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*Unverified author*

R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Mon, 26 May 2008 23:50:22 -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/2008/May/27/t1211867461gj2yogr61mh22s4.htm/, Retrieved Sun, 19 May 2024 09:09:28 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=13319, Retrieved Sun, 19 May 2024 09:09:28 +0000

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No (this computation is public)

User-defined keywords

additieve???

Estimated Impact

195

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

-       [Classical Decomposition] [opgave 9 -2] [2008-05-27 05:50:22] [c9bf5568159d8509e7e610a13d84f161] [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	6 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 & 6 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13319&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]6 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=13319&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13319&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	6 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	0.58	NA	NA	-0.0042939814814815	NA
2	0.58	NA	NA	0.00174768518518517	NA
3	0.59	NA	NA	0.00278935185185181	NA
4	0.6	NA	NA	0.0055671296296296	NA
5	0.6	NA	NA	0.00320601851851854	NA
6	0.61	NA	NA	0.00077546296296296	NA
7	0.62	0.607164351851852	0.60875	-0.00158564814814813	0.0128356481481481
8	0.61	0.613900462962963	0.612916666666667	0.000983796296296288	-0.00390046296296309
9	0.62	0.613483796296296	0.616666666666667	-0.00318287037037036	0.00651620370370365
10	0.62	0.617233796296296	0.619583333333333	-0.00234953703703703	0.00276620370370362
11	0.62	0.622303240740741	0.622083333333333	0.000219907407407446	-0.00230324074074073
12	0.63	0.620289351851852	0.624166666666667	-0.00387731481481479	0.00971064814814826
13	0.63	0.621122685185185	0.625416666666667	-0.0042939814814815	0.0088773148148149
14	0.63	0.628831018518518	0.627083333333333	0.00174768518518517	0.00116898148148159
15	0.63	0.631539351851852	0.62875	0.00278935185185181	-0.00153935185185172
16	0.63	0.635150462962963	0.629583333333333	0.0055671296296296	-0.00515046296296284
17	0.63	0.633622685185185	0.630416666666667	0.00320601851851854	-0.00362268518518516
18	0.63	0.631608796296296	0.630833333333333	0.00077546296296296	-0.00160879629629618
19	0.63	0.629247685185185	0.630833333333333	-0.00158564814814813	0.000752314814814858
20	0.64	0.632233796296296	0.63125	0.000983796296296288	0.00776620370370373
21	0.63	0.62931712962963	0.6325	-0.00318287037037036	0.000682870370370403
22	0.63	0.63181712962963	0.634166666666667	-0.00234953703703703	-0.00181712962962965
23	0.63	0.636053240740741	0.635833333333333	0.000219907407407446	-0.00605324074074065
24	0.63	0.633622685185185	0.6375	-0.00387731481481479	-0.00362268518518516
25	0.63	0.634872685185185	0.639166666666667	-0.0042939814814815	-0.00487268518518513
26	0.64	0.642581018518518	0.640833333333333	0.00174768518518517	-0.00258101851851844
27	0.65	0.645289351851852	0.6425	0.00278935185185181	0.00471064814814826
28	0.65	0.650150462962963	0.644583333333333	0.0055671296296296	-0.000150462962962949
29	0.65	0.650289351851852	0.647083333333333	0.00320601851851854	-0.00028935185185186
30	0.65	0.650358796296296	0.649583333333333	0.00077546296296296	-0.000358796296296315
31	0.65	0.650497685185185	0.652083333333333	-0.00158564814814813	-0.000497685185185337
32	0.66	0.655983796296296	0.655	0.000983796296296288	0.0040162037037037
33	0.65	0.655150462962963	0.658333333333333	-0.00318287037037036	-0.00515046296296306
34	0.66	0.659733796296296	0.662083333333333	-0.00234953703703703	0.000266203703703671
35	0.66	0.666886574074074	0.666666666666667	0.000219907407407446	-0.00688657407407411
36	0.66	0.667789351851852	0.671666666666667	-0.00387731481481479	-0.00778935185185192
37	0.66	0.671956018518518	0.67625	-0.0042939814814815	-0.0119560185185185
38	0.68	0.681747685185185	0.68	0.00174768518518517	-0.0017476851851852
39	0.69	0.686539351851852	0.68375	0.00278935185185181	0.00346064814814806
40	0.7	0.69306712962963	0.6875	0.0055671296296296	0.00693287037037027
41	0.71	0.694456018518519	0.69125	0.00320601851851854	0.0155439814814814
42	0.71	0.695775462962963	0.695	0.00077546296296296	0.0142245370370371
43	0.7	0.696747685185185	0.698333333333333	-0.00158564814814813	0.00325231481481481
44	0.7	0.70181712962963	0.700833333333333	0.000983796296296288	-0.00181712962962965
45	0.7	0.698483796296296	0.701666666666667	-0.00318287037037036	0.00151620370370364
46	0.7	0.69931712962963	0.701666666666667	-0.00234953703703703	0.000682870370370181
47	0.71	0.701053240740741	0.700833333333333	0.000219907407407446	0.00894675925925925
48	0.7	0.695289351851852	0.699166666666667	-0.00387731481481479	0.00471064814814814
49	0.7	0.693622685185185	0.697916666666667	-0.0042939814814815	0.00637731481481485
50	0.7	0.699247685185185	0.6975	0.00174768518518517	0.000752314814814636
51	0.69	0.700289351851852	0.6975	0.00278935185185181	-0.0102893518518520
52	0.7	0.703483796296296	0.697916666666667	0.0055671296296296	-0.00348379629629636
53	0.69	0.701539351851852	0.698333333333333	0.00320601851851854	-0.0115393518518518
54	0.69	0.699525462962963	0.69875	0.00077546296296296	-0.00952546296296297
55	0.69	0.698414351851852	0.7	-0.00158564814814813	-0.0084143518518519
56	0.7	0.70306712962963	0.702083333333333	0.000983796296296288	-0.00306712962962974
57	0.7	0.702233796296296	0.705416666666667	-0.00318287037037036	-0.00223379629629628
58	0.71	0.70681712962963	0.709166666666667	-0.00234953703703703	0.00318287037037035
59	0.71	0.713136574074074	0.712916666666667	0.000219907407407446	-0.00313657407407408
60	0.71	0.713206018518519	0.717083333333333	-0.00387731481481479	-0.00320601851851854
61	0.72	0.717372685185185	0.721666666666667	-0.0042939814814815	0.00262731481481482
62	0.73	0.727997685185185	0.72625	0.00174768518518517	0.00200231481481472
63	0.74	0.733622685185185	0.730833333333333	0.00278935185185181	0.00637731481481474
64	0.74	0.740983796296296	0.735416666666667	0.0055671296296296	-0.000983796296296191
65	0.74	0.742789351851852	0.739583333333333	0.00320601851851854	-0.00278935185185170
66	0.74	0.744525462962963	0.74375	0.00077546296296296	-0.00452546296296286
67	0.75	0.745914351851852	0.7475	-0.00158564814814813	0.00408564814814816
68	0.75	0.75181712962963	0.750833333333333	0.000983796296296288	-0.00181712962962954
69	0.76	0.75056712962963	0.75375	-0.00318287037037036	0.00943287037037033
70	0.76	0.75431712962963	0.756666666666667	-0.00234953703703703	0.0056828703703703
71	0.76	0.760219907407408	0.76	0.000219907407407446	-0.000219907407407516
72	0.76	0.759456018518519	0.763333333333333	-0.00387731481481479	0.000543981481481381
73	0.76	0.761956018518519	0.76625	-0.0042939814814815	-0.00195601851851857
74	0.77	0.770497685185185	0.76875	0.00174768518518517	-0.000497685185185226
75	0.77	0.773622685185185	0.770833333333333	0.00278935185185181	-0.00362268518518505
76	0.78	0.77806712962963	0.7725	0.0055671296296296	0.00193287037037049
77	0.78	0.778206018518519	0.775	0.00320601851851854	0.00179398148148147
78	0.78	0.779108796296296	0.778333333333333	0.00077546296296296	0.000891203703703658
79	0.78	0.780081018518519	0.781666666666667	-0.00158564814814813	-8.10185185184942e-05
80	0.78	0.785983796296296	0.785	0.000983796296296288	-0.00598379629629631
81	0.78	0.785150462962963	0.788333333333333	-0.00318287037037036	-0.00515046296296284
82	0.78	0.788900462962963	0.79125	-0.00234953703703703	-0.00890046296296276
83	0.8	0.79355324074074	0.793333333333333	0.000219907407407446	0.00644675925925964
84	0.8	0.791539351851852	0.795416666666666	-0.00387731481481479	0.0084606481481484
85	0.8	0.793622685185185	0.797916666666667	-0.0042939814814815	0.00637731481481496
86	0.81	0.802164351851852	0.800416666666667	0.00174768518518517	0.0078356481481483
87	0.81	0.805289351851852	0.8025	0.00278935185185181	0.00471064814814826
88	0.81	0.81056712962963	0.805	0.0055671296296296	-0.000567129629629459
89	0.8	0.811122685185185	0.807916666666667	0.00320601851851854	-0.0111226851851851
90	0.81	0.81119212962963	0.810416666666667	0.00077546296296296	-0.00119212962962956
91	0.81	NA	NA	-0.00158564814814813	NA
92	0.81	NA	NA	0.000983796296296288	NA
93	0.8	NA	NA	-0.00318287037037036	NA
94	0.82	NA	NA	-0.00234953703703703	NA
95	0.83	NA	NA	0.000219907407407446	NA
96	0.83	NA	NA	-0.00387731481481479	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 0.58 & NA & NA & -0.0042939814814815 & NA \tabularnewline
2 & 0.58 & NA & NA & 0.00174768518518517 & NA \tabularnewline
3 & 0.59 & NA & NA & 0.00278935185185181 & NA \tabularnewline
4 & 0.6 & NA & NA & 0.0055671296296296 & NA \tabularnewline
5 & 0.6 & NA & NA & 0.00320601851851854 & NA \tabularnewline
6 & 0.61 & NA & NA & 0.00077546296296296 & NA \tabularnewline
7 & 0.62 & 0.607164351851852 & 0.60875 & -0.00158564814814813 & 0.0128356481481481 \tabularnewline
8 & 0.61 & 0.613900462962963 & 0.612916666666667 & 0.000983796296296288 & -0.00390046296296309 \tabularnewline
9 & 0.62 & 0.613483796296296 & 0.616666666666667 & -0.00318287037037036 & 0.00651620370370365 \tabularnewline
10 & 0.62 & 0.617233796296296 & 0.619583333333333 & -0.00234953703703703 & 0.00276620370370362 \tabularnewline
11 & 0.62 & 0.622303240740741 & 0.622083333333333 & 0.000219907407407446 & -0.00230324074074073 \tabularnewline
12 & 0.63 & 0.620289351851852 & 0.624166666666667 & -0.00387731481481479 & 0.00971064814814826 \tabularnewline
13 & 0.63 & 0.621122685185185 & 0.625416666666667 & -0.0042939814814815 & 0.0088773148148149 \tabularnewline
14 & 0.63 & 0.628831018518518 & 0.627083333333333 & 0.00174768518518517 & 0.00116898148148159 \tabularnewline
15 & 0.63 & 0.631539351851852 & 0.62875 & 0.00278935185185181 & -0.00153935185185172 \tabularnewline
16 & 0.63 & 0.635150462962963 & 0.629583333333333 & 0.0055671296296296 & -0.00515046296296284 \tabularnewline
17 & 0.63 & 0.633622685185185 & 0.630416666666667 & 0.00320601851851854 & -0.00362268518518516 \tabularnewline
18 & 0.63 & 0.631608796296296 & 0.630833333333333 & 0.00077546296296296 & -0.00160879629629618 \tabularnewline
19 & 0.63 & 0.629247685185185 & 0.630833333333333 & -0.00158564814814813 & 0.000752314814814858 \tabularnewline
20 & 0.64 & 0.632233796296296 & 0.63125 & 0.000983796296296288 & 0.00776620370370373 \tabularnewline
21 & 0.63 & 0.62931712962963 & 0.6325 & -0.00318287037037036 & 0.000682870370370403 \tabularnewline
22 & 0.63 & 0.63181712962963 & 0.634166666666667 & -0.00234953703703703 & -0.00181712962962965 \tabularnewline
23 & 0.63 & 0.636053240740741 & 0.635833333333333 & 0.000219907407407446 & -0.00605324074074065 \tabularnewline
24 & 0.63 & 0.633622685185185 & 0.6375 & -0.00387731481481479 & -0.00362268518518516 \tabularnewline
25 & 0.63 & 0.634872685185185 & 0.639166666666667 & -0.0042939814814815 & -0.00487268518518513 \tabularnewline
26 & 0.64 & 0.642581018518518 & 0.640833333333333 & 0.00174768518518517 & -0.00258101851851844 \tabularnewline
27 & 0.65 & 0.645289351851852 & 0.6425 & 0.00278935185185181 & 0.00471064814814826 \tabularnewline
28 & 0.65 & 0.650150462962963 & 0.644583333333333 & 0.0055671296296296 & -0.000150462962962949 \tabularnewline
29 & 0.65 & 0.650289351851852 & 0.647083333333333 & 0.00320601851851854 & -0.00028935185185186 \tabularnewline
30 & 0.65 & 0.650358796296296 & 0.649583333333333 & 0.00077546296296296 & -0.000358796296296315 \tabularnewline
31 & 0.65 & 0.650497685185185 & 0.652083333333333 & -0.00158564814814813 & -0.000497685185185337 \tabularnewline
32 & 0.66 & 0.655983796296296 & 0.655 & 0.000983796296296288 & 0.0040162037037037 \tabularnewline
33 & 0.65 & 0.655150462962963 & 0.658333333333333 & -0.00318287037037036 & -0.00515046296296306 \tabularnewline
34 & 0.66 & 0.659733796296296 & 0.662083333333333 & -0.00234953703703703 & 0.000266203703703671 \tabularnewline
35 & 0.66 & 0.666886574074074 & 0.666666666666667 & 0.000219907407407446 & -0.00688657407407411 \tabularnewline
36 & 0.66 & 0.667789351851852 & 0.671666666666667 & -0.00387731481481479 & -0.00778935185185192 \tabularnewline
37 & 0.66 & 0.671956018518518 & 0.67625 & -0.0042939814814815 & -0.0119560185185185 \tabularnewline
38 & 0.68 & 0.681747685185185 & 0.68 & 0.00174768518518517 & -0.0017476851851852 \tabularnewline
39 & 0.69 & 0.686539351851852 & 0.68375 & 0.00278935185185181 & 0.00346064814814806 \tabularnewline
40 & 0.7 & 0.69306712962963 & 0.6875 & 0.0055671296296296 & 0.00693287037037027 \tabularnewline
41 & 0.71 & 0.694456018518519 & 0.69125 & 0.00320601851851854 & 0.0155439814814814 \tabularnewline
42 & 0.71 & 0.695775462962963 & 0.695 & 0.00077546296296296 & 0.0142245370370371 \tabularnewline
43 & 0.7 & 0.696747685185185 & 0.698333333333333 & -0.00158564814814813 & 0.00325231481481481 \tabularnewline
44 & 0.7 & 0.70181712962963 & 0.700833333333333 & 0.000983796296296288 & -0.00181712962962965 \tabularnewline
45 & 0.7 & 0.698483796296296 & 0.701666666666667 & -0.00318287037037036 & 0.00151620370370364 \tabularnewline
46 & 0.7 & 0.69931712962963 & 0.701666666666667 & -0.00234953703703703 & 0.000682870370370181 \tabularnewline
47 & 0.71 & 0.701053240740741 & 0.700833333333333 & 0.000219907407407446 & 0.00894675925925925 \tabularnewline
48 & 0.7 & 0.695289351851852 & 0.699166666666667 & -0.00387731481481479 & 0.00471064814814814 \tabularnewline
49 & 0.7 & 0.693622685185185 & 0.697916666666667 & -0.0042939814814815 & 0.00637731481481485 \tabularnewline
50 & 0.7 & 0.699247685185185 & 0.6975 & 0.00174768518518517 & 0.000752314814814636 \tabularnewline
51 & 0.69 & 0.700289351851852 & 0.6975 & 0.00278935185185181 & -0.0102893518518520 \tabularnewline
52 & 0.7 & 0.703483796296296 & 0.697916666666667 & 0.0055671296296296 & -0.00348379629629636 \tabularnewline
53 & 0.69 & 0.701539351851852 & 0.698333333333333 & 0.00320601851851854 & -0.0115393518518518 \tabularnewline
54 & 0.69 & 0.699525462962963 & 0.69875 & 0.00077546296296296 & -0.00952546296296297 \tabularnewline
55 & 0.69 & 0.698414351851852 & 0.7 & -0.00158564814814813 & -0.0084143518518519 \tabularnewline
56 & 0.7 & 0.70306712962963 & 0.702083333333333 & 0.000983796296296288 & -0.00306712962962974 \tabularnewline
57 & 0.7 & 0.702233796296296 & 0.705416666666667 & -0.00318287037037036 & -0.00223379629629628 \tabularnewline
58 & 0.71 & 0.70681712962963 & 0.709166666666667 & -0.00234953703703703 & 0.00318287037037035 \tabularnewline
59 & 0.71 & 0.713136574074074 & 0.712916666666667 & 0.000219907407407446 & -0.00313657407407408 \tabularnewline
60 & 0.71 & 0.713206018518519 & 0.717083333333333 & -0.00387731481481479 & -0.00320601851851854 \tabularnewline
61 & 0.72 & 0.717372685185185 & 0.721666666666667 & -0.0042939814814815 & 0.00262731481481482 \tabularnewline
62 & 0.73 & 0.727997685185185 & 0.72625 & 0.00174768518518517 & 0.00200231481481472 \tabularnewline
63 & 0.74 & 0.733622685185185 & 0.730833333333333 & 0.00278935185185181 & 0.00637731481481474 \tabularnewline
64 & 0.74 & 0.740983796296296 & 0.735416666666667 & 0.0055671296296296 & -0.000983796296296191 \tabularnewline
65 & 0.74 & 0.742789351851852 & 0.739583333333333 & 0.00320601851851854 & -0.00278935185185170 \tabularnewline
66 & 0.74 & 0.744525462962963 & 0.74375 & 0.00077546296296296 & -0.00452546296296286 \tabularnewline
67 & 0.75 & 0.745914351851852 & 0.7475 & -0.00158564814814813 & 0.00408564814814816 \tabularnewline
68 & 0.75 & 0.75181712962963 & 0.750833333333333 & 0.000983796296296288 & -0.00181712962962954 \tabularnewline
69 & 0.76 & 0.75056712962963 & 0.75375 & -0.00318287037037036 & 0.00943287037037033 \tabularnewline
70 & 0.76 & 0.75431712962963 & 0.756666666666667 & -0.00234953703703703 & 0.0056828703703703 \tabularnewline
71 & 0.76 & 0.760219907407408 & 0.76 & 0.000219907407407446 & -0.000219907407407516 \tabularnewline
72 & 0.76 & 0.759456018518519 & 0.763333333333333 & -0.00387731481481479 & 0.000543981481481381 \tabularnewline
73 & 0.76 & 0.761956018518519 & 0.76625 & -0.0042939814814815 & -0.00195601851851857 \tabularnewline
74 & 0.77 & 0.770497685185185 & 0.76875 & 0.00174768518518517 & -0.000497685185185226 \tabularnewline
75 & 0.77 & 0.773622685185185 & 0.770833333333333 & 0.00278935185185181 & -0.00362268518518505 \tabularnewline
76 & 0.78 & 0.77806712962963 & 0.7725 & 0.0055671296296296 & 0.00193287037037049 \tabularnewline
77 & 0.78 & 0.778206018518519 & 0.775 & 0.00320601851851854 & 0.00179398148148147 \tabularnewline
78 & 0.78 & 0.779108796296296 & 0.778333333333333 & 0.00077546296296296 & 0.000891203703703658 \tabularnewline
79 & 0.78 & 0.780081018518519 & 0.781666666666667 & -0.00158564814814813 & -8.10185185184942e-05 \tabularnewline
80 & 0.78 & 0.785983796296296 & 0.785 & 0.000983796296296288 & -0.00598379629629631 \tabularnewline
81 & 0.78 & 0.785150462962963 & 0.788333333333333 & -0.00318287037037036 & -0.00515046296296284 \tabularnewline
82 & 0.78 & 0.788900462962963 & 0.79125 & -0.00234953703703703 & -0.00890046296296276 \tabularnewline
83 & 0.8 & 0.79355324074074 & 0.793333333333333 & 0.000219907407407446 & 0.00644675925925964 \tabularnewline
84 & 0.8 & 0.791539351851852 & 0.795416666666666 & -0.00387731481481479 & 0.0084606481481484 \tabularnewline
85 & 0.8 & 0.793622685185185 & 0.797916666666667 & -0.0042939814814815 & 0.00637731481481496 \tabularnewline
86 & 0.81 & 0.802164351851852 & 0.800416666666667 & 0.00174768518518517 & 0.0078356481481483 \tabularnewline
87 & 0.81 & 0.805289351851852 & 0.8025 & 0.00278935185185181 & 0.00471064814814826 \tabularnewline
88 & 0.81 & 0.81056712962963 & 0.805 & 0.0055671296296296 & -0.000567129629629459 \tabularnewline
89 & 0.8 & 0.811122685185185 & 0.807916666666667 & 0.00320601851851854 & -0.0111226851851851 \tabularnewline
90 & 0.81 & 0.81119212962963 & 0.810416666666667 & 0.00077546296296296 & -0.00119212962962956 \tabularnewline
91 & 0.81 & NA & NA & -0.00158564814814813 & NA \tabularnewline
92 & 0.81 & NA & NA & 0.000983796296296288 & NA \tabularnewline
93 & 0.8 & NA & NA & -0.00318287037037036 & NA \tabularnewline
94 & 0.82 & NA & NA & -0.00234953703703703 & NA \tabularnewline
95 & 0.83 & NA & NA & 0.000219907407407446 & NA \tabularnewline
96 & 0.83 & NA & NA & -0.00387731481481479 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13319&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]0.58[/C][C]NA[/C][C]NA[/C][C]-0.0042939814814815[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]0.58[/C][C]NA[/C][C]NA[/C][C]0.00174768518518517[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]0.59[/C][C]NA[/C][C]NA[/C][C]0.00278935185185181[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]0.6[/C][C]NA[/C][C]NA[/C][C]0.0055671296296296[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]0.6[/C][C]NA[/C][C]NA[/C][C]0.00320601851851854[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]0.61[/C][C]NA[/C][C]NA[/C][C]0.00077546296296296[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]0.62[/C][C]0.607164351851852[/C][C]0.60875[/C][C]-0.00158564814814813[/C][C]0.0128356481481481[/C][/ROW]
[ROW][C]8[/C][C]0.61[/C][C]0.613900462962963[/C][C]0.612916666666667[/C][C]0.000983796296296288[/C][C]-0.00390046296296309[/C][/ROW]
[ROW][C]9[/C][C]0.62[/C][C]0.613483796296296[/C][C]0.616666666666667[/C][C]-0.00318287037037036[/C][C]0.00651620370370365[/C][/ROW]
[ROW][C]10[/C][C]0.62[/C][C]0.617233796296296[/C][C]0.619583333333333[/C][C]-0.00234953703703703[/C][C]0.00276620370370362[/C][/ROW]
[ROW][C]11[/C][C]0.62[/C][C]0.622303240740741[/C][C]0.622083333333333[/C][C]0.000219907407407446[/C][C]-0.00230324074074073[/C][/ROW]
[ROW][C]12[/C][C]0.63[/C][C]0.620289351851852[/C][C]0.624166666666667[/C][C]-0.00387731481481479[/C][C]0.00971064814814826[/C][/ROW]
[ROW][C]13[/C][C]0.63[/C][C]0.621122685185185[/C][C]0.625416666666667[/C][C]-0.0042939814814815[/C][C]0.0088773148148149[/C][/ROW]
[ROW][C]14[/C][C]0.63[/C][C]0.628831018518518[/C][C]0.627083333333333[/C][C]0.00174768518518517[/C][C]0.00116898148148159[/C][/ROW]
[ROW][C]15[/C][C]0.63[/C][C]0.631539351851852[/C][C]0.62875[/C][C]0.00278935185185181[/C][C]-0.00153935185185172[/C][/ROW]
[ROW][C]16[/C][C]0.63[/C][C]0.635150462962963[/C][C]0.629583333333333[/C][C]0.0055671296296296[/C][C]-0.00515046296296284[/C][/ROW]
[ROW][C]17[/C][C]0.63[/C][C]0.633622685185185[/C][C]0.630416666666667[/C][C]0.00320601851851854[/C][C]-0.00362268518518516[/C][/ROW]
[ROW][C]18[/C][C]0.63[/C][C]0.631608796296296[/C][C]0.630833333333333[/C][C]0.00077546296296296[/C][C]-0.00160879629629618[/C][/ROW]
[ROW][C]19[/C][C]0.63[/C][C]0.629247685185185[/C][C]0.630833333333333[/C][C]-0.00158564814814813[/C][C]0.000752314814814858[/C][/ROW]
[ROW][C]20[/C][C]0.64[/C][C]0.632233796296296[/C][C]0.63125[/C][C]0.000983796296296288[/C][C]0.00776620370370373[/C][/ROW]
[ROW][C]21[/C][C]0.63[/C][C]0.62931712962963[/C][C]0.6325[/C][C]-0.00318287037037036[/C][C]0.000682870370370403[/C][/ROW]
[ROW][C]22[/C][C]0.63[/C][C]0.63181712962963[/C][C]0.634166666666667[/C][C]-0.00234953703703703[/C][C]-0.00181712962962965[/C][/ROW]
[ROW][C]23[/C][C]0.63[/C][C]0.636053240740741[/C][C]0.635833333333333[/C][C]0.000219907407407446[/C][C]-0.00605324074074065[/C][/ROW]
[ROW][C]24[/C][C]0.63[/C][C]0.633622685185185[/C][C]0.6375[/C][C]-0.00387731481481479[/C][C]-0.00362268518518516[/C][/ROW]
[ROW][C]25[/C][C]0.63[/C][C]0.634872685185185[/C][C]0.639166666666667[/C][C]-0.0042939814814815[/C][C]-0.00487268518518513[/C][/ROW]
[ROW][C]26[/C][C]0.64[/C][C]0.642581018518518[/C][C]0.640833333333333[/C][C]0.00174768518518517[/C][C]-0.00258101851851844[/C][/ROW]
[ROW][C]27[/C][C]0.65[/C][C]0.645289351851852[/C][C]0.6425[/C][C]0.00278935185185181[/C][C]0.00471064814814826[/C][/ROW]
[ROW][C]28[/C][C]0.65[/C][C]0.650150462962963[/C][C]0.644583333333333[/C][C]0.0055671296296296[/C][C]-0.000150462962962949[/C][/ROW]
[ROW][C]29[/C][C]0.65[/C][C]0.650289351851852[/C][C]0.647083333333333[/C][C]0.00320601851851854[/C][C]-0.00028935185185186[/C][/ROW]
[ROW][C]30[/C][C]0.65[/C][C]0.650358796296296[/C][C]0.649583333333333[/C][C]0.00077546296296296[/C][C]-0.000358796296296315[/C][/ROW]
[ROW][C]31[/C][C]0.65[/C][C]0.650497685185185[/C][C]0.652083333333333[/C][C]-0.00158564814814813[/C][C]-0.000497685185185337[/C][/ROW]
[ROW][C]32[/C][C]0.66[/C][C]0.655983796296296[/C][C]0.655[/C][C]0.000983796296296288[/C][C]0.0040162037037037[/C][/ROW]
[ROW][C]33[/C][C]0.65[/C][C]0.655150462962963[/C][C]0.658333333333333[/C][C]-0.00318287037037036[/C][C]-0.00515046296296306[/C][/ROW]
[ROW][C]34[/C][C]0.66[/C][C]0.659733796296296[/C][C]0.662083333333333[/C][C]-0.00234953703703703[/C][C]0.000266203703703671[/C][/ROW]
[ROW][C]35[/C][C]0.66[/C][C]0.666886574074074[/C][C]0.666666666666667[/C][C]0.000219907407407446[/C][C]-0.00688657407407411[/C][/ROW]
[ROW][C]36[/C][C]0.66[/C][C]0.667789351851852[/C][C]0.671666666666667[/C][C]-0.00387731481481479[/C][C]-0.00778935185185192[/C][/ROW]
[ROW][C]37[/C][C]0.66[/C][C]0.671956018518518[/C][C]0.67625[/C][C]-0.0042939814814815[/C][C]-0.0119560185185185[/C][/ROW]
[ROW][C]38[/C][C]0.68[/C][C]0.681747685185185[/C][C]0.68[/C][C]0.00174768518518517[/C][C]-0.0017476851851852[/C][/ROW]
[ROW][C]39[/C][C]0.69[/C][C]0.686539351851852[/C][C]0.68375[/C][C]0.00278935185185181[/C][C]0.00346064814814806[/C][/ROW]
[ROW][C]40[/C][C]0.7[/C][C]0.69306712962963[/C][C]0.6875[/C][C]0.0055671296296296[/C][C]0.00693287037037027[/C][/ROW]
[ROW][C]41[/C][C]0.71[/C][C]0.694456018518519[/C][C]0.69125[/C][C]0.00320601851851854[/C][C]0.0155439814814814[/C][/ROW]
[ROW][C]42[/C][C]0.71[/C][C]0.695775462962963[/C][C]0.695[/C][C]0.00077546296296296[/C][C]0.0142245370370371[/C][/ROW]
[ROW][C]43[/C][C]0.7[/C][C]0.696747685185185[/C][C]0.698333333333333[/C][C]-0.00158564814814813[/C][C]0.00325231481481481[/C][/ROW]
[ROW][C]44[/C][C]0.7[/C][C]0.70181712962963[/C][C]0.700833333333333[/C][C]0.000983796296296288[/C][C]-0.00181712962962965[/C][/ROW]
[ROW][C]45[/C][C]0.7[/C][C]0.698483796296296[/C][C]0.701666666666667[/C][C]-0.00318287037037036[/C][C]0.00151620370370364[/C][/ROW]
[ROW][C]46[/C][C]0.7[/C][C]0.69931712962963[/C][C]0.701666666666667[/C][C]-0.00234953703703703[/C][C]0.000682870370370181[/C][/ROW]
[ROW][C]47[/C][C]0.71[/C][C]0.701053240740741[/C][C]0.700833333333333[/C][C]0.000219907407407446[/C][C]0.00894675925925925[/C][/ROW]
[ROW][C]48[/C][C]0.7[/C][C]0.695289351851852[/C][C]0.699166666666667[/C][C]-0.00387731481481479[/C][C]0.00471064814814814[/C][/ROW]
[ROW][C]49[/C][C]0.7[/C][C]0.693622685185185[/C][C]0.697916666666667[/C][C]-0.0042939814814815[/C][C]0.00637731481481485[/C][/ROW]
[ROW][C]50[/C][C]0.7[/C][C]0.699247685185185[/C][C]0.6975[/C][C]0.00174768518518517[/C][C]0.000752314814814636[/C][/ROW]
[ROW][C]51[/C][C]0.69[/C][C]0.700289351851852[/C][C]0.6975[/C][C]0.00278935185185181[/C][C]-0.0102893518518520[/C][/ROW]
[ROW][C]52[/C][C]0.7[/C][C]0.703483796296296[/C][C]0.697916666666667[/C][C]0.0055671296296296[/C][C]-0.00348379629629636[/C][/ROW]
[ROW][C]53[/C][C]0.69[/C][C]0.701539351851852[/C][C]0.698333333333333[/C][C]0.00320601851851854[/C][C]-0.0115393518518518[/C][/ROW]
[ROW][C]54[/C][C]0.69[/C][C]0.699525462962963[/C][C]0.69875[/C][C]0.00077546296296296[/C][C]-0.00952546296296297[/C][/ROW]
[ROW][C]55[/C][C]0.69[/C][C]0.698414351851852[/C][C]0.7[/C][C]-0.00158564814814813[/C][C]-0.0084143518518519[/C][/ROW]
[ROW][C]56[/C][C]0.7[/C][C]0.70306712962963[/C][C]0.702083333333333[/C][C]0.000983796296296288[/C][C]-0.00306712962962974[/C][/ROW]
[ROW][C]57[/C][C]0.7[/C][C]0.702233796296296[/C][C]0.705416666666667[/C][C]-0.00318287037037036[/C][C]-0.00223379629629628[/C][/ROW]
[ROW][C]58[/C][C]0.71[/C][C]0.70681712962963[/C][C]0.709166666666667[/C][C]-0.00234953703703703[/C][C]0.00318287037037035[/C][/ROW]
[ROW][C]59[/C][C]0.71[/C][C]0.713136574074074[/C][C]0.712916666666667[/C][C]0.000219907407407446[/C][C]-0.00313657407407408[/C][/ROW]
[ROW][C]60[/C][C]0.71[/C][C]0.713206018518519[/C][C]0.717083333333333[/C][C]-0.00387731481481479[/C][C]-0.00320601851851854[/C][/ROW]
[ROW][C]61[/C][C]0.72[/C][C]0.717372685185185[/C][C]0.721666666666667[/C][C]-0.0042939814814815[/C][C]0.00262731481481482[/C][/ROW]
[ROW][C]62[/C][C]0.73[/C][C]0.727997685185185[/C][C]0.72625[/C][C]0.00174768518518517[/C][C]0.00200231481481472[/C][/ROW]
[ROW][C]63[/C][C]0.74[/C][C]0.733622685185185[/C][C]0.730833333333333[/C][C]0.00278935185185181[/C][C]0.00637731481481474[/C][/ROW]
[ROW][C]64[/C][C]0.74[/C][C]0.740983796296296[/C][C]0.735416666666667[/C][C]0.0055671296296296[/C][C]-0.000983796296296191[/C][/ROW]
[ROW][C]65[/C][C]0.74[/C][C]0.742789351851852[/C][C]0.739583333333333[/C][C]0.00320601851851854[/C][C]-0.00278935185185170[/C][/ROW]
[ROW][C]66[/C][C]0.74[/C][C]0.744525462962963[/C][C]0.74375[/C][C]0.00077546296296296[/C][C]-0.00452546296296286[/C][/ROW]
[ROW][C]67[/C][C]0.75[/C][C]0.745914351851852[/C][C]0.7475[/C][C]-0.00158564814814813[/C][C]0.00408564814814816[/C][/ROW]
[ROW][C]68[/C][C]0.75[/C][C]0.75181712962963[/C][C]0.750833333333333[/C][C]0.000983796296296288[/C][C]-0.00181712962962954[/C][/ROW]
[ROW][C]69[/C][C]0.76[/C][C]0.75056712962963[/C][C]0.75375[/C][C]-0.00318287037037036[/C][C]0.00943287037037033[/C][/ROW]
[ROW][C]70[/C][C]0.76[/C][C]0.75431712962963[/C][C]0.756666666666667[/C][C]-0.00234953703703703[/C][C]0.0056828703703703[/C][/ROW]
[ROW][C]71[/C][C]0.76[/C][C]0.760219907407408[/C][C]0.76[/C][C]0.000219907407407446[/C][C]-0.000219907407407516[/C][/ROW]
[ROW][C]72[/C][C]0.76[/C][C]0.759456018518519[/C][C]0.763333333333333[/C][C]-0.00387731481481479[/C][C]0.000543981481481381[/C][/ROW]
[ROW][C]73[/C][C]0.76[/C][C]0.761956018518519[/C][C]0.76625[/C][C]-0.0042939814814815[/C][C]-0.00195601851851857[/C][/ROW]
[ROW][C]74[/C][C]0.77[/C][C]0.770497685185185[/C][C]0.76875[/C][C]0.00174768518518517[/C][C]-0.000497685185185226[/C][/ROW]
[ROW][C]75[/C][C]0.77[/C][C]0.773622685185185[/C][C]0.770833333333333[/C][C]0.00278935185185181[/C][C]-0.00362268518518505[/C][/ROW]
[ROW][C]76[/C][C]0.78[/C][C]0.77806712962963[/C][C]0.7725[/C][C]0.0055671296296296[/C][C]0.00193287037037049[/C][/ROW]
[ROW][C]77[/C][C]0.78[/C][C]0.778206018518519[/C][C]0.775[/C][C]0.00320601851851854[/C][C]0.00179398148148147[/C][/ROW]
[ROW][C]78[/C][C]0.78[/C][C]0.779108796296296[/C][C]0.778333333333333[/C][C]0.00077546296296296[/C][C]0.000891203703703658[/C][/ROW]
[ROW][C]79[/C][C]0.78[/C][C]0.780081018518519[/C][C]0.781666666666667[/C][C]-0.00158564814814813[/C][C]-8.10185185184942e-05[/C][/ROW]
[ROW][C]80[/C][C]0.78[/C][C]0.785983796296296[/C][C]0.785[/C][C]0.000983796296296288[/C][C]-0.00598379629629631[/C][/ROW]
[ROW][C]81[/C][C]0.78[/C][C]0.785150462962963[/C][C]0.788333333333333[/C][C]-0.00318287037037036[/C][C]-0.00515046296296284[/C][/ROW]
[ROW][C]82[/C][C]0.78[/C][C]0.788900462962963[/C][C]0.79125[/C][C]-0.00234953703703703[/C][C]-0.00890046296296276[/C][/ROW]
[ROW][C]83[/C][C]0.8[/C][C]0.79355324074074[/C][C]0.793333333333333[/C][C]0.000219907407407446[/C][C]0.00644675925925964[/C][/ROW]
[ROW][C]84[/C][C]0.8[/C][C]0.791539351851852[/C][C]0.795416666666666[/C][C]-0.00387731481481479[/C][C]0.0084606481481484[/C][/ROW]
[ROW][C]85[/C][C]0.8[/C][C]0.793622685185185[/C][C]0.797916666666667[/C][C]-0.0042939814814815[/C][C]0.00637731481481496[/C][/ROW]
[ROW][C]86[/C][C]0.81[/C][C]0.802164351851852[/C][C]0.800416666666667[/C][C]0.00174768518518517[/C][C]0.0078356481481483[/C][/ROW]
[ROW][C]87[/C][C]0.81[/C][C]0.805289351851852[/C][C]0.8025[/C][C]0.00278935185185181[/C][C]0.00471064814814826[/C][/ROW]
[ROW][C]88[/C][C]0.81[/C][C]0.81056712962963[/C][C]0.805[/C][C]0.0055671296296296[/C][C]-0.000567129629629459[/C][/ROW]
[ROW][C]89[/C][C]0.8[/C][C]0.811122685185185[/C][C]0.807916666666667[/C][C]0.00320601851851854[/C][C]-0.0111226851851851[/C][/ROW]
[ROW][C]90[/C][C]0.81[/C][C]0.81119212962963[/C][C]0.810416666666667[/C][C]0.00077546296296296[/C][C]-0.00119212962962956[/C][/ROW]
[ROW][C]91[/C][C]0.81[/C][C]NA[/C][C]NA[/C][C]-0.00158564814814813[/C][C]NA[/C][/ROW]
[ROW][C]92[/C][C]0.81[/C][C]NA[/C][C]NA[/C][C]0.000983796296296288[/C][C]NA[/C][/ROW]
[ROW][C]93[/C][C]0.8[/C][C]NA[/C][C]NA[/C][C]-0.00318287037037036[/C][C]NA[/C][/ROW]
[ROW][C]94[/C][C]0.82[/C][C]NA[/C][C]NA[/C][C]-0.00234953703703703[/C][C]NA[/C][/ROW]
[ROW][C]95[/C][C]0.83[/C][C]NA[/C][C]NA[/C][C]0.000219907407407446[/C][C]NA[/C][/ROW]
[ROW][C]96[/C][C]0.83[/C][C]NA[/C][C]NA[/C][C]-0.00387731481481479[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13319&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13319&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	0.58	NA	NA	-0.0042939814814815	NA
2	0.58	NA	NA	0.00174768518518517	NA
3	0.59	NA	NA	0.00278935185185181	NA
4	0.6	NA	NA	0.0055671296296296	NA
5	0.6	NA	NA	0.00320601851851854	NA
6	0.61	NA	NA	0.00077546296296296	NA
7	0.62	0.607164351851852	0.60875	-0.00158564814814813	0.0128356481481481
8	0.61	0.613900462962963	0.612916666666667	0.000983796296296288	-0.00390046296296309
9	0.62	0.613483796296296	0.616666666666667	-0.00318287037037036	0.00651620370370365
10	0.62	0.617233796296296	0.619583333333333	-0.00234953703703703	0.00276620370370362
11	0.62	0.622303240740741	0.622083333333333	0.000219907407407446	-0.00230324074074073
12	0.63	0.620289351851852	0.624166666666667	-0.00387731481481479	0.00971064814814826
13	0.63	0.621122685185185	0.625416666666667	-0.0042939814814815	0.0088773148148149
14	0.63	0.628831018518518	0.627083333333333	0.00174768518518517	0.00116898148148159
15	0.63	0.631539351851852	0.62875	0.00278935185185181	-0.00153935185185172
16	0.63	0.635150462962963	0.629583333333333	0.0055671296296296	-0.00515046296296284
17	0.63	0.633622685185185	0.630416666666667	0.00320601851851854	-0.00362268518518516
18	0.63	0.631608796296296	0.630833333333333	0.00077546296296296	-0.00160879629629618
19	0.63	0.629247685185185	0.630833333333333	-0.00158564814814813	0.000752314814814858
20	0.64	0.632233796296296	0.63125	0.000983796296296288	0.00776620370370373
21	0.63	0.62931712962963	0.6325	-0.00318287037037036	0.000682870370370403
22	0.63	0.63181712962963	0.634166666666667	-0.00234953703703703	-0.00181712962962965
23	0.63	0.636053240740741	0.635833333333333	0.000219907407407446	-0.00605324074074065
24	0.63	0.633622685185185	0.6375	-0.00387731481481479	-0.00362268518518516
25	0.63	0.634872685185185	0.639166666666667	-0.0042939814814815	-0.00487268518518513
26	0.64	0.642581018518518	0.640833333333333	0.00174768518518517	-0.00258101851851844
27	0.65	0.645289351851852	0.6425	0.00278935185185181	0.00471064814814826
28	0.65	0.650150462962963	0.644583333333333	0.0055671296296296	-0.000150462962962949
29	0.65	0.650289351851852	0.647083333333333	0.00320601851851854	-0.00028935185185186
30	0.65	0.650358796296296	0.649583333333333	0.00077546296296296	-0.000358796296296315
31	0.65	0.650497685185185	0.652083333333333	-0.00158564814814813	-0.000497685185185337
32	0.66	0.655983796296296	0.655	0.000983796296296288	0.0040162037037037
33	0.65	0.655150462962963	0.658333333333333	-0.00318287037037036	-0.00515046296296306
34	0.66	0.659733796296296	0.662083333333333	-0.00234953703703703	0.000266203703703671
35	0.66	0.666886574074074	0.666666666666667	0.000219907407407446	-0.00688657407407411
36	0.66	0.667789351851852	0.671666666666667	-0.00387731481481479	-0.00778935185185192
37	0.66	0.671956018518518	0.67625	-0.0042939814814815	-0.0119560185185185
38	0.68	0.681747685185185	0.68	0.00174768518518517	-0.0017476851851852
39	0.69	0.686539351851852	0.68375	0.00278935185185181	0.00346064814814806
40	0.7	0.69306712962963	0.6875	0.0055671296296296	0.00693287037037027
41	0.71	0.694456018518519	0.69125	0.00320601851851854	0.0155439814814814
42	0.71	0.695775462962963	0.695	0.00077546296296296	0.0142245370370371
43	0.7	0.696747685185185	0.698333333333333	-0.00158564814814813	0.00325231481481481
44	0.7	0.70181712962963	0.700833333333333	0.000983796296296288	-0.00181712962962965
45	0.7	0.698483796296296	0.701666666666667	-0.00318287037037036	0.00151620370370364
46	0.7	0.69931712962963	0.701666666666667	-0.00234953703703703	0.000682870370370181
47	0.71	0.701053240740741	0.700833333333333	0.000219907407407446	0.00894675925925925
48	0.7	0.695289351851852	0.699166666666667	-0.00387731481481479	0.00471064814814814
49	0.7	0.693622685185185	0.697916666666667	-0.0042939814814815	0.00637731481481485
50	0.7	0.699247685185185	0.6975	0.00174768518518517	0.000752314814814636
51	0.69	0.700289351851852	0.6975	0.00278935185185181	-0.0102893518518520
52	0.7	0.703483796296296	0.697916666666667	0.0055671296296296	-0.00348379629629636
53	0.69	0.701539351851852	0.698333333333333	0.00320601851851854	-0.0115393518518518
54	0.69	0.699525462962963	0.69875	0.00077546296296296	-0.00952546296296297
55	0.69	0.698414351851852	0.7	-0.00158564814814813	-0.0084143518518519
56	0.7	0.70306712962963	0.702083333333333	0.000983796296296288	-0.00306712962962974
57	0.7	0.702233796296296	0.705416666666667	-0.00318287037037036	-0.00223379629629628
58	0.71	0.70681712962963	0.709166666666667	-0.00234953703703703	0.00318287037037035
59	0.71	0.713136574074074	0.712916666666667	0.000219907407407446	-0.00313657407407408
60	0.71	0.713206018518519	0.717083333333333	-0.00387731481481479	-0.00320601851851854
61	0.72	0.717372685185185	0.721666666666667	-0.0042939814814815	0.00262731481481482
62	0.73	0.727997685185185	0.72625	0.00174768518518517	0.00200231481481472
63	0.74	0.733622685185185	0.730833333333333	0.00278935185185181	0.00637731481481474
64	0.74	0.740983796296296	0.735416666666667	0.0055671296296296	-0.000983796296296191
65	0.74	0.742789351851852	0.739583333333333	0.00320601851851854	-0.00278935185185170
66	0.74	0.744525462962963	0.74375	0.00077546296296296	-0.00452546296296286
67	0.75	0.745914351851852	0.7475	-0.00158564814814813	0.00408564814814816
68	0.75	0.75181712962963	0.750833333333333	0.000983796296296288	-0.00181712962962954
69	0.76	0.75056712962963	0.75375	-0.00318287037037036	0.00943287037037033
70	0.76	0.75431712962963	0.756666666666667	-0.00234953703703703	0.0056828703703703
71	0.76	0.760219907407408	0.76	0.000219907407407446	-0.000219907407407516
72	0.76	0.759456018518519	0.763333333333333	-0.00387731481481479	0.000543981481481381
73	0.76	0.761956018518519	0.76625	-0.0042939814814815	-0.00195601851851857
74	0.77	0.770497685185185	0.76875	0.00174768518518517	-0.000497685185185226
75	0.77	0.773622685185185	0.770833333333333	0.00278935185185181	-0.00362268518518505
76	0.78	0.77806712962963	0.7725	0.0055671296296296	0.00193287037037049
77	0.78	0.778206018518519	0.775	0.00320601851851854	0.00179398148148147
78	0.78	0.779108796296296	0.778333333333333	0.00077546296296296	0.000891203703703658
79	0.78	0.780081018518519	0.781666666666667	-0.00158564814814813	-8.10185185184942e-05
80	0.78	0.785983796296296	0.785	0.000983796296296288	-0.00598379629629631
81	0.78	0.785150462962963	0.788333333333333	-0.00318287037037036	-0.00515046296296284
82	0.78	0.788900462962963	0.79125	-0.00234953703703703	-0.00890046296296276
83	0.8	0.79355324074074	0.793333333333333	0.000219907407407446	0.00644675925925964
84	0.8	0.791539351851852	0.795416666666666	-0.00387731481481479	0.0084606481481484
85	0.8	0.793622685185185	0.797916666666667	-0.0042939814814815	0.00637731481481496
86	0.81	0.802164351851852	0.800416666666667	0.00174768518518517	0.0078356481481483
87	0.81	0.805289351851852	0.8025	0.00278935185185181	0.00471064814814826
88	0.81	0.81056712962963	0.805	0.0055671296296296	-0.000567129629629459
89	0.8	0.811122685185185	0.807916666666667	0.00320601851851854	-0.0111226851851851
90	0.81	0.81119212962963	0.810416666666667	0.00077546296296296	-0.00119212962962956
91	0.81	NA	NA	-0.00158564814814813	NA
92	0.81	NA	NA	0.000983796296296288	NA
93	0.8	NA	NA	-0.00318287037037036	NA
94	0.82	NA	NA	-0.00234953703703703	NA
95	0.83	NA	NA	0.000219907407407446	NA
96	0.83	NA	NA	-0.00387731481481479	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