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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Thu, 02 May 2013 03:56:49 -0400

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/May/02/t1367481470i5o8h0egj81kn0d.htm/, Retrieved Fri, 03 May 2024 15:27:57 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=208655, Retrieved Fri, 03 May 2024 15:27:57 +0000

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Original text written by user:

decompositie auditief gem farma consumptieprijzen

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decompositie auditief gem farma consumptieprijzen

Estimated Impact

119

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

-       [Classical Decomposition] [] [2013-05-02 07:56:49] [0941a6a4eb2aa1312aa94e558e86fae5] [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	4 seconds
R Server	'Gwilym Jenkins' @ jenkins.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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=208655&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=208655&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=208655&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	4 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	105.71	NA	NA	0.389701388888884	NA
2	105.82	NA	NA	0.489284722222212	NA
3	105.82	NA	NA	0.166451388888891	NA
4	105.72	NA	NA	0.197784722222224	NA
5	105.76	NA	NA	-0.250965277777777	NA
6	105.8	NA	NA	-0.117881944444439	NA
7	105.09	105.063618055556	105.443333333333	-0.379715277777776	0.0263819444444522
8	105.06	105.156784722222	105.394166666667	-0.237381944444439	-0.0967847222222105
9	105.16	105.117451388889	105.3275	-0.210048611111119	0.0425486111111297
10	105.2	105.102951388889	105.238333333333	-0.135381944444438	0.09704861111112
11	105.21	105.105034722222	105.11875	-0.0137152777777793	0.104965277777794
12	105.23	105.090618055556	104.98875	0.101868055555554	0.139381944444466
13	105.19	105.292618055556	104.902916666667	0.389701388888884	-0.102618055555538
14	105.16	105.342201388889	104.852916666667	0.489284722222212	-0.18220138888887
15	104.88	104.969368055556	104.802916666667	0.166451388888891	-0.0893680555555392
16	104.52	104.949868055556	104.752083333333	0.197784722222224	-0.429868055555559
17	104.09	104.449868055556	104.700833333333	-0.250965277777777	-0.359868055555538
18	104.35	104.535868055556	104.65375	-0.117881944444439	-0.185868055555559
19	104.48	104.230284722222	104.61	-0.379715277777776	0.24971527777781
20	104.47	104.331784722222	104.569166666667	-0.237381944444439	0.138215277777803
21	104.55	104.342451388889	104.5525	-0.210048611111119	0.207548611111122
22	104.59	104.440868055556	104.57625	-0.135381944444438	0.149131944444449
23	104.59	104.570034722222	104.58375	-0.0137152777777793	0.0199652777777857
24	104.72	104.648534722222	104.546666666667	0.101868055555554	0.07146527777779
25	104.65	104.885118055556	104.495416666667	0.389701388888884	-0.235118055555546
26	104.72	104.948034722222	104.45875	0.489284722222212	-0.228034722222219
27	104.92	104.586034722222	104.419583333333	0.166451388888891	0.333965277777793
28	105.05	104.553201388889	104.355416666667	0.197784722222224	0.496798611111132
29	103.74	104.047784722222	104.29875	-0.250965277777777	-0.307784722222209
30	103.81	104.127951388889	104.245833333333	-0.117881944444439	-0.317951388888886
31	103.79	103.847784722222	104.2275	-0.379715277777776	-0.057784722222209
32	104.28	104.011368055556	104.24875	-0.237381944444439	0.268631944444436
33	103.8	104.004951388889	104.215	-0.210048611111119	-0.204951388888887
34	103.8	103.998784722222	104.134166666667	-0.135381944444438	-0.198784722222229
35	104.02	104.061701388889	104.075416666667	-0.0137152777777793	-0.0417013888889102
36	104.02	104.130201388889	104.028333333333	0.101868055555554	-0.11020138888891
37	104.91	104.314701388889	103.925	0.389701388888884	0.595298611111104
38	104.97	104.234284722222	103.745	0.489284722222212	0.735715277777771
39	103.86	103.731034722222	103.564583333333	0.166451388888891	0.12896527777778
40	104.17	103.599868055556	103.402083333333	0.197784722222224	0.570131944444441
41	103.21	102.974451388889	103.225416666667	-0.250965277777777	0.235548611111113
42	103.21	102.921701388889	103.039583333333	-0.117881944444439	0.288298611111102
43	101.91	102.449451388889	102.829166666667	-0.379715277777776	-0.539451388888907
44	101.84	102.358034722222	102.595416666667	-0.237381944444439	-0.518034722222225
45	101.91	102.199951388889	102.41	-0.210048611111119	-0.289951388888881
46	101.79	102.113784722222	102.249166666667	-0.135381944444438	-0.323784722222214
47	101.79	102.095451388889	102.109166666667	-0.0137152777777793	-0.305451388888869
48	101.79	102.113951388889	102.012083333333	0.101868055555554	-0.323951388888858
49	102.09	102.347618055556	101.957916666667	0.389701388888884	-0.25761805555554
50	102.18	102.439701388889	101.950416666667	0.489284722222212	-0.259701388888871
51	102.2	102.110201388889	101.94375	0.166451388888891	0.0897986111111067
52	101.97	102.138618055556	101.940833333333	0.197784722222224	-0.168618055555541
53	102.05	101.693201388889	101.944166666667	-0.250965277777777	0.356798611111117
54	102.04	101.831701388889	101.949583333333	-0.117881944444439	0.208298611111132
55	101.78	101.565701388889	101.945416666667	-0.379715277777776	0.214298611111118
56	101.79	101.688868055556	101.92625	-0.237381944444439	0.101131944444447
57	101.8	101.662034722222	101.872083333333	-0.210048611111119	0.137965277777781
58	101.83	101.660451388889	101.795833333333	-0.135381944444438	0.169548611111111
59	101.83	101.714618055556	101.728333333333	-0.0137152777777793	0.115381944444451
60	101.88	101.763534722222	101.661666666667	0.101868055555554	0.116465277777763
61	101.9	102.006784722222	101.617083333333	0.389701388888884	-0.106784722222201
62	101.91	102.082618055556	101.593333333333	0.489284722222212	-0.172618055555532
63	101.17	101.740201388889	101.57375	0.166451388888891	-0.570201388888862
64	101.17	101.745284722222	101.5475	0.197784722222224	-0.575284722222207
65	101.23	101.261534722222	101.5125	-0.250965277777777	-0.0315347222222044
66	101.26	101.359618055556	101.4775	-0.117881944444439	-0.0996180555555526
67	101.49	NA	NA	-0.379715277777776	NA
68	101.51	NA	NA	-0.237381944444439	NA
69	101.61	NA	NA	-0.210048611111119	NA
70	101.39	NA	NA	-0.135381944444438	NA
71	101.43	NA	NA	-0.0137152777777793	NA
72	101.44	NA	NA	0.101868055555554	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 105.71 & NA & NA & 0.389701388888884 & NA \tabularnewline
2 & 105.82 & NA & NA & 0.489284722222212 & NA \tabularnewline
3 & 105.82 & NA & NA & 0.166451388888891 & NA \tabularnewline
4 & 105.72 & NA & NA & 0.197784722222224 & NA \tabularnewline
5 & 105.76 & NA & NA & -0.250965277777777 & NA \tabularnewline
6 & 105.8 & NA & NA & -0.117881944444439 & NA \tabularnewline
7 & 105.09 & 105.063618055556 & 105.443333333333 & -0.379715277777776 & 0.0263819444444522 \tabularnewline
8 & 105.06 & 105.156784722222 & 105.394166666667 & -0.237381944444439 & -0.0967847222222105 \tabularnewline
9 & 105.16 & 105.117451388889 & 105.3275 & -0.210048611111119 & 0.0425486111111297 \tabularnewline
10 & 105.2 & 105.102951388889 & 105.238333333333 & -0.135381944444438 & 0.09704861111112 \tabularnewline
11 & 105.21 & 105.105034722222 & 105.11875 & -0.0137152777777793 & 0.104965277777794 \tabularnewline
12 & 105.23 & 105.090618055556 & 104.98875 & 0.101868055555554 & 0.139381944444466 \tabularnewline
13 & 105.19 & 105.292618055556 & 104.902916666667 & 0.389701388888884 & -0.102618055555538 \tabularnewline
14 & 105.16 & 105.342201388889 & 104.852916666667 & 0.489284722222212 & -0.18220138888887 \tabularnewline
15 & 104.88 & 104.969368055556 & 104.802916666667 & 0.166451388888891 & -0.0893680555555392 \tabularnewline
16 & 104.52 & 104.949868055556 & 104.752083333333 & 0.197784722222224 & -0.429868055555559 \tabularnewline
17 & 104.09 & 104.449868055556 & 104.700833333333 & -0.250965277777777 & -0.359868055555538 \tabularnewline
18 & 104.35 & 104.535868055556 & 104.65375 & -0.117881944444439 & -0.185868055555559 \tabularnewline
19 & 104.48 & 104.230284722222 & 104.61 & -0.379715277777776 & 0.24971527777781 \tabularnewline
20 & 104.47 & 104.331784722222 & 104.569166666667 & -0.237381944444439 & 0.138215277777803 \tabularnewline
21 & 104.55 & 104.342451388889 & 104.5525 & -0.210048611111119 & 0.207548611111122 \tabularnewline
22 & 104.59 & 104.440868055556 & 104.57625 & -0.135381944444438 & 0.149131944444449 \tabularnewline
23 & 104.59 & 104.570034722222 & 104.58375 & -0.0137152777777793 & 0.0199652777777857 \tabularnewline
24 & 104.72 & 104.648534722222 & 104.546666666667 & 0.101868055555554 & 0.07146527777779 \tabularnewline
25 & 104.65 & 104.885118055556 & 104.495416666667 & 0.389701388888884 & -0.235118055555546 \tabularnewline
26 & 104.72 & 104.948034722222 & 104.45875 & 0.489284722222212 & -0.228034722222219 \tabularnewline
27 & 104.92 & 104.586034722222 & 104.419583333333 & 0.166451388888891 & 0.333965277777793 \tabularnewline
28 & 105.05 & 104.553201388889 & 104.355416666667 & 0.197784722222224 & 0.496798611111132 \tabularnewline
29 & 103.74 & 104.047784722222 & 104.29875 & -0.250965277777777 & -0.307784722222209 \tabularnewline
30 & 103.81 & 104.127951388889 & 104.245833333333 & -0.117881944444439 & -0.317951388888886 \tabularnewline
31 & 103.79 & 103.847784722222 & 104.2275 & -0.379715277777776 & -0.057784722222209 \tabularnewline
32 & 104.28 & 104.011368055556 & 104.24875 & -0.237381944444439 & 0.268631944444436 \tabularnewline
33 & 103.8 & 104.004951388889 & 104.215 & -0.210048611111119 & -0.204951388888887 \tabularnewline
34 & 103.8 & 103.998784722222 & 104.134166666667 & -0.135381944444438 & -0.198784722222229 \tabularnewline
35 & 104.02 & 104.061701388889 & 104.075416666667 & -0.0137152777777793 & -0.0417013888889102 \tabularnewline
36 & 104.02 & 104.130201388889 & 104.028333333333 & 0.101868055555554 & -0.11020138888891 \tabularnewline
37 & 104.91 & 104.314701388889 & 103.925 & 0.389701388888884 & 0.595298611111104 \tabularnewline
38 & 104.97 & 104.234284722222 & 103.745 & 0.489284722222212 & 0.735715277777771 \tabularnewline
39 & 103.86 & 103.731034722222 & 103.564583333333 & 0.166451388888891 & 0.12896527777778 \tabularnewline
40 & 104.17 & 103.599868055556 & 103.402083333333 & 0.197784722222224 & 0.570131944444441 \tabularnewline
41 & 103.21 & 102.974451388889 & 103.225416666667 & -0.250965277777777 & 0.235548611111113 \tabularnewline
42 & 103.21 & 102.921701388889 & 103.039583333333 & -0.117881944444439 & 0.288298611111102 \tabularnewline
43 & 101.91 & 102.449451388889 & 102.829166666667 & -0.379715277777776 & -0.539451388888907 \tabularnewline
44 & 101.84 & 102.358034722222 & 102.595416666667 & -0.237381944444439 & -0.518034722222225 \tabularnewline
45 & 101.91 & 102.199951388889 & 102.41 & -0.210048611111119 & -0.289951388888881 \tabularnewline
46 & 101.79 & 102.113784722222 & 102.249166666667 & -0.135381944444438 & -0.323784722222214 \tabularnewline
47 & 101.79 & 102.095451388889 & 102.109166666667 & -0.0137152777777793 & -0.305451388888869 \tabularnewline
48 & 101.79 & 102.113951388889 & 102.012083333333 & 0.101868055555554 & -0.323951388888858 \tabularnewline
49 & 102.09 & 102.347618055556 & 101.957916666667 & 0.389701388888884 & -0.25761805555554 \tabularnewline
50 & 102.18 & 102.439701388889 & 101.950416666667 & 0.489284722222212 & -0.259701388888871 \tabularnewline
51 & 102.2 & 102.110201388889 & 101.94375 & 0.166451388888891 & 0.0897986111111067 \tabularnewline
52 & 101.97 & 102.138618055556 & 101.940833333333 & 0.197784722222224 & -0.168618055555541 \tabularnewline
53 & 102.05 & 101.693201388889 & 101.944166666667 & -0.250965277777777 & 0.356798611111117 \tabularnewline
54 & 102.04 & 101.831701388889 & 101.949583333333 & -0.117881944444439 & 0.208298611111132 \tabularnewline
55 & 101.78 & 101.565701388889 & 101.945416666667 & -0.379715277777776 & 0.214298611111118 \tabularnewline
56 & 101.79 & 101.688868055556 & 101.92625 & -0.237381944444439 & 0.101131944444447 \tabularnewline
57 & 101.8 & 101.662034722222 & 101.872083333333 & -0.210048611111119 & 0.137965277777781 \tabularnewline
58 & 101.83 & 101.660451388889 & 101.795833333333 & -0.135381944444438 & 0.169548611111111 \tabularnewline
59 & 101.83 & 101.714618055556 & 101.728333333333 & -0.0137152777777793 & 0.115381944444451 \tabularnewline
60 & 101.88 & 101.763534722222 & 101.661666666667 & 0.101868055555554 & 0.116465277777763 \tabularnewline
61 & 101.9 & 102.006784722222 & 101.617083333333 & 0.389701388888884 & -0.106784722222201 \tabularnewline
62 & 101.91 & 102.082618055556 & 101.593333333333 & 0.489284722222212 & -0.172618055555532 \tabularnewline
63 & 101.17 & 101.740201388889 & 101.57375 & 0.166451388888891 & -0.570201388888862 \tabularnewline
64 & 101.17 & 101.745284722222 & 101.5475 & 0.197784722222224 & -0.575284722222207 \tabularnewline
65 & 101.23 & 101.261534722222 & 101.5125 & -0.250965277777777 & -0.0315347222222044 \tabularnewline
66 & 101.26 & 101.359618055556 & 101.4775 & -0.117881944444439 & -0.0996180555555526 \tabularnewline
67 & 101.49 & NA & NA & -0.379715277777776 & NA \tabularnewline
68 & 101.51 & NA & NA & -0.237381944444439 & NA \tabularnewline
69 & 101.61 & NA & NA & -0.210048611111119 & NA \tabularnewline
70 & 101.39 & NA & NA & -0.135381944444438 & NA \tabularnewline
71 & 101.43 & NA & NA & -0.0137152777777793 & NA \tabularnewline
72 & 101.44 & NA & NA & 0.101868055555554 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=208655&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]105.71[/C][C]NA[/C][C]NA[/C][C]0.389701388888884[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]105.82[/C][C]NA[/C][C]NA[/C][C]0.489284722222212[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]105.82[/C][C]NA[/C][C]NA[/C][C]0.166451388888891[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]105.72[/C][C]NA[/C][C]NA[/C][C]0.197784722222224[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]105.76[/C][C]NA[/C][C]NA[/C][C]-0.250965277777777[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]105.8[/C][C]NA[/C][C]NA[/C][C]-0.117881944444439[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]105.09[/C][C]105.063618055556[/C][C]105.443333333333[/C][C]-0.379715277777776[/C][C]0.0263819444444522[/C][/ROW]
[ROW][C]8[/C][C]105.06[/C][C]105.156784722222[/C][C]105.394166666667[/C][C]-0.237381944444439[/C][C]-0.0967847222222105[/C][/ROW]
[ROW][C]9[/C][C]105.16[/C][C]105.117451388889[/C][C]105.3275[/C][C]-0.210048611111119[/C][C]0.0425486111111297[/C][/ROW]
[ROW][C]10[/C][C]105.2[/C][C]105.102951388889[/C][C]105.238333333333[/C][C]-0.135381944444438[/C][C]0.09704861111112[/C][/ROW]
[ROW][C]11[/C][C]105.21[/C][C]105.105034722222[/C][C]105.11875[/C][C]-0.0137152777777793[/C][C]0.104965277777794[/C][/ROW]
[ROW][C]12[/C][C]105.23[/C][C]105.090618055556[/C][C]104.98875[/C][C]0.101868055555554[/C][C]0.139381944444466[/C][/ROW]
[ROW][C]13[/C][C]105.19[/C][C]105.292618055556[/C][C]104.902916666667[/C][C]0.389701388888884[/C][C]-0.102618055555538[/C][/ROW]
[ROW][C]14[/C][C]105.16[/C][C]105.342201388889[/C][C]104.852916666667[/C][C]0.489284722222212[/C][C]-0.18220138888887[/C][/ROW]
[ROW][C]15[/C][C]104.88[/C][C]104.969368055556[/C][C]104.802916666667[/C][C]0.166451388888891[/C][C]-0.0893680555555392[/C][/ROW]
[ROW][C]16[/C][C]104.52[/C][C]104.949868055556[/C][C]104.752083333333[/C][C]0.197784722222224[/C][C]-0.429868055555559[/C][/ROW]
[ROW][C]17[/C][C]104.09[/C][C]104.449868055556[/C][C]104.700833333333[/C][C]-0.250965277777777[/C][C]-0.359868055555538[/C][/ROW]
[ROW][C]18[/C][C]104.35[/C][C]104.535868055556[/C][C]104.65375[/C][C]-0.117881944444439[/C][C]-0.185868055555559[/C][/ROW]
[ROW][C]19[/C][C]104.48[/C][C]104.230284722222[/C][C]104.61[/C][C]-0.379715277777776[/C][C]0.24971527777781[/C][/ROW]
[ROW][C]20[/C][C]104.47[/C][C]104.331784722222[/C][C]104.569166666667[/C][C]-0.237381944444439[/C][C]0.138215277777803[/C][/ROW]
[ROW][C]21[/C][C]104.55[/C][C]104.342451388889[/C][C]104.5525[/C][C]-0.210048611111119[/C][C]0.207548611111122[/C][/ROW]
[ROW][C]22[/C][C]104.59[/C][C]104.440868055556[/C][C]104.57625[/C][C]-0.135381944444438[/C][C]0.149131944444449[/C][/ROW]
[ROW][C]23[/C][C]104.59[/C][C]104.570034722222[/C][C]104.58375[/C][C]-0.0137152777777793[/C][C]0.0199652777777857[/C][/ROW]
[ROW][C]24[/C][C]104.72[/C][C]104.648534722222[/C][C]104.546666666667[/C][C]0.101868055555554[/C][C]0.07146527777779[/C][/ROW]
[ROW][C]25[/C][C]104.65[/C][C]104.885118055556[/C][C]104.495416666667[/C][C]0.389701388888884[/C][C]-0.235118055555546[/C][/ROW]
[ROW][C]26[/C][C]104.72[/C][C]104.948034722222[/C][C]104.45875[/C][C]0.489284722222212[/C][C]-0.228034722222219[/C][/ROW]
[ROW][C]27[/C][C]104.92[/C][C]104.586034722222[/C][C]104.419583333333[/C][C]0.166451388888891[/C][C]0.333965277777793[/C][/ROW]
[ROW][C]28[/C][C]105.05[/C][C]104.553201388889[/C][C]104.355416666667[/C][C]0.197784722222224[/C][C]0.496798611111132[/C][/ROW]
[ROW][C]29[/C][C]103.74[/C][C]104.047784722222[/C][C]104.29875[/C][C]-0.250965277777777[/C][C]-0.307784722222209[/C][/ROW]
[ROW][C]30[/C][C]103.81[/C][C]104.127951388889[/C][C]104.245833333333[/C][C]-0.117881944444439[/C][C]-0.317951388888886[/C][/ROW]
[ROW][C]31[/C][C]103.79[/C][C]103.847784722222[/C][C]104.2275[/C][C]-0.379715277777776[/C][C]-0.057784722222209[/C][/ROW]
[ROW][C]32[/C][C]104.28[/C][C]104.011368055556[/C][C]104.24875[/C][C]-0.237381944444439[/C][C]0.268631944444436[/C][/ROW]
[ROW][C]33[/C][C]103.8[/C][C]104.004951388889[/C][C]104.215[/C][C]-0.210048611111119[/C][C]-0.204951388888887[/C][/ROW]
[ROW][C]34[/C][C]103.8[/C][C]103.998784722222[/C][C]104.134166666667[/C][C]-0.135381944444438[/C][C]-0.198784722222229[/C][/ROW]
[ROW][C]35[/C][C]104.02[/C][C]104.061701388889[/C][C]104.075416666667[/C][C]-0.0137152777777793[/C][C]-0.0417013888889102[/C][/ROW]
[ROW][C]36[/C][C]104.02[/C][C]104.130201388889[/C][C]104.028333333333[/C][C]0.101868055555554[/C][C]-0.11020138888891[/C][/ROW]
[ROW][C]37[/C][C]104.91[/C][C]104.314701388889[/C][C]103.925[/C][C]0.389701388888884[/C][C]0.595298611111104[/C][/ROW]
[ROW][C]38[/C][C]104.97[/C][C]104.234284722222[/C][C]103.745[/C][C]0.489284722222212[/C][C]0.735715277777771[/C][/ROW]
[ROW][C]39[/C][C]103.86[/C][C]103.731034722222[/C][C]103.564583333333[/C][C]0.166451388888891[/C][C]0.12896527777778[/C][/ROW]
[ROW][C]40[/C][C]104.17[/C][C]103.599868055556[/C][C]103.402083333333[/C][C]0.197784722222224[/C][C]0.570131944444441[/C][/ROW]
[ROW][C]41[/C][C]103.21[/C][C]102.974451388889[/C][C]103.225416666667[/C][C]-0.250965277777777[/C][C]0.235548611111113[/C][/ROW]
[ROW][C]42[/C][C]103.21[/C][C]102.921701388889[/C][C]103.039583333333[/C][C]-0.117881944444439[/C][C]0.288298611111102[/C][/ROW]
[ROW][C]43[/C][C]101.91[/C][C]102.449451388889[/C][C]102.829166666667[/C][C]-0.379715277777776[/C][C]-0.539451388888907[/C][/ROW]
[ROW][C]44[/C][C]101.84[/C][C]102.358034722222[/C][C]102.595416666667[/C][C]-0.237381944444439[/C][C]-0.518034722222225[/C][/ROW]
[ROW][C]45[/C][C]101.91[/C][C]102.199951388889[/C][C]102.41[/C][C]-0.210048611111119[/C][C]-0.289951388888881[/C][/ROW]
[ROW][C]46[/C][C]101.79[/C][C]102.113784722222[/C][C]102.249166666667[/C][C]-0.135381944444438[/C][C]-0.323784722222214[/C][/ROW]
[ROW][C]47[/C][C]101.79[/C][C]102.095451388889[/C][C]102.109166666667[/C][C]-0.0137152777777793[/C][C]-0.305451388888869[/C][/ROW]
[ROW][C]48[/C][C]101.79[/C][C]102.113951388889[/C][C]102.012083333333[/C][C]0.101868055555554[/C][C]-0.323951388888858[/C][/ROW]
[ROW][C]49[/C][C]102.09[/C][C]102.347618055556[/C][C]101.957916666667[/C][C]0.389701388888884[/C][C]-0.25761805555554[/C][/ROW]
[ROW][C]50[/C][C]102.18[/C][C]102.439701388889[/C][C]101.950416666667[/C][C]0.489284722222212[/C][C]-0.259701388888871[/C][/ROW]
[ROW][C]51[/C][C]102.2[/C][C]102.110201388889[/C][C]101.94375[/C][C]0.166451388888891[/C][C]0.0897986111111067[/C][/ROW]
[ROW][C]52[/C][C]101.97[/C][C]102.138618055556[/C][C]101.940833333333[/C][C]0.197784722222224[/C][C]-0.168618055555541[/C][/ROW]
[ROW][C]53[/C][C]102.05[/C][C]101.693201388889[/C][C]101.944166666667[/C][C]-0.250965277777777[/C][C]0.356798611111117[/C][/ROW]
[ROW][C]54[/C][C]102.04[/C][C]101.831701388889[/C][C]101.949583333333[/C][C]-0.117881944444439[/C][C]0.208298611111132[/C][/ROW]
[ROW][C]55[/C][C]101.78[/C][C]101.565701388889[/C][C]101.945416666667[/C][C]-0.379715277777776[/C][C]0.214298611111118[/C][/ROW]
[ROW][C]56[/C][C]101.79[/C][C]101.688868055556[/C][C]101.92625[/C][C]-0.237381944444439[/C][C]0.101131944444447[/C][/ROW]
[ROW][C]57[/C][C]101.8[/C][C]101.662034722222[/C][C]101.872083333333[/C][C]-0.210048611111119[/C][C]0.137965277777781[/C][/ROW]
[ROW][C]58[/C][C]101.83[/C][C]101.660451388889[/C][C]101.795833333333[/C][C]-0.135381944444438[/C][C]0.169548611111111[/C][/ROW]
[ROW][C]59[/C][C]101.83[/C][C]101.714618055556[/C][C]101.728333333333[/C][C]-0.0137152777777793[/C][C]0.115381944444451[/C][/ROW]
[ROW][C]60[/C][C]101.88[/C][C]101.763534722222[/C][C]101.661666666667[/C][C]0.101868055555554[/C][C]0.116465277777763[/C][/ROW]
[ROW][C]61[/C][C]101.9[/C][C]102.006784722222[/C][C]101.617083333333[/C][C]0.389701388888884[/C][C]-0.106784722222201[/C][/ROW]
[ROW][C]62[/C][C]101.91[/C][C]102.082618055556[/C][C]101.593333333333[/C][C]0.489284722222212[/C][C]-0.172618055555532[/C][/ROW]
[ROW][C]63[/C][C]101.17[/C][C]101.740201388889[/C][C]101.57375[/C][C]0.166451388888891[/C][C]-0.570201388888862[/C][/ROW]
[ROW][C]64[/C][C]101.17[/C][C]101.745284722222[/C][C]101.5475[/C][C]0.197784722222224[/C][C]-0.575284722222207[/C][/ROW]
[ROW][C]65[/C][C]101.23[/C][C]101.261534722222[/C][C]101.5125[/C][C]-0.250965277777777[/C][C]-0.0315347222222044[/C][/ROW]
[ROW][C]66[/C][C]101.26[/C][C]101.359618055556[/C][C]101.4775[/C][C]-0.117881944444439[/C][C]-0.0996180555555526[/C][/ROW]
[ROW][C]67[/C][C]101.49[/C][C]NA[/C][C]NA[/C][C]-0.379715277777776[/C][C]NA[/C][/ROW]
[ROW][C]68[/C][C]101.51[/C][C]NA[/C][C]NA[/C][C]-0.237381944444439[/C][C]NA[/C][/ROW]
[ROW][C]69[/C][C]101.61[/C][C]NA[/C][C]NA[/C][C]-0.210048611111119[/C][C]NA[/C][/ROW]
[ROW][C]70[/C][C]101.39[/C][C]NA[/C][C]NA[/C][C]-0.135381944444438[/C][C]NA[/C][/ROW]
[ROW][C]71[/C][C]101.43[/C][C]NA[/C][C]NA[/C][C]-0.0137152777777793[/C][C]NA[/C][/ROW]
[ROW][C]72[/C][C]101.44[/C][C]NA[/C][C]NA[/C][C]0.101868055555554[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=208655&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=208655&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	105.71	NA	NA	0.389701388888884	NA
2	105.82	NA	NA	0.489284722222212	NA
3	105.82	NA	NA	0.166451388888891	NA
4	105.72	NA	NA	0.197784722222224	NA
5	105.76	NA	NA	-0.250965277777777	NA
6	105.8	NA	NA	-0.117881944444439	NA
7	105.09	105.063618055556	105.443333333333	-0.379715277777776	0.0263819444444522
8	105.06	105.156784722222	105.394166666667	-0.237381944444439	-0.0967847222222105
9	105.16	105.117451388889	105.3275	-0.210048611111119	0.0425486111111297
10	105.2	105.102951388889	105.238333333333	-0.135381944444438	0.09704861111112
11	105.21	105.105034722222	105.11875	-0.0137152777777793	0.104965277777794
12	105.23	105.090618055556	104.98875	0.101868055555554	0.139381944444466
13	105.19	105.292618055556	104.902916666667	0.389701388888884	-0.102618055555538
14	105.16	105.342201388889	104.852916666667	0.489284722222212	-0.18220138888887
15	104.88	104.969368055556	104.802916666667	0.166451388888891	-0.0893680555555392
16	104.52	104.949868055556	104.752083333333	0.197784722222224	-0.429868055555559
17	104.09	104.449868055556	104.700833333333	-0.250965277777777	-0.359868055555538
18	104.35	104.535868055556	104.65375	-0.117881944444439	-0.185868055555559
19	104.48	104.230284722222	104.61	-0.379715277777776	0.24971527777781
20	104.47	104.331784722222	104.569166666667	-0.237381944444439	0.138215277777803
21	104.55	104.342451388889	104.5525	-0.210048611111119	0.207548611111122
22	104.59	104.440868055556	104.57625	-0.135381944444438	0.149131944444449
23	104.59	104.570034722222	104.58375	-0.0137152777777793	0.0199652777777857
24	104.72	104.648534722222	104.546666666667	0.101868055555554	0.07146527777779
25	104.65	104.885118055556	104.495416666667	0.389701388888884	-0.235118055555546
26	104.72	104.948034722222	104.45875	0.489284722222212	-0.228034722222219
27	104.92	104.586034722222	104.419583333333	0.166451388888891	0.333965277777793
28	105.05	104.553201388889	104.355416666667	0.197784722222224	0.496798611111132
29	103.74	104.047784722222	104.29875	-0.250965277777777	-0.307784722222209
30	103.81	104.127951388889	104.245833333333	-0.117881944444439	-0.317951388888886
31	103.79	103.847784722222	104.2275	-0.379715277777776	-0.057784722222209
32	104.28	104.011368055556	104.24875	-0.237381944444439	0.268631944444436
33	103.8	104.004951388889	104.215	-0.210048611111119	-0.204951388888887
34	103.8	103.998784722222	104.134166666667	-0.135381944444438	-0.198784722222229
35	104.02	104.061701388889	104.075416666667	-0.0137152777777793	-0.0417013888889102
36	104.02	104.130201388889	104.028333333333	0.101868055555554	-0.11020138888891
37	104.91	104.314701388889	103.925	0.389701388888884	0.595298611111104
38	104.97	104.234284722222	103.745	0.489284722222212	0.735715277777771
39	103.86	103.731034722222	103.564583333333	0.166451388888891	0.12896527777778
40	104.17	103.599868055556	103.402083333333	0.197784722222224	0.570131944444441
41	103.21	102.974451388889	103.225416666667	-0.250965277777777	0.235548611111113
42	103.21	102.921701388889	103.039583333333	-0.117881944444439	0.288298611111102
43	101.91	102.449451388889	102.829166666667	-0.379715277777776	-0.539451388888907
44	101.84	102.358034722222	102.595416666667	-0.237381944444439	-0.518034722222225
45	101.91	102.199951388889	102.41	-0.210048611111119	-0.289951388888881
46	101.79	102.113784722222	102.249166666667	-0.135381944444438	-0.323784722222214
47	101.79	102.095451388889	102.109166666667	-0.0137152777777793	-0.305451388888869
48	101.79	102.113951388889	102.012083333333	0.101868055555554	-0.323951388888858
49	102.09	102.347618055556	101.957916666667	0.389701388888884	-0.25761805555554
50	102.18	102.439701388889	101.950416666667	0.489284722222212	-0.259701388888871
51	102.2	102.110201388889	101.94375	0.166451388888891	0.0897986111111067
52	101.97	102.138618055556	101.940833333333	0.197784722222224	-0.168618055555541
53	102.05	101.693201388889	101.944166666667	-0.250965277777777	0.356798611111117
54	102.04	101.831701388889	101.949583333333	-0.117881944444439	0.208298611111132
55	101.78	101.565701388889	101.945416666667	-0.379715277777776	0.214298611111118
56	101.79	101.688868055556	101.92625	-0.237381944444439	0.101131944444447
57	101.8	101.662034722222	101.872083333333	-0.210048611111119	0.137965277777781
58	101.83	101.660451388889	101.795833333333	-0.135381944444438	0.169548611111111
59	101.83	101.714618055556	101.728333333333	-0.0137152777777793	0.115381944444451
60	101.88	101.763534722222	101.661666666667	0.101868055555554	0.116465277777763
61	101.9	102.006784722222	101.617083333333	0.389701388888884	-0.106784722222201
62	101.91	102.082618055556	101.593333333333	0.489284722222212	-0.172618055555532
63	101.17	101.740201388889	101.57375	0.166451388888891	-0.570201388888862
64	101.17	101.745284722222	101.5475	0.197784722222224	-0.575284722222207
65	101.23	101.261534722222	101.5125	-0.250965277777777	-0.0315347222222044
66	101.26	101.359618055556	101.4775	-0.117881944444439	-0.0996180555555526
67	101.49	NA	NA	-0.379715277777776	NA
68	101.51	NA	NA	-0.237381944444439	NA
69	101.61	NA	NA	-0.210048611111119	NA
70	101.39	NA	NA	-0.135381944444438	NA
71	101.43	NA	NA	-0.0137152777777793	NA
72	101.44	NA	NA	0.101868055555554	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