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rwasp_decompose.wasp

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Classical Decomposition

Date of computation

Thu, 24 Nov 2011 09:44:32 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/24/t1322145904t2zhxr8vxpujgku.htm/, Retrieved Tue, 16 Apr 2024 12:03:26 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=146885, Retrieved Tue, 16 Apr 2024 12:03:26 +0000

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Estimated Impact

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

-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMPD  [Univariate Data Series] [] [2011-11-24 13:29:35] [22f8bc702946f784836540059d0d9516]
- RMP     [Classical Decomposition] [] [2011-11-24 14:18:49] [22f8bc702946f784836540059d0d9516]
- R P         [Classical Decomposition] [] [2011-11-24 14:44:32] [76a85a4cc6ea7903d92a0f5b9d2872d3] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146885&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146885&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146885&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	135094	NA	NA	0.999804241643443	NA
2	135411	NA	NA	0.999381562998061	NA
3	135698	NA	NA	0.9995491218068	NA
4	135880	NA	NA	0.999672175167191	NA
5	135891	NA	NA	1.00067782030739	NA
6	135971	NA	NA	1.00018144187082	NA
7	136173	136163.396772637	136174.833333333	0.999916015607169	1.00007052723118
8	136358	136361.947114664	136331.958333333	1.00021996882974	0.999971054133885
9	136514	136525.409968081	136476.666666667	1.00035715483536	0.999916426047844
10	136506	136630.385566253	136614.208333333	1.00011841544974	0.999089620030435
11	136711	136761.504557704	136752.875	1.00006310330005	0.999630710718875
12	136891	136904.49056875	136896.416666667	1.00005897818424	0.999901459998177
13	137094	137002.133769649	137028.958333333	0.999804241643443	1.00067054598219
14	137182	137057.436158071	137142.25	0.999381562998061	1.00090884409793
15	137400	137181.245067771	137243.125	0.9995491218068	1.00159464168824
16	137479	137299.47506225	137344.5	0.999672175167191	1.00130754278316
17	137620	137539.914198335	137446.75	1.00067782030739	1.00058227316871
18	137687	137566.705832435	137541.75	1.00018144187082	1.00087444245202
19	137638	137613.274995267	137624.833333333	0.999916015607169	1.00017967020067
20	137612	137723.163140578	137692.875	1.00021996882974	0.999192850802707
21	137681	137790.903450496	137741.708333333	1.00035715483536	0.999202389651686
22	137772	137783.772128871	137767.458333333	1.00011841544974	0.999914560846398
23	137899	137775.318528674	137766.625	1.00006310330005	1.0008977041218
24	137983	137748.123655097	137740	1.00005897818424	1.00170511465907
25	137996	137668.628272235	137695.583333333	0.999804241643443	1.00237796898156
26	137913	137548.423991792	137633.541666667	0.999381562998061	1.00265052842939
27	137841	137478.485987868	137540.5	0.9995491218068	1.00263687812334
28	137656	137356.456376235	137401.5	0.999672175167191	1.00218077571064
29	137423	137291.787793808	137198.791666667	1.00067782030739	1.00095571780585
30	137245	136952.927820941	136928.083333333	1.00018144187082	1.0021326464772
31	137014	136581.903288336	136593.375	0.999916015607169	1.00316364541173
32	136747	136227.125798033	136197.166666667	1.00021996882974	1.0038162311575
33	136313	135792.481625971	135744	1.00035715483536	1.00383318993656
34	135804	135256.889609036	135240.875	1.00011841544974	1.0040449724413
35	135002	134720.084078796	134711.583333333	1.00006310330005	1.00209260499747
36	134383	134170.329322394	134162.416666667	1.00005897818424	1.00158507979133
37	133563	133570.722295309	133596.875	0.999804241643443	0.999942185718725
38	132837	132947.687684734	133029.958333333	0.999381562998061	0.999167434299452
39	132041	132413.062573712	132472.791666667	0.9995491218068	0.997190136936039
40	131381	131892.623143837	131935.875	0.999672175167191	0.9961209116049
41	130995	131531.177446663	131442.083333333	1.00067782030739	0.995923571452249
42	130493	131023.560513943	130999.791666667	1.00018144187082	0.995950648021911
43	130193	130599.447430125	130610.416666667	0.999916015607169	0.996887831930966
44	129962	130311.033061565	130282.375	1.00021996882974	0.997321538680459
45	129726	130070.73047115	130024.291666667	1.00035715483536	0.997349669138466
46	129505	129861.792488493	129846.416666667	1.00011841544974	0.997252521456421
47	129450	129750.937195682	129742.75	1.00006310330005	0.997680654936399
48	129320	129694.815380275	129687.166666667	1.00005897818424	0.997110020325975
49	129281	129629.577291771	129654.958333333	0.999804241643443	0.997310974092078
50	129246	129560.200595155	129640.375	0.999381562998061	0.997574867947785
51	129438	129583.130770476	129641.583333333	0.9995491218068	0.998880018026934
52	129715	129625.241691535	129667.75	0.999672175167191	1.00069244467585
53	130173	129804.341088086	129716.416666667	1.00067782030739	1.00284011234774
54	129981	129806.54807032	129783	1.00018144187082	1.00134393782342
55	129932	NA	NA	0.999916015607169	NA
56	129873	NA	NA	1.00021996882974	NA
57	129844	NA	NA	1.00035715483536	NA
58	130015	NA	NA	1.00011841544974	NA
59	130108	NA	NA	1.00006310330005	NA
60	130260	NA	NA	1.00005897818424	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 135094 & NA & NA & 0.999804241643443 & NA \tabularnewline
2 & 135411 & NA & NA & 0.999381562998061 & NA \tabularnewline
3 & 135698 & NA & NA & 0.9995491218068 & NA \tabularnewline
4 & 135880 & NA & NA & 0.999672175167191 & NA \tabularnewline
5 & 135891 & NA & NA & 1.00067782030739 & NA \tabularnewline
6 & 135971 & NA & NA & 1.00018144187082 & NA \tabularnewline
7 & 136173 & 136163.396772637 & 136174.833333333 & 0.999916015607169 & 1.00007052723118 \tabularnewline
8 & 136358 & 136361.947114664 & 136331.958333333 & 1.00021996882974 & 0.999971054133885 \tabularnewline
9 & 136514 & 136525.409968081 & 136476.666666667 & 1.00035715483536 & 0.999916426047844 \tabularnewline
10 & 136506 & 136630.385566253 & 136614.208333333 & 1.00011841544974 & 0.999089620030435 \tabularnewline
11 & 136711 & 136761.504557704 & 136752.875 & 1.00006310330005 & 0.999630710718875 \tabularnewline
12 & 136891 & 136904.49056875 & 136896.416666667 & 1.00005897818424 & 0.999901459998177 \tabularnewline
13 & 137094 & 137002.133769649 & 137028.958333333 & 0.999804241643443 & 1.00067054598219 \tabularnewline
14 & 137182 & 137057.436158071 & 137142.25 & 0.999381562998061 & 1.00090884409793 \tabularnewline
15 & 137400 & 137181.245067771 & 137243.125 & 0.9995491218068 & 1.00159464168824 \tabularnewline
16 & 137479 & 137299.47506225 & 137344.5 & 0.999672175167191 & 1.00130754278316 \tabularnewline
17 & 137620 & 137539.914198335 & 137446.75 & 1.00067782030739 & 1.00058227316871 \tabularnewline
18 & 137687 & 137566.705832435 & 137541.75 & 1.00018144187082 & 1.00087444245202 \tabularnewline
19 & 137638 & 137613.274995267 & 137624.833333333 & 0.999916015607169 & 1.00017967020067 \tabularnewline
20 & 137612 & 137723.163140578 & 137692.875 & 1.00021996882974 & 0.999192850802707 \tabularnewline
21 & 137681 & 137790.903450496 & 137741.708333333 & 1.00035715483536 & 0.999202389651686 \tabularnewline
22 & 137772 & 137783.772128871 & 137767.458333333 & 1.00011841544974 & 0.999914560846398 \tabularnewline
23 & 137899 & 137775.318528674 & 137766.625 & 1.00006310330005 & 1.0008977041218 \tabularnewline
24 & 137983 & 137748.123655097 & 137740 & 1.00005897818424 & 1.00170511465907 \tabularnewline
25 & 137996 & 137668.628272235 & 137695.583333333 & 0.999804241643443 & 1.00237796898156 \tabularnewline
26 & 137913 & 137548.423991792 & 137633.541666667 & 0.999381562998061 & 1.00265052842939 \tabularnewline
27 & 137841 & 137478.485987868 & 137540.5 & 0.9995491218068 & 1.00263687812334 \tabularnewline
28 & 137656 & 137356.456376235 & 137401.5 & 0.999672175167191 & 1.00218077571064 \tabularnewline
29 & 137423 & 137291.787793808 & 137198.791666667 & 1.00067782030739 & 1.00095571780585 \tabularnewline
30 & 137245 & 136952.927820941 & 136928.083333333 & 1.00018144187082 & 1.0021326464772 \tabularnewline
31 & 137014 & 136581.903288336 & 136593.375 & 0.999916015607169 & 1.00316364541173 \tabularnewline
32 & 136747 & 136227.125798033 & 136197.166666667 & 1.00021996882974 & 1.0038162311575 \tabularnewline
33 & 136313 & 135792.481625971 & 135744 & 1.00035715483536 & 1.00383318993656 \tabularnewline
34 & 135804 & 135256.889609036 & 135240.875 & 1.00011841544974 & 1.0040449724413 \tabularnewline
35 & 135002 & 134720.084078796 & 134711.583333333 & 1.00006310330005 & 1.00209260499747 \tabularnewline
36 & 134383 & 134170.329322394 & 134162.416666667 & 1.00005897818424 & 1.00158507979133 \tabularnewline
37 & 133563 & 133570.722295309 & 133596.875 & 0.999804241643443 & 0.999942185718725 \tabularnewline
38 & 132837 & 132947.687684734 & 133029.958333333 & 0.999381562998061 & 0.999167434299452 \tabularnewline
39 & 132041 & 132413.062573712 & 132472.791666667 & 0.9995491218068 & 0.997190136936039 \tabularnewline
40 & 131381 & 131892.623143837 & 131935.875 & 0.999672175167191 & 0.9961209116049 \tabularnewline
41 & 130995 & 131531.177446663 & 131442.083333333 & 1.00067782030739 & 0.995923571452249 \tabularnewline
42 & 130493 & 131023.560513943 & 130999.791666667 & 1.00018144187082 & 0.995950648021911 \tabularnewline
43 & 130193 & 130599.447430125 & 130610.416666667 & 0.999916015607169 & 0.996887831930966 \tabularnewline
44 & 129962 & 130311.033061565 & 130282.375 & 1.00021996882974 & 0.997321538680459 \tabularnewline
45 & 129726 & 130070.73047115 & 130024.291666667 & 1.00035715483536 & 0.997349669138466 \tabularnewline
46 & 129505 & 129861.792488493 & 129846.416666667 & 1.00011841544974 & 0.997252521456421 \tabularnewline
47 & 129450 & 129750.937195682 & 129742.75 & 1.00006310330005 & 0.997680654936399 \tabularnewline
48 & 129320 & 129694.815380275 & 129687.166666667 & 1.00005897818424 & 0.997110020325975 \tabularnewline
49 & 129281 & 129629.577291771 & 129654.958333333 & 0.999804241643443 & 0.997310974092078 \tabularnewline
50 & 129246 & 129560.200595155 & 129640.375 & 0.999381562998061 & 0.997574867947785 \tabularnewline
51 & 129438 & 129583.130770476 & 129641.583333333 & 0.9995491218068 & 0.998880018026934 \tabularnewline
52 & 129715 & 129625.241691535 & 129667.75 & 0.999672175167191 & 1.00069244467585 \tabularnewline
53 & 130173 & 129804.341088086 & 129716.416666667 & 1.00067782030739 & 1.00284011234774 \tabularnewline
54 & 129981 & 129806.54807032 & 129783 & 1.00018144187082 & 1.00134393782342 \tabularnewline
55 & 129932 & NA & NA & 0.999916015607169 & NA \tabularnewline
56 & 129873 & NA & NA & 1.00021996882974 & NA \tabularnewline
57 & 129844 & NA & NA & 1.00035715483536 & NA \tabularnewline
58 & 130015 & NA & NA & 1.00011841544974 & NA \tabularnewline
59 & 130108 & NA & NA & 1.00006310330005 & NA \tabularnewline
60 & 130260 & NA & NA & 1.00005897818424 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146885&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]135094[/C][C]NA[/C][C]NA[/C][C]0.999804241643443[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]135411[/C][C]NA[/C][C]NA[/C][C]0.999381562998061[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]135698[/C][C]NA[/C][C]NA[/C][C]0.9995491218068[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]135880[/C][C]NA[/C][C]NA[/C][C]0.999672175167191[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]135891[/C][C]NA[/C][C]NA[/C][C]1.00067782030739[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]135971[/C][C]NA[/C][C]NA[/C][C]1.00018144187082[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]136173[/C][C]136163.396772637[/C][C]136174.833333333[/C][C]0.999916015607169[/C][C]1.00007052723118[/C][/ROW]
[ROW][C]8[/C][C]136358[/C][C]136361.947114664[/C][C]136331.958333333[/C][C]1.00021996882974[/C][C]0.999971054133885[/C][/ROW]
[ROW][C]9[/C][C]136514[/C][C]136525.409968081[/C][C]136476.666666667[/C][C]1.00035715483536[/C][C]0.999916426047844[/C][/ROW]
[ROW][C]10[/C][C]136506[/C][C]136630.385566253[/C][C]136614.208333333[/C][C]1.00011841544974[/C][C]0.999089620030435[/C][/ROW]
[ROW][C]11[/C][C]136711[/C][C]136761.504557704[/C][C]136752.875[/C][C]1.00006310330005[/C][C]0.999630710718875[/C][/ROW]
[ROW][C]12[/C][C]136891[/C][C]136904.49056875[/C][C]136896.416666667[/C][C]1.00005897818424[/C][C]0.999901459998177[/C][/ROW]
[ROW][C]13[/C][C]137094[/C][C]137002.133769649[/C][C]137028.958333333[/C][C]0.999804241643443[/C][C]1.00067054598219[/C][/ROW]
[ROW][C]14[/C][C]137182[/C][C]137057.436158071[/C][C]137142.25[/C][C]0.999381562998061[/C][C]1.00090884409793[/C][/ROW]
[ROW][C]15[/C][C]137400[/C][C]137181.245067771[/C][C]137243.125[/C][C]0.9995491218068[/C][C]1.00159464168824[/C][/ROW]
[ROW][C]16[/C][C]137479[/C][C]137299.47506225[/C][C]137344.5[/C][C]0.999672175167191[/C][C]1.00130754278316[/C][/ROW]
[ROW][C]17[/C][C]137620[/C][C]137539.914198335[/C][C]137446.75[/C][C]1.00067782030739[/C][C]1.00058227316871[/C][/ROW]
[ROW][C]18[/C][C]137687[/C][C]137566.705832435[/C][C]137541.75[/C][C]1.00018144187082[/C][C]1.00087444245202[/C][/ROW]
[ROW][C]19[/C][C]137638[/C][C]137613.274995267[/C][C]137624.833333333[/C][C]0.999916015607169[/C][C]1.00017967020067[/C][/ROW]
[ROW][C]20[/C][C]137612[/C][C]137723.163140578[/C][C]137692.875[/C][C]1.00021996882974[/C][C]0.999192850802707[/C][/ROW]
[ROW][C]21[/C][C]137681[/C][C]137790.903450496[/C][C]137741.708333333[/C][C]1.00035715483536[/C][C]0.999202389651686[/C][/ROW]
[ROW][C]22[/C][C]137772[/C][C]137783.772128871[/C][C]137767.458333333[/C][C]1.00011841544974[/C][C]0.999914560846398[/C][/ROW]
[ROW][C]23[/C][C]137899[/C][C]137775.318528674[/C][C]137766.625[/C][C]1.00006310330005[/C][C]1.0008977041218[/C][/ROW]
[ROW][C]24[/C][C]137983[/C][C]137748.123655097[/C][C]137740[/C][C]1.00005897818424[/C][C]1.00170511465907[/C][/ROW]
[ROW][C]25[/C][C]137996[/C][C]137668.628272235[/C][C]137695.583333333[/C][C]0.999804241643443[/C][C]1.00237796898156[/C][/ROW]
[ROW][C]26[/C][C]137913[/C][C]137548.423991792[/C][C]137633.541666667[/C][C]0.999381562998061[/C][C]1.00265052842939[/C][/ROW]
[ROW][C]27[/C][C]137841[/C][C]137478.485987868[/C][C]137540.5[/C][C]0.9995491218068[/C][C]1.00263687812334[/C][/ROW]
[ROW][C]28[/C][C]137656[/C][C]137356.456376235[/C][C]137401.5[/C][C]0.999672175167191[/C][C]1.00218077571064[/C][/ROW]
[ROW][C]29[/C][C]137423[/C][C]137291.787793808[/C][C]137198.791666667[/C][C]1.00067782030739[/C][C]1.00095571780585[/C][/ROW]
[ROW][C]30[/C][C]137245[/C][C]136952.927820941[/C][C]136928.083333333[/C][C]1.00018144187082[/C][C]1.0021326464772[/C][/ROW]
[ROW][C]31[/C][C]137014[/C][C]136581.903288336[/C][C]136593.375[/C][C]0.999916015607169[/C][C]1.00316364541173[/C][/ROW]
[ROW][C]32[/C][C]136747[/C][C]136227.125798033[/C][C]136197.166666667[/C][C]1.00021996882974[/C][C]1.0038162311575[/C][/ROW]
[ROW][C]33[/C][C]136313[/C][C]135792.481625971[/C][C]135744[/C][C]1.00035715483536[/C][C]1.00383318993656[/C][/ROW]
[ROW][C]34[/C][C]135804[/C][C]135256.889609036[/C][C]135240.875[/C][C]1.00011841544974[/C][C]1.0040449724413[/C][/ROW]
[ROW][C]35[/C][C]135002[/C][C]134720.084078796[/C][C]134711.583333333[/C][C]1.00006310330005[/C][C]1.00209260499747[/C][/ROW]
[ROW][C]36[/C][C]134383[/C][C]134170.329322394[/C][C]134162.416666667[/C][C]1.00005897818424[/C][C]1.00158507979133[/C][/ROW]
[ROW][C]37[/C][C]133563[/C][C]133570.722295309[/C][C]133596.875[/C][C]0.999804241643443[/C][C]0.999942185718725[/C][/ROW]
[ROW][C]38[/C][C]132837[/C][C]132947.687684734[/C][C]133029.958333333[/C][C]0.999381562998061[/C][C]0.999167434299452[/C][/ROW]
[ROW][C]39[/C][C]132041[/C][C]132413.062573712[/C][C]132472.791666667[/C][C]0.9995491218068[/C][C]0.997190136936039[/C][/ROW]
[ROW][C]40[/C][C]131381[/C][C]131892.623143837[/C][C]131935.875[/C][C]0.999672175167191[/C][C]0.9961209116049[/C][/ROW]
[ROW][C]41[/C][C]130995[/C][C]131531.177446663[/C][C]131442.083333333[/C][C]1.00067782030739[/C][C]0.995923571452249[/C][/ROW]
[ROW][C]42[/C][C]130493[/C][C]131023.560513943[/C][C]130999.791666667[/C][C]1.00018144187082[/C][C]0.995950648021911[/C][/ROW]
[ROW][C]43[/C][C]130193[/C][C]130599.447430125[/C][C]130610.416666667[/C][C]0.999916015607169[/C][C]0.996887831930966[/C][/ROW]
[ROW][C]44[/C][C]129962[/C][C]130311.033061565[/C][C]130282.375[/C][C]1.00021996882974[/C][C]0.997321538680459[/C][/ROW]
[ROW][C]45[/C][C]129726[/C][C]130070.73047115[/C][C]130024.291666667[/C][C]1.00035715483536[/C][C]0.997349669138466[/C][/ROW]
[ROW][C]46[/C][C]129505[/C][C]129861.792488493[/C][C]129846.416666667[/C][C]1.00011841544974[/C][C]0.997252521456421[/C][/ROW]
[ROW][C]47[/C][C]129450[/C][C]129750.937195682[/C][C]129742.75[/C][C]1.00006310330005[/C][C]0.997680654936399[/C][/ROW]
[ROW][C]48[/C][C]129320[/C][C]129694.815380275[/C][C]129687.166666667[/C][C]1.00005897818424[/C][C]0.997110020325975[/C][/ROW]
[ROW][C]49[/C][C]129281[/C][C]129629.577291771[/C][C]129654.958333333[/C][C]0.999804241643443[/C][C]0.997310974092078[/C][/ROW]
[ROW][C]50[/C][C]129246[/C][C]129560.200595155[/C][C]129640.375[/C][C]0.999381562998061[/C][C]0.997574867947785[/C][/ROW]
[ROW][C]51[/C][C]129438[/C][C]129583.130770476[/C][C]129641.583333333[/C][C]0.9995491218068[/C][C]0.998880018026934[/C][/ROW]
[ROW][C]52[/C][C]129715[/C][C]129625.241691535[/C][C]129667.75[/C][C]0.999672175167191[/C][C]1.00069244467585[/C][/ROW]
[ROW][C]53[/C][C]130173[/C][C]129804.341088086[/C][C]129716.416666667[/C][C]1.00067782030739[/C][C]1.00284011234774[/C][/ROW]
[ROW][C]54[/C][C]129981[/C][C]129806.54807032[/C][C]129783[/C][C]1.00018144187082[/C][C]1.00134393782342[/C][/ROW]
[ROW][C]55[/C][C]129932[/C][C]NA[/C][C]NA[/C][C]0.999916015607169[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]129873[/C][C]NA[/C][C]NA[/C][C]1.00021996882974[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]129844[/C][C]NA[/C][C]NA[/C][C]1.00035715483536[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]130015[/C][C]NA[/C][C]NA[/C][C]1.00011841544974[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]130108[/C][C]NA[/C][C]NA[/C][C]1.00006310330005[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]130260[/C][C]NA[/C][C]NA[/C][C]1.00005897818424[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146885&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146885&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	135094	NA	NA	0.999804241643443	NA
2	135411	NA	NA	0.999381562998061	NA
3	135698	NA	NA	0.9995491218068	NA
4	135880	NA	NA	0.999672175167191	NA
5	135891	NA	NA	1.00067782030739	NA
6	135971	NA	NA	1.00018144187082	NA
7	136173	136163.396772637	136174.833333333	0.999916015607169	1.00007052723118
8	136358	136361.947114664	136331.958333333	1.00021996882974	0.999971054133885
9	136514	136525.409968081	136476.666666667	1.00035715483536	0.999916426047844
10	136506	136630.385566253	136614.208333333	1.00011841544974	0.999089620030435
11	136711	136761.504557704	136752.875	1.00006310330005	0.999630710718875
12	136891	136904.49056875	136896.416666667	1.00005897818424	0.999901459998177
13	137094	137002.133769649	137028.958333333	0.999804241643443	1.00067054598219
14	137182	137057.436158071	137142.25	0.999381562998061	1.00090884409793
15	137400	137181.245067771	137243.125	0.9995491218068	1.00159464168824
16	137479	137299.47506225	137344.5	0.999672175167191	1.00130754278316
17	137620	137539.914198335	137446.75	1.00067782030739	1.00058227316871
18	137687	137566.705832435	137541.75	1.00018144187082	1.00087444245202
19	137638	137613.274995267	137624.833333333	0.999916015607169	1.00017967020067
20	137612	137723.163140578	137692.875	1.00021996882974	0.999192850802707
21	137681	137790.903450496	137741.708333333	1.00035715483536	0.999202389651686
22	137772	137783.772128871	137767.458333333	1.00011841544974	0.999914560846398
23	137899	137775.318528674	137766.625	1.00006310330005	1.0008977041218
24	137983	137748.123655097	137740	1.00005897818424	1.00170511465907
25	137996	137668.628272235	137695.583333333	0.999804241643443	1.00237796898156
26	137913	137548.423991792	137633.541666667	0.999381562998061	1.00265052842939
27	137841	137478.485987868	137540.5	0.9995491218068	1.00263687812334
28	137656	137356.456376235	137401.5	0.999672175167191	1.00218077571064
29	137423	137291.787793808	137198.791666667	1.00067782030739	1.00095571780585
30	137245	136952.927820941	136928.083333333	1.00018144187082	1.0021326464772
31	137014	136581.903288336	136593.375	0.999916015607169	1.00316364541173
32	136747	136227.125798033	136197.166666667	1.00021996882974	1.0038162311575
33	136313	135792.481625971	135744	1.00035715483536	1.00383318993656
34	135804	135256.889609036	135240.875	1.00011841544974	1.0040449724413
35	135002	134720.084078796	134711.583333333	1.00006310330005	1.00209260499747
36	134383	134170.329322394	134162.416666667	1.00005897818424	1.00158507979133
37	133563	133570.722295309	133596.875	0.999804241643443	0.999942185718725
38	132837	132947.687684734	133029.958333333	0.999381562998061	0.999167434299452
39	132041	132413.062573712	132472.791666667	0.9995491218068	0.997190136936039
40	131381	131892.623143837	131935.875	0.999672175167191	0.9961209116049
41	130995	131531.177446663	131442.083333333	1.00067782030739	0.995923571452249
42	130493	131023.560513943	130999.791666667	1.00018144187082	0.995950648021911
43	130193	130599.447430125	130610.416666667	0.999916015607169	0.996887831930966
44	129962	130311.033061565	130282.375	1.00021996882974	0.997321538680459
45	129726	130070.73047115	130024.291666667	1.00035715483536	0.997349669138466
46	129505	129861.792488493	129846.416666667	1.00011841544974	0.997252521456421
47	129450	129750.937195682	129742.75	1.00006310330005	0.997680654936399
48	129320	129694.815380275	129687.166666667	1.00005897818424	0.997110020325975
49	129281	129629.577291771	129654.958333333	0.999804241643443	0.997310974092078
50	129246	129560.200595155	129640.375	0.999381562998061	0.997574867947785
51	129438	129583.130770476	129641.583333333	0.9995491218068	0.998880018026934
52	129715	129625.241691535	129667.75	0.999672175167191	1.00069244467585
53	130173	129804.341088086	129716.416666667	1.00067782030739	1.00284011234774
54	129981	129806.54807032	129783	1.00018144187082	1.00134393782342
55	129932	NA	NA	0.999916015607169	NA
56	129873	NA	NA	1.00021996882974	NA
57	129844	NA	NA	1.00035715483536	NA
58	130015	NA	NA	1.00011841544974	NA
59	130108	NA	NA	1.00006310330005	NA
60	130260	NA	NA	1.00005897818424	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