C]4.74[/C][C]4.75861689814815[/C][C]4.74791666666667[/C][C]0.0107002314814813[/C][C]-0.0186168981481476[/C][/ROW]
[ROW][C]10[/C][C]4.76[/C][C]4.76299189814815[/C][C]4.75083333333333[/C][C]0.0121585648148148[/C][C]-0.0029918981481476[/C][/ROW]
[ROW][C]11[/C][C]4.76[/C][C]4.76403356481481[/C][C]4.75375[/C][C]0.0102835648148148[/C][C]-0.00403356481481332[/C][/ROW]
[ROW][C]12[/C][C]4.76[/C][C]4.76500578703704[/C][C]4.75666666666667[/C][C]0.0083391203703703[/C][C]-0.00500578703703614[/C][/ROW]
[ROW][C]13[/C][C]4.76[/C][C]4.76625578703704[/C][C]4.76[/C][C]0.00625578703703723[/C][C]-0.00625578703703589[/C][/ROW]
[ROW][C]14[/C][C]4.76[/C][C]4.76285300925926[/C][C]4.76375[/C][C]-0.000896990740740406[/C][C]-0.00285300925925824[/C][/ROW]
[ROW][C]15[/C][C]4.76[/C][C]4.76632523148148[/C][C]4.76958333333333[/C][C]-0.00325810185185144[/C][C]-0.00632523148148145[/C][/ROW]
[ROW][C]16[/C][C]4.77[/C][C]4.77556134259259[/C][C]4.77666666666667[/C][C]-0.00110532407407399[/C][C]-0.00556134259259267[/C][/ROW]
[ROW][C]17[/C][C]4.77[/C][C]4.77271412037037[/C][C]4.78375[/C][C]-0.0110358796296295[/C][C]-0.00271412037037067[/C][/ROW]
[ROW][C]18[/C][C]4.78[/C][C]4.78188078703704[/C][C]4.79125[/C][C]-0.00936921296296321[/C][C]-0.00188078703703631[/C][/ROW]
[ROW][C]19[/C][C]4.78[/C][C]4.78306134259259[/C][C]4.79916666666667[/C][C]-0.0161053240740743[/C][C]-0.00306134259259228[/C][/ROW]
[ROW][C]20[/C][C]4.79[/C][C]4.80195023148148[/C][C]4.80791666666667[/C][C]-0.00596643518518557[/C][C]-0.0119502314814808[/C][/ROW]
[ROW][C]21[/C][C]4.83[/C][C]4.82778356481481[/C][C]4.81708333333333[/C][C]0.0107002314814813[/C][C]0.00221643518518633[/C][/ROW]
[ROW][C]22[/C][C]4.84[/C][C]4.83924189814815[/C][C]4.82708333333333[/C][C]0.0121585648148148[/C][C]0.000758101851852544[/C][/ROW]
[ROW][C]23[/C][C]4.85[/C][C]4.84820023148148[/C][C]4.83791666666667[/C][C]0.0102835648148148[/C][C]0.00179976851851826[/C][/ROW]
[ROW][C]24[/C][C]4.85[/C][C]4.85750578703704[/C][C]4.84916666666667[/C][C]0.0083391203703703[/C][C]-0.00750578703703741[/C][/ROW]
[ROW][C]25[/C][C]4.86[/C][C]4.86708912037037[/C][C]4.86083333333333[/C][C]0.00625578703703723[/C][C]-0.00708912037037113[/C][/ROW]
[ROW][C]26[/C][C]4.87[/C][C]4.87243634259259[/C][C]4.87333333333333[/C][C]-0.000896990740740406[/C][C]-0.00243634259259284[/C][/ROW]
[ROW][C]27[/C][C]4.87[/C][C]4.88215856481481[/C][C]4.88541666666667[/C][C]-0.00325810185185144[/C][C]-0.0121585648148148[/C][/ROW]
[ROW][C]28[/C][C]4.9[/C][C]4.89431134259259[/C][C]4.89541666666667[/C][C]-0.00110532407407399[/C][C]0.00568865740740865[/C][/ROW]
[ROW][C]29[/C][C]4.9[/C][C]4.89313078703704[/C][C]4.90416666666667[/C][C]-0.0110358796296295[/C][C]0.00686921296296372[/C][/ROW]
[ROW][C]30[/C][C]4.92[/C][C]4.90313078703704[/C][C]4.9125[/C][C]-0.00936921296296321[/C][C]0.0168692129629626[/C][/ROW]
[ROW][C]31[/C][C]4.92[/C][C]4.90472800925926[/C][C]4.92083333333333[/C][C]-0.0161053240740743[/C][C]0.0152719907407404[/C][/ROW]
[ROW][C]32[/C][C]4.95[/C][C]4.92278356481482[/C][C]4.92875[/C][C]-0.00596643518518557[/C][C]0.0272164351851849[/C][/ROW]
[ROW][C]33[/C][C]4.96[/C][C]4.94695023148148[/C][C]4.93625[/C][C]0.0107002314814813[/C][C]0.0130497685185178[/C][/ROW]
[ROW][C]34[/C][C]4.95[/C][C]4.95465856481481[/C][C]4.9425[/C][C]0.0121585648148148[/C][C]-0.00465856481481453[/C][/ROW]
[ROW][C]35[/C][C]4.95[/C][C]4.95820023148148[/C][C]4.94791666666667[/C][C]0.0102835648148148[/C][C]-0.00820023148148152[/C][/ROW]
[ROW][C]36[/C][C]4.95[/C][C]4.96125578703704[/C][C]4.95291666666667[/C][C]0.0083391203703703[/C][C]-0.0112557870370367[/C][/ROW]
[ROW][C]37[/C][C]4.96[/C][C]4.96333912037037[/C][C]4.95708333333333[/C][C]0.00625578703703723[/C][C]-0.00333912037037098[/C][/ROW]
[ROW][C]38[/C][C]4.96[/C][C]4.96160300925926[/C][C]4.9625[/C][C]-0.000896990740740406[/C][C]-0.00160300925925849[/C][/ROW]
[ROW][C]39[/C][C]4.96[/C][C]4.96757523148148[/C][C]4.97083333333333[/C][C]-0.00325810185185144[/C][C]-0.0075752314814812[/C][/ROW]
[ROW][C]40[/C][C]4.96[/C][C]4.98097800925926[/C][C]4.98208333333333[/C][C]-0.00110532407407399[/C][C]-0.0209780092592577[/C][/ROW]
[ROW][C]41[/C][C]4.97[/C][C]4.98396412037037[/C][C]4.995[/C][C]-0.0110358796296295[/C][C]-0.0139641203703693[/C][/ROW]
[ROW][C]42[/C][C]4.97[/C][C]4.9997974537037[/C][C]5.00916666666667[/C][C]-0.00936921296296321[/C][C]-0.0297974537037025[/C][/ROW]
[ROW][C]43[/C][C]4.97[/C][C]5.00764467592593[/C][C]5.02375[/C][C]-0.0161053240740743[/C][C]-0.0376446759259261[/C][/ROW]
[ROW][C]44[/C][C]5.03[/C][C]5.03195023148148[/C][C]5.03791666666667[/C][C]-0.00596643518518557[/C][C]-0.00195023148148010[/C][/ROW]
[ROW][C]45[/C][C]5.08[/C][C]5.06361689814815[/C][C]5.05291666666667[/C][C]0.0107002314814813[/C][C]0.0163831018518525[/C][/ROW]
[ROW][C]46[/C][C]5.1[/C][C]5.08090856481481[/C][C]5.06875[/C][C]0.0121585648148148[/C][C]0.0190914351851852[/C][/ROW]
[ROW][C]47[/C][C]5.11[/C][C]5.09445023148148[/C][C]5.08416666666667[/C][C]0.0102835648148148[/C][C]0.0155497685185191[/C][/ROW]
[ROW][C]48[/C][C]5.13[/C][C]5.10833912037037[/C][C]5.1[/C][C]0.0083391203703703[/C][C]0.0216608796296311[/C][/ROW]
[ROW][C]49[/C][C]5.13[/C][C]5.1229224537037[/C][C]5.11666666666667[/C][C]0.00625578703703723[/C][C]0.00707754629629598[/C][/ROW]
[ROW][C]50[/C][C]5.13[/C][C]5.13035300925926[/C][C]5.13125[/C][C]-0.000896990740740406[/C][C]-0.000353009259260517[/C][/ROW]
[ROW][C]51[/C][C]5.15[/C][C]5.13924189814815[/C][C]5.1425[/C][C]-0.00325810185185144[/C][C]0.0107581018518514[/C][/ROW]
[ROW][C]52[/C][C]5.15[/C][C]5.15139467592593[/C][C]5.1525[/C][C]-0.00110532407407399[/C][C]-0.00139467592592624[/C][/ROW]
[ROW][C]53[/C][C]5.15[/C][C]5.15146412037037[/C][C]5.1625[/C][C]-0.0110358796296295[/C][C]-0.00146412037037091[/C][/ROW]
[ROW][C]54[/C][C]5.17[/C][C]5.1622974537037[/C][C]5.17166666666667[/C][C]-0.00936921296296321[/C][C]0.00770254629629541[/C][/ROW]
[ROW][C]55[/C][C]5.17[/C][C]5.16514467592593[/C][C]5.18125[/C][C]-0.0161053240740743[/C][C]0.0048553240740743[/C][/ROW]
[ROW][C]56[/C][C]5.18[/C][C]5.18653356481481[/C][C]5.1925[/C][C]-0.00596643518518557[/C][C]-0.0065335648148146[/C][/ROW]
[ROW][C]57[/C][C]5.2[/C][C]5.21445023148148[/C][C]5.20375[/C][C]0.0107002314814813[/C][C]-0.0144502314814803[/C][/ROW]
[ROW][C]58[/C][C]5.22[/C][C]5.22799189814815[/C][C]5.21583333333333[/C][C]0.0121585648148148[/C][C]-0.0079918981481475[/C][/ROW]
[ROW][C]59[/C][C]5.23[/C][C]5.23945023148148[/C][C]5.22916666666667[/C][C]0.0102835648148148[/C][C]-0.00945023148148127[/C][/ROW]
[ROW][C]60[/C][C]5.23[/C][C]5.2504224537037[/C][C]5.24208333333333[/C][C]0.0083391203703703[/C][C]-0.020422453703703[/C][/ROW]
[ROW][C]61[/C][C]5.26[/C][C]5.26125578703704[/C][C]5.255[/C][C]0.00625578703703723[/C][C]-0.00125578703703866[/C][/ROW]
[ROW][C]62[/C][C]5.27[/C][C]5.26743634259259[/C][C]5.26833333333333[/C][C]-0.000896990740740406[/C][C]0.00256365740740705[/C][/ROW]
[ROW][C]63[/C][C]5.28[/C][C]5.27924189814815[/C][C]5.2825[/C][C]-0.00325810185185144[/C][C]0.000758101851852544[/C][/ROW]
[ROW][C]64[/C][C]5.31[/C][C]5.29597800925926[/C][C]5.29708333333333[/C][C]-0.00110532407407399[/C][C]0.0140219907407415[/C][/ROW]
[ROW][C]65[/C][C]5.31[/C][C]5.30063078703704[/C][C]5.31166666666667[/C][C]-0.0110358796296295[/C][C]0.00936921296296234[/C][/ROW]
[ROW][C]66[/C][C]5.32[/C][C]5.3185474537037[/C][C]5.32791666666667[/C][C]-0.00936921296296321[/C][C]0.00145254629629665[/C][/ROW]
[ROW][C]67[/C][C]5.33[/C][C]5.32806134259259[/C][C]5.34416666666667[/C][C]-0.0161053240740743[/C][C]0.00193865740740673[/C][/ROW]
[ROW][C]68[/C][C]5.34[/C][C]5.35278356481481[/C][C]5.35875[/C][C]-0.00596643518518557[/C][C]-0.0127835648148151[/C][/ROW]
[ROW][C]69[/C][C]5.38[/C][C]5.38403356481481[/C][C]5.37333333333333[/C][C]0.0107002314814813[/C][C]-0.00403356481481421[/C][/ROW]
[ROW][C]70[/C][C]5.39[/C][C]5.39965856481481[/C][C]5.3875[/C][C]0.0121585648148148[/C][C]-0.0096585648148153[/C][/ROW]
[ROW][C]71[/C][C]5.41[/C][C]5.41111689814815[/C][C]5.40083333333333[/C][C]0.0102835648148148[/C][C]-0.00111689814814842[/C][/ROW]
[ROW][C]72[/C][C]5.44[/C][C]5.4229224537037[/C][C]5.41458333333333[/C][C]0.0083391203703703[/C][C]0.0170775462962967[/C][/ROW]
[ROW][C]73[/C][C]5.44[/C][C]5.43458912037037[/C][C]5.42833333333333[/C][C]0.00625578703703723[/C][C]0.00541087962963083[/C][/ROW]
[ROW][C]74[/C][C]5.44[/C][C]5.44076967592593[/C][C]5.44166666666667[/C][C]-0.000896990740740406[/C][C]-0.000769675925925917[/C][/ROW]
[ROW][C]75[/C][C]5.46[/C][C]5.45090856481482[/C][C]5.45416666666667[/C][C]-0.00325810185185144[/C][C]0.00909143518518452[/C][/ROW]
[ROW][C]76[/C][C]5.47[/C][C]5.46722800925926[/C][C]5.46833333333333[/C][C]-0.00110532407407399[/C][C]0.00277199074074019[/C][/ROW]
[ROW][C]77[/C][C]5.47[/C][C]5.4735474537037[/C][C]5.48458333333333[/C][C]-0.0110358796296295[/C][C]-0.00354745370370413[/C][/ROW]
[ROW][C]78[/C][C]5.49[/C][C]5.4897974537037[/C][C]5.49916666666667[/C][C]-0.00936921296296321[/C][C]0.000202546296296902[/C][/ROW]
[ROW][C]79[/C][C]5.49[/C][C]NA[/C][C]NA[/C][C]-0.0161053240740743[/C][C]NA[/C][/ROW]
[ROW][C]80[/C][C]5.5[/C][C]NA[/C][C]NA[/C][C]-0.00596643518518557[/C][C]NA[/C][/ROW]
[ROW][C]81[/C][C]5.52[/C][C]NA[/C][C]NA[/C][C]0.0107002314814813[/C][C]NA[/C][/ROW]
[ROW][C]82[/C][C]5.59[/C][C]NA[/C][C]NA[/C][C]0.0121585648148148[/C][C]NA[/C][/ROW]
[ROW][C]83[/C][C]5.6[/C][C]NA[/C][C]NA[/C][C]0.0102835648148148[/C][C]NA[/C][/ROW]
[ROW][C]84[/C][C]5.6[/C][C]NA[/C][C]NA[/C][C]0.0083391203703703[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40742&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40742&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	4.73	NA	NA	0.00625578703703723	NA
2	4.73	NA	NA	-0.000896990740740406	NA
3	4.73	NA	NA	-0.00325810185185144	NA
4	4.73	NA	NA	-0.00110532407407399	NA
5	4.74	NA	NA	-0.0110358796296295	NA
6	4.74	NA	NA	-0.00936921296296321	NA
7	4.74	4.72681134259259	4.74291666666667	-0.0161053240740743	0.0131886574074072
8	4.74	4.73945023148148	4.74541666666667	-0.00596643518518557	0.000549768518518512
9	4.74	4.75861689814815	4.74791666666667	0.0107002314814813	-0.0186168981481476
10	4.76	4.76299189814815	4.75083333333333	0.0121585648148148	-0.0029918981481476
11	4.76	4.76403356481481	4.75375	0.0102835648148148	-0.00403356481481332
12	4.76	4.76500578703704	4.75666666666667	0.0083391203703703	-0.00500578703703614
13	4.76	4.76625578703704	4.76	0.00625578703703723	-0.00625578703703589
14	4.76	4.76285300925926	4.76375	-0.000896990740740406	-0.00285300925925824
15	4.76	4.76632523148148	4.76958333333333	-0.00325810185185144	-0.00632523148148145
16	4.77	4.77556134259259	4.77666666666667	-0.00110532407407399	-0.00556134259259267
17	4.77	4.77271412037037	4.78375	-0.0110358796296295	-0.00271412037037067
18	4.78	4.78188078703704	4.79125	-0.00936921296296321	-0.00188078703703631
19	4.78	4.78306134259259	4.79916666666667	-0.0161053240740743	-0.00306134259259228
20	4.79	4.80195023148148	4.80791666666667	-0.00596643518518557	-0.0119502314814808
21	4.83	4.82778356481481	4.81708333333333	0.0107002314814813	0.00221643518518633
22	4.84	4.83924189814815	4.82708333333333	0.0121585648148148	0.000758101851852544
23	4.85	4.84820023148148	4.83791666666667	0.0102835648148148	0.00179976851851826
24	4.85	4.85750578703704	4.84916666666667	0.0083391203703703	-0.00750578703703741
25	4.86	4.86708912037037	4.86083333333333	0.00625578703703723	-0.00708912037037113
26	4.87	4.87243634259259	4.87333333333333	-0.000896990740740406	-0.00243634259259284
27	4.87	4.88215856481481	4.88541666666667	-0.00325810185185144	-0.0121585648148148
28	4.9	4.89431134259259	4.89541666666667	-0.00110532407407399	0.00568865740740865
29	4.9	4.89313078703704	4.90416666666667	-0.0110358796296295	0.00686921296296372
30	4.92	4.90313078703704	4.9125	-0.00936921296296321	0.0168692129629626
31	4.92	4.90472800925926	4.92083333333333	-0.0161053240740743	0.0152719907407404
32	4.95	4.92278356481482	4.92875	-0.00596643518518557	0.0272164351851849
33	4.96	4.94695023148148	4.93625	0.0107002314814813	0.0130497685185178
34	4.95	4.95465856481481	4.9425	0.0121585648148148	-0.00465856481481453
35	4.95	4.95820023148148	4.94791666666667	0.0102835648148148	-0.00820023148148152
36	4.95	4.96125578703704	4.95291666666667	0.0083391203703703	-0.0112557870370367
37	4.96	4.96333912037037	4.95708333333333	0.00625578703703723	-0.00333912037037098
38	4.96	4.96160300925926	4.9625	-0.000896990740740406	-0.00160300925925849
39	4.96	4.96757523148148	4.97083333333333	-0.00325810185185144	-0.0075752314814812
40	4.96	4.98097800925926	4.98208333333333	-0.00110532407407399	-0.0209780092592577
41	4.97	4.98396412037037	4.995	-0.0110358796296295	-0.0139641203703693
42	4.97	4.9997974537037	5.00916666666667	-0.00936921296296321	-0.0297974537037025
43	4.97	5.00764467592593	5.02375	-0.0161053240740743	-0.0376446759259261
44	5.03	5.03195023148148	5.03791666666667	-0.00596643518518557	-0.00195023148148010
45	5.08	5.06361689814815	5.05291666666667	0.0107002314814813	0.0163831018518525
46	5.1	5.08090856481481	5.06875	0.0121585648148148	0.0190914351851852
47	5.11	5.09445023148148	5.08416666666667	0.0102835648148148	0.0155497685185191
48	5.13	5.10833912037037	5.1	0.0083391203703703	0.0216608796296311
49	5.13	5.1229224537037	5.11666666666667	0.00625578703703723	0.00707754629629598
50	5.13	5.13035300925926	5.13125	-0.000896990740740406	-0.000353009259260517
51	5.15	5.13924189814815	5.1425	-0.00325810185185144	0.0107581018518514
52	5.15	5.15139467592593	5.1525	-0.00110532407407399	-0.00139467592592624
53	5.15	5.15146412037037	5.1625	-0.0110358796296295	-0.00146412037037091
54	5.17	5.1622974537037	5.17166666666667	-0.00936921296296321	0.00770254629629541
55	5.17	5.16514467592593	5.18125	-0.0161053240740743	0.0048553240740743
56	5.18	5.18653356481481	5.1925	-0.00596643518518557	-0.0065335648148146
57	5.2	5.21445023148148	5.20375	0.0107002314814813	-0.0144502314814803
58	5.22	5.22799189814815	5.21583333333333	0.0121585648148148	-0.0079918981481475
59	5.23	5.23945023148148	5.22916666666667	0.0102835648148148	-0.00945023148148127
60	5.23	5.2504224537037	5.24208333333333	0.0083391203703703	-0.020422453703703
61	5.26	5.26125578703704	5.255	0.00625578703703723	-0.00125578703703866
62	5.27	5.26743634259259	5.26833333333333	-0.000896990740740406	0.00256365740740705
63	5.28	5.27924189814815	5.2825	-0.00325810185185144	0.000758101851852544
64	5.31	5.29597800925926	5.29708333333333	-0.00110532407407399	0.0140219907407415
65	5.31	5.30063078703704	5.31166666666667	-0.0110358796296295	0.00936921296296234
66	5.32	5.3185474537037	5.32791666666667	-0.00936921296296321	0.00145254629629665
67	5.33	5.32806134259259	5.34416666666667	-0.0161053240740743	0.00193865740740673
68	5.34	5.35278356481481	5.35875	-0.00596643518518557	-0.0127835648148151
69	5.38	5.38403356481481	5.37333333333333	0.0107002314814813	-0.00403356481481421
70	5.39	5.39965856481481	5.3875	0.0121585648148148	-0.0096585648148153
71	5.41	5.41111689814815	5.40083333333333	0.0102835648148148	-0.00111689814814842
72	5.44	5.4229224537037	5.41458333333333	0.0083391203703703	0.0170775462962967
73	5.44	5.43458912037037	5.42833333333333	0.00625578703703723	0.00541087962963083
74	5.44	5.44076967592593	5.44166666666667	-0.000896990740740406	-0.000769675925925917
75	5.46	5.45090856481482	5.45416666666667	-0.00325810185185144	0.00909143518518452
76	5.47	5.46722800925926	5.46833333333333	-0.00110532407407399	0.00277199074074019
77	5.47	5.4735474537037	5.48458333333333	-0.0110358796296295	-0.00354745370370413
78	5.49	5.4897974537037	5.49916666666667	-0.00936921296296321	0.000202546296296902
79	5.49	NA	NA	-0.0161053240740743	NA
80	5.5	NA	NA	-0.00596643518518557	NA
81	5.52	NA	NA	0.0107002314814813	NA
82	5.59	NA	NA	0.0121585648148148	NA
83	5.6	NA	NA	0.0102835648148148	NA
84	5.6	NA	NA	0.0083391203703703	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$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i])
a<-table.element(a,m$trend[i])
a<-table.element(a,m$seasonal[i])
a<-table.element(a,m$random[i])
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