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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Sat, 04 May 2013 09:15:22 -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/04/t1367673518rxq8q4xoen6gdoq.htm/, Retrieved Mon, 29 Apr 2024 11:57:22 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=208717, Retrieved Mon, 29 Apr 2024 11:57:22 +0000

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Estimated Impact

181

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

-       [Classical Decomposition] [Opgave 9: Consump...] [2013-05-04 13:15:22] [7bf0202b24d13a3918d58b8a1b5b6350] [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	5 seconds
R Server	'Gertrude Mary Cox' @ cox.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 & 5 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=208717&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=208717&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=208717&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	5 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	39.28	NA	NA	0.999551521596409	NA
2	39.36	NA	NA	1.00151211542776	NA
3	39.55	NA	NA	1.00082906239621	NA
4	39.64	NA	NA	0.999599305138419	NA
5	39.8	NA	NA	1.00062086719214	NA
6	39.79	NA	NA	1.00020864970524	NA
7	39.79	39.766666097564	39.7804166666667	0.999654338233361	1.00058677039656
8	39.86	39.8283604488273	39.8358333333333	0.999812407978428	1.00079439753021
9	39.91	39.8127740601469	39.8795833333333	0.998324724894239	1.00244207900977
10	40	39.8645468337991	39.9033333333333	0.999027988483813	1.00339783534391
11	40.01	39.9190585171777	39.9033333333333	1.00039408196085	1.00227814698543
12	40.01	39.9131318009509	39.8945833333333	1.00046493699314	1.00242697565133
13	40.01	39.8691948378761	39.8870833333333	0.999551521596409	1.00353167809625
14	39.96	39.9382166796852	39.8779166666667	1.00151211542776	1.00054542546277
15	40	39.894297463441	39.86125	1.00082906239621	1.00264956505766
16	39.76	39.8157063225051	39.8316666666667	0.999599305138419	0.998600895785852
17	39.68	39.8238766635244	39.7991666666667	1.00062086719214	0.996387175845787
18	39.7	39.7787147523812	39.7704166666667	1.00020864970524	0.998021184121427
19	39.7	39.7275129693165	39.74125	0.999654338233361	0.999307458049594
20	39.73	39.7229635574863	39.7304166666667	0.999812407978428	1.00017713790421
21	39.64	39.6671850377664	39.73375	0.998324724894239	0.999314671869442
22	39.56	39.7071999256129	39.7458333333333	0.999027988483813	0.996292865629189
23	39.67	39.7906746099927	39.775	1.00039408196085	0.996967264034212
24	39.66	39.8268417001352	39.8083333333333	1.00046493699314	0.995810822726256
25	39.66	39.8237985396036	39.8416666666667	0.999551521596409	0.995886918234566
26	40.05	39.9348783059671	39.8745833333333	1.00151211542776	1.00288273556641
27	39.99	39.9418368439048	39.90875	1.00082906239621	1.00120583227765
28	40.06	39.9389902368055	39.955	0.999599305138419	1.00302986536407
29	40.08	40.0460978811133	40.02125	1.00062086719214	1.00084657733663
30	40.1	40.1117008820123	40.1033333333333	1.00020864970524	0.999708292549181
31	40.1	40.1777739441625	40.1916666666667	0.999654338233361	0.998064254523643
32	40.12	40.263278846298	40.2708333333333	0.999812407978428	0.996441451108716
33	40.07	40.2761631199519	40.34375	0.998324724894239	0.99488126216646
34	40.24	40.3832088644869	40.4225	0.999027988483813	0.99645375222738
35	40.58	40.5288820763063	40.5129166666667	1.00039408196085	1.00126127149516
36	40.72	40.6309653932435	40.6120833333333	1.00046493699314	1.00219129931802
37	40.72	40.6929918835918	40.71125	0.999551521596409	1.00066370436672
38	40.89	40.8729613207511	40.81125	1.00151211542776	1.00041686921374
39	40.9	40.9485040758317	40.9145833333333	1.00082906239621	0.998815486012826
40	41.04	40.9981490005418	41.0145833333333	0.999599305138419	1.00102080216982
41	41.27	41.1184299104542	41.0929166666667	1.00062086719214	1.00368618378367
42	41.29	41.1598361961826	41.15125	1.00020864970524	1.00316239848956
43	41.29	41.1911735295466	41.2054166666667	0.999654338233361	1.00239921473426
44	41.33	41.2468443026467	41.2545833333333	0.999812407978428	1.00201604992477
45	41.34	41.2370506676626	41.30625	0.998324724894239	1.00249652510717
46	41.37	41.318132557043	41.3583333333333	0.999027988483813	1.00125531914796
47	41.33	41.4171486549141	41.4008333333333	1.00039408196085	0.997895831612162
48	41.37	41.4592669889957	41.44	1.00046493699314	0.997846874885189
49	41.37	41.4597311966164	41.4783333333333	0.999551521596409	0.997835702402632
50	41.42	41.581948439131	41.5191666666667	1.00151211542776	0.996105318648834
51	41.61	41.5961238816239	41.5616666666667	1.00082906239621	1.00033359162059
52	41.58	41.5908280885468	41.6075	0.999599305138419	0.999739652008762
53	41.75	41.6866991779471	41.6608333333333	1.00062086719214	1.0015184896694
54	41.75	41.7257875904741	41.7170833333333	1.00020864970524	1.00058027447591
55	41.75	41.758477366494	41.7729166666667	0.999654338233361	0.999796990526747
56	41.85	41.8196534947177	41.8275	0.999812407978428	1.0007256517629
57	41.84	41.7973604195095	41.8675	0.998324724894239	1.00102015007796
58	41.97	41.8546938391912	41.8954166666667	0.999027988483813	1.00275491588236
59	42.01	41.9365199157987	41.92	1.00039408196085	1.00175217410383
60	42.04	41.9611668990539	41.9416666666667	1.00046493699314	1.00187871565001
61	42.04	41.9461796037933	41.965	0.999551521596409	1.00223668513063
62	42.06	42.0514072432378	41.9879166666667	1.00151211542776	1.00020433933905
63	41.93	42.0498330565768	42.015	1.00082906239621	0.997150213262069
64	41.93	42.0239877874401	42.0408333333333	0.999599305138419	0.997763472902299
65	41.99	42.0861136741013	42.06	1.00062086719214	0.99771626159532
66	42.03	42.0854459507639	42.0766666666667	1.00020864970524	0.998682538594724
67	42.03	NA	NA	0.999654338233361	NA
68	42.12	NA	NA	0.999812407978428	NA
69	42.22	NA	NA	0.998324724894239	NA
70	42.21	NA	NA	0.999027988483813	NA
71	42.23	NA	NA	1.00039408196085	NA
72	42.22	NA	NA	1.00046493699314	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 39.28 & NA & NA & 0.999551521596409 & NA \tabularnewline
2 & 39.36 & NA & NA & 1.00151211542776 & NA \tabularnewline
3 & 39.55 & NA & NA & 1.00082906239621 & NA \tabularnewline
4 & 39.64 & NA & NA & 0.999599305138419 & NA \tabularnewline
5 & 39.8 & NA & NA & 1.00062086719214 & NA \tabularnewline
6 & 39.79 & NA & NA & 1.00020864970524 & NA \tabularnewline
7 & 39.79 & 39.766666097564 & 39.7804166666667 & 0.999654338233361 & 1.00058677039656 \tabularnewline
8 & 39.86 & 39.8283604488273 & 39.8358333333333 & 0.999812407978428 & 1.00079439753021 \tabularnewline
9 & 39.91 & 39.8127740601469 & 39.8795833333333 & 0.998324724894239 & 1.00244207900977 \tabularnewline
10 & 40 & 39.8645468337991 & 39.9033333333333 & 0.999027988483813 & 1.00339783534391 \tabularnewline
11 & 40.01 & 39.9190585171777 & 39.9033333333333 & 1.00039408196085 & 1.00227814698543 \tabularnewline
12 & 40.01 & 39.9131318009509 & 39.8945833333333 & 1.00046493699314 & 1.00242697565133 \tabularnewline
13 & 40.01 & 39.8691948378761 & 39.8870833333333 & 0.999551521596409 & 1.00353167809625 \tabularnewline
14 & 39.96 & 39.9382166796852 & 39.8779166666667 & 1.00151211542776 & 1.00054542546277 \tabularnewline
15 & 40 & 39.894297463441 & 39.86125 & 1.00082906239621 & 1.00264956505766 \tabularnewline
16 & 39.76 & 39.8157063225051 & 39.8316666666667 & 0.999599305138419 & 0.998600895785852 \tabularnewline
17 & 39.68 & 39.8238766635244 & 39.7991666666667 & 1.00062086719214 & 0.996387175845787 \tabularnewline
18 & 39.7 & 39.7787147523812 & 39.7704166666667 & 1.00020864970524 & 0.998021184121427 \tabularnewline
19 & 39.7 & 39.7275129693165 & 39.74125 & 0.999654338233361 & 0.999307458049594 \tabularnewline
20 & 39.73 & 39.7229635574863 & 39.7304166666667 & 0.999812407978428 & 1.00017713790421 \tabularnewline
21 & 39.64 & 39.6671850377664 & 39.73375 & 0.998324724894239 & 0.999314671869442 \tabularnewline
22 & 39.56 & 39.7071999256129 & 39.7458333333333 & 0.999027988483813 & 0.996292865629189 \tabularnewline
23 & 39.67 & 39.7906746099927 & 39.775 & 1.00039408196085 & 0.996967264034212 \tabularnewline
24 & 39.66 & 39.8268417001352 & 39.8083333333333 & 1.00046493699314 & 0.995810822726256 \tabularnewline
25 & 39.66 & 39.8237985396036 & 39.8416666666667 & 0.999551521596409 & 0.995886918234566 \tabularnewline
26 & 40.05 & 39.9348783059671 & 39.8745833333333 & 1.00151211542776 & 1.00288273556641 \tabularnewline
27 & 39.99 & 39.9418368439048 & 39.90875 & 1.00082906239621 & 1.00120583227765 \tabularnewline
28 & 40.06 & 39.9389902368055 & 39.955 & 0.999599305138419 & 1.00302986536407 \tabularnewline
29 & 40.08 & 40.0460978811133 & 40.02125 & 1.00062086719214 & 1.00084657733663 \tabularnewline
30 & 40.1 & 40.1117008820123 & 40.1033333333333 & 1.00020864970524 & 0.999708292549181 \tabularnewline
31 & 40.1 & 40.1777739441625 & 40.1916666666667 & 0.999654338233361 & 0.998064254523643 \tabularnewline
32 & 40.12 & 40.263278846298 & 40.2708333333333 & 0.999812407978428 & 0.996441451108716 \tabularnewline
33 & 40.07 & 40.2761631199519 & 40.34375 & 0.998324724894239 & 0.99488126216646 \tabularnewline
34 & 40.24 & 40.3832088644869 & 40.4225 & 0.999027988483813 & 0.99645375222738 \tabularnewline
35 & 40.58 & 40.5288820763063 & 40.5129166666667 & 1.00039408196085 & 1.00126127149516 \tabularnewline
36 & 40.72 & 40.6309653932435 & 40.6120833333333 & 1.00046493699314 & 1.00219129931802 \tabularnewline
37 & 40.72 & 40.6929918835918 & 40.71125 & 0.999551521596409 & 1.00066370436672 \tabularnewline
38 & 40.89 & 40.8729613207511 & 40.81125 & 1.00151211542776 & 1.00041686921374 \tabularnewline
39 & 40.9 & 40.9485040758317 & 40.9145833333333 & 1.00082906239621 & 0.998815486012826 \tabularnewline
40 & 41.04 & 40.9981490005418 & 41.0145833333333 & 0.999599305138419 & 1.00102080216982 \tabularnewline
41 & 41.27 & 41.1184299104542 & 41.0929166666667 & 1.00062086719214 & 1.00368618378367 \tabularnewline
42 & 41.29 & 41.1598361961826 & 41.15125 & 1.00020864970524 & 1.00316239848956 \tabularnewline
43 & 41.29 & 41.1911735295466 & 41.2054166666667 & 0.999654338233361 & 1.00239921473426 \tabularnewline
44 & 41.33 & 41.2468443026467 & 41.2545833333333 & 0.999812407978428 & 1.00201604992477 \tabularnewline
45 & 41.34 & 41.2370506676626 & 41.30625 & 0.998324724894239 & 1.00249652510717 \tabularnewline
46 & 41.37 & 41.318132557043 & 41.3583333333333 & 0.999027988483813 & 1.00125531914796 \tabularnewline
47 & 41.33 & 41.4171486549141 & 41.4008333333333 & 1.00039408196085 & 0.997895831612162 \tabularnewline
48 & 41.37 & 41.4592669889957 & 41.44 & 1.00046493699314 & 0.997846874885189 \tabularnewline
49 & 41.37 & 41.4597311966164 & 41.4783333333333 & 0.999551521596409 & 0.997835702402632 \tabularnewline
50 & 41.42 & 41.581948439131 & 41.5191666666667 & 1.00151211542776 & 0.996105318648834 \tabularnewline
51 & 41.61 & 41.5961238816239 & 41.5616666666667 & 1.00082906239621 & 1.00033359162059 \tabularnewline
52 & 41.58 & 41.5908280885468 & 41.6075 & 0.999599305138419 & 0.999739652008762 \tabularnewline
53 & 41.75 & 41.6866991779471 & 41.6608333333333 & 1.00062086719214 & 1.0015184896694 \tabularnewline
54 & 41.75 & 41.7257875904741 & 41.7170833333333 & 1.00020864970524 & 1.00058027447591 \tabularnewline
55 & 41.75 & 41.758477366494 & 41.7729166666667 & 0.999654338233361 & 0.999796990526747 \tabularnewline
56 & 41.85 & 41.8196534947177 & 41.8275 & 0.999812407978428 & 1.0007256517629 \tabularnewline
57 & 41.84 & 41.7973604195095 & 41.8675 & 0.998324724894239 & 1.00102015007796 \tabularnewline
58 & 41.97 & 41.8546938391912 & 41.8954166666667 & 0.999027988483813 & 1.00275491588236 \tabularnewline
59 & 42.01 & 41.9365199157987 & 41.92 & 1.00039408196085 & 1.00175217410383 \tabularnewline
60 & 42.04 & 41.9611668990539 & 41.9416666666667 & 1.00046493699314 & 1.00187871565001 \tabularnewline
61 & 42.04 & 41.9461796037933 & 41.965 & 0.999551521596409 & 1.00223668513063 \tabularnewline
62 & 42.06 & 42.0514072432378 & 41.9879166666667 & 1.00151211542776 & 1.00020433933905 \tabularnewline
63 & 41.93 & 42.0498330565768 & 42.015 & 1.00082906239621 & 0.997150213262069 \tabularnewline
64 & 41.93 & 42.0239877874401 & 42.0408333333333 & 0.999599305138419 & 0.997763472902299 \tabularnewline
65 & 41.99 & 42.0861136741013 & 42.06 & 1.00062086719214 & 0.99771626159532 \tabularnewline
66 & 42.03 & 42.0854459507639 & 42.0766666666667 & 1.00020864970524 & 0.998682538594724 \tabularnewline
67 & 42.03 & NA & NA & 0.999654338233361 & NA \tabularnewline
68 & 42.12 & NA & NA & 0.999812407978428 & NA \tabularnewline
69 & 42.22 & NA & NA & 0.998324724894239 & NA \tabularnewline
70 & 42.21 & NA & NA & 0.999027988483813 & NA \tabularnewline
71 & 42.23 & NA & NA & 1.00039408196085 & NA \tabularnewline
72 & 42.22 & NA & NA & 1.00046493699314 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=208717&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]39.28[/C][C]NA[/C][C]NA[/C][C]0.999551521596409[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]39.36[/C][C]NA[/C][C]NA[/C][C]1.00151211542776[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]39.55[/C][C]NA[/C][C]NA[/C][C]1.00082906239621[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]39.64[/C][C]NA[/C][C]NA[/C][C]0.999599305138419[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]39.8[/C][C]NA[/C][C]NA[/C][C]1.00062086719214[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]39.79[/C][C]NA[/C][C]NA[/C][C]1.00020864970524[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]39.79[/C][C]39.766666097564[/C][C]39.7804166666667[/C][C]0.999654338233361[/C][C]1.00058677039656[/C][/ROW]
[ROW][C]8[/C][C]39.86[/C][C]39.8283604488273[/C][C]39.8358333333333[/C][C]0.999812407978428[/C][C]1.00079439753021[/C][/ROW]
[ROW][C]9[/C][C]39.91[/C][C]39.8127740601469[/C][C]39.8795833333333[/C][C]0.998324724894239[/C][C]1.00244207900977[/C][/ROW]
[ROW][C]10[/C][C]40[/C][C]39.8645468337991[/C][C]39.9033333333333[/C][C]0.999027988483813[/C][C]1.00339783534391[/C][/ROW]
[ROW][C]11[/C][C]40.01[/C][C]39.9190585171777[/C][C]39.9033333333333[/C][C]1.00039408196085[/C][C]1.00227814698543[/C][/ROW]
[ROW][C]12[/C][C]40.01[/C][C]39.9131318009509[/C][C]39.8945833333333[/C][C]1.00046493699314[/C][C]1.00242697565133[/C][/ROW]
[ROW][C]13[/C][C]40.01[/C][C]39.8691948378761[/C][C]39.8870833333333[/C][C]0.999551521596409[/C][C]1.00353167809625[/C][/ROW]
[ROW][C]14[/C][C]39.96[/C][C]39.9382166796852[/C][C]39.8779166666667[/C][C]1.00151211542776[/C][C]1.00054542546277[/C][/ROW]
[ROW][C]15[/C][C]40[/C][C]39.894297463441[/C][C]39.86125[/C][C]1.00082906239621[/C][C]1.00264956505766[/C][/ROW]
[ROW][C]16[/C][C]39.76[/C][C]39.8157063225051[/C][C]39.8316666666667[/C][C]0.999599305138419[/C][C]0.998600895785852[/C][/ROW]
[ROW][C]17[/C][C]39.68[/C][C]39.8238766635244[/C][C]39.7991666666667[/C][C]1.00062086719214[/C][C]0.996387175845787[/C][/ROW]
[ROW][C]18[/C][C]39.7[/C][C]39.7787147523812[/C][C]39.7704166666667[/C][C]1.00020864970524[/C][C]0.998021184121427[/C][/ROW]
[ROW][C]19[/C][C]39.7[/C][C]39.7275129693165[/C][C]39.74125[/C][C]0.999654338233361[/C][C]0.999307458049594[/C][/ROW]
[ROW][C]20[/C][C]39.73[/C][C]39.7229635574863[/C][C]39.7304166666667[/C][C]0.999812407978428[/C][C]1.00017713790421[/C][/ROW]
[ROW][C]21[/C][C]39.64[/C][C]39.6671850377664[/C][C]39.73375[/C][C]0.998324724894239[/C][C]0.999314671869442[/C][/ROW]
[ROW][C]22[/C][C]39.56[/C][C]39.7071999256129[/C][C]39.7458333333333[/C][C]0.999027988483813[/C][C]0.996292865629189[/C][/ROW]
[ROW][C]23[/C][C]39.67[/C][C]39.7906746099927[/C][C]39.775[/C][C]1.00039408196085[/C][C]0.996967264034212[/C][/ROW]
[ROW][C]24[/C][C]39.66[/C][C]39.8268417001352[/C][C]39.8083333333333[/C][C]1.00046493699314[/C][C]0.995810822726256[/C][/ROW]
[ROW][C]25[/C][C]39.66[/C][C]39.8237985396036[/C][C]39.8416666666667[/C][C]0.999551521596409[/C][C]0.995886918234566[/C][/ROW]
[ROW][C]26[/C][C]40.05[/C][C]39.9348783059671[/C][C]39.8745833333333[/C][C]1.00151211542776[/C][C]1.00288273556641[/C][/ROW]
[ROW][C]27[/C][C]39.99[/C][C]39.9418368439048[/C][C]39.90875[/C][C]1.00082906239621[/C][C]1.00120583227765[/C][/ROW]
[ROW][C]28[/C][C]40.06[/C][C]39.9389902368055[/C][C]39.955[/C][C]0.999599305138419[/C][C]1.00302986536407[/C][/ROW]
[ROW][C]29[/C][C]40.08[/C][C]40.0460978811133[/C][C]40.02125[/C][C]1.00062086719214[/C][C]1.00084657733663[/C][/ROW]
[ROW][C]30[/C][C]40.1[/C][C]40.1117008820123[/C][C]40.1033333333333[/C][C]1.00020864970524[/C][C]0.999708292549181[/C][/ROW]
[ROW][C]31[/C][C]40.1[/C][C]40.1777739441625[/C][C]40.1916666666667[/C][C]0.999654338233361[/C][C]0.998064254523643[/C][/ROW]
[ROW][C]32[/C][C]40.12[/C][C]40.263278846298[/C][C]40.2708333333333[/C][C]0.999812407978428[/C][C]0.996441451108716[/C][/ROW]
[ROW][C]33[/C][C]40.07[/C][C]40.2761631199519[/C][C]40.34375[/C][C]0.998324724894239[/C][C]0.99488126216646[/C][/ROW]
[ROW][C]34[/C][C]40.24[/C][C]40.3832088644869[/C][C]40.4225[/C][C]0.999027988483813[/C][C]0.99645375222738[/C][/ROW]
[ROW][C]35[/C][C]40.58[/C][C]40.5288820763063[/C][C]40.5129166666667[/C][C]1.00039408196085[/C][C]1.00126127149516[/C][/ROW]
[ROW][C]36[/C][C]40.72[/C][C]40.6309653932435[/C][C]40.6120833333333[/C][C]1.00046493699314[/C][C]1.00219129931802[/C][/ROW]
[ROW][C]37[/C][C]40.72[/C][C]40.6929918835918[/C][C]40.71125[/C][C]0.999551521596409[/C][C]1.00066370436672[/C][/ROW]
[ROW][C]38[/C][C]40.89[/C][C]40.8729613207511[/C][C]40.81125[/C][C]1.00151211542776[/C][C]1.00041686921374[/C][/ROW]
[ROW][C]39[/C][C]40.9[/C][C]40.9485040758317[/C][C]40.9145833333333[/C][C]1.00082906239621[/C][C]0.998815486012826[/C][/ROW]
[ROW][C]40[/C][C]41.04[/C][C]40.9981490005418[/C][C]41.0145833333333[/C][C]0.999599305138419[/C][C]1.00102080216982[/C][/ROW]
[ROW][C]41[/C][C]41.27[/C][C]41.1184299104542[/C][C]41.0929166666667[/C][C]1.00062086719214[/C][C]1.00368618378367[/C][/ROW]
[ROW][C]42[/C][C]41.29[/C][C]41.1598361961826[/C][C]41.15125[/C][C]1.00020864970524[/C][C]1.00316239848956[/C][/ROW]
[ROW][C]43[/C][C]41.29[/C][C]41.1911735295466[/C][C]41.2054166666667[/C][C]0.999654338233361[/C][C]1.00239921473426[/C][/ROW]
[ROW][C]44[/C][C]41.33[/C][C]41.2468443026467[/C][C]41.2545833333333[/C][C]0.999812407978428[/C][C]1.00201604992477[/C][/ROW]
[ROW][C]45[/C][C]41.34[/C][C]41.2370506676626[/C][C]41.30625[/C][C]0.998324724894239[/C][C]1.00249652510717[/C][/ROW]
[ROW][C]46[/C][C]41.37[/C][C]41.318132557043[/C][C]41.3583333333333[/C][C]0.999027988483813[/C][C]1.00125531914796[/C][/ROW]
[ROW][C]47[/C][C]41.33[/C][C]41.4171486549141[/C][C]41.4008333333333[/C][C]1.00039408196085[/C][C]0.997895831612162[/C][/ROW]
[ROW][C]48[/C][C]41.37[/C][C]41.4592669889957[/C][C]41.44[/C][C]1.00046493699314[/C][C]0.997846874885189[/C][/ROW]
[ROW][C]49[/C][C]41.37[/C][C]41.4597311966164[/C][C]41.4783333333333[/C][C]0.999551521596409[/C][C]0.997835702402632[/C][/ROW]
[ROW][C]50[/C][C]41.42[/C][C]41.581948439131[/C][C]41.5191666666667[/C][C]1.00151211542776[/C][C]0.996105318648834[/C][/ROW]
[ROW][C]51[/C][C]41.61[/C][C]41.5961238816239[/C][C]41.5616666666667[/C][C]1.00082906239621[/C][C]1.00033359162059[/C][/ROW]
[ROW][C]52[/C][C]41.58[/C][C]41.5908280885468[/C][C]41.6075[/C][C]0.999599305138419[/C][C]0.999739652008762[/C][/ROW]
[ROW][C]53[/C][C]41.75[/C][C]41.6866991779471[/C][C]41.6608333333333[/C][C]1.00062086719214[/C][C]1.0015184896694[/C][/ROW]
[ROW][C]54[/C][C]41.75[/C][C]41.7257875904741[/C][C]41.7170833333333[/C][C]1.00020864970524[/C][C]1.00058027447591[/C][/ROW]
[ROW][C]55[/C][C]41.75[/C][C]41.758477366494[/C][C]41.7729166666667[/C][C]0.999654338233361[/C][C]0.999796990526747[/C][/ROW]
[ROW][C]56[/C][C]41.85[/C][C]41.8196534947177[/C][C]41.8275[/C][C]0.999812407978428[/C][C]1.0007256517629[/C][/ROW]
[ROW][C]57[/C][C]41.84[/C][C]41.7973604195095[/C][C]41.8675[/C][C]0.998324724894239[/C][C]1.00102015007796[/C][/ROW]
[ROW][C]58[/C][C]41.97[/C][C]41.8546938391912[/C][C]41.8954166666667[/C][C]0.999027988483813[/C][C]1.00275491588236[/C][/ROW]
[ROW][C]59[/C][C]42.01[/C][C]41.9365199157987[/C][C]41.92[/C][C]1.00039408196085[/C][C]1.00175217410383[/C][/ROW]
[ROW][C]60[/C][C]42.04[/C][C]41.9611668990539[/C][C]41.9416666666667[/C][C]1.00046493699314[/C][C]1.00187871565001[/C][/ROW]
[ROW][C]61[/C][C]42.04[/C][C]41.9461796037933[/C][C]41.965[/C][C]0.999551521596409[/C][C]1.00223668513063[/C][/ROW]
[ROW][C]62[/C][C]42.06[/C][C]42.0514072432378[/C][C]41.9879166666667[/C][C]1.00151211542776[/C][C]1.00020433933905[/C][/ROW]
[ROW][C]63[/C][C]41.93[/C][C]42.0498330565768[/C][C]42.015[/C][C]1.00082906239621[/C][C]0.997150213262069[/C][/ROW]
[ROW][C]64[/C][C]41.93[/C][C]42.0239877874401[/C][C]42.0408333333333[/C][C]0.999599305138419[/C][C]0.997763472902299[/C][/ROW]
[ROW][C]65[/C][C]41.99[/C][C]42.0861136741013[/C][C]42.06[/C][C]1.00062086719214[/C][C]0.99771626159532[/C][/ROW]
[ROW][C]66[/C][C]42.03[/C][C]42.0854459507639[/C][C]42.0766666666667[/C][C]1.00020864970524[/C][C]0.998682538594724[/C][/ROW]
[ROW][C]67[/C][C]42.03[/C][C]NA[/C][C]NA[/C][C]0.999654338233361[/C][C]NA[/C][/ROW]
[ROW][C]68[/C][C]42.12[/C][C]NA[/C][C]NA[/C][C]0.999812407978428[/C][C]NA[/C][/ROW]
[ROW][C]69[/C][C]42.22[/C][C]NA[/C][C]NA[/C][C]0.998324724894239[/C][C]NA[/C][/ROW]
[ROW][C]70[/C][C]42.21[/C][C]NA[/C][C]NA[/C][C]0.999027988483813[/C][C]NA[/C][/ROW]
[ROW][C]71[/C][C]42.23[/C][C]NA[/C][C]NA[/C][C]1.00039408196085[/C][C]NA[/C][/ROW]
[ROW][C]72[/C][C]42.22[/C][C]NA[/C][C]NA[/C][C]1.00046493699314[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=208717&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=208717&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	39.28	NA	NA	0.999551521596409	NA
2	39.36	NA	NA	1.00151211542776	NA
3	39.55	NA	NA	1.00082906239621	NA
4	39.64	NA	NA	0.999599305138419	NA
5	39.8	NA	NA	1.00062086719214	NA
6	39.79	NA	NA	1.00020864970524	NA
7	39.79	39.766666097564	39.7804166666667	0.999654338233361	1.00058677039656
8	39.86	39.8283604488273	39.8358333333333	0.999812407978428	1.00079439753021
9	39.91	39.8127740601469	39.8795833333333	0.998324724894239	1.00244207900977
10	40	39.8645468337991	39.9033333333333	0.999027988483813	1.00339783534391
11	40.01	39.9190585171777	39.9033333333333	1.00039408196085	1.00227814698543
12	40.01	39.9131318009509	39.8945833333333	1.00046493699314	1.00242697565133
13	40.01	39.8691948378761	39.8870833333333	0.999551521596409	1.00353167809625
14	39.96	39.9382166796852	39.8779166666667	1.00151211542776	1.00054542546277
15	40	39.894297463441	39.86125	1.00082906239621	1.00264956505766
16	39.76	39.8157063225051	39.8316666666667	0.999599305138419	0.998600895785852
17	39.68	39.8238766635244	39.7991666666667	1.00062086719214	0.996387175845787
18	39.7	39.7787147523812	39.7704166666667	1.00020864970524	0.998021184121427
19	39.7	39.7275129693165	39.74125	0.999654338233361	0.999307458049594
20	39.73	39.7229635574863	39.7304166666667	0.999812407978428	1.00017713790421
21	39.64	39.6671850377664	39.73375	0.998324724894239	0.999314671869442
22	39.56	39.7071999256129	39.7458333333333	0.999027988483813	0.996292865629189
23	39.67	39.7906746099927	39.775	1.00039408196085	0.996967264034212
24	39.66	39.8268417001352	39.8083333333333	1.00046493699314	0.995810822726256
25	39.66	39.8237985396036	39.8416666666667	0.999551521596409	0.995886918234566
26	40.05	39.9348783059671	39.8745833333333	1.00151211542776	1.00288273556641
27	39.99	39.9418368439048	39.90875	1.00082906239621	1.00120583227765
28	40.06	39.9389902368055	39.955	0.999599305138419	1.00302986536407
29	40.08	40.0460978811133	40.02125	1.00062086719214	1.00084657733663
30	40.1	40.1117008820123	40.1033333333333	1.00020864970524	0.999708292549181
31	40.1	40.1777739441625	40.1916666666667	0.999654338233361	0.998064254523643
32	40.12	40.263278846298	40.2708333333333	0.999812407978428	0.996441451108716
33	40.07	40.2761631199519	40.34375	0.998324724894239	0.99488126216646
34	40.24	40.3832088644869	40.4225	0.999027988483813	0.99645375222738
35	40.58	40.5288820763063	40.5129166666667	1.00039408196085	1.00126127149516
36	40.72	40.6309653932435	40.6120833333333	1.00046493699314	1.00219129931802
37	40.72	40.6929918835918	40.71125	0.999551521596409	1.00066370436672
38	40.89	40.8729613207511	40.81125	1.00151211542776	1.00041686921374
39	40.9	40.9485040758317	40.9145833333333	1.00082906239621	0.998815486012826
40	41.04	40.9981490005418	41.0145833333333	0.999599305138419	1.00102080216982
41	41.27	41.1184299104542	41.0929166666667	1.00062086719214	1.00368618378367
42	41.29	41.1598361961826	41.15125	1.00020864970524	1.00316239848956
43	41.29	41.1911735295466	41.2054166666667	0.999654338233361	1.00239921473426
44	41.33	41.2468443026467	41.2545833333333	0.999812407978428	1.00201604992477
45	41.34	41.2370506676626	41.30625	0.998324724894239	1.00249652510717
46	41.37	41.318132557043	41.3583333333333	0.999027988483813	1.00125531914796
47	41.33	41.4171486549141	41.4008333333333	1.00039408196085	0.997895831612162
48	41.37	41.4592669889957	41.44	1.00046493699314	0.997846874885189
49	41.37	41.4597311966164	41.4783333333333	0.999551521596409	0.997835702402632
50	41.42	41.581948439131	41.5191666666667	1.00151211542776	0.996105318648834
51	41.61	41.5961238816239	41.5616666666667	1.00082906239621	1.00033359162059
52	41.58	41.5908280885468	41.6075	0.999599305138419	0.999739652008762
53	41.75	41.6866991779471	41.6608333333333	1.00062086719214	1.0015184896694
54	41.75	41.7257875904741	41.7170833333333	1.00020864970524	1.00058027447591
55	41.75	41.758477366494	41.7729166666667	0.999654338233361	0.999796990526747
56	41.85	41.8196534947177	41.8275	0.999812407978428	1.0007256517629
57	41.84	41.7973604195095	41.8675	0.998324724894239	1.00102015007796
58	41.97	41.8546938391912	41.8954166666667	0.999027988483813	1.00275491588236
59	42.01	41.9365199157987	41.92	1.00039408196085	1.00175217410383
60	42.04	41.9611668990539	41.9416666666667	1.00046493699314	1.00187871565001
61	42.04	41.9461796037933	41.965	0.999551521596409	1.00223668513063
62	42.06	42.0514072432378	41.9879166666667	1.00151211542776	1.00020433933905
63	41.93	42.0498330565768	42.015	1.00082906239621	0.997150213262069
64	41.93	42.0239877874401	42.0408333333333	0.999599305138419	0.997763472902299
65	41.99	42.0861136741013	42.06	1.00062086719214	0.99771626159532
66	42.03	42.0854459507639	42.0766666666667	1.00020864970524	0.998682538594724
67	42.03	NA	NA	0.999654338233361	NA
68	42.12	NA	NA	0.999812407978428	NA
69	42.22	NA	NA	0.998324724894239	NA
70	42.21	NA	NA	0.999027988483813	NA
71	42.23	NA	NA	1.00039408196085	NA
72	42.22	NA	NA	1.00046493699314	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 = multiplicative ; par2 = 12 ;

Parameters (R input):

par1 = multiplicative ; 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