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Author

*Unverified author*

R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Sun, 18 Dec 2011 07:43:39 -0500

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/2011/Dec/18/t13242123383kismyfteto4vu6.htm/, Retrieved Sat, 07 Feb 2026 03:46:59 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156785, Retrieved Sat, 07 Feb 2026 03:46:59 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

KDGP2W92

Estimated Impact

302

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

-       [Classical Decomposition] [] [2011-12-18 12:43:39] [76c30f62b7052b57088120e90a652e05] [Current]

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Dataseries X:

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Histogram

Boxplots

4,23
4,38
4,43
4,44
4,44
4,44
4,44
4,44
4,45
4,45
4,45
4,45
4,45
4,45
4,45
4,45
4,46
4,46
4,46
4,48
4,58
4,67
4,68
4,68
4,69
4,69
4,69
4,69
4,69
4,69
4,69
4,73
4,78
4,79
4,79
4,8
4,8
4,81
5,16
5,26
5,29
5,29
5,29
5,3
5,3
5,3
5,3
5,3
5,3
5,3
5,3
5,35
5,44
5,47
5,47
5,48
5,48
5,48
5,48
5,48
5,48
5,48
5,5
5,55
5,55
5,57
5,58
5,58
5,58
5,59
5,59
5,59
5,61
5,61
5,61
5,63
5,69
5,7
5,7
5,7
5,7
5,7
5,7
5,7

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	'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156785&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156785&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156785&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	3 seconds
R Server	'AstonUniversity' @ aston.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	4.23	NA	NA	-0.0309317129629629	NA
2	4.38	NA	NA	-0.0467650462962962	NA
3	4.43	NA	NA	-0.00252893518518538	NA
4	4.44	NA	NA	0.0167766203703699	NA
5	4.44	NA	NA	0.0310821759259258	NA
6	4.44	NA	NA	0.0237210648148146	NA
7	4.44	4.43476273148148	4.42916666666667	0.00559606481481508	0.0052372685185178
8	4.44	4.44205439814815	4.44125	0.000804398148148626	-0.00205439814814934
9	4.45	4.4557349537037	4.445	0.0107349537037039	-0.00573495370370392
10	4.45	4.4588599537037	4.44625	0.0126099537037038	-0.00885995370370374
11	4.45	4.44483217592593	4.4475	-0.00266782407407429	0.00516782407407401
12	4.45	4.4307349537037	4.44916666666667	-0.0184317129629629	0.0192650462962956
13	4.45	4.41990162037037	4.45083333333333	-0.0309317129629629	0.0300983796296288
14	4.45	4.40656828703704	4.45333333333333	-0.0467650462962962	0.0434317129629624
15	4.45	4.45788773148148	4.46041666666667	-0.00252893518518538	-0.0078877314814827
16	4.45	4.49177662037037	4.475	0.0167766203703699	-0.0417766203703716
17	4.46	4.52483217592593	4.49375	0.0310821759259258	-0.0648321759259272
18	4.46	4.53663773148148	4.51291666666667	0.0237210648148146	-0.0766377314814823
19	4.46	4.53809606481482	4.5325	0.00559606481481508	-0.0780960648148161
20	4.48	4.55330439814815	4.5525	0.000804398148148626	-0.0733043981481485
21	4.58	4.5832349537037	4.5725	0.0107349537037039	-0.00323495370370441
22	4.67	4.60510995370371	4.5925	0.0126099537037038	0.0648900462962949
23	4.68	4.60941550925926	4.61208333333333	-0.00266782407407429	0.0705844907407398
24	4.68	4.61281828703704	4.63125	-0.0184317129629629	0.0671817129629622
25	4.69	4.6194849537037	4.65041666666667	-0.0309317129629629	0.0705150462962969
26	4.69	4.62365162037037	4.67041666666667	-0.0467650462962962	0.0663483796296305
27	4.69	4.68663773148148	4.68916666666667	-0.00252893518518538	0.00336226851851951
28	4.69	4.71927662037037	4.7025	0.0167766203703699	-0.0292766203703687
29	4.69	4.74316550925926	4.71208333333333	0.0310821759259258	-0.0531655092592578
30	4.69	4.74538773148148	4.72166666666667	0.0237210648148146	-0.0553877314814804
31	4.69	4.73684606481481	4.73125	0.00559606481481508	-0.0468460648148143
32	4.73	4.74163773148148	4.74083333333333	0.000804398148148626	-0.0116377314814802
33	4.78	4.77615162037037	4.76541666666667	0.0107349537037039	0.00384837962963047
34	4.79	4.8213599537037	4.80875	0.0126099537037038	-0.0313599537037037
35	4.79	4.85483217592593	4.8575	-0.00266782407407429	-0.0648321759259254
36	4.8	4.88906828703704	4.9075	-0.0184317129629629	-0.089068287037037
37	4.8	4.92656828703704	4.9575	-0.0309317129629629	-0.126568287037037
38	4.81	4.9594849537037	5.00625	-0.0467650462962962	-0.149484953703705
39	5.16	5.04913773148148	5.05166666666667	-0.00252893518518538	0.110862268518518
40	5.26	5.1113599537037	5.09458333333333	0.0167766203703699	0.148640046296295
41	5.29	5.16816550925926	5.13708333333333	0.0310821759259258	0.12183449074074
42	5.29	5.20288773148148	5.17916666666667	0.0237210648148146	0.087112268518518
43	5.29	5.22642939814815	5.22083333333333	0.00559606481481508	0.0635706018518523
44	5.3	5.26288773148148	5.26208333333333	0.000804398148148626	0.037112268518519
45	5.3	5.29906828703704	5.28833333333333	0.0107349537037039	0.000931712962963793
46	5.3	5.31052662037037	5.29791666666666	0.0126099537037038	-0.0105266203703689
47	5.3	5.30524884259259	5.30791666666667	-0.00266782407407429	-0.00524884259259117
48	5.3	5.3032349537037	5.32166666666667	-0.0184317129629629	-0.00323495370370264
49	5.3	5.3057349537037	5.33666666666667	-0.0309317129629629	-0.00573495370370214
50	5.3	5.30490162037037	5.35166666666666	-0.0467650462962962	-0.00490162037036868
51	5.3	5.36413773148148	5.36666666666667	-0.00252893518518538	-0.0641377314814804
52	5.35	5.39844328703704	5.38166666666667	0.0167766203703699	-0.0484432870370366
53	5.44	5.42774884259259	5.39666666666667	0.0310821759259258	0.0122511574074089
54	5.47	5.43538773148148	5.41166666666667	0.0237210648148146	0.0346122685185186
55	5.47	5.43226273148148	5.42666666666667	0.00559606481481508	0.0377372685185184
56	5.48	5.44247106481482	5.44166666666667	0.000804398148148626	0.0375289351851853
57	5.48	5.4682349537037	5.4575	0.0107349537037039	0.011765046296297
58	5.48	5.48677662037037	5.47416666666667	0.0126099537037038	-0.00677662037036963
59	5.48	5.48441550925926	5.48708333333333	-0.00266782407407429	-0.0044155092592586
60	5.48	5.47740162037037	5.49583333333333	-0.0184317129629629	0.00259837962963072
61	5.48	5.47365162037037	5.50458333333333	-0.0309317129629629	0.00634837962962997
62	5.48	5.46656828703704	5.51333333333333	-0.0467650462962962	0.0134317129629631
63	5.5	5.51913773148148	5.52166666666667	-0.00252893518518538	-0.0191377314814822
64	5.55	5.54719328703704	5.53041666666667	0.0167766203703699	0.00280671296296209
65	5.55	5.57066550925926	5.53958333333333	0.0310821759259258	-0.0206655092592598
66	5.57	5.57247106481482	5.54875	0.0237210648148146	-0.00247106481481474
67	5.58	5.56434606481482	5.55875	0.00559606481481508	0.0156539351851848
68	5.58	5.57038773148148	5.56958333333333	0.000804398148148626	0.00961226851851826
69	5.58	5.59031828703704	5.57958333333333	0.0107349537037039	-0.0103182870370375
70	5.59	5.6001099537037	5.5875	0.0126099537037038	-0.0101099537037044
71	5.59	5.59399884259259	5.59666666666667	-0.00266782407407429	-0.00399884259259231
72	5.59	5.5894849537037	5.60791666666667	-0.0184317129629629	0.000515046296296617
73	5.61	5.58740162037037	5.61833333333333	-0.0309317129629629	0.0225983796296303
74	5.61	5.58156828703704	5.62833333333333	-0.0467650462962962	0.0284317129629628
75	5.61	5.63580439814815	5.63833333333333	-0.00252893518518538	-0.0258043981481482
76	5.63	5.66469328703704	5.64791666666667	0.0167766203703699	-0.0346932870370376
77	5.69	5.68816550925926	5.65708333333333	0.0310821759259258	0.00183449074074016
78	5.7	5.68997106481482	5.66625	0.0237210648148146	0.0100289351851837
79	5.7	NA	NA	0.00559606481481508	NA
80	5.7	NA	NA	0.000804398148148626	NA
81	5.7	NA	NA	0.0107349537037039	NA
82	5.7	NA	NA	0.0126099537037038	NA
83	5.7	NA	NA	-0.00266782407407429	NA
84	5.7	NA	NA	-0.0184317129629629	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 4.23 & NA & NA & -0.0309317129629629 & NA \tabularnewline
2 & 4.38 & NA & NA & -0.0467650462962962 & NA \tabularnewline
3 & 4.43 & NA & NA & -0.00252893518518538 & NA \tabularnewline
4 & 4.44 & NA & NA & 0.0167766203703699 & NA \tabularnewline
5 & 4.44 & NA & NA & 0.0310821759259258 & NA \tabularnewline
6 & 4.44 & NA & NA & 0.0237210648148146 & NA \tabularnewline
7 & 4.44 & 4.43476273148148 & 4.42916666666667 & 0.00559606481481508 & 0.0052372685185178 \tabularnewline
8 & 4.44 & 4.44205439814815 & 4.44125 & 0.000804398148148626 & -0.00205439814814934 \tabularnewline
9 & 4.45 & 4.4557349537037 & 4.445 & 0.0107349537037039 & -0.00573495370370392 \tabularnewline
10 & 4.45 & 4.4588599537037 & 4.44625 & 0.0126099537037038 & -0.00885995370370374 \tabularnewline
11 & 4.45 & 4.44483217592593 & 4.4475 & -0.00266782407407429 & 0.00516782407407401 \tabularnewline
12 & 4.45 & 4.4307349537037 & 4.44916666666667 & -0.0184317129629629 & 0.0192650462962956 \tabularnewline
13 & 4.45 & 4.41990162037037 & 4.45083333333333 & -0.0309317129629629 & 0.0300983796296288 \tabularnewline
14 & 4.45 & 4.40656828703704 & 4.45333333333333 & -0.0467650462962962 & 0.0434317129629624 \tabularnewline
15 & 4.45 & 4.45788773148148 & 4.46041666666667 & -0.00252893518518538 & -0.0078877314814827 \tabularnewline
16 & 4.45 & 4.49177662037037 & 4.475 & 0.0167766203703699 & -0.0417766203703716 \tabularnewline
17 & 4.46 & 4.52483217592593 & 4.49375 & 0.0310821759259258 & -0.0648321759259272 \tabularnewline
18 & 4.46 & 4.53663773148148 & 4.51291666666667 & 0.0237210648148146 & -0.0766377314814823 \tabularnewline
19 & 4.46 & 4.53809606481482 & 4.5325 & 0.00559606481481508 & -0.0780960648148161 \tabularnewline
20 & 4.48 & 4.55330439814815 & 4.5525 & 0.000804398148148626 & -0.0733043981481485 \tabularnewline
21 & 4.58 & 4.5832349537037 & 4.5725 & 0.0107349537037039 & -0.00323495370370441 \tabularnewline
22 & 4.67 & 4.60510995370371 & 4.5925 & 0.0126099537037038 & 0.0648900462962949 \tabularnewline
23 & 4.68 & 4.60941550925926 & 4.61208333333333 & -0.00266782407407429 & 0.0705844907407398 \tabularnewline
24 & 4.68 & 4.61281828703704 & 4.63125 & -0.0184317129629629 & 0.0671817129629622 \tabularnewline
25 & 4.69 & 4.6194849537037 & 4.65041666666667 & -0.0309317129629629 & 0.0705150462962969 \tabularnewline
26 & 4.69 & 4.62365162037037 & 4.67041666666667 & -0.0467650462962962 & 0.0663483796296305 \tabularnewline
27 & 4.69 & 4.68663773148148 & 4.68916666666667 & -0.00252893518518538 & 0.00336226851851951 \tabularnewline
28 & 4.69 & 4.71927662037037 & 4.7025 & 0.0167766203703699 & -0.0292766203703687 \tabularnewline
29 & 4.69 & 4.74316550925926 & 4.71208333333333 & 0.0310821759259258 & -0.0531655092592578 \tabularnewline
30 & 4.69 & 4.74538773148148 & 4.72166666666667 & 0.0237210648148146 & -0.0553877314814804 \tabularnewline
31 & 4.69 & 4.73684606481481 & 4.73125 & 0.00559606481481508 & -0.0468460648148143 \tabularnewline
32 & 4.73 & 4.74163773148148 & 4.74083333333333 & 0.000804398148148626 & -0.0116377314814802 \tabularnewline
33 & 4.78 & 4.77615162037037 & 4.76541666666667 & 0.0107349537037039 & 0.00384837962963047 \tabularnewline
34 & 4.79 & 4.8213599537037 & 4.80875 & 0.0126099537037038 & -0.0313599537037037 \tabularnewline
35 & 4.79 & 4.85483217592593 & 4.8575 & -0.00266782407407429 & -0.0648321759259254 \tabularnewline
36 & 4.8 & 4.88906828703704 & 4.9075 & -0.0184317129629629 & -0.089068287037037 \tabularnewline
37 & 4.8 & 4.92656828703704 & 4.9575 & -0.0309317129629629 & -0.126568287037037 \tabularnewline
38 & 4.81 & 4.9594849537037 & 5.00625 & -0.0467650462962962 & -0.149484953703705 \tabularnewline
39 & 5.16 & 5.04913773148148 & 5.05166666666667 & -0.00252893518518538 & 0.110862268518518 \tabularnewline
40 & 5.26 & 5.1113599537037 & 5.09458333333333 & 0.0167766203703699 & 0.148640046296295 \tabularnewline
41 & 5.29 & 5.16816550925926 & 5.13708333333333 & 0.0310821759259258 & 0.12183449074074 \tabularnewline
42 & 5.29 & 5.20288773148148 & 5.17916666666667 & 0.0237210648148146 & 0.087112268518518 \tabularnewline
43 & 5.29 & 5.22642939814815 & 5.22083333333333 & 0.00559606481481508 & 0.0635706018518523 \tabularnewline
44 & 5.3 & 5.26288773148148 & 5.26208333333333 & 0.000804398148148626 & 0.037112268518519 \tabularnewline
45 & 5.3 & 5.29906828703704 & 5.28833333333333 & 0.0107349537037039 & 0.000931712962963793 \tabularnewline
46 & 5.3 & 5.31052662037037 & 5.29791666666666 & 0.0126099537037038 & -0.0105266203703689 \tabularnewline
47 & 5.3 & 5.30524884259259 & 5.30791666666667 & -0.00266782407407429 & -0.00524884259259117 \tabularnewline
48 & 5.3 & 5.3032349537037 & 5.32166666666667 & -0.0184317129629629 & -0.00323495370370264 \tabularnewline
49 & 5.3 & 5.3057349537037 & 5.33666666666667 & -0.0309317129629629 & -0.00573495370370214 \tabularnewline
50 & 5.3 & 5.30490162037037 & 5.35166666666666 & -0.0467650462962962 & -0.00490162037036868 \tabularnewline
51 & 5.3 & 5.36413773148148 & 5.36666666666667 & -0.00252893518518538 & -0.0641377314814804 \tabularnewline
52 & 5.35 & 5.39844328703704 & 5.38166666666667 & 0.0167766203703699 & -0.0484432870370366 \tabularnewline
53 & 5.44 & 5.42774884259259 & 5.39666666666667 & 0.0310821759259258 & 0.0122511574074089 \tabularnewline
54 & 5.47 & 5.43538773148148 & 5.41166666666667 & 0.0237210648148146 & 0.0346122685185186 \tabularnewline
55 & 5.47 & 5.43226273148148 & 5.42666666666667 & 0.00559606481481508 & 0.0377372685185184 \tabularnewline
56 & 5.48 & 5.44247106481482 & 5.44166666666667 & 0.000804398148148626 & 0.0375289351851853 \tabularnewline
57 & 5.48 & 5.4682349537037 & 5.4575 & 0.0107349537037039 & 0.011765046296297 \tabularnewline
58 & 5.48 & 5.48677662037037 & 5.47416666666667 & 0.0126099537037038 & -0.00677662037036963 \tabularnewline
59 & 5.48 & 5.48441550925926 & 5.48708333333333 & -0.00266782407407429 & -0.0044155092592586 \tabularnewline
60 & 5.48 & 5.47740162037037 & 5.49583333333333 & -0.0184317129629629 & 0.00259837962963072 \tabularnewline
61 & 5.48 & 5.47365162037037 & 5.50458333333333 & -0.0309317129629629 & 0.00634837962962997 \tabularnewline
62 & 5.48 & 5.46656828703704 & 5.51333333333333 & -0.0467650462962962 & 0.0134317129629631 \tabularnewline
63 & 5.5 & 5.51913773148148 & 5.52166666666667 & -0.00252893518518538 & -0.0191377314814822 \tabularnewline
64 & 5.55 & 5.54719328703704 & 5.53041666666667 & 0.0167766203703699 & 0.00280671296296209 \tabularnewline
65 & 5.55 & 5.57066550925926 & 5.53958333333333 & 0.0310821759259258 & -0.0206655092592598 \tabularnewline
66 & 5.57 & 5.57247106481482 & 5.54875 & 0.0237210648148146 & -0.00247106481481474 \tabularnewline
67 & 5.58 & 5.56434606481482 & 5.55875 & 0.00559606481481508 & 0.0156539351851848 \tabularnewline
68 & 5.58 & 5.57038773148148 & 5.56958333333333 & 0.000804398148148626 & 0.00961226851851826 \tabularnewline
69 & 5.58 & 5.59031828703704 & 5.57958333333333 & 0.0107349537037039 & -0.0103182870370375 \tabularnewline
70 & 5.59 & 5.6001099537037 & 5.5875 & 0.0126099537037038 & -0.0101099537037044 \tabularnewline
71 & 5.59 & 5.59399884259259 & 5.59666666666667 & -0.00266782407407429 & -0.00399884259259231 \tabularnewline
72 & 5.59 & 5.5894849537037 & 5.60791666666667 & -0.0184317129629629 & 0.000515046296296617 \tabularnewline
73 & 5.61 & 5.58740162037037 & 5.61833333333333 & -0.0309317129629629 & 0.0225983796296303 \tabularnewline
74 & 5.61 & 5.58156828703704 & 5.62833333333333 & -0.0467650462962962 & 0.0284317129629628 \tabularnewline
75 & 5.61 & 5.63580439814815 & 5.63833333333333 & -0.00252893518518538 & -0.0258043981481482 \tabularnewline
76 & 5.63 & 5.66469328703704 & 5.64791666666667 & 0.0167766203703699 & -0.0346932870370376 \tabularnewline
77 & 5.69 & 5.68816550925926 & 5.65708333333333 & 0.0310821759259258 & 0.00183449074074016 \tabularnewline
78 & 5.7 & 5.68997106481482 & 5.66625 & 0.0237210648148146 & 0.0100289351851837 \tabularnewline
79 & 5.7 & NA & NA & 0.00559606481481508 & NA \tabularnewline
80 & 5.7 & NA & NA & 0.000804398148148626 & NA \tabularnewline
81 & 5.7 & NA & NA & 0.0107349537037039 & NA \tabularnewline
82 & 5.7 & NA & NA & 0.0126099537037038 & NA \tabularnewline
83 & 5.7 & NA & NA & -0.00266782407407429 & NA \tabularnewline
84 & 5.7 & NA & NA & -0.0184317129629629 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156785&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]4.23[/C][C]NA[/C][C]NA[/C][C]-0.0309317129629629[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]4.38[/C][C]NA[/C][C]NA[/C][C]-0.0467650462962962[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]4.43[/C][C]NA[/C][C]NA[/C][C]-0.00252893518518538[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]4.44[/C][C]NA[/C][C]NA[/C][C]0.0167766203703699[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]4.44[/C][C]NA[/C][C]NA[/C][C]0.0310821759259258[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]4.44[/C][C]NA[/C][C]NA[/C][C]0.0237210648148146[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]4.44[/C][C]4.43476273148148[/C][C]4.42916666666667[/C][C]0.00559606481481508[/C][C]0.0052372685185178[/C][/ROW]
[ROW][C]8[/C][C]4.44[/C][C]4.44205439814815[/C][C]4.44125[/C][C]0.000804398148148626[/C][C]-0.00205439814814934[/C][/ROW]
[ROW][C]9[/C][C]4.45[/C][C]4.4557349537037[/C][C]4.445[/C][C]0.0107349537037039[/C][C]-0.00573495370370392[/C][/ROW]
[ROW][C]10[/C][C]4.45[/C][C]4.4588599537037[/C][C]4.44625[/C][C]0.0126099537037038[/C][C]-0.00885995370370374[/C][/ROW]
[ROW][C]11[/C][C]4.45[/C][C]4.44483217592593[/C][C]4.4475[/C][C]-0.00266782407407429[/C][C]0.00516782407407401[/C][/ROW]
[ROW][C]12[/C][C]4.45[/C][C]4.4307349537037[/C][C]4.44916666666667[/C][C]-0.0184317129629629[/C][C]0.0192650462962956[/C][/ROW]
[ROW][C]13[/C][C]4.45[/C][C]4.41990162037037[/C][C]4.45083333333333[/C][C]-0.0309317129629629[/C][C]0.0300983796296288[/C][/ROW]
[ROW][C]14[/C][C]4.45[/C][C]4.40656828703704[/C][C]4.45333333333333[/C][C]-0.0467650462962962[/C][C]0.0434317129629624[/C][/ROW]
[ROW][C]15[/C][C]4.45[/C][C]4.45788773148148[/C][C]4.46041666666667[/C][C]-0.00252893518518538[/C][C]-0.0078877314814827[/C][/ROW]
[ROW][C]16[/C][C]4.45[/C][C]4.49177662037037[/C][C]4.475[/C][C]0.0167766203703699[/C][C]-0.0417766203703716[/C][/ROW]
[ROW][C]17[/C][C]4.46[/C][C]4.52483217592593[/C][C]4.49375[/C][C]0.0310821759259258[/C][C]-0.0648321759259272[/C][/ROW]
[ROW][C]18[/C][C]4.46[/C][C]4.53663773148148[/C][C]4.51291666666667[/C][C]0.0237210648148146[/C][C]-0.0766377314814823[/C][/ROW]
[ROW][C]19[/C][C]4.46[/C][C]4.53809606481482[/C][C]4.5325[/C][C]0.00559606481481508[/C][C]-0.0780960648148161[/C][/ROW]
[ROW][C]20[/C][C]4.48[/C][C]4.55330439814815[/C][C]4.5525[/C][C]0.000804398148148626[/C][C]-0.0733043981481485[/C][/ROW]
[ROW][C]21[/C][C]4.58[/C][C]4.5832349537037[/C][C]4.5725[/C][C]0.0107349537037039[/C][C]-0.00323495370370441[/C][/ROW]
[ROW][C]22[/C][C]4.67[/C][C]4.60510995370371[/C][C]4.5925[/C][C]0.0126099537037038[/C][C]0.0648900462962949[/C][/ROW]
[ROW][C]23[/C][C]4.68[/C][C]4.60941550925926[/C][C]4.61208333333333[/C][C]-0.00266782407407429[/C][C]0.0705844907407398[/C][/ROW]
[ROW][C]24[/C][C]4.68[/C][C]4.61281828703704[/C][C]4.63125[/C][C]-0.0184317129629629[/C][C]0.0671817129629622[/C][/ROW]
[ROW][C]25[/C][C]4.69[/C][C]4.6194849537037[/C][C]4.65041666666667[/C][C]-0.0309317129629629[/C][C]0.0705150462962969[/C][/ROW]
[ROW][C]26[/C][C]4.69[/C][C]4.62365162037037[/C][C]4.67041666666667[/C][C]-0.0467650462962962[/C][C]0.0663483796296305[/C][/ROW]
[ROW][C]27[/C][C]4.69[/C][C]4.68663773148148[/C][C]4.68916666666667[/C][C]-0.00252893518518538[/C][C]0.00336226851851951[/C][/ROW]
[ROW][C]28[/C][C]4.69[/C][C]4.71927662037037[/C][C]4.7025[/C][C]0.0167766203703699[/C][C]-0.0292766203703687[/C][/ROW]
[ROW][C]29[/C][C]4.69[/C][C]4.74316550925926[/C][C]4.71208333333333[/C][C]0.0310821759259258[/C][C]-0.0531655092592578[/C][/ROW]
[ROW][C]30[/C][C]4.69[/C][C]4.74538773148148[/C][C]4.72166666666667[/C][C]0.0237210648148146[/C][C]-0.0553877314814804[/C][/ROW]
[ROW][C]31[/C][C]4.69[/C][C]4.73684606481481[/C][C]4.73125[/C][C]0.00559606481481508[/C][C]-0.0468460648148143[/C][/ROW]
[ROW][C]32[/C][C]4.73[/C][C]4.74163773148148[/C][C]4.74083333333333[/C][C]0.000804398148148626[/C][C]-0.0116377314814802[/C][/ROW]
[ROW][C]33[/C][C]4.78[/C][C]4.77615162037037[/C][C]4.76541666666667[/C][C]0.0107349537037039[/C][C]0.00384837962963047[/C][/ROW]
[ROW][C]34[/C][C]4.79[/C][C]4.8213599537037[/C][C]4.80875[/C][C]0.0126099537037038[/C][C]-0.0313599537037037[/C][/ROW]
[ROW][C]35[/C][C]4.79[/C][C]4.85483217592593[/C][C]4.8575[/C][C]-0.00266782407407429[/C][C]-0.0648321759259254[/C][/ROW]
[ROW][C]36[/C][C]4.8[/C][C]4.88906828703704[/C][C]4.9075[/C][C]-0.0184317129629629[/C][C]-0.089068287037037[/C][/ROW]
[ROW][C]37[/C][C]4.8[/C][C]4.92656828703704[/C][C]4.9575[/C][C]-0.0309317129629629[/C][C]-0.126568287037037[/C][/ROW]
[ROW][C]38[/C][C]4.81[/C][C]4.9594849537037[/C][C]5.00625[/C][C]-0.0467650462962962[/C][C]-0.149484953703705[/C][/ROW]
[ROW][C]39[/C][C]5.16[/C][C]5.04913773148148[/C][C]5.05166666666667[/C][C]-0.00252893518518538[/C][C]0.110862268518518[/C][/ROW]
[ROW][C]40[/C][C]5.26[/C][C]5.1113599537037[/C][C]5.09458333333333[/C][C]0.0167766203703699[/C][C]0.148640046296295[/C][/ROW]
[ROW][C]41[/C][C]5.29[/C][C]5.16816550925926[/C][C]5.13708333333333[/C][C]0.0310821759259258[/C][C]0.12183449074074[/C][/ROW]
[ROW][C]42[/C][C]5.29[/C][C]5.20288773148148[/C][C]5.17916666666667[/C][C]0.0237210648148146[/C][C]0.087112268518518[/C][/ROW]
[ROW][C]43[/C][C]5.29[/C][C]5.22642939814815[/C][C]5.22083333333333[/C][C]0.00559606481481508[/C][C]0.0635706018518523[/C][/ROW]
[ROW][C]44[/C][C]5.3[/C][C]5.26288773148148[/C][C]5.26208333333333[/C][C]0.000804398148148626[/C][C]0.037112268518519[/C][/ROW]
[ROW][C]45[/C][C]5.3[/C][C]5.29906828703704[/C][C]5.28833333333333[/C][C]0.0107349537037039[/C][C]0.000931712962963793[/C][/ROW]
[ROW][C]46[/C][C]5.3[/C][C]5.31052662037037[/C][C]5.29791666666666[/C][C]0.0126099537037038[/C][C]-0.0105266203703689[/C][/ROW]
[ROW][C]47[/C][C]5.3[/C][C]5.30524884259259[/C][C]5.30791666666667[/C][C]-0.00266782407407429[/C][C]-0.00524884259259117[/C][/ROW]
[ROW][C]48[/C][C]5.3[/C][C]5.3032349537037[/C][C]5.32166666666667[/C][C]-0.0184317129629629[/C][C]-0.00323495370370264[/C][/ROW]
[ROW][C]49[/C][C]5.3[/C][C]5.3057349537037[/C][C]5.33666666666667[/C][C]-0.0309317129629629[/C][C]-0.00573495370370214[/C][/ROW]
[ROW][C]50[/C][C]5.3[/C][C]5.30490162037037[/C][C]5.35166666666666[/C][C]-0.0467650462962962[/C][C]-0.00490162037036868[/C][/ROW]
[ROW][C]51[/C][C]5.3[/C][C]5.36413773148148[/C][C]5.36666666666667[/C][C]-0.00252893518518538[/C][C]-0.0641377314814804[/C][/ROW]
[ROW][C]52[/C][C]5.35[/C][C]5.39844328703704[/C][C]5.38166666666667[/C][C]0.0167766203703699[/C][C]-0.0484432870370366[/C][/ROW]
[ROW][C]53[/C][C]5.44[/C][C]5.42774884259259[/C][C]5.39666666666667[/C][C]0.0310821759259258[/C][C]0.0122511574074089[/C][/ROW]
[ROW][C]54[/C][C]5.47[/C][C]5.43538773148148[/C][C]5.41166666666667[/C][C]0.0237210648148146[/C][C]0.0346122685185186[/C][/ROW]
[ROW][C]55[/C][C]5.47[/C][C]5.43226273148148[/C][C]5.42666666666667[/C][C]0.00559606481481508[/C][C]0.0377372685185184[/C][/ROW]
[ROW][C]56[/C][C]5.48[/C][C]5.44247106481482[/C][C]5.44166666666667[/C][C]0.000804398148148626[/C][C]0.0375289351851853[/C][/ROW]
[ROW][C]57[/C][C]5.48[/C][C]5.4682349537037[/C][C]5.4575[/C][C]0.0107349537037039[/C][C]0.011765046296297[/C][/ROW]
[ROW][C]58[/C][C]5.48[/C][C]5.48677662037037[/C][C]5.47416666666667[/C][C]0.0126099537037038[/C][C]-0.00677662037036963[/C][/ROW]
[ROW][C]59[/C][C]5.48[/C][C]5.48441550925926[/C][C]5.48708333333333[/C][C]-0.00266782407407429[/C][C]-0.0044155092592586[/C][/ROW]
[ROW][C]60[/C][C]5.48[/C][C]5.47740162037037[/C][C]5.49583333333333[/C][C]-0.0184317129629629[/C][C]0.00259837962963072[/C][/ROW]
[ROW][C]61[/C][C]5.48[/C][C]5.47365162037037[/C][C]5.50458333333333[/C][C]-0.0309317129629629[/C][C]0.00634837962962997[/C][/ROW]
[ROW][C]62[/C][C]5.48[/C][C]5.46656828703704[/C][C]5.51333333333333[/C][C]-0.0467650462962962[/C][C]0.0134317129629631[/C][/ROW]
[ROW][C]63[/C][C]5.5[/C][C]5.51913773148148[/C][C]5.52166666666667[/C][C]-0.00252893518518538[/C][C]-0.0191377314814822[/C][/ROW]
[ROW][C]64[/C][C]5.55[/C][C]5.54719328703704[/C][C]5.53041666666667[/C][C]0.0167766203703699[/C][C]0.00280671296296209[/C][/ROW]
[ROW][C]65[/C][C]5.55[/C][C]5.57066550925926[/C][C]5.53958333333333[/C][C]0.0310821759259258[/C][C]-0.0206655092592598[/C][/ROW]
[ROW][C]66[/C][C]5.57[/C][C]5.57247106481482[/C][C]5.54875[/C][C]0.0237210648148146[/C][C]-0.00247106481481474[/C][/ROW]
[ROW][C]67[/C][C]5.58[/C][C]5.56434606481482[/C][C]5.55875[/C][C]0.00559606481481508[/C][C]0.0156539351851848[/C][/ROW]
[ROW][C]68[/C][C]5.58[/C][C]5.57038773148148[/C][C]5.56958333333333[/C][C]0.000804398148148626[/C][C]0.00961226851851826[/C][/ROW]
[ROW][C]69[/C][C]5.58[/C][C]5.59031828703704[/C][C]5.57958333333333[/C][C]0.0107349537037039[/C][C]-0.0103182870370375[/C][/ROW]
[ROW][C]70[/C][C]5.59[/C][C]5.6001099537037[/C][C]5.5875[/C][C]0.0126099537037038[/C][C]-0.0101099537037044[/C][/ROW]
[ROW][C]71[/C][C]5.59[/C][C]5.59399884259259[/C][C]5.59666666666667[/C][C]-0.00266782407407429[/C][C]-0.00399884259259231[/C][/ROW]
[ROW][C]72[/C][C]5.59[/C][C]5.5894849537037[/C][C]5.60791666666667[/C][C]-0.0184317129629629[/C][C]0.000515046296296617[/C][/ROW]
[ROW][C]73[/C][C]5.61[/C][C]5.58740162037037[/C][C]5.61833333333333[/C][C]-0.0309317129629629[/C][C]0.0225983796296303[/C][/ROW]
[ROW][C]74[/C][C]5.61[/C][C]5.58156828703704[/C][C]5.62833333333333[/C][C]-0.0467650462962962[/C][C]0.0284317129629628[/C][/ROW]
[ROW][C]75[/C][C]5.61[/C][C]5.63580439814815[/C][C]5.63833333333333[/C][C]-0.00252893518518538[/C][C]-0.0258043981481482[/C][/ROW]
[ROW][C]76[/C][C]5.63[/C][C]5.66469328703704[/C][C]5.64791666666667[/C][C]0.0167766203703699[/C][C]-0.0346932870370376[/C][/ROW]
[ROW][C]77[/C][C]5.69[/C][C]5.68816550925926[/C][C]5.65708333333333[/C][C]0.0310821759259258[/C][C]0.00183449074074016[/C][/ROW]
[ROW][C]78[/C][C]5.7[/C][C]5.68997106481482[/C][C]5.66625[/C][C]0.0237210648148146[/C][C]0.0100289351851837[/C][/ROW]
[ROW][C]79[/C][C]5.7[/C][C]NA[/C][C]NA[/C][C]0.00559606481481508[/C][C]NA[/C][/ROW]
[ROW][C]80[/C][C]5.7[/C][C]NA[/C][C]NA[/C][C]0.000804398148148626[/C][C]NA[/C][/ROW]
[ROW][C]81[/C][C]5.7[/C][C]NA[/C][C]NA[/C][C]0.0107349537037039[/C][C]NA[/C][/ROW]
[ROW][C]82[/C][C]5.7[/C][C]NA[/C][C]NA[/C][C]0.0126099537037038[/C][C]NA[/C][/ROW]
[ROW][C]83[/C][C]5.7[/C][C]NA[/C][C]NA[/C][C]-0.00266782407407429[/C][C]NA[/C][/ROW]
[ROW][C]84[/C][C]5.7[/C][C]NA[/C][C]NA[/C][C]-0.0184317129629629[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156785&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156785&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	4.23	NA	NA	-0.0309317129629629	NA
2	4.38	NA	NA	-0.0467650462962962	NA
3	4.43	NA	NA	-0.00252893518518538	NA
4	4.44	NA	NA	0.0167766203703699	NA
5	4.44	NA	NA	0.0310821759259258	NA
6	4.44	NA	NA	0.0237210648148146	NA
7	4.44	4.43476273148148	4.42916666666667	0.00559606481481508	0.0052372685185178
8	4.44	4.44205439814815	4.44125	0.000804398148148626	-0.00205439814814934
9	4.45	4.4557349537037	4.445	0.0107349537037039	-0.00573495370370392
10	4.45	4.4588599537037	4.44625	0.0126099537037038	-0.00885995370370374
11	4.45	4.44483217592593	4.4475	-0.00266782407407429	0.00516782407407401
12	4.45	4.4307349537037	4.44916666666667	-0.0184317129629629	0.0192650462962956
13	4.45	4.41990162037037	4.45083333333333	-0.0309317129629629	0.0300983796296288
14	4.45	4.40656828703704	4.45333333333333	-0.0467650462962962	0.0434317129629624
15	4.45	4.45788773148148	4.46041666666667	-0.00252893518518538	-0.0078877314814827
16	4.45	4.49177662037037	4.475	0.0167766203703699	-0.0417766203703716
17	4.46	4.52483217592593	4.49375	0.0310821759259258	-0.0648321759259272
18	4.46	4.53663773148148	4.51291666666667	0.0237210648148146	-0.0766377314814823
19	4.46	4.53809606481482	4.5325	0.00559606481481508	-0.0780960648148161
20	4.48	4.55330439814815	4.5525	0.000804398148148626	-0.0733043981481485
21	4.58	4.5832349537037	4.5725	0.0107349537037039	-0.00323495370370441
22	4.67	4.60510995370371	4.5925	0.0126099537037038	0.0648900462962949
23	4.68	4.60941550925926	4.61208333333333	-0.00266782407407429	0.0705844907407398
24	4.68	4.61281828703704	4.63125	-0.0184317129629629	0.0671817129629622
25	4.69	4.6194849537037	4.65041666666667	-0.0309317129629629	0.0705150462962969
26	4.69	4.62365162037037	4.67041666666667	-0.0467650462962962	0.0663483796296305
27	4.69	4.68663773148148	4.68916666666667	-0.00252893518518538	0.00336226851851951
28	4.69	4.71927662037037	4.7025	0.0167766203703699	-0.0292766203703687
29	4.69	4.74316550925926	4.71208333333333	0.0310821759259258	-0.0531655092592578
30	4.69	4.74538773148148	4.72166666666667	0.0237210648148146	-0.0553877314814804
31	4.69	4.73684606481481	4.73125	0.00559606481481508	-0.0468460648148143
32	4.73	4.74163773148148	4.74083333333333	0.000804398148148626	-0.0116377314814802
33	4.78	4.77615162037037	4.76541666666667	0.0107349537037039	0.00384837962963047
34	4.79	4.8213599537037	4.80875	0.0126099537037038	-0.0313599537037037
35	4.79	4.85483217592593	4.8575	-0.00266782407407429	-0.0648321759259254
36	4.8	4.88906828703704	4.9075	-0.0184317129629629	-0.089068287037037
37	4.8	4.92656828703704	4.9575	-0.0309317129629629	-0.126568287037037
38	4.81	4.9594849537037	5.00625	-0.0467650462962962	-0.149484953703705
39	5.16	5.04913773148148	5.05166666666667	-0.00252893518518538	0.110862268518518
40	5.26	5.1113599537037	5.09458333333333	0.0167766203703699	0.148640046296295
41	5.29	5.16816550925926	5.13708333333333	0.0310821759259258	0.12183449074074
42	5.29	5.20288773148148	5.17916666666667	0.0237210648148146	0.087112268518518
43	5.29	5.22642939814815	5.22083333333333	0.00559606481481508	0.0635706018518523
44	5.3	5.26288773148148	5.26208333333333	0.000804398148148626	0.037112268518519
45	5.3	5.29906828703704	5.28833333333333	0.0107349537037039	0.000931712962963793
46	5.3	5.31052662037037	5.29791666666666	0.0126099537037038	-0.0105266203703689
47	5.3	5.30524884259259	5.30791666666667	-0.00266782407407429	-0.00524884259259117
48	5.3	5.3032349537037	5.32166666666667	-0.0184317129629629	-0.00323495370370264
49	5.3	5.3057349537037	5.33666666666667	-0.0309317129629629	-0.00573495370370214
50	5.3	5.30490162037037	5.35166666666666	-0.0467650462962962	-0.00490162037036868
51	5.3	5.36413773148148	5.36666666666667	-0.00252893518518538	-0.0641377314814804
52	5.35	5.39844328703704	5.38166666666667	0.0167766203703699	-0.0484432870370366
53	5.44	5.42774884259259	5.39666666666667	0.0310821759259258	0.0122511574074089
54	5.47	5.43538773148148	5.41166666666667	0.0237210648148146	0.0346122685185186
55	5.47	5.43226273148148	5.42666666666667	0.00559606481481508	0.0377372685185184
56	5.48	5.44247106481482	5.44166666666667	0.000804398148148626	0.0375289351851853
57	5.48	5.4682349537037	5.4575	0.0107349537037039	0.011765046296297
58	5.48	5.48677662037037	5.47416666666667	0.0126099537037038	-0.00677662037036963
59	5.48	5.48441550925926	5.48708333333333	-0.00266782407407429	-0.0044155092592586
60	5.48	5.47740162037037	5.49583333333333	-0.0184317129629629	0.00259837962963072
61	5.48	5.47365162037037	5.50458333333333	-0.0309317129629629	0.00634837962962997
62	5.48	5.46656828703704	5.51333333333333	-0.0467650462962962	0.0134317129629631
63	5.5	5.51913773148148	5.52166666666667	-0.00252893518518538	-0.0191377314814822
64	5.55	5.54719328703704	5.53041666666667	0.0167766203703699	0.00280671296296209
65	5.55	5.57066550925926	5.53958333333333	0.0310821759259258	-0.0206655092592598
66	5.57	5.57247106481482	5.54875	0.0237210648148146	-0.00247106481481474
67	5.58	5.56434606481482	5.55875	0.00559606481481508	0.0156539351851848
68	5.58	5.57038773148148	5.56958333333333	0.000804398148148626	0.00961226851851826
69	5.58	5.59031828703704	5.57958333333333	0.0107349537037039	-0.0103182870370375
70	5.59	5.6001099537037	5.5875	0.0126099537037038	-0.0101099537037044
71	5.59	5.59399884259259	5.59666666666667	-0.00266782407407429	-0.00399884259259231
72	5.59	5.5894849537037	5.60791666666667	-0.0184317129629629	0.000515046296296617
73	5.61	5.58740162037037	5.61833333333333	-0.0309317129629629	0.0225983796296303
74	5.61	5.58156828703704	5.62833333333333	-0.0467650462962962	0.0284317129629628
75	5.61	5.63580439814815	5.63833333333333	-0.00252893518518538	-0.0258043981481482
76	5.63	5.66469328703704	5.64791666666667	0.0167766203703699	-0.0346932870370376
77	5.69	5.68816550925926	5.65708333333333	0.0310821759259258	0.00183449074074016
78	5.7	5.68997106481482	5.66625	0.0237210648148146	0.0100289351851837
79	5.7	NA	NA	0.00559606481481508	NA
80	5.7	NA	NA	0.000804398148148626	NA
81	5.7	NA	NA	0.0107349537037039	NA
82	5.7	NA	NA	0.0126099537037038	NA
83	5.7	NA	NA	-0.00266782407407429	NA
84	5.7	NA	NA	-0.0184317129629629	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