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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Sat, 17 Jan 2009 14:07:37 -0700

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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/Jan/17/t1232226772jhv1hrxr1ls5og6.htm/, Retrieved Mon, 29 Apr 2024 14:07:21 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36926, Retrieved Mon, 29 Apr 2024 14:07:21 +0000

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Estimated Impact

198

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

-       [Classical Decomposition] [Opgave 9 - oefeni...] [2009-01-17 21:07:37] [be6d97e5c18f42f870a86936f130440b] [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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36926&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36926&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36926&T=0

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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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	0.72	NA	NA	-0.00535300925925926	NA
2	0.74	NA	NA	0.00534143518518521	NA
3	0.74	NA	NA	0.00436921296296298	NA
4	0.74	NA	NA	0.00339699074074074	NA
5	0.74	NA	NA	0.00242476851851851	NA
6	0.74	NA	NA	0.00145254629629628	NA
7	0.74	0.739716435185185	0.739166666666667	0.00054976851851853	0.000283564814814952
8	0.74	0.739924768518518	0.740416666666667	-0.00049189814814817	7.52314814815858e-05
9	0.74	0.73978587962963	0.74125	-0.00146412037037038	0.000214120370370496
10	0.74	0.73964699074074	0.742083333333333	-0.00243634259259259	0.000353009259259407
11	0.74	0.739508101851852	0.742916666666667	-0.00340856481481481	0.000491898148148207
12	0.74	0.739369212962963	0.74375	-0.00438078703703704	0.000630787037037117
13	0.74	0.739230324074074	0.744583333333333	-0.00535300925925926	0.000769675925926028
14	0.75	0.750758101851852	0.745416666666667	0.00534143518518521	-0.000758101851851878
15	0.75	0.750619212962963	0.74625	0.00436921296296298	-0.000619212962962967
16	0.75	0.750480324074074	0.747083333333333	0.00339699074074074	-0.000480324074074057
17	0.75	0.750341435185185	0.747916666666667	0.00242476851851851	-0.000341435185185146
18	0.75	0.750202546296296	0.74875	0.00145254629629628	-0.000202546296296346
19	0.75	0.750133101851852	0.749583333333333	0.00054976851851853	-0.000133101851851891
20	0.75	0.749924768518519	0.750416666666667	-0.00049189814814817	7.52314814814747e-05
21	0.75	0.74978587962963	0.75125	-0.00146412037037038	0.000214120370370385
22	0.75	0.74964699074074	0.752083333333333	-0.00243634259259259	0.000353009259259296
23	0.75	0.749508101851852	0.752916666666667	-0.00340856481481481	0.000491898148148096
24	0.75	0.749369212962963	0.75375	-0.00438078703703704	0.000630787037037117
25	0.75	0.749230324074074	0.754583333333333	-0.00535300925925926	0.000769675925926028
26	0.76	0.760758101851852	0.755416666666667	0.00534143518518521	-0.000758101851851878
27	0.76	0.760619212962963	0.75625	0.00436921296296298	-0.000619212962962967
28	0.76	0.760480324074074	0.757083333333333	0.00339699074074074	-0.000480324074074057
29	0.76	0.760341435185185	0.757916666666667	0.00242476851851851	-0.000341435185185146
30	0.76	0.760202546296296	0.75875	0.00145254629629628	-0.000202546296296346
31	0.76	0.760133101851852	0.759583333333333	0.00054976851851853	-0.000133101851851891
32	0.76	0.760341435185185	0.760833333333333	-0.00049189814814817	-0.000341435185185146
33	0.76	0.76103587962963	0.7625	-0.00146412037037038	-0.0010358796296297
34	0.76	0.761730324074074	0.764166666666667	-0.00243634259259259	-0.00173032407407414
35	0.76	0.762424768518519	0.765833333333333	-0.00340856481481481	-0.00242476851851858
36	0.76	0.763119212962963	0.7675	-0.00438078703703704	-0.00311921296296302
37	0.76	0.763813657407407	0.769166666666667	-0.00535300925925926	-0.00381365740740736
38	0.78	0.776174768518519	0.770833333333333	0.00534143518518521	0.00382523148148139
39	0.78	0.776869212962963	0.7725	0.00436921296296298	0.00313078703703706
40	0.78	0.777563657407407	0.774166666666667	0.00339699074074074	0.00243634259259262
41	0.78	0.778258101851852	0.775833333333333	0.00242476851851851	0.00174189814814829
42	0.78	0.778952546296296	0.7775	0.00145254629629628	0.00104745370370385
43	0.78	0.779716435185185	0.779166666666666	0.00054976851851853	0.000283564814815063
44	0.78	0.779508101851852	0.78	-0.00049189814814817	0.000491898148148429
45	0.78	0.77853587962963	0.78	-0.00146412037037038	0.00146412037037058
46	0.78	0.777563657407407	0.78	-0.00243634259259259	0.00243634259259284
47	0.78	0.776591435185185	0.78	-0.00340856481481481	0.00340856481481500
48	0.78	0.775619212962963	0.78	-0.00438078703703704	0.00438078703703726
49	0.78	0.77464699074074	0.78	-0.00535300925925926	0.00535300925925952
50	0.78	0.785341435185185	0.78	0.00534143518518521	-0.00534143518518504
51	0.78	0.784369212962963	0.78	0.00436921296296298	-0.00436921296296278
52	0.78	0.78339699074074	0.78	0.00339699074074074	-0.00339699074074051
53	0.78	0.782424768518518	0.78	0.00242476851851851	-0.00242476851851825
54	0.78	0.781452546296296	0.78	0.00145254629629628	-0.00145254629629610
55	0.78	0.780549768518518	0.78	0.00054976851851853	-0.00054976851851829
56	0.78	0.780341435185185	0.780833333333333	-0.00049189814814817	-0.000341435185185035
57	0.78	0.78103587962963	0.7825	-0.00146412037037038	-0.00103587962962959
58	0.78	0.781730324074074	0.784166666666666	-0.00243634259259259	-0.00173032407407381
59	0.78	0.782424768518518	0.785833333333333	-0.00340856481481481	-0.00242476851851836
60	0.78	0.783119212962963	0.7875	-0.00438078703703704	-0.0031192129629628
61	0.78	0.783813657407407	0.789166666666667	-0.00535300925925926	-0.00381365740740724
62	0.8	0.796174768518518	0.790833333333333	0.00534143518518521	0.00382523148148173
63	0.8	0.796869212962963	0.7925	0.00436921296296298	0.00313078703703729
64	0.8	0.797563657407407	0.794166666666666	0.00339699074074074	0.00243634259259284
65	0.8	0.798258101851852	0.795833333333333	0.00242476851851851	0.00174189814814840
66	0.8	0.798952546296296	0.7975	0.00145254629629628	0.00104745370370385
67	0.8	0.799716435185185	0.799166666666667	0.00054976851851853	0.000283564814814952
68	0.8	0.799924768518518	0.800416666666667	-0.00049189814814817	7.52314814816968e-05
69	0.8	0.79978587962963	0.80125	-0.00146412037037038	0.000214120370370496
70	0.8	0.79964699074074	0.802083333333333	-0.00243634259259259	0.000353009259259407
71	0.8	0.799508101851852	0.802916666666667	-0.00340856481481481	0.000491898148148207
72	0.8	0.799369212962963	0.80375	-0.00438078703703704	0.000630787037037117
73	0.8	0.799230324074074	0.804583333333333	-0.00535300925925926	0.000769675925926028
74	0.81	0.810758101851852	0.805416666666667	0.00534143518518521	-0.000758101851851878
75	0.81	0.810619212962963	0.80625	0.00436921296296298	-0.000619212962962967
76	0.81	0.810480324074074	0.807083333333333	0.00339699074074074	-0.000480324074074057
77	0.81	0.810341435185185	0.807916666666667	0.00242476851851851	-0.000341435185185146
78	0.81	0.810202546296296	0.80875	0.00145254629629628	-0.000202546296296346
79	0.81	NA	NA	0.00054976851851853	NA
80	0.81	NA	NA	-0.00049189814814817	NA
81	0.81	NA	NA	-0.00146412037037038	NA
82	0.81	NA	NA	-0.00243634259259259	NA
83	0.81	NA	NA	-0.00340856481481481	NA
84	0.81	NA	NA	-0.00438078703703704	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 0.72 & NA & NA & -0.00535300925925926 & NA \tabularnewline
2 & 0.74 & NA & NA & 0.00534143518518521 & NA \tabularnewline
3 & 0.74 & NA & NA & 0.00436921296296298 & NA \tabularnewline
4 & 0.74 & NA & NA & 0.00339699074074074 & NA \tabularnewline
5 & 0.74 & NA & NA & 0.00242476851851851 & NA \tabularnewline
6 & 0.74 & NA & NA & 0.00145254629629628 & NA \tabularnewline
7 & 0.74 & 0.739716435185185 & 0.739166666666667 & 0.00054976851851853 & 0.000283564814814952 \tabularnewline
8 & 0.74 & 0.739924768518518 & 0.740416666666667 & -0.00049189814814817 & 7.52314814815858e-05 \tabularnewline
9 & 0.74 & 0.73978587962963 & 0.74125 & -0.00146412037037038 & 0.000214120370370496 \tabularnewline
10 & 0.74 & 0.73964699074074 & 0.742083333333333 & -0.00243634259259259 & 0.000353009259259407 \tabularnewline
11 & 0.74 & 0.739508101851852 & 0.742916666666667 & -0.00340856481481481 & 0.000491898148148207 \tabularnewline
12 & 0.74 & 0.739369212962963 & 0.74375 & -0.00438078703703704 & 0.000630787037037117 \tabularnewline
13 & 0.74 & 0.739230324074074 & 0.744583333333333 & -0.00535300925925926 & 0.000769675925926028 \tabularnewline
14 & 0.75 & 0.750758101851852 & 0.745416666666667 & 0.00534143518518521 & -0.000758101851851878 \tabularnewline
15 & 0.75 & 0.750619212962963 & 0.74625 & 0.00436921296296298 & -0.000619212962962967 \tabularnewline
16 & 0.75 & 0.750480324074074 & 0.747083333333333 & 0.00339699074074074 & -0.000480324074074057 \tabularnewline
17 & 0.75 & 0.750341435185185 & 0.747916666666667 & 0.00242476851851851 & -0.000341435185185146 \tabularnewline
18 & 0.75 & 0.750202546296296 & 0.74875 & 0.00145254629629628 & -0.000202546296296346 \tabularnewline
19 & 0.75 & 0.750133101851852 & 0.749583333333333 & 0.00054976851851853 & -0.000133101851851891 \tabularnewline
20 & 0.75 & 0.749924768518519 & 0.750416666666667 & -0.00049189814814817 & 7.52314814814747e-05 \tabularnewline
21 & 0.75 & 0.74978587962963 & 0.75125 & -0.00146412037037038 & 0.000214120370370385 \tabularnewline
22 & 0.75 & 0.74964699074074 & 0.752083333333333 & -0.00243634259259259 & 0.000353009259259296 \tabularnewline
23 & 0.75 & 0.749508101851852 & 0.752916666666667 & -0.00340856481481481 & 0.000491898148148096 \tabularnewline
24 & 0.75 & 0.749369212962963 & 0.75375 & -0.00438078703703704 & 0.000630787037037117 \tabularnewline
25 & 0.75 & 0.749230324074074 & 0.754583333333333 & -0.00535300925925926 & 0.000769675925926028 \tabularnewline
26 & 0.76 & 0.760758101851852 & 0.755416666666667 & 0.00534143518518521 & -0.000758101851851878 \tabularnewline
27 & 0.76 & 0.760619212962963 & 0.75625 & 0.00436921296296298 & -0.000619212962962967 \tabularnewline
28 & 0.76 & 0.760480324074074 & 0.757083333333333 & 0.00339699074074074 & -0.000480324074074057 \tabularnewline
29 & 0.76 & 0.760341435185185 & 0.757916666666667 & 0.00242476851851851 & -0.000341435185185146 \tabularnewline
30 & 0.76 & 0.760202546296296 & 0.75875 & 0.00145254629629628 & -0.000202546296296346 \tabularnewline
31 & 0.76 & 0.760133101851852 & 0.759583333333333 & 0.00054976851851853 & -0.000133101851851891 \tabularnewline
32 & 0.76 & 0.760341435185185 & 0.760833333333333 & -0.00049189814814817 & -0.000341435185185146 \tabularnewline
33 & 0.76 & 0.76103587962963 & 0.7625 & -0.00146412037037038 & -0.0010358796296297 \tabularnewline
34 & 0.76 & 0.761730324074074 & 0.764166666666667 & -0.00243634259259259 & -0.00173032407407414 \tabularnewline
35 & 0.76 & 0.762424768518519 & 0.765833333333333 & -0.00340856481481481 & -0.00242476851851858 \tabularnewline
36 & 0.76 & 0.763119212962963 & 0.7675 & -0.00438078703703704 & -0.00311921296296302 \tabularnewline
37 & 0.76 & 0.763813657407407 & 0.769166666666667 & -0.00535300925925926 & -0.00381365740740736 \tabularnewline
38 & 0.78 & 0.776174768518519 & 0.770833333333333 & 0.00534143518518521 & 0.00382523148148139 \tabularnewline
39 & 0.78 & 0.776869212962963 & 0.7725 & 0.00436921296296298 & 0.00313078703703706 \tabularnewline
40 & 0.78 & 0.777563657407407 & 0.774166666666667 & 0.00339699074074074 & 0.00243634259259262 \tabularnewline
41 & 0.78 & 0.778258101851852 & 0.775833333333333 & 0.00242476851851851 & 0.00174189814814829 \tabularnewline
42 & 0.78 & 0.778952546296296 & 0.7775 & 0.00145254629629628 & 0.00104745370370385 \tabularnewline
43 & 0.78 & 0.779716435185185 & 0.779166666666666 & 0.00054976851851853 & 0.000283564814815063 \tabularnewline
44 & 0.78 & 0.779508101851852 & 0.78 & -0.00049189814814817 & 0.000491898148148429 \tabularnewline
45 & 0.78 & 0.77853587962963 & 0.78 & -0.00146412037037038 & 0.00146412037037058 \tabularnewline
46 & 0.78 & 0.777563657407407 & 0.78 & -0.00243634259259259 & 0.00243634259259284 \tabularnewline
47 & 0.78 & 0.776591435185185 & 0.78 & -0.00340856481481481 & 0.00340856481481500 \tabularnewline
48 & 0.78 & 0.775619212962963 & 0.78 & -0.00438078703703704 & 0.00438078703703726 \tabularnewline
49 & 0.78 & 0.77464699074074 & 0.78 & -0.00535300925925926 & 0.00535300925925952 \tabularnewline
50 & 0.78 & 0.785341435185185 & 0.78 & 0.00534143518518521 & -0.00534143518518504 \tabularnewline
51 & 0.78 & 0.784369212962963 & 0.78 & 0.00436921296296298 & -0.00436921296296278 \tabularnewline
52 & 0.78 & 0.78339699074074 & 0.78 & 0.00339699074074074 & -0.00339699074074051 \tabularnewline
53 & 0.78 & 0.782424768518518 & 0.78 & 0.00242476851851851 & -0.00242476851851825 \tabularnewline
54 & 0.78 & 0.781452546296296 & 0.78 & 0.00145254629629628 & -0.00145254629629610 \tabularnewline
55 & 0.78 & 0.780549768518518 & 0.78 & 0.00054976851851853 & -0.00054976851851829 \tabularnewline
56 & 0.78 & 0.780341435185185 & 0.780833333333333 & -0.00049189814814817 & -0.000341435185185035 \tabularnewline
57 & 0.78 & 0.78103587962963 & 0.7825 & -0.00146412037037038 & -0.00103587962962959 \tabularnewline
58 & 0.78 & 0.781730324074074 & 0.784166666666666 & -0.00243634259259259 & -0.00173032407407381 \tabularnewline
59 & 0.78 & 0.782424768518518 & 0.785833333333333 & -0.00340856481481481 & -0.00242476851851836 \tabularnewline
60 & 0.78 & 0.783119212962963 & 0.7875 & -0.00438078703703704 & -0.0031192129629628 \tabularnewline
61 & 0.78 & 0.783813657407407 & 0.789166666666667 & -0.00535300925925926 & -0.00381365740740724 \tabularnewline
62 & 0.8 & 0.796174768518518 & 0.790833333333333 & 0.00534143518518521 & 0.00382523148148173 \tabularnewline
63 & 0.8 & 0.796869212962963 & 0.7925 & 0.00436921296296298 & 0.00313078703703729 \tabularnewline
64 & 0.8 & 0.797563657407407 & 0.794166666666666 & 0.00339699074074074 & 0.00243634259259284 \tabularnewline
65 & 0.8 & 0.798258101851852 & 0.795833333333333 & 0.00242476851851851 & 0.00174189814814840 \tabularnewline
66 & 0.8 & 0.798952546296296 & 0.7975 & 0.00145254629629628 & 0.00104745370370385 \tabularnewline
67 & 0.8 & 0.799716435185185 & 0.799166666666667 & 0.00054976851851853 & 0.000283564814814952 \tabularnewline
68 & 0.8 & 0.799924768518518 & 0.800416666666667 & -0.00049189814814817 & 7.52314814816968e-05 \tabularnewline
69 & 0.8 & 0.79978587962963 & 0.80125 & -0.00146412037037038 & 0.000214120370370496 \tabularnewline
70 & 0.8 & 0.79964699074074 & 0.802083333333333 & -0.00243634259259259 & 0.000353009259259407 \tabularnewline
71 & 0.8 & 0.799508101851852 & 0.802916666666667 & -0.00340856481481481 & 0.000491898148148207 \tabularnewline
72 & 0.8 & 0.799369212962963 & 0.80375 & -0.00438078703703704 & 0.000630787037037117 \tabularnewline
73 & 0.8 & 0.799230324074074 & 0.804583333333333 & -0.00535300925925926 & 0.000769675925926028 \tabularnewline
74 & 0.81 & 0.810758101851852 & 0.805416666666667 & 0.00534143518518521 & -0.000758101851851878 \tabularnewline
75 & 0.81 & 0.810619212962963 & 0.80625 & 0.00436921296296298 & -0.000619212962962967 \tabularnewline
76 & 0.81 & 0.810480324074074 & 0.807083333333333 & 0.00339699074074074 & -0.000480324074074057 \tabularnewline
77 & 0.81 & 0.810341435185185 & 0.807916666666667 & 0.00242476851851851 & -0.000341435185185146 \tabularnewline
78 & 0.81 & 0.810202546296296 & 0.80875 & 0.00145254629629628 & -0.000202546296296346 \tabularnewline
79 & 0.81 & NA & NA & 0.00054976851851853 & NA \tabularnewline
80 & 0.81 & NA & NA & -0.00049189814814817 & NA \tabularnewline
81 & 0.81 & NA & NA & -0.00146412037037038 & NA \tabularnewline
82 & 0.81 & NA & NA & -0.00243634259259259 & NA \tabularnewline
83 & 0.81 & NA & NA & -0.00340856481481481 & NA \tabularnewline
84 & 0.81 & NA & NA & -0.00438078703703704 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36926&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]0.72[/C][C]NA[/C][C]NA[/C][C]-0.00535300925925926[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]0.74[/C][C]NA[/C][C]NA[/C][C]0.00534143518518521[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]0.74[/C][C]NA[/C][C]NA[/C][C]0.00436921296296298[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]0.74[/C][C]NA[/C][C]NA[/C][C]0.00339699074074074[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]0.74[/C][C]NA[/C][C]NA[/C][C]0.00242476851851851[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]0.74[/C][C]NA[/C][C]NA[/C][C]0.00145254629629628[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]0.74[/C][C]0.739716435185185[/C][C]0.739166666666667[/C][C]0.00054976851851853[/C][C]0.000283564814814952[/C][/ROW]
[ROW][C]8[/C][C]0.74[/C][C]0.739924768518518[/C][C]0.740416666666667[/C][C]-0.00049189814814817[/C][C]7.52314814815858e-05[/C][/ROW]
[ROW][C]9[/C][C]0.74[/C][C]0.73978587962963[/C][C]0.74125[/C][C]-0.00146412037037038[/C][C]0.000214120370370496[/C][/ROW]
[ROW][C]10[/C][C]0.74[/C][C]0.73964699074074[/C][C]0.742083333333333[/C][C]-0.00243634259259259[/C][C]0.000353009259259407[/C][/ROW]
[ROW][C]11[/C][C]0.74[/C][C]0.739508101851852[/C][C]0.742916666666667[/C][C]-0.00340856481481481[/C][C]0.000491898148148207[/C][/ROW]
[ROW][C]12[/C][C]0.74[/C][C]0.739369212962963[/C][C]0.74375[/C][C]-0.00438078703703704[/C][C]0.000630787037037117[/C][/ROW]
[ROW][C]13[/C][C]0.74[/C][C]0.739230324074074[/C][C]0.744583333333333[/C][C]-0.00535300925925926[/C][C]0.000769675925926028[/C][/ROW]
[ROW][C]14[/C][C]0.75[/C][C]0.750758101851852[/C][C]0.745416666666667[/C][C]0.00534143518518521[/C][C]-0.000758101851851878[/C][/ROW]
[ROW][C]15[/C][C]0.75[/C][C]0.750619212962963[/C][C]0.74625[/C][C]0.00436921296296298[/C][C]-0.000619212962962967[/C][/ROW]
[ROW][C]16[/C][C]0.75[/C][C]0.750480324074074[/C][C]0.747083333333333[/C][C]0.00339699074074074[/C][C]-0.000480324074074057[/C][/ROW]
[ROW][C]17[/C][C]0.75[/C][C]0.750341435185185[/C][C]0.747916666666667[/C][C]0.00242476851851851[/C][C]-0.000341435185185146[/C][/ROW]
[ROW][C]18[/C][C]0.75[/C][C]0.750202546296296[/C][C]0.74875[/C][C]0.00145254629629628[/C][C]-0.000202546296296346[/C][/ROW]
[ROW][C]19[/C][C]0.75[/C][C]0.750133101851852[/C][C]0.749583333333333[/C][C]0.00054976851851853[/C][C]-0.000133101851851891[/C][/ROW]
[ROW][C]20[/C][C]0.75[/C][C]0.749924768518519[/C][C]0.750416666666667[/C][C]-0.00049189814814817[/C][C]7.52314814814747e-05[/C][/ROW]
[ROW][C]21[/C][C]0.75[/C][C]0.74978587962963[/C][C]0.75125[/C][C]-0.00146412037037038[/C][C]0.000214120370370385[/C][/ROW]
[ROW][C]22[/C][C]0.75[/C][C]0.74964699074074[/C][C]0.752083333333333[/C][C]-0.00243634259259259[/C][C]0.000353009259259296[/C][/ROW]
[ROW][C]23[/C][C]0.75[/C][C]0.749508101851852[/C][C]0.752916666666667[/C][C]-0.00340856481481481[/C][C]0.000491898148148096[/C][/ROW]
[ROW][C]24[/C][C]0.75[/C][C]0.749369212962963[/C][C]0.75375[/C][C]-0.00438078703703704[/C][C]0.000630787037037117[/C][/ROW]
[ROW][C]25[/C][C]0.75[/C][C]0.749230324074074[/C][C]0.754583333333333[/C][C]-0.00535300925925926[/C][C]0.000769675925926028[/C][/ROW]
[ROW][C]26[/C][C]0.76[/C][C]0.760758101851852[/C][C]0.755416666666667[/C][C]0.00534143518518521[/C][C]-0.000758101851851878[/C][/ROW]
[ROW][C]27[/C][C]0.76[/C][C]0.760619212962963[/C][C]0.75625[/C][C]0.00436921296296298[/C][C]-0.000619212962962967[/C][/ROW]
[ROW][C]28[/C][C]0.76[/C][C]0.760480324074074[/C][C]0.757083333333333[/C][C]0.00339699074074074[/C][C]-0.000480324074074057[/C][/ROW]
[ROW][C]29[/C][C]0.76[/C][C]0.760341435185185[/C][C]0.757916666666667[/C][C]0.00242476851851851[/C][C]-0.000341435185185146[/C][/ROW]
[ROW][C]30[/C][C]0.76[/C][C]0.760202546296296[/C][C]0.75875[/C][C]0.00145254629629628[/C][C]-0.000202546296296346[/C][/ROW]
[ROW][C]31[/C][C]0.76[/C][C]0.760133101851852[/C][C]0.759583333333333[/C][C]0.00054976851851853[/C][C]-0.000133101851851891[/C][/ROW]
[ROW][C]32[/C][C]0.76[/C][C]0.760341435185185[/C][C]0.760833333333333[/C][C]-0.00049189814814817[/C][C]-0.000341435185185146[/C][/ROW]
[ROW][C]33[/C][C]0.76[/C][C]0.76103587962963[/C][C]0.7625[/C][C]-0.00146412037037038[/C][C]-0.0010358796296297[/C][/ROW]
[ROW][C]34[/C][C]0.76[/C][C]0.761730324074074[/C][C]0.764166666666667[/C][C]-0.00243634259259259[/C][C]-0.00173032407407414[/C][/ROW]
[ROW][C]35[/C][C]0.76[/C][C]0.762424768518519[/C][C]0.765833333333333[/C][C]-0.00340856481481481[/C][C]-0.00242476851851858[/C][/ROW]
[ROW][C]36[/C][C]0.76[/C][C]0.763119212962963[/C][C]0.7675[/C][C]-0.00438078703703704[/C][C]-0.00311921296296302[/C][/ROW]
[ROW][C]37[/C][C]0.76[/C][C]0.763813657407407[/C][C]0.769166666666667[/C][C]-0.00535300925925926[/C][C]-0.00381365740740736[/C][/ROW]
[ROW][C]38[/C][C]0.78[/C][C]0.776174768518519[/C][C]0.770833333333333[/C][C]0.00534143518518521[/C][C]0.00382523148148139[/C][/ROW]
[ROW][C]39[/C][C]0.78[/C][C]0.776869212962963[/C][C]0.7725[/C][C]0.00436921296296298[/C][C]0.00313078703703706[/C][/ROW]
[ROW][C]40[/C][C]0.78[/C][C]0.777563657407407[/C][C]0.774166666666667[/C][C]0.00339699074074074[/C][C]0.00243634259259262[/C][/ROW]
[ROW][C]41[/C][C]0.78[/C][C]0.778258101851852[/C][C]0.775833333333333[/C][C]0.00242476851851851[/C][C]0.00174189814814829[/C][/ROW]
[ROW][C]42[/C][C]0.78[/C][C]0.778952546296296[/C][C]0.7775[/C][C]0.00145254629629628[/C][C]0.00104745370370385[/C][/ROW]
[ROW][C]43[/C][C]0.78[/C][C]0.779716435185185[/C][C]0.779166666666666[/C][C]0.00054976851851853[/C][C]0.000283564814815063[/C][/ROW]
[ROW][C]44[/C][C]0.78[/C][C]0.779508101851852[/C][C]0.78[/C][C]-0.00049189814814817[/C][C]0.000491898148148429[/C][/ROW]
[ROW][C]45[/C][C]0.78[/C][C]0.77853587962963[/C][C]0.78[/C][C]-0.00146412037037038[/C][C]0.00146412037037058[/C][/ROW]
[ROW][C]46[/C][C]0.78[/C][C]0.777563657407407[/C][C]0.78[/C][C]-0.00243634259259259[/C][C]0.00243634259259284[/C][/ROW]
[ROW][C]47[/C][C]0.78[/C][C]0.776591435185185[/C][C]0.78[/C][C]-0.00340856481481481[/C][C]0.00340856481481500[/C][/ROW]
[ROW][C]48[/C][C]0.78[/C][C]0.775619212962963[/C][C]0.78[/C][C]-0.00438078703703704[/C][C]0.00438078703703726[/C][/ROW]
[ROW][C]49[/C][C]0.78[/C][C]0.77464699074074[/C][C]0.78[/C][C]-0.00535300925925926[/C][C]0.00535300925925952[/C][/ROW]
[ROW][C]50[/C][C]0.78[/C][C]0.785341435185185[/C][C]0.78[/C][C]0.00534143518518521[/C][C]-0.00534143518518504[/C][/ROW]
[ROW][C]51[/C][C]0.78[/C][C]0.784369212962963[/C][C]0.78[/C][C]0.00436921296296298[/C][C]-0.00436921296296278[/C][/ROW]
[ROW][C]52[/C][C]0.78[/C][C]0.78339699074074[/C][C]0.78[/C][C]0.00339699074074074[/C][C]-0.00339699074074051[/C][/ROW]
[ROW][C]53[/C][C]0.78[/C][C]0.782424768518518[/C][C]0.78[/C][C]0.00242476851851851[/C][C]-0.00242476851851825[/C][/ROW]
[ROW][C]54[/C][C]0.78[/C][C]0.781452546296296[/C][C]0.78[/C][C]0.00145254629629628[/C][C]-0.00145254629629610[/C][/ROW]
[ROW][C]55[/C][C]0.78[/C][C]0.780549768518518[/C][C]0.78[/C][C]0.00054976851851853[/C][C]-0.00054976851851829[/C][/ROW]
[ROW][C]56[/C][C]0.78[/C][C]0.780341435185185[/C][C]0.780833333333333[/C][C]-0.00049189814814817[/C][C]-0.000341435185185035[/C][/ROW]
[ROW][C]57[/C][C]0.78[/C][C]0.78103587962963[/C][C]0.7825[/C][C]-0.00146412037037038[/C][C]-0.00103587962962959[/C][/ROW]
[ROW][C]58[/C][C]0.78[/C][C]0.781730324074074[/C][C]0.784166666666666[/C][C]-0.00243634259259259[/C][C]-0.00173032407407381[/C][/ROW]
[ROW][C]59[/C][C]0.78[/C][C]0.782424768518518[/C][C]0.785833333333333[/C][C]-0.00340856481481481[/C][C]-0.00242476851851836[/C][/ROW]
[ROW][C]60[/C][C]0.78[/C][C]0.783119212962963[/C][C]0.7875[/C][C]-0.00438078703703704[/C][C]-0.0031192129629628[/C][/ROW]
[ROW][C]61[/C][C]0.78[/C][C]0.783813657407407[/C][C]0.789166666666667[/C][C]-0.00535300925925926[/C][C]-0.00381365740740724[/C][/ROW]
[ROW][C]62[/C][C]0.8[/C][C]0.796174768518518[/C][C]0.790833333333333[/C][C]0.00534143518518521[/C][C]0.00382523148148173[/C][/ROW]
[ROW][C]63[/C][C]0.8[/C][C]0.796869212962963[/C][C]0.7925[/C][C]0.00436921296296298[/C][C]0.00313078703703729[/C][/ROW]
[ROW][C]64[/C][C]0.8[/C][C]0.797563657407407[/C][C]0.794166666666666[/C][C]0.00339699074074074[/C][C]0.00243634259259284[/C][/ROW]
[ROW][C]65[/C][C]0.8[/C][C]0.798258101851852[/C][C]0.795833333333333[/C][C]0.00242476851851851[/C][C]0.00174189814814840[/C][/ROW]
[ROW][C]66[/C][C]0.8[/C][C]0.798952546296296[/C][C]0.7975[/C][C]0.00145254629629628[/C][C]0.00104745370370385[/C][/ROW]
[ROW][C]67[/C][C]0.8[/C][C]0.799716435185185[/C][C]0.799166666666667[/C][C]0.00054976851851853[/C][C]0.000283564814814952[/C][/ROW]
[ROW][C]68[/C][C]0.8[/C][C]0.799924768518518[/C][C]0.800416666666667[/C][C]-0.00049189814814817[/C][C]7.52314814816968e-05[/C][/ROW]
[ROW][C]69[/C][C]0.8[/C][C]0.79978587962963[/C][C]0.80125[/C][C]-0.00146412037037038[/C][C]0.000214120370370496[/C][/ROW]
[ROW][C]70[/C][C]0.8[/C][C]0.79964699074074[/C][C]0.802083333333333[/C][C]-0.00243634259259259[/C][C]0.000353009259259407[/C][/ROW]
[ROW][C]71[/C][C]0.8[/C][C]0.799508101851852[/C][C]0.802916666666667[/C][C]-0.00340856481481481[/C][C]0.000491898148148207[/C][/ROW]
[ROW][C]72[/C][C]0.8[/C][C]0.799369212962963[/C][C]0.80375[/C][C]-0.00438078703703704[/C][C]0.000630787037037117[/C][/ROW]
[ROW][C]73[/C][C]0.8[/C][C]0.799230324074074[/C][C]0.804583333333333[/C][C]-0.00535300925925926[/C][C]0.000769675925926028[/C][/ROW]
[ROW][C]74[/C][C]0.81[/C][C]0.810758101851852[/C][C]0.805416666666667[/C][C]0.00534143518518521[/C][C]-0.000758101851851878[/C][/ROW]
[ROW][C]75[/C][C]0.81[/C][C]0.810619212962963[/C][C]0.80625[/C][C]0.00436921296296298[/C][C]-0.000619212962962967[/C][/ROW]
[ROW][C]76[/C][C]0.81[/C][C]0.810480324074074[/C][C]0.807083333333333[/C][C]0.00339699074074074[/C][C]-0.000480324074074057[/C][/ROW]
[ROW][C]77[/C][C]0.81[/C][C]0.810341435185185[/C][C]0.807916666666667[/C][C]0.00242476851851851[/C][C]-0.000341435185185146[/C][/ROW]
[ROW][C]78[/C][C]0.81[/C][C]0.810202546296296[/C][C]0.80875[/C][C]0.00145254629629628[/C][C]-0.000202546296296346[/C][/ROW]
[ROW][C]79[/C][C]0.81[/C][C]NA[/C][C]NA[/C][C]0.00054976851851853[/C][C]NA[/C][/ROW]
[ROW][C]80[/C][C]0.81[/C][C]NA[/C][C]NA[/C][C]-0.00049189814814817[/C][C]NA[/C][/ROW]
[ROW][C]81[/C][C]0.81[/C][C]NA[/C][C]NA[/C][C]-0.00146412037037038[/C][C]NA[/C][/ROW]
[ROW][C]82[/C][C]0.81[/C][C]NA[/C][C]NA[/C][C]-0.00243634259259259[/C][C]NA[/C][/ROW]
[ROW][C]83[/C][C]0.81[/C][C]NA[/C][C]NA[/C][C]-0.00340856481481481[/C][C]NA[/C][/ROW]
[ROW][C]84[/C][C]0.81[/C][C]NA[/C][C]NA[/C][C]-0.00438078703703704[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36926&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36926&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	0.72	NA	NA	-0.00535300925925926	NA
2	0.74	NA	NA	0.00534143518518521	NA
3	0.74	NA	NA	0.00436921296296298	NA
4	0.74	NA	NA	0.00339699074074074	NA
5	0.74	NA	NA	0.00242476851851851	NA
6	0.74	NA	NA	0.00145254629629628	NA
7	0.74	0.739716435185185	0.739166666666667	0.00054976851851853	0.000283564814814952
8	0.74	0.739924768518518	0.740416666666667	-0.00049189814814817	7.52314814815858e-05
9	0.74	0.73978587962963	0.74125	-0.00146412037037038	0.000214120370370496
10	0.74	0.73964699074074	0.742083333333333	-0.00243634259259259	0.000353009259259407
11	0.74	0.739508101851852	0.742916666666667	-0.00340856481481481	0.000491898148148207
12	0.74	0.739369212962963	0.74375	-0.00438078703703704	0.000630787037037117
13	0.74	0.739230324074074	0.744583333333333	-0.00535300925925926	0.000769675925926028
14	0.75	0.750758101851852	0.745416666666667	0.00534143518518521	-0.000758101851851878
15	0.75	0.750619212962963	0.74625	0.00436921296296298	-0.000619212962962967
16	0.75	0.750480324074074	0.747083333333333	0.00339699074074074	-0.000480324074074057
17	0.75	0.750341435185185	0.747916666666667	0.00242476851851851	-0.000341435185185146
18	0.75	0.750202546296296	0.74875	0.00145254629629628	-0.000202546296296346
19	0.75	0.750133101851852	0.749583333333333	0.00054976851851853	-0.000133101851851891
20	0.75	0.749924768518519	0.750416666666667	-0.00049189814814817	7.52314814814747e-05
21	0.75	0.74978587962963	0.75125	-0.00146412037037038	0.000214120370370385
22	0.75	0.74964699074074	0.752083333333333	-0.00243634259259259	0.000353009259259296
23	0.75	0.749508101851852	0.752916666666667	-0.00340856481481481	0.000491898148148096
24	0.75	0.749369212962963	0.75375	-0.00438078703703704	0.000630787037037117
25	0.75	0.749230324074074	0.754583333333333	-0.00535300925925926	0.000769675925926028
26	0.76	0.760758101851852	0.755416666666667	0.00534143518518521	-0.000758101851851878
27	0.76	0.760619212962963	0.75625	0.00436921296296298	-0.000619212962962967
28	0.76	0.760480324074074	0.757083333333333	0.00339699074074074	-0.000480324074074057
29	0.76	0.760341435185185	0.757916666666667	0.00242476851851851	-0.000341435185185146
30	0.76	0.760202546296296	0.75875	0.00145254629629628	-0.000202546296296346
31	0.76	0.760133101851852	0.759583333333333	0.00054976851851853	-0.000133101851851891
32	0.76	0.760341435185185	0.760833333333333	-0.00049189814814817	-0.000341435185185146
33	0.76	0.76103587962963	0.7625	-0.00146412037037038	-0.0010358796296297
34	0.76	0.761730324074074	0.764166666666667	-0.00243634259259259	-0.00173032407407414
35	0.76	0.762424768518519	0.765833333333333	-0.00340856481481481	-0.00242476851851858
36	0.76	0.763119212962963	0.7675	-0.00438078703703704	-0.00311921296296302
37	0.76	0.763813657407407	0.769166666666667	-0.00535300925925926	-0.00381365740740736
38	0.78	0.776174768518519	0.770833333333333	0.00534143518518521	0.00382523148148139
39	0.78	0.776869212962963	0.7725	0.00436921296296298	0.00313078703703706
40	0.78	0.777563657407407	0.774166666666667	0.00339699074074074	0.00243634259259262
41	0.78	0.778258101851852	0.775833333333333	0.00242476851851851	0.00174189814814829
42	0.78	0.778952546296296	0.7775	0.00145254629629628	0.00104745370370385
43	0.78	0.779716435185185	0.779166666666666	0.00054976851851853	0.000283564814815063
44	0.78	0.779508101851852	0.78	-0.00049189814814817	0.000491898148148429
45	0.78	0.77853587962963	0.78	-0.00146412037037038	0.00146412037037058
46	0.78	0.777563657407407	0.78	-0.00243634259259259	0.00243634259259284
47	0.78	0.776591435185185	0.78	-0.00340856481481481	0.00340856481481500
48	0.78	0.775619212962963	0.78	-0.00438078703703704	0.00438078703703726
49	0.78	0.77464699074074	0.78	-0.00535300925925926	0.00535300925925952
50	0.78	0.785341435185185	0.78	0.00534143518518521	-0.00534143518518504
51	0.78	0.784369212962963	0.78	0.00436921296296298	-0.00436921296296278
52	0.78	0.78339699074074	0.78	0.00339699074074074	-0.00339699074074051
53	0.78	0.782424768518518	0.78	0.00242476851851851	-0.00242476851851825
54	0.78	0.781452546296296	0.78	0.00145254629629628	-0.00145254629629610
55	0.78	0.780549768518518	0.78	0.00054976851851853	-0.00054976851851829
56	0.78	0.780341435185185	0.780833333333333	-0.00049189814814817	-0.000341435185185035
57	0.78	0.78103587962963	0.7825	-0.00146412037037038	-0.00103587962962959
58	0.78	0.781730324074074	0.784166666666666	-0.00243634259259259	-0.00173032407407381
59	0.78	0.782424768518518	0.785833333333333	-0.00340856481481481	-0.00242476851851836
60	0.78	0.783119212962963	0.7875	-0.00438078703703704	-0.0031192129629628
61	0.78	0.783813657407407	0.789166666666667	-0.00535300925925926	-0.00381365740740724
62	0.8	0.796174768518518	0.790833333333333	0.00534143518518521	0.00382523148148173
63	0.8	0.796869212962963	0.7925	0.00436921296296298	0.00313078703703729
64	0.8	0.797563657407407	0.794166666666666	0.00339699074074074	0.00243634259259284
65	0.8	0.798258101851852	0.795833333333333	0.00242476851851851	0.00174189814814840
66	0.8	0.798952546296296	0.7975	0.00145254629629628	0.00104745370370385
67	0.8	0.799716435185185	0.799166666666667	0.00054976851851853	0.000283564814814952
68	0.8	0.799924768518518	0.800416666666667	-0.00049189814814817	7.52314814816968e-05
69	0.8	0.79978587962963	0.80125	-0.00146412037037038	0.000214120370370496
70	0.8	0.79964699074074	0.802083333333333	-0.00243634259259259	0.000353009259259407
71	0.8	0.799508101851852	0.802916666666667	-0.00340856481481481	0.000491898148148207
72	0.8	0.799369212962963	0.80375	-0.00438078703703704	0.000630787037037117
73	0.8	0.799230324074074	0.804583333333333	-0.00535300925925926	0.000769675925926028
74	0.81	0.810758101851852	0.805416666666667	0.00534143518518521	-0.000758101851851878
75	0.81	0.810619212962963	0.80625	0.00436921296296298	-0.000619212962962967
76	0.81	0.810480324074074	0.807083333333333	0.00339699074074074	-0.000480324074074057
77	0.81	0.810341435185185	0.807916666666667	0.00242476851851851	-0.000341435185185146
78	0.81	0.810202546296296	0.80875	0.00145254629629628	-0.000202546296296346
79	0.81	NA	NA	0.00054976851851853	NA
80	0.81	NA	NA	-0.00049189814814817	NA
81	0.81	NA	NA	-0.00146412037037038	NA
82	0.81	NA	NA	-0.00243634259259259	NA
83	0.81	NA	NA	-0.00340856481481481	NA
84	0.81	NA	NA	-0.00438078703703704	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