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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Tue, 04 Aug 2009 04:19:22 -0600

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Aug/04/t1249381207ncpsphneqjznfaw.htm/, Retrieved Sun, 19 May 2024 15:24:48 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42475, Retrieved Sun, 19 May 2024 15:24:48 +0000

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User-defined keywords

roze garnalen

Estimated Impact

202

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

-       [Classical Decomposition] [Vermeulennickopga...] [2009-08-04 10:19:22] [d41d8cd98f00b204e9800998ecf8427e] [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	'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=42475&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=42475&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42475&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	106.61	NA	NA	-0.791443452380953	NA
2	107.86	NA	NA	0.0503422619047586	NA
3	108.07	NA	NA	-0.038883928571434	NA
4	109.68	NA	NA	0.0342113095238067	NA
5	108.57	NA	NA	-0.374181547619051	NA
6	108.08	NA	NA	0.340699404761903	NA
7	109.8	109.680461309524	109.315	0.36546130952381	0.119538690476205
8	110.7	110.331830357143	109.63	0.701830357142856	0.368169642857154
9	110.72	109.939032738095	109.874166666667	0.0648660714285813	0.780967261904777
10	109.85	109.923258928571	110.005	-0.0817410714285724	-0.073258928571434
11	109.71	109.906235119048	110.121666666667	-0.215431547619043	-0.1962351190476
12	110	110.311354166667	110.367083333333	-0.0557291666666628	-0.311354166666646
13	110.87	109.809806547619	110.60125	-0.791443452380953	1.06019345238096
14	111.16	110.799925595238	110.749583333333	0.0503422619047586	0.360074404761917
15	110.63	110.843199404762	110.882083333333	-0.038883928571434	-0.213199404761895
16	110.26	111.065461309524	111.03125	0.0342113095238067	-0.805461309523807
17	110.79	110.803735119048	111.177916666667	-0.374181547619051	-0.0137351190476238
18	111.75	111.682366071429	111.341666666667	0.340699404761903	0.0676339285714391
19	111.75	111.852544642857	111.487083333333	0.36546130952381	-0.102544642857154
20	112.31	112.300580357143	111.59875	0.701830357142856	0.00941964285715358
21	112.29	111.870699404762	111.805833333333	0.0648660714285813	0.419300595238084
22	111.86	112.029092261905	112.110833333333	-0.0817410714285724	-0.169092261904765
23	111.22	112.126651785714	112.342083333333	-0.215431547619043	-0.906651785714274
24	112.42	112.4871875	112.542916666667	-0.0557291666666628	-0.0671874999999886
25	111.94	112.060639880952	112.852083333333	-0.791443452380953	-0.120639880952368
26	112.77	113.298675595238	113.248333333333	0.0503422619047586	-0.528675595238099
27	113.99	113.659032738095	113.697916666667	-0.038883928571434	0.330967261904789
28	114.22	114.220461309524	114.18625	0.0342113095238067	-0.000461309523799969
29	112.38	114.474985119048	114.849166666667	-0.374181547619051	-2.09498511904761
30	114.98	115.986116071429	115.645416666667	0.340699404761903	-1.00611607142855
31	115.94	116.837961309524	116.4725	0.36546130952381	-0.89796130952378
32	117.63	118.009747023810	117.307916666667	0.701830357142856	-0.379747023809514
33	117.76	118.115699404762	118.050833333333	0.0648660714285813	-0.355699404761893
34	118.11	118.633675595238	118.715416666667	-0.0817410714285724	-0.523675595238075
35	120.88	119.347901785714	119.563333333333	-0.215431547619043	1.53209821428572
36	121.87	120.4884375	120.544166666667	-0.0557291666666628	1.3815625
37	122.34	120.653139880952	121.444583333333	-0.791443452380953	1.68686011904764
38	122.42	122.333675595238	122.283333333333	0.0503422619047586	0.0863244047618963
39	122.17	122.959449404762	122.998333333333	-0.038883928571434	-0.78944940476191
40	121.99	123.661711309524	123.6275	0.0342113095238067	-1.67171130952381
41	124.96	123.748735119048	124.122916666667	-0.374181547619051	1.21126488095237
42	125.94	124.751116071429	124.410416666667	0.340699404761903	1.18888392857141
43	126.59	124.930461309524	124.565	0.36546130952381	1.65953869047618
44	127.11	125.385997023809	124.684166666667	0.701830357142856	1.72400297619050
45	125.44	124.910699404762	124.845833333333	0.0648660714285813	0.529300595238084
46	125.53	125.064092261905	125.145833333333	-0.0817410714285724	0.46590773809524
47	125.35	125.130818452381	125.34625	-0.215431547619043	0.21918154761903
48	124.3	125.228854166667	125.284583333333	-0.0557291666666628	-0.928854166666667
49	123.62	124.381889880952	125.173333333333	-0.791443452380953	-0.761889880952367
50	124	125.124925595238	125.074583333333	0.0503422619047586	-1.12492559523808
51	124.47	124.984866071429	125.02375	-0.038883928571434	-0.514866071428571
52	126.89	125.042961309524	125.00875	0.0342113095238067	1.84703869047618
53	124.87	124.561651785714	124.935833333333	-0.374181547619051	0.308348214285729
54	124.55	125.221116071429	124.880416666667	0.340699404761903	-0.671116071428557
55	125.31	125.307961309524	124.9425	0.36546130952381	0.00203869047619776
56	126.02	125.772247023810	125.070416666667	0.701830357142856	0.247752976190483
57	125.31	125.325699404762	125.260833333333	0.0648660714285813	-0.0156994047619037
58	125.3	125.314925595238	125.396666666667	-0.0817410714285724	-0.0149255952380827
59	123.83	125.249568452381	125.465	-0.215431547619043	-1.41956845238093
60	124.49	125.553854166667	125.609583333333	-0.0557291666666628	-1.06385416666664
61	124.92	125.015223214286	125.806666666667	-0.791443452380953	-0.0952232142856815
62	125.77	125.990342261905	125.94	0.0503422619047586	-0.220342261904747
63	127.27	126.002366071429	126.04125	-0.038883928571434	1.26763392857144
64	127.35	126.252961309524	126.21875	0.0342113095238067	1.09703869047618
65	126.05	126.122068452381	126.49625	-0.374181547619051	-0.072068452380961
66	126.84	127.155282738095	126.814583333333	0.340699404761903	-0.315282738095220
67	127.75	127.348377976190	126.982916666667	0.36546130952381	0.401622023809537
68	126.78	127.802663690476	127.100833333333	0.701830357142856	-1.02266369047616
69	126.98	127.293199404762	127.228333333333	0.0648660714285813	-0.313199404761875
70	127.89	127.184508928571	127.26625	-0.0817410714285724	0.705491071428582
71	127.9	127.094568452381	127.31	-0.215431547619043	0.805431547619065
72	128.06	127.329270833333	127.385	-0.0557291666666628	0.730729166666677
73	125.39	126.646056547619	127.4375	-0.791443452380953	-1.25605654761904
74	128.13	127.592008928571	127.541666666667	0.0503422619047586	0.537991071428593
75	127.97	127.659866071429	127.69875	-0.038883928571434	0.310133928571446
76	127.56	127.859211309524	127.825	0.0342113095238067	-0.299211309523798
77	126.89	127.597901785714	127.972083333333	-0.374181547619051	-0.707901785714284
78	127.8	128.516949404762	128.17625	0.340699404761903	-0.71694940476192
79	128.05	128.843377976190	128.477916666667	0.36546130952381	-0.793377976190456
80	128.98	129.538080357143	128.83625	0.701830357142856	-0.55808035714287
81	128.55	129.206116071429	129.14125	0.0648660714285813	-0.656116071428556
82	129.35	129.351592261905	129.433333333333	-0.0817410714285724	-0.00159226190476147
83	129.97	129.615401785714	129.830833333333	-0.215431547619043	0.354598214285716
84	130.89	130.2421875	130.297916666667	-0.0557291666666628	0.647812499999986
85	129.8	129.924389880952	130.715833333333	-0.791443452380953	-0.124389880952378
86	132.32	131.041592261905	130.99125	0.0503422619047586	1.27840773809527
87	131.1	131.102366071429	131.14125	-0.038883928571434	-0.00236607142855405
88	131.44	131.218377976190	131.184166666667	0.0342113095238067	0.221622023809545
89	132.55	130.792068452381	131.16625	-0.374181547619051	1.75793154761908
90	133.35	131.508199404762	131.1675	0.340699404761903	1.84180059523811
91	132.53	NA	NA	0.36546130952381	NA
92	131.11	NA	NA	0.701830357142856	NA
93	130.02	NA	NA	0.0648660714285813	NA
94	128.91	NA	NA	-0.0817410714285724	NA
95	129.98	NA	NA	-0.215431547619043	NA
96	130.91	NA	NA	-0.0557291666666628	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 106.61 & NA & NA & -0.791443452380953 & NA \tabularnewline
2 & 107.86 & NA & NA & 0.0503422619047586 & NA \tabularnewline
3 & 108.07 & NA & NA & -0.038883928571434 & NA \tabularnewline
4 & 109.68 & NA & NA & 0.0342113095238067 & NA \tabularnewline
5 & 108.57 & NA & NA & -0.374181547619051 & NA \tabularnewline
6 & 108.08 & NA & NA & 0.340699404761903 & NA \tabularnewline
7 & 109.8 & 109.680461309524 & 109.315 & 0.36546130952381 & 0.119538690476205 \tabularnewline
8 & 110.7 & 110.331830357143 & 109.63 & 0.701830357142856 & 0.368169642857154 \tabularnewline
9 & 110.72 & 109.939032738095 & 109.874166666667 & 0.0648660714285813 & 0.780967261904777 \tabularnewline
10 & 109.85 & 109.923258928571 & 110.005 & -0.0817410714285724 & -0.073258928571434 \tabularnewline
11 & 109.71 & 109.906235119048 & 110.121666666667 & -0.215431547619043 & -0.1962351190476 \tabularnewline
12 & 110 & 110.311354166667 & 110.367083333333 & -0.0557291666666628 & -0.311354166666646 \tabularnewline
13 & 110.87 & 109.809806547619 & 110.60125 & -0.791443452380953 & 1.06019345238096 \tabularnewline
14 & 111.16 & 110.799925595238 & 110.749583333333 & 0.0503422619047586 & 0.360074404761917 \tabularnewline
15 & 110.63 & 110.843199404762 & 110.882083333333 & -0.038883928571434 & -0.213199404761895 \tabularnewline
16 & 110.26 & 111.065461309524 & 111.03125 & 0.0342113095238067 & -0.805461309523807 \tabularnewline
17 & 110.79 & 110.803735119048 & 111.177916666667 & -0.374181547619051 & -0.0137351190476238 \tabularnewline
18 & 111.75 & 111.682366071429 & 111.341666666667 & 0.340699404761903 & 0.0676339285714391 \tabularnewline
19 & 111.75 & 111.852544642857 & 111.487083333333 & 0.36546130952381 & -0.102544642857154 \tabularnewline
20 & 112.31 & 112.300580357143 & 111.59875 & 0.701830357142856 & 0.00941964285715358 \tabularnewline
21 & 112.29 & 111.870699404762 & 111.805833333333 & 0.0648660714285813 & 0.419300595238084 \tabularnewline
22 & 111.86 & 112.029092261905 & 112.110833333333 & -0.0817410714285724 & -0.169092261904765 \tabularnewline
23 & 111.22 & 112.126651785714 & 112.342083333333 & -0.215431547619043 & -0.906651785714274 \tabularnewline
24 & 112.42 & 112.4871875 & 112.542916666667 & -0.0557291666666628 & -0.0671874999999886 \tabularnewline
25 & 111.94 & 112.060639880952 & 112.852083333333 & -0.791443452380953 & -0.120639880952368 \tabularnewline
26 & 112.77 & 113.298675595238 & 113.248333333333 & 0.0503422619047586 & -0.528675595238099 \tabularnewline
27 & 113.99 & 113.659032738095 & 113.697916666667 & -0.038883928571434 & 0.330967261904789 \tabularnewline
28 & 114.22 & 114.220461309524 & 114.18625 & 0.0342113095238067 & -0.000461309523799969 \tabularnewline
29 & 112.38 & 114.474985119048 & 114.849166666667 & -0.374181547619051 & -2.09498511904761 \tabularnewline
30 & 114.98 & 115.986116071429 & 115.645416666667 & 0.340699404761903 & -1.00611607142855 \tabularnewline
31 & 115.94 & 116.837961309524 & 116.4725 & 0.36546130952381 & -0.89796130952378 \tabularnewline
32 & 117.63 & 118.009747023810 & 117.307916666667 & 0.701830357142856 & -0.379747023809514 \tabularnewline
33 & 117.76 & 118.115699404762 & 118.050833333333 & 0.0648660714285813 & -0.355699404761893 \tabularnewline
34 & 118.11 & 118.633675595238 & 118.715416666667 & -0.0817410714285724 & -0.523675595238075 \tabularnewline
35 & 120.88 & 119.347901785714 & 119.563333333333 & -0.215431547619043 & 1.53209821428572 \tabularnewline
36 & 121.87 & 120.4884375 & 120.544166666667 & -0.0557291666666628 & 1.3815625 \tabularnewline
37 & 122.34 & 120.653139880952 & 121.444583333333 & -0.791443452380953 & 1.68686011904764 \tabularnewline
38 & 122.42 & 122.333675595238 & 122.283333333333 & 0.0503422619047586 & 0.0863244047618963 \tabularnewline
39 & 122.17 & 122.959449404762 & 122.998333333333 & -0.038883928571434 & -0.78944940476191 \tabularnewline
40 & 121.99 & 123.661711309524 & 123.6275 & 0.0342113095238067 & -1.67171130952381 \tabularnewline
41 & 124.96 & 123.748735119048 & 124.122916666667 & -0.374181547619051 & 1.21126488095237 \tabularnewline
42 & 125.94 & 124.751116071429 & 124.410416666667 & 0.340699404761903 & 1.18888392857141 \tabularnewline
43 & 126.59 & 124.930461309524 & 124.565 & 0.36546130952381 & 1.65953869047618 \tabularnewline
44 & 127.11 & 125.385997023809 & 124.684166666667 & 0.701830357142856 & 1.72400297619050 \tabularnewline
45 & 125.44 & 124.910699404762 & 124.845833333333 & 0.0648660714285813 & 0.529300595238084 \tabularnewline
46 & 125.53 & 125.064092261905 & 125.145833333333 & -0.0817410714285724 & 0.46590773809524 \tabularnewline
47 & 125.35 & 125.130818452381 & 125.34625 & -0.215431547619043 & 0.21918154761903 \tabularnewline
48 & 124.3 & 125.228854166667 & 125.284583333333 & -0.0557291666666628 & -0.928854166666667 \tabularnewline
49 & 123.62 & 124.381889880952 & 125.173333333333 & -0.791443452380953 & -0.761889880952367 \tabularnewline
50 & 124 & 125.124925595238 & 125.074583333333 & 0.0503422619047586 & -1.12492559523808 \tabularnewline
51 & 124.47 & 124.984866071429 & 125.02375 & -0.038883928571434 & -0.514866071428571 \tabularnewline
52 & 126.89 & 125.042961309524 & 125.00875 & 0.0342113095238067 & 1.84703869047618 \tabularnewline
53 & 124.87 & 124.561651785714 & 124.935833333333 & -0.374181547619051 & 0.308348214285729 \tabularnewline
54 & 124.55 & 125.221116071429 & 124.880416666667 & 0.340699404761903 & -0.671116071428557 \tabularnewline
55 & 125.31 & 125.307961309524 & 124.9425 & 0.36546130952381 & 0.00203869047619776 \tabularnewline
56 & 126.02 & 125.772247023810 & 125.070416666667 & 0.701830357142856 & 0.247752976190483 \tabularnewline
57 & 125.31 & 125.325699404762 & 125.260833333333 & 0.0648660714285813 & -0.0156994047619037 \tabularnewline
58 & 125.3 & 125.314925595238 & 125.396666666667 & -0.0817410714285724 & -0.0149255952380827 \tabularnewline
59 & 123.83 & 125.249568452381 & 125.465 & -0.215431547619043 & -1.41956845238093 \tabularnewline
60 & 124.49 & 125.553854166667 & 125.609583333333 & -0.0557291666666628 & -1.06385416666664 \tabularnewline
61 & 124.92 & 125.015223214286 & 125.806666666667 & -0.791443452380953 & -0.0952232142856815 \tabularnewline
62 & 125.77 & 125.990342261905 & 125.94 & 0.0503422619047586 & -0.220342261904747 \tabularnewline
63 & 127.27 & 126.002366071429 & 126.04125 & -0.038883928571434 & 1.26763392857144 \tabularnewline
64 & 127.35 & 126.252961309524 & 126.21875 & 0.0342113095238067 & 1.09703869047618 \tabularnewline
65 & 126.05 & 126.122068452381 & 126.49625 & -0.374181547619051 & -0.072068452380961 \tabularnewline
66 & 126.84 & 127.155282738095 & 126.814583333333 & 0.340699404761903 & -0.315282738095220 \tabularnewline
67 & 127.75 & 127.348377976190 & 126.982916666667 & 0.36546130952381 & 0.401622023809537 \tabularnewline
68 & 126.78 & 127.802663690476 & 127.100833333333 & 0.701830357142856 & -1.02266369047616 \tabularnewline
69 & 126.98 & 127.293199404762 & 127.228333333333 & 0.0648660714285813 & -0.313199404761875 \tabularnewline
70 & 127.89 & 127.184508928571 & 127.26625 & -0.0817410714285724 & 0.705491071428582 \tabularnewline
71 & 127.9 & 127.094568452381 & 127.31 & -0.215431547619043 & 0.805431547619065 \tabularnewline
72 & 128.06 & 127.329270833333 & 127.385 & -0.0557291666666628 & 0.730729166666677 \tabularnewline
73 & 125.39 & 126.646056547619 & 127.4375 & -0.791443452380953 & -1.25605654761904 \tabularnewline
74 & 128.13 & 127.592008928571 & 127.541666666667 & 0.0503422619047586 & 0.537991071428593 \tabularnewline
75 & 127.97 & 127.659866071429 & 127.69875 & -0.038883928571434 & 0.310133928571446 \tabularnewline
76 & 127.56 & 127.859211309524 & 127.825 & 0.0342113095238067 & -0.299211309523798 \tabularnewline
77 & 126.89 & 127.597901785714 & 127.972083333333 & -0.374181547619051 & -0.707901785714284 \tabularnewline
78 & 127.8 & 128.516949404762 & 128.17625 & 0.340699404761903 & -0.71694940476192 \tabularnewline
79 & 128.05 & 128.843377976190 & 128.477916666667 & 0.36546130952381 & -0.793377976190456 \tabularnewline
80 & 128.98 & 129.538080357143 & 128.83625 & 0.701830357142856 & -0.55808035714287 \tabularnewline
81 & 128.55 & 129.206116071429 & 129.14125 & 0.0648660714285813 & -0.656116071428556 \tabularnewline
82 & 129.35 & 129.351592261905 & 129.433333333333 & -0.0817410714285724 & -0.00159226190476147 \tabularnewline
83 & 129.97 & 129.615401785714 & 129.830833333333 & -0.215431547619043 & 0.354598214285716 \tabularnewline
84 & 130.89 & 130.2421875 & 130.297916666667 & -0.0557291666666628 & 0.647812499999986 \tabularnewline
85 & 129.8 & 129.924389880952 & 130.715833333333 & -0.791443452380953 & -0.124389880952378 \tabularnewline
86 & 132.32 & 131.041592261905 & 130.99125 & 0.0503422619047586 & 1.27840773809527 \tabularnewline
87 & 131.1 & 131.102366071429 & 131.14125 & -0.038883928571434 & -0.00236607142855405 \tabularnewline
88 & 131.44 & 131.218377976190 & 131.184166666667 & 0.0342113095238067 & 0.221622023809545 \tabularnewline
89 & 132.55 & 130.792068452381 & 131.16625 & -0.374181547619051 & 1.75793154761908 \tabularnewline
90 & 133.35 & 131.508199404762 & 131.1675 & 0.340699404761903 & 1.84180059523811 \tabularnewline
91 & 132.53 & NA & NA & 0.36546130952381 & NA \tabularnewline
92 & 131.11 & NA & NA & 0.701830357142856 & NA \tabularnewline
93 & 130.02 & NA & NA & 0.0648660714285813 & NA \tabularnewline
94 & 128.91 & NA & NA & -0.0817410714285724 & NA \tabularnewline
95 & 129.98 & NA & NA & -0.215431547619043 & NA \tabularnewline
96 & 130.91 & NA & NA & -0.0557291666666628 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42475&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]106.61[/C][C]NA[/C][C]NA[/C][C]-0.791443452380953[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]107.86[/C][C]NA[/C][C]NA[/C][C]0.0503422619047586[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]108.07[/C][C]NA[/C][C]NA[/C][C]-0.038883928571434[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]109.68[/C][C]NA[/C][C]NA[/C][C]0.0342113095238067[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]108.57[/C][C]NA[/C][C]NA[/C][C]-0.374181547619051[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]108.08[/C][C]NA[/C][C]NA[/C][C]0.340699404761903[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]109.8[/C][C]109.680461309524[/C][C]109.315[/C][C]0.36546130952381[/C][C]0.119538690476205[/C][/ROW]
[ROW][C]8[/C][C]110.7[/C][C]110.331830357143[/C][C]109.63[/C][C]0.701830357142856[/C][C]0.368169642857154[/C][/ROW]
[ROW][C]9[/C][C]110.72[/C][C]109.939032738095[/C][C]109.874166666667[/C][C]0.0648660714285813[/C][C]0.780967261904777[/C][/ROW]
[ROW][C]10[/C][C]109.85[/C][C]109.923258928571[/C][C]110.005[/C][C]-0.0817410714285724[/C][C]-0.073258928571434[/C][/ROW]
[ROW][C]11[/C][C]109.71[/C][C]109.906235119048[/C][C]110.121666666667[/C][C]-0.215431547619043[/C][C]-0.1962351190476[/C][/ROW]
[ROW][C]12[/C][C]110[/C][C]110.311354166667[/C][C]110.367083333333[/C][C]-0.0557291666666628[/C][C]-0.311354166666646[/C][/ROW]
[ROW][C]13[/C][C]110.87[/C][C]109.809806547619[/C][C]110.60125[/C][C]-0.791443452380953[/C][C]1.06019345238096[/C][/ROW]
[ROW][C]14[/C][C]111.16[/C][C]110.799925595238[/C][C]110.749583333333[/C][C]0.0503422619047586[/C][C]0.360074404761917[/C][/ROW]
[ROW][C]15[/C][C]110.63[/C][C]110.843199404762[/C][C]110.882083333333[/C][C]-0.038883928571434[/C][C]-0.213199404761895[/C][/ROW]
[ROW][C]16[/C][C]110.26[/C][C]111.065461309524[/C][C]111.03125[/C][C]0.0342113095238067[/C][C]-0.805461309523807[/C][/ROW]
[ROW][C]17[/C][C]110.79[/C][C]110.803735119048[/C][C]111.177916666667[/C][C]-0.374181547619051[/C][C]-0.0137351190476238[/C][/ROW]
[ROW][C]18[/C][C]111.75[/C][C]111.682366071429[/C][C]111.341666666667[/C][C]0.340699404761903[/C][C]0.0676339285714391[/C][/ROW]
[ROW][C]19[/C][C]111.75[/C][C]111.852544642857[/C][C]111.487083333333[/C][C]0.36546130952381[/C][C]-0.102544642857154[/C][/ROW]
[ROW][C]20[/C][C]112.31[/C][C]112.300580357143[/C][C]111.59875[/C][C]0.701830357142856[/C][C]0.00941964285715358[/C][/ROW]
[ROW][C]21[/C][C]112.29[/C][C]111.870699404762[/C][C]111.805833333333[/C][C]0.0648660714285813[/C][C]0.419300595238084[/C][/ROW]
[ROW][C]22[/C][C]111.86[/C][C]112.029092261905[/C][C]112.110833333333[/C][C]-0.0817410714285724[/C][C]-0.169092261904765[/C][/ROW]
[ROW][C]23[/C][C]111.22[/C][C]112.126651785714[/C][C]112.342083333333[/C][C]-0.215431547619043[/C][C]-0.906651785714274[/C][/ROW]
[ROW][C]24[/C][C]112.42[/C][C]112.4871875[/C][C]112.542916666667[/C][C]-0.0557291666666628[/C][C]-0.0671874999999886[/C][/ROW]
[ROW][C]25[/C][C]111.94[/C][C]112.060639880952[/C][C]112.852083333333[/C][C]-0.791443452380953[/C][C]-0.120639880952368[/C][/ROW]
[ROW][C]26[/C][C]112.77[/C][C]113.298675595238[/C][C]113.248333333333[/C][C]0.0503422619047586[/C][C]-0.528675595238099[/C][/ROW]
[ROW][C]27[/C][C]113.99[/C][C]113.659032738095[/C][C]113.697916666667[/C][C]-0.038883928571434[/C][C]0.330967261904789[/C][/ROW]
[ROW][C]28[/C][C]114.22[/C][C]114.220461309524[/C][C]114.18625[/C][C]0.0342113095238067[/C][C]-0.000461309523799969[/C][/ROW]
[ROW][C]29[/C][C]112.38[/C][C]114.474985119048[/C][C]114.849166666667[/C][C]-0.374181547619051[/C][C]-2.09498511904761[/C][/ROW]
[ROW][C]30[/C][C]114.98[/C][C]115.986116071429[/C][C]115.645416666667[/C][C]0.340699404761903[/C][C]-1.00611607142855[/C][/ROW]
[ROW][C]31[/C][C]115.94[/C][C]116.837961309524[/C][C]116.4725[/C][C]0.36546130952381[/C][C]-0.89796130952378[/C][/ROW]
[ROW][C]32[/C][C]117.63[/C][C]118.009747023810[/C][C]117.307916666667[/C][C]0.701830357142856[/C][C]-0.379747023809514[/C][/ROW]
[ROW][C]33[/C][C]117.76[/C][C]118.115699404762[/C][C]118.050833333333[/C][C]0.0648660714285813[/C][C]-0.355699404761893[/C][/ROW]
[ROW][C]34[/C][C]118.11[/C][C]118.633675595238[/C][C]118.715416666667[/C][C]-0.0817410714285724[/C][C]-0.523675595238075[/C][/ROW]
[ROW][C]35[/C][C]120.88[/C][C]119.347901785714[/C][C]119.563333333333[/C][C]-0.215431547619043[/C][C]1.53209821428572[/C][/ROW]
[ROW][C]36[/C][C]121.87[/C][C]120.4884375[/C][C]120.544166666667[/C][C]-0.0557291666666628[/C][C]1.3815625[/C][/ROW]
[ROW][C]37[/C][C]122.34[/C][C]120.653139880952[/C][C]121.444583333333[/C][C]-0.791443452380953[/C][C]1.68686011904764[/C][/ROW]
[ROW][C]38[/C][C]122.42[/C][C]122.333675595238[/C][C]122.283333333333[/C][C]0.0503422619047586[/C][C]0.0863244047618963[/C][/ROW]
[ROW][C]39[/C][C]122.17[/C][C]122.959449404762[/C][C]122.998333333333[/C][C]-0.038883928571434[/C][C]-0.78944940476191[/C][/ROW]
[ROW][C]40[/C][C]121.99[/C][C]123.661711309524[/C][C]123.6275[/C][C]0.0342113095238067[/C][C]-1.67171130952381[/C][/ROW]
[ROW][C]41[/C][C]124.96[/C][C]123.748735119048[/C][C]124.122916666667[/C][C]-0.374181547619051[/C][C]1.21126488095237[/C][/ROW]
[ROW][C]42[/C][C]125.94[/C][C]124.751116071429[/C][C]124.410416666667[/C][C]0.340699404761903[/C][C]1.18888392857141[/C][/ROW]
[ROW][C]43[/C][C]126.59[/C][C]124.930461309524[/C][C]124.565[/C][C]0.36546130952381[/C][C]1.65953869047618[/C][/ROW]
[ROW][C]44[/C][C]127.11[/C][C]125.385997023809[/C][C]124.684166666667[/C][C]0.701830357142856[/C][C]1.72400297619050[/C][/ROW]
[ROW][C]45[/C][C]125.44[/C][C]124.910699404762[/C][C]124.845833333333[/C][C]0.0648660714285813[/C][C]0.529300595238084[/C][/ROW]
[ROW][C]46[/C][C]125.53[/C][C]125.064092261905[/C][C]125.145833333333[/C][C]-0.0817410714285724[/C][C]0.46590773809524[/C][/ROW]
[ROW][C]47[/C][C]125.35[/C][C]125.130818452381[/C][C]125.34625[/C][C]-0.215431547619043[/C][C]0.21918154761903[/C][/ROW]
[ROW][C]48[/C][C]124.3[/C][C]125.228854166667[/C][C]125.284583333333[/C][C]-0.0557291666666628[/C][C]-0.928854166666667[/C][/ROW]
[ROW][C]49[/C][C]123.62[/C][C]124.381889880952[/C][C]125.173333333333[/C][C]-0.791443452380953[/C][C]-0.761889880952367[/C][/ROW]
[ROW][C]50[/C][C]124[/C][C]125.124925595238[/C][C]125.074583333333[/C][C]0.0503422619047586[/C][C]-1.12492559523808[/C][/ROW]
[ROW][C]51[/C][C]124.47[/C][C]124.984866071429[/C][C]125.02375[/C][C]-0.038883928571434[/C][C]-0.514866071428571[/C][/ROW]
[ROW][C]52[/C][C]126.89[/C][C]125.042961309524[/C][C]125.00875[/C][C]0.0342113095238067[/C][C]1.84703869047618[/C][/ROW]
[ROW][C]53[/C][C]124.87[/C][C]124.561651785714[/C][C]124.935833333333[/C][C]-0.374181547619051[/C][C]0.308348214285729[/C][/ROW]
[ROW][C]54[/C][C]124.55[/C][C]125.221116071429[/C][C]124.880416666667[/C][C]0.340699404761903[/C][C]-0.671116071428557[/C][/ROW]
[ROW][C]55[/C][C]125.31[/C][C]125.307961309524[/C][C]124.9425[/C][C]0.36546130952381[/C][C]0.00203869047619776[/C][/ROW]
[ROW][C]56[/C][C]126.02[/C][C]125.772247023810[/C][C]125.070416666667[/C][C]0.701830357142856[/C][C]0.247752976190483[/C][/ROW]
[ROW][C]57[/C][C]125.31[/C][C]125.325699404762[/C][C]125.260833333333[/C][C]0.0648660714285813[/C][C]-0.0156994047619037[/C][/ROW]
[ROW][C]58[/C][C]125.3[/C][C]125.314925595238[/C][C]125.396666666667[/C][C]-0.0817410714285724[/C][C]-0.0149255952380827[/C][/ROW]
[ROW][C]59[/C][C]123.83[/C][C]125.249568452381[/C][C]125.465[/C][C]-0.215431547619043[/C][C]-1.41956845238093[/C][/ROW]
[ROW][C]60[/C][C]124.49[/C][C]125.553854166667[/C][C]125.609583333333[/C][C]-0.0557291666666628[/C][C]-1.06385416666664[/C][/ROW]
[ROW][C]61[/C][C]124.92[/C][C]125.015223214286[/C][C]125.806666666667[/C][C]-0.791443452380953[/C][C]-0.0952232142856815[/C][/ROW]
[ROW][C]62[/C][C]125.77[/C][C]125.990342261905[/C][C]125.94[/C][C]0.0503422619047586[/C][C]-0.220342261904747[/C][/ROW]
[ROW][C]63[/C][C]127.27[/C][C]126.002366071429[/C][C]126.04125[/C][C]-0.038883928571434[/C][C]1.26763392857144[/C][/ROW]
[ROW][C]64[/C][C]127.35[/C][C]126.252961309524[/C][C]126.21875[/C][C]0.0342113095238067[/C][C]1.09703869047618[/C][/ROW]
[ROW][C]65[/C][C]126.05[/C][C]126.122068452381[/C][C]126.49625[/C][C]-0.374181547619051[/C][C]-0.072068452380961[/C][/ROW]
[ROW][C]66[/C][C]126.84[/C][C]127.155282738095[/C][C]126.814583333333[/C][C]0.340699404761903[/C][C]-0.315282738095220[/C][/ROW]
[ROW][C]67[/C][C]127.75[/C][C]127.348377976190[/C][C]126.982916666667[/C][C]0.36546130952381[/C][C]0.401622023809537[/C][/ROW]
[ROW][C]68[/C][C]126.78[/C][C]127.802663690476[/C][C]127.100833333333[/C][C]0.701830357142856[/C][C]-1.02266369047616[/C][/ROW]
[ROW][C]69[/C][C]126.98[/C][C]127.293199404762[/C][C]127.228333333333[/C][C]0.0648660714285813[/C][C]-0.313199404761875[/C][/ROW]
[ROW][C]70[/C][C]127.89[/C][C]127.184508928571[/C][C]127.26625[/C][C]-0.0817410714285724[/C][C]0.705491071428582[/C][/ROW]
[ROW][C]71[/C][C]127.9[/C][C]127.094568452381[/C][C]127.31[/C][C]-0.215431547619043[/C][C]0.805431547619065[/C][/ROW]
[ROW][C]72[/C][C]128.06[/C][C]127.329270833333[/C][C]127.385[/C][C]-0.0557291666666628[/C][C]0.730729166666677[/C][/ROW]
[ROW][C]73[/C][C]125.39[/C][C]126.646056547619[/C][C]127.4375[/C][C]-0.791443452380953[/C][C]-1.25605654761904[/C][/ROW]
[ROW][C]74[/C][C]128.13[/C][C]127.592008928571[/C][C]127.541666666667[/C][C]0.0503422619047586[/C][C]0.537991071428593[/C][/ROW]
[ROW][C]75[/C][C]127.97[/C][C]127.659866071429[/C][C]127.69875[/C][C]-0.038883928571434[/C][C]0.310133928571446[/C][/ROW]
[ROW][C]76[/C][C]127.56[/C][C]127.859211309524[/C][C]127.825[/C][C]0.0342113095238067[/C][C]-0.299211309523798[/C][/ROW]
[ROW][C]77[/C][C]126.89[/C][C]127.597901785714[/C][C]127.972083333333[/C][C]-0.374181547619051[/C][C]-0.707901785714284[/C][/ROW]
[ROW][C]78[/C][C]127.8[/C][C]128.516949404762[/C][C]128.17625[/C][C]0.340699404761903[/C][C]-0.71694940476192[/C][/ROW]
[ROW][C]79[/C][C]128.05[/C][C]128.843377976190[/C][C]128.477916666667[/C][C]0.36546130952381[/C][C]-0.793377976190456[/C][/ROW]
[ROW][C]80[/C][C]128.98[/C][C]129.538080357143[/C][C]128.83625[/C][C]0.701830357142856[/C][C]-0.55808035714287[/C][/ROW]
[ROW][C]81[/C][C]128.55[/C][C]129.206116071429[/C][C]129.14125[/C][C]0.0648660714285813[/C][C]-0.656116071428556[/C][/ROW]
[ROW][C]82[/C][C]129.35[/C][C]129.351592261905[/C][C]129.433333333333[/C][C]-0.0817410714285724[/C][C]-0.00159226190476147[/C][/ROW]
[ROW][C]83[/C][C]129.97[/C][C]129.615401785714[/C][C]129.830833333333[/C][C]-0.215431547619043[/C][C]0.354598214285716[/C][/ROW]
[ROW][C]84[/C][C]130.89[/C][C]130.2421875[/C][C]130.297916666667[/C][C]-0.0557291666666628[/C][C]0.647812499999986[/C][/ROW]
[ROW][C]85[/C][C]129.8[/C][C]129.924389880952[/C][C]130.715833333333[/C][C]-0.791443452380953[/C][C]-0.124389880952378[/C][/ROW]
[ROW][C]86[/C][C]132.32[/C][C]131.041592261905[/C][C]130.99125[/C][C]0.0503422619047586[/C][C]1.27840773809527[/C][/ROW]
[ROW][C]87[/C][C]131.1[/C][C]131.102366071429[/C][C]131.14125[/C][C]-0.038883928571434[/C][C]-0.00236607142855405[/C][/ROW]
[ROW][C]88[/C][C]131.44[/C][C]131.218377976190[/C][C]131.184166666667[/C][C]0.0342113095238067[/C][C]0.221622023809545[/C][/ROW]
[ROW][C]89[/C][C]132.55[/C][C]130.792068452381[/C][C]131.16625[/C][C]-0.374181547619051[/C][C]1.75793154761908[/C][/ROW]
[ROW][C]90[/C][C]133.35[/C][C]131.508199404762[/C][C]131.1675[/C][C]0.340699404761903[/C][C]1.84180059523811[/C][/ROW]
[ROW][C]91[/C][C]132.53[/C][C]NA[/C][C]NA[/C][C]0.36546130952381[/C][C]NA[/C][/ROW]
[ROW][C]92[/C][C]131.11[/C][C]NA[/C][C]NA[/C][C]0.701830357142856[/C][C]NA[/C][/ROW]
[ROW][C]93[/C][C]130.02[/C][C]NA[/C][C]NA[/C][C]0.0648660714285813[/C][C]NA[/C][/ROW]
[ROW][C]94[/C][C]128.91[/C][C]NA[/C][C]NA[/C][C]-0.0817410714285724[/C][C]NA[/C][/ROW]
[ROW][C]95[/C][C]129.98[/C][C]NA[/C][C]NA[/C][C]-0.215431547619043[/C][C]NA[/C][/ROW]
[ROW][C]96[/C][C]130.91[/C][C]NA[/C][C]NA[/C][C]-0.0557291666666628[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42475&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42475&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	106.61	NA	NA	-0.791443452380953	NA
2	107.86	NA	NA	0.0503422619047586	NA
3	108.07	NA	NA	-0.038883928571434	NA
4	109.68	NA	NA	0.0342113095238067	NA
5	108.57	NA	NA	-0.374181547619051	NA
6	108.08	NA	NA	0.340699404761903	NA
7	109.8	109.680461309524	109.315	0.36546130952381	0.119538690476205
8	110.7	110.331830357143	109.63	0.701830357142856	0.368169642857154
9	110.72	109.939032738095	109.874166666667	0.0648660714285813	0.780967261904777
10	109.85	109.923258928571	110.005	-0.0817410714285724	-0.073258928571434
11	109.71	109.906235119048	110.121666666667	-0.215431547619043	-0.1962351190476
12	110	110.311354166667	110.367083333333	-0.0557291666666628	-0.311354166666646
13	110.87	109.809806547619	110.60125	-0.791443452380953	1.06019345238096
14	111.16	110.799925595238	110.749583333333	0.0503422619047586	0.360074404761917
15	110.63	110.843199404762	110.882083333333	-0.038883928571434	-0.213199404761895
16	110.26	111.065461309524	111.03125	0.0342113095238067	-0.805461309523807
17	110.79	110.803735119048	111.177916666667	-0.374181547619051	-0.0137351190476238
18	111.75	111.682366071429	111.341666666667	0.340699404761903	0.0676339285714391
19	111.75	111.852544642857	111.487083333333	0.36546130952381	-0.102544642857154
20	112.31	112.300580357143	111.59875	0.701830357142856	0.00941964285715358
21	112.29	111.870699404762	111.805833333333	0.0648660714285813	0.419300595238084
22	111.86	112.029092261905	112.110833333333	-0.0817410714285724	-0.169092261904765
23	111.22	112.126651785714	112.342083333333	-0.215431547619043	-0.906651785714274
24	112.42	112.4871875	112.542916666667	-0.0557291666666628	-0.0671874999999886
25	111.94	112.060639880952	112.852083333333	-0.791443452380953	-0.120639880952368
26	112.77	113.298675595238	113.248333333333	0.0503422619047586	-0.528675595238099
27	113.99	113.659032738095	113.697916666667	-0.038883928571434	0.330967261904789
28	114.22	114.220461309524	114.18625	0.0342113095238067	-0.000461309523799969
29	112.38	114.474985119048	114.849166666667	-0.374181547619051	-2.09498511904761
30	114.98	115.986116071429	115.645416666667	0.340699404761903	-1.00611607142855
31	115.94	116.837961309524	116.4725	0.36546130952381	-0.89796130952378
32	117.63	118.009747023810	117.307916666667	0.701830357142856	-0.379747023809514
33	117.76	118.115699404762	118.050833333333	0.0648660714285813	-0.355699404761893
34	118.11	118.633675595238	118.715416666667	-0.0817410714285724	-0.523675595238075
35	120.88	119.347901785714	119.563333333333	-0.215431547619043	1.53209821428572
36	121.87	120.4884375	120.544166666667	-0.0557291666666628	1.3815625
37	122.34	120.653139880952	121.444583333333	-0.791443452380953	1.68686011904764
38	122.42	122.333675595238	122.283333333333	0.0503422619047586	0.0863244047618963
39	122.17	122.959449404762	122.998333333333	-0.038883928571434	-0.78944940476191
40	121.99	123.661711309524	123.6275	0.0342113095238067	-1.67171130952381
41	124.96	123.748735119048	124.122916666667	-0.374181547619051	1.21126488095237
42	125.94	124.751116071429	124.410416666667	0.340699404761903	1.18888392857141
43	126.59	124.930461309524	124.565	0.36546130952381	1.65953869047618
44	127.11	125.385997023809	124.684166666667	0.701830357142856	1.72400297619050
45	125.44	124.910699404762	124.845833333333	0.0648660714285813	0.529300595238084
46	125.53	125.064092261905	125.145833333333	-0.0817410714285724	0.46590773809524
47	125.35	125.130818452381	125.34625	-0.215431547619043	0.21918154761903
48	124.3	125.228854166667	125.284583333333	-0.0557291666666628	-0.928854166666667
49	123.62	124.381889880952	125.173333333333	-0.791443452380953	-0.761889880952367
50	124	125.124925595238	125.074583333333	0.0503422619047586	-1.12492559523808
51	124.47	124.984866071429	125.02375	-0.038883928571434	-0.514866071428571
52	126.89	125.042961309524	125.00875	0.0342113095238067	1.84703869047618
53	124.87	124.561651785714	124.935833333333	-0.374181547619051	0.308348214285729
54	124.55	125.221116071429	124.880416666667	0.340699404761903	-0.671116071428557
55	125.31	125.307961309524	124.9425	0.36546130952381	0.00203869047619776
56	126.02	125.772247023810	125.070416666667	0.701830357142856	0.247752976190483
57	125.31	125.325699404762	125.260833333333	0.0648660714285813	-0.0156994047619037
58	125.3	125.314925595238	125.396666666667	-0.0817410714285724	-0.0149255952380827
59	123.83	125.249568452381	125.465	-0.215431547619043	-1.41956845238093
60	124.49	125.553854166667	125.609583333333	-0.0557291666666628	-1.06385416666664
61	124.92	125.015223214286	125.806666666667	-0.791443452380953	-0.0952232142856815
62	125.77	125.990342261905	125.94	0.0503422619047586	-0.220342261904747
63	127.27	126.002366071429	126.04125	-0.038883928571434	1.26763392857144
64	127.35	126.252961309524	126.21875	0.0342113095238067	1.09703869047618
65	126.05	126.122068452381	126.49625	-0.374181547619051	-0.072068452380961
66	126.84	127.155282738095	126.814583333333	0.340699404761903	-0.315282738095220
67	127.75	127.348377976190	126.982916666667	0.36546130952381	0.401622023809537
68	126.78	127.802663690476	127.100833333333	0.701830357142856	-1.02266369047616
69	126.98	127.293199404762	127.228333333333	0.0648660714285813	-0.313199404761875
70	127.89	127.184508928571	127.26625	-0.0817410714285724	0.705491071428582
71	127.9	127.094568452381	127.31	-0.215431547619043	0.805431547619065
72	128.06	127.329270833333	127.385	-0.0557291666666628	0.730729166666677
73	125.39	126.646056547619	127.4375	-0.791443452380953	-1.25605654761904
74	128.13	127.592008928571	127.541666666667	0.0503422619047586	0.537991071428593
75	127.97	127.659866071429	127.69875	-0.038883928571434	0.310133928571446
76	127.56	127.859211309524	127.825	0.0342113095238067	-0.299211309523798
77	126.89	127.597901785714	127.972083333333	-0.374181547619051	-0.707901785714284
78	127.8	128.516949404762	128.17625	0.340699404761903	-0.71694940476192
79	128.05	128.843377976190	128.477916666667	0.36546130952381	-0.793377976190456
80	128.98	129.538080357143	128.83625	0.701830357142856	-0.55808035714287
81	128.55	129.206116071429	129.14125	0.0648660714285813	-0.656116071428556
82	129.35	129.351592261905	129.433333333333	-0.0817410714285724	-0.00159226190476147
83	129.97	129.615401785714	129.830833333333	-0.215431547619043	0.354598214285716
84	130.89	130.2421875	130.297916666667	-0.0557291666666628	0.647812499999986
85	129.8	129.924389880952	130.715833333333	-0.791443452380953	-0.124389880952378
86	132.32	131.041592261905	130.99125	0.0503422619047586	1.27840773809527
87	131.1	131.102366071429	131.14125	-0.038883928571434	-0.00236607142855405
88	131.44	131.218377976190	131.184166666667	0.0342113095238067	0.221622023809545
89	132.55	130.792068452381	131.16625	-0.374181547619051	1.75793154761908
90	133.35	131.508199404762	131.1675	0.340699404761903	1.84180059523811
91	132.53	NA	NA	0.36546130952381	NA
92	131.11	NA	NA	0.701830357142856	NA
93	130.02	NA	NA	0.0648660714285813	NA
94	128.91	NA	NA	-0.0817410714285724	NA
95	129.98	NA	NA	-0.215431547619043	NA
96	130.91	NA	NA	-0.0557291666666628	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