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rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Thu, 24 Nov 2011 09:23:11 -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/t1322144830pf2cicz586n2f7t.htm/, Retrieved Fri, 01 Nov 2024 00:17:33 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=146856, Retrieved Fri, 01 Nov 2024 00:17:33 +0000

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User-defined keywords

Estimated Impact

173

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    [Classical Decomposition] [compendium 8] [2011-11-24 14:23:11] [1b6261517283a6546869240081f8d68e] [Current]
- R P       [Classical Decomposition] [WS 8 ] [2011-11-24 15:00:38] [380049693c521f4999989215fb37aeca] 
-  M          [Classical Decomposition] [WS8-3] [2011-11-29 19:45:41] [74be16979710d4c4e7c6647856088456] 
-             [Classical Decomposition] [] [2011-12-01 07:56:19] [74be16979710d4c4e7c6647856088456] 
- RMPD      [Multiple Regression] [WS 8 Q2] [2011-11-24 15:13:59] [380049693c521f4999989215fb37aeca] 
- RMPD      [Multiple Regression] [WS 8 Q2] [2011-11-24 15:19:54] [380049693c521f4999989215fb37aeca] 
- RM          [Multiple Regression] [WS 8 ] [2011-11-29 11:57:47] [74be16979710d4c4e7c6647856088456] 
- RM          [Multiple Regression] [WS8-4] [2011-11-29 19:48:54] [74be16979710d4c4e7c6647856088456] 
-   PD        [Multiple Regression] [] [2011-11-29 22:53:24] [0748461f029d231b348d2f525a63e360] 
- RMPD        [Exponential Smoothing] [] [2011-11-29 23:13:27] [0748461f029d231b348d2f525a63e360] 
- R           [Multiple Regression] [] [2011-12-01 07:59:19] [74be16979710d4c4e7c6647856088456] 
- RMPD      [Exponential Smoothing] [WS 8 Q3] [2011-11-24 15:31:44] [380049693c521f4999989215fb37aeca] 
- R           [Exponential Smoothing] [compendium 8] [2011-11-29 12:04:52] [74be16979710d4c4e7c6647856088456] 
- RM          [Exponential Smoothing] [WS8-5] [2011-11-29 19:57:05] [74be16979710d4c4e7c6647856088456] 
- R           [Exponential Smoothing] [] [2011-12-01 08:01:09] [74be16979710d4c4e7c6647856088456] 
- R  D        [Exponential Smoothing] [] [2011-12-16 15:03:01] [74be16979710d4c4e7c6647856088456] 
- R         [Classical Decomposition] [compendium 8] [2011-11-29 11:42:46] [74be16979710d4c4e7c6647856088456] 
- RM        [Classical Decomposition] [WS8-2] [2011-11-29 19:23:39] [74be16979710d4c4e7c6647856088456] 
- R         [Classical Decomposition] [] [2011-12-01 07:53:32] [74be16979710d4c4e7c6647856088456] 

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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=146856&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=146856&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146856&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	-24.9045138888829	NA
2	135411	NA	NA	-81.3420138888866	NA
3	135698	NA	NA	-58.8107638888902	NA
4	135880	NA	NA	-43.9670138888975	NA
5	135891	NA	NA	87.4288194444492	NA
6	135971	NA	NA	24.0329861111207	NA
7	136173	136164.157986111	136174.833333333	-10.6753472222223	8.84201388890506
8	136358	136361.303819444	136331.958333333	29.3454861111171	-3.30381944443798
9	136514	136524.189236111	136476.666666667	47.5225694444346	-10.189236111124
10	136506	136629.407986111	136614.208333333	15.1996527777668	-123.407986111124
11	136711	136760.605902778	136752.875	7.73090277777768	-49.605902777781
12	136891	136904.855902778	136896.416666667	8.43923611111344	-13.855902777781
13	137094	137004.053819444	137028.958333333	-24.9045138888829	89.946180555562
14	137182	137060.907986111	137142.25	-81.3420138888866	121.092013888876
15	137400	137184.314236111	137243.125	-58.8107638888902	215.685763888876
16	137479	137300.532986111	137344.5	-43.9670138888975	178.467013888905
17	137620	137534.178819444	137446.75	87.4288194444492	85.8211805555911
18	137687	137565.782986111	137541.75	24.0329861111207	121.217013888905
19	137638	137614.157986111	137624.833333333	-10.6753472222223	23.8420138889051
20	137612	137722.220486111	137692.875	29.3454861111171	-110.220486111095
21	137681	137789.230902778	137741.708333333	47.5225694444346	-108.230902777781
22	137772	137782.657986111	137767.458333333	15.1996527777668	-10.657986111124
23	137899	137774.355902778	137766.625	7.73090277777768	124.644097222219
24	137983	137748.439236111	137740	8.43923611111344	234.560763888876
25	137996	137670.678819444	137695.583333333	-24.9045138888829	325.321180555562
26	137913	137552.199652778	137633.541666667	-81.3420138888866	360.800347222219
27	137841	137481.689236111	137540.5	-58.8107638888902	359.310763888876
28	137656	137357.532986111	137401.5	-43.9670138888975	298.467013888905
29	137423	137286.220486111	137198.791666667	87.4288194444492	136.779513888905
30	137245	136952.116319444	136928.083333333	24.0329861111207	292.883680555562
31	137014	136582.699652778	136593.375	-10.6753472222223	431.300347222219
32	136747	136226.512152778	136197.166666667	29.3454861111171	520.487847222219
33	136313	135791.522569444	135744	47.5225694444346	521.477430555591
34	135804	135256.074652778	135240.875	15.1996527777668	547.925347222219
35	135002	134719.314236111	134711.583333333	7.73090277777768	282.685763888905
36	134383	134170.855902778	134162.416666667	8.43923611111344	212.144097222219
37	133563	133571.970486111	133596.875	-24.9045138888829	-8.97048611112405
38	132837	132948.616319444	133029.958333333	-81.3420138888866	-111.616319444438
39	132041	132413.980902778	132472.791666667	-58.8107638888902	-372.980902777781
40	131381	131891.907986111	131935.875	-43.9670138888975	-510.907986111095
41	130995	131529.512152778	131442.083333333	87.4288194444492	-534.512152777796
42	130493	131023.824652778	130999.791666667	24.0329861111207	-530.824652777796
43	130193	130599.741319444	130610.416666667	-10.6753472222223	-406.741319444467
44	129962	130311.720486111	130282.375	29.3454861111171	-349.720486111139
45	129726	130071.814236111	130024.291666667	47.5225694444346	-345.814236111124
46	129505	129861.616319444	129846.416666667	15.1996527777668	-356.616319444438
47	129450	129750.480902778	129742.75	7.73090277777768	-300.480902777781
48	129320	129695.605902778	129687.166666667	8.43923611111344	-375.605902777766
49	129281	129630.053819444	129654.958333333	-24.9045138888829	-349.053819444453
50	129246	129559.032986111	129640.375	-81.3420138888866	-313.032986111109
51	129438	129582.772569444	129641.583333333	-58.8107638888902	-144.772569444438
52	129715	129623.782986111	129667.75	-43.9670138888975	91.217013888876
53	130173	129803.845486111	129716.416666667	87.4288194444492	369.154513888891
54	129981	129807.032986111	129783	24.0329861111207	173.967013888891
55	129932	NA	NA	-10.6753472222223	NA
56	129873	NA	NA	29.3454861111171	NA
57	129844	NA	NA	47.5225694444346	NA
58	130015	NA	NA	15.1996527777668	NA
59	130108	NA	NA	7.73090277777768	NA
60	130260	NA	NA	8.43923611111344	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 135094 & NA & NA & -24.9045138888829 & NA \tabularnewline
2 & 135411 & NA & NA & -81.3420138888866 & NA \tabularnewline
3 & 135698 & NA & NA & -58.8107638888902 & NA \tabularnewline
4 & 135880 & NA & NA & -43.9670138888975 & NA \tabularnewline
5 & 135891 & NA & NA & 87.4288194444492 & NA \tabularnewline
6 & 135971 & NA & NA & 24.0329861111207 & NA \tabularnewline
7 & 136173 & 136164.157986111 & 136174.833333333 & -10.6753472222223 & 8.84201388890506 \tabularnewline
8 & 136358 & 136361.303819444 & 136331.958333333 & 29.3454861111171 & -3.30381944443798 \tabularnewline
9 & 136514 & 136524.189236111 & 136476.666666667 & 47.5225694444346 & -10.189236111124 \tabularnewline
10 & 136506 & 136629.407986111 & 136614.208333333 & 15.1996527777668 & -123.407986111124 \tabularnewline
11 & 136711 & 136760.605902778 & 136752.875 & 7.73090277777768 & -49.605902777781 \tabularnewline
12 & 136891 & 136904.855902778 & 136896.416666667 & 8.43923611111344 & -13.855902777781 \tabularnewline
13 & 137094 & 137004.053819444 & 137028.958333333 & -24.9045138888829 & 89.946180555562 \tabularnewline
14 & 137182 & 137060.907986111 & 137142.25 & -81.3420138888866 & 121.092013888876 \tabularnewline
15 & 137400 & 137184.314236111 & 137243.125 & -58.8107638888902 & 215.685763888876 \tabularnewline
16 & 137479 & 137300.532986111 & 137344.5 & -43.9670138888975 & 178.467013888905 \tabularnewline
17 & 137620 & 137534.178819444 & 137446.75 & 87.4288194444492 & 85.8211805555911 \tabularnewline
18 & 137687 & 137565.782986111 & 137541.75 & 24.0329861111207 & 121.217013888905 \tabularnewline
19 & 137638 & 137614.157986111 & 137624.833333333 & -10.6753472222223 & 23.8420138889051 \tabularnewline
20 & 137612 & 137722.220486111 & 137692.875 & 29.3454861111171 & -110.220486111095 \tabularnewline
21 & 137681 & 137789.230902778 & 137741.708333333 & 47.5225694444346 & -108.230902777781 \tabularnewline
22 & 137772 & 137782.657986111 & 137767.458333333 & 15.1996527777668 & -10.657986111124 \tabularnewline
23 & 137899 & 137774.355902778 & 137766.625 & 7.73090277777768 & 124.644097222219 \tabularnewline
24 & 137983 & 137748.439236111 & 137740 & 8.43923611111344 & 234.560763888876 \tabularnewline
25 & 137996 & 137670.678819444 & 137695.583333333 & -24.9045138888829 & 325.321180555562 \tabularnewline
26 & 137913 & 137552.199652778 & 137633.541666667 & -81.3420138888866 & 360.800347222219 \tabularnewline
27 & 137841 & 137481.689236111 & 137540.5 & -58.8107638888902 & 359.310763888876 \tabularnewline
28 & 137656 & 137357.532986111 & 137401.5 & -43.9670138888975 & 298.467013888905 \tabularnewline
29 & 137423 & 137286.220486111 & 137198.791666667 & 87.4288194444492 & 136.779513888905 \tabularnewline
30 & 137245 & 136952.116319444 & 136928.083333333 & 24.0329861111207 & 292.883680555562 \tabularnewline
31 & 137014 & 136582.699652778 & 136593.375 & -10.6753472222223 & 431.300347222219 \tabularnewline
32 & 136747 & 136226.512152778 & 136197.166666667 & 29.3454861111171 & 520.487847222219 \tabularnewline
33 & 136313 & 135791.522569444 & 135744 & 47.5225694444346 & 521.477430555591 \tabularnewline
34 & 135804 & 135256.074652778 & 135240.875 & 15.1996527777668 & 547.925347222219 \tabularnewline
35 & 135002 & 134719.314236111 & 134711.583333333 & 7.73090277777768 & 282.685763888905 \tabularnewline
36 & 134383 & 134170.855902778 & 134162.416666667 & 8.43923611111344 & 212.144097222219 \tabularnewline
37 & 133563 & 133571.970486111 & 133596.875 & -24.9045138888829 & -8.97048611112405 \tabularnewline
38 & 132837 & 132948.616319444 & 133029.958333333 & -81.3420138888866 & -111.616319444438 \tabularnewline
39 & 132041 & 132413.980902778 & 132472.791666667 & -58.8107638888902 & -372.980902777781 \tabularnewline
40 & 131381 & 131891.907986111 & 131935.875 & -43.9670138888975 & -510.907986111095 \tabularnewline
41 & 130995 & 131529.512152778 & 131442.083333333 & 87.4288194444492 & -534.512152777796 \tabularnewline
42 & 130493 & 131023.824652778 & 130999.791666667 & 24.0329861111207 & -530.824652777796 \tabularnewline
43 & 130193 & 130599.741319444 & 130610.416666667 & -10.6753472222223 & -406.741319444467 \tabularnewline
44 & 129962 & 130311.720486111 & 130282.375 & 29.3454861111171 & -349.720486111139 \tabularnewline
45 & 129726 & 130071.814236111 & 130024.291666667 & 47.5225694444346 & -345.814236111124 \tabularnewline
46 & 129505 & 129861.616319444 & 129846.416666667 & 15.1996527777668 & -356.616319444438 \tabularnewline
47 & 129450 & 129750.480902778 & 129742.75 & 7.73090277777768 & -300.480902777781 \tabularnewline
48 & 129320 & 129695.605902778 & 129687.166666667 & 8.43923611111344 & -375.605902777766 \tabularnewline
49 & 129281 & 129630.053819444 & 129654.958333333 & -24.9045138888829 & -349.053819444453 \tabularnewline
50 & 129246 & 129559.032986111 & 129640.375 & -81.3420138888866 & -313.032986111109 \tabularnewline
51 & 129438 & 129582.772569444 & 129641.583333333 & -58.8107638888902 & -144.772569444438 \tabularnewline
52 & 129715 & 129623.782986111 & 129667.75 & -43.9670138888975 & 91.217013888876 \tabularnewline
53 & 130173 & 129803.845486111 & 129716.416666667 & 87.4288194444492 & 369.154513888891 \tabularnewline
54 & 129981 & 129807.032986111 & 129783 & 24.0329861111207 & 173.967013888891 \tabularnewline
55 & 129932 & NA & NA & -10.6753472222223 & NA \tabularnewline
56 & 129873 & NA & NA & 29.3454861111171 & NA \tabularnewline
57 & 129844 & NA & NA & 47.5225694444346 & NA \tabularnewline
58 & 130015 & NA & NA & 15.1996527777668 & NA \tabularnewline
59 & 130108 & NA & NA & 7.73090277777768 & NA \tabularnewline
60 & 130260 & NA & NA & 8.43923611111344 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146856&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]-24.9045138888829[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]135411[/C][C]NA[/C][C]NA[/C][C]-81.3420138888866[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]135698[/C][C]NA[/C][C]NA[/C][C]-58.8107638888902[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]135880[/C][C]NA[/C][C]NA[/C][C]-43.9670138888975[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]135891[/C][C]NA[/C][C]NA[/C][C]87.4288194444492[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]135971[/C][C]NA[/C][C]NA[/C][C]24.0329861111207[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]136173[/C][C]136164.157986111[/C][C]136174.833333333[/C][C]-10.6753472222223[/C][C]8.84201388890506[/C][/ROW]
[ROW][C]8[/C][C]136358[/C][C]136361.303819444[/C][C]136331.958333333[/C][C]29.3454861111171[/C][C]-3.30381944443798[/C][/ROW]
[ROW][C]9[/C][C]136514[/C][C]136524.189236111[/C][C]136476.666666667[/C][C]47.5225694444346[/C][C]-10.189236111124[/C][/ROW]
[ROW][C]10[/C][C]136506[/C][C]136629.407986111[/C][C]136614.208333333[/C][C]15.1996527777668[/C][C]-123.407986111124[/C][/ROW]
[ROW][C]11[/C][C]136711[/C][C]136760.605902778[/C][C]136752.875[/C][C]7.73090277777768[/C][C]-49.605902777781[/C][/ROW]
[ROW][C]12[/C][C]136891[/C][C]136904.855902778[/C][C]136896.416666667[/C][C]8.43923611111344[/C][C]-13.855902777781[/C][/ROW]
[ROW][C]13[/C][C]137094[/C][C]137004.053819444[/C][C]137028.958333333[/C][C]-24.9045138888829[/C][C]89.946180555562[/C][/ROW]
[ROW][C]14[/C][C]137182[/C][C]137060.907986111[/C][C]137142.25[/C][C]-81.3420138888866[/C][C]121.092013888876[/C][/ROW]
[ROW][C]15[/C][C]137400[/C][C]137184.314236111[/C][C]137243.125[/C][C]-58.8107638888902[/C][C]215.685763888876[/C][/ROW]
[ROW][C]16[/C][C]137479[/C][C]137300.532986111[/C][C]137344.5[/C][C]-43.9670138888975[/C][C]178.467013888905[/C][/ROW]
[ROW][C]17[/C][C]137620[/C][C]137534.178819444[/C][C]137446.75[/C][C]87.4288194444492[/C][C]85.8211805555911[/C][/ROW]
[ROW][C]18[/C][C]137687[/C][C]137565.782986111[/C][C]137541.75[/C][C]24.0329861111207[/C][C]121.217013888905[/C][/ROW]
[ROW][C]19[/C][C]137638[/C][C]137614.157986111[/C][C]137624.833333333[/C][C]-10.6753472222223[/C][C]23.8420138889051[/C][/ROW]
[ROW][C]20[/C][C]137612[/C][C]137722.220486111[/C][C]137692.875[/C][C]29.3454861111171[/C][C]-110.220486111095[/C][/ROW]
[ROW][C]21[/C][C]137681[/C][C]137789.230902778[/C][C]137741.708333333[/C][C]47.5225694444346[/C][C]-108.230902777781[/C][/ROW]
[ROW][C]22[/C][C]137772[/C][C]137782.657986111[/C][C]137767.458333333[/C][C]15.1996527777668[/C][C]-10.657986111124[/C][/ROW]
[ROW][C]23[/C][C]137899[/C][C]137774.355902778[/C][C]137766.625[/C][C]7.73090277777768[/C][C]124.644097222219[/C][/ROW]
[ROW][C]24[/C][C]137983[/C][C]137748.439236111[/C][C]137740[/C][C]8.43923611111344[/C][C]234.560763888876[/C][/ROW]
[ROW][C]25[/C][C]137996[/C][C]137670.678819444[/C][C]137695.583333333[/C][C]-24.9045138888829[/C][C]325.321180555562[/C][/ROW]
[ROW][C]26[/C][C]137913[/C][C]137552.199652778[/C][C]137633.541666667[/C][C]-81.3420138888866[/C][C]360.800347222219[/C][/ROW]
[ROW][C]27[/C][C]137841[/C][C]137481.689236111[/C][C]137540.5[/C][C]-58.8107638888902[/C][C]359.310763888876[/C][/ROW]
[ROW][C]28[/C][C]137656[/C][C]137357.532986111[/C][C]137401.5[/C][C]-43.9670138888975[/C][C]298.467013888905[/C][/ROW]
[ROW][C]29[/C][C]137423[/C][C]137286.220486111[/C][C]137198.791666667[/C][C]87.4288194444492[/C][C]136.779513888905[/C][/ROW]
[ROW][C]30[/C][C]137245[/C][C]136952.116319444[/C][C]136928.083333333[/C][C]24.0329861111207[/C][C]292.883680555562[/C][/ROW]
[ROW][C]31[/C][C]137014[/C][C]136582.699652778[/C][C]136593.375[/C][C]-10.6753472222223[/C][C]431.300347222219[/C][/ROW]
[ROW][C]32[/C][C]136747[/C][C]136226.512152778[/C][C]136197.166666667[/C][C]29.3454861111171[/C][C]520.487847222219[/C][/ROW]
[ROW][C]33[/C][C]136313[/C][C]135791.522569444[/C][C]135744[/C][C]47.5225694444346[/C][C]521.477430555591[/C][/ROW]
[ROW][C]34[/C][C]135804[/C][C]135256.074652778[/C][C]135240.875[/C][C]15.1996527777668[/C][C]547.925347222219[/C][/ROW]
[ROW][C]35[/C][C]135002[/C][C]134719.314236111[/C][C]134711.583333333[/C][C]7.73090277777768[/C][C]282.685763888905[/C][/ROW]
[ROW][C]36[/C][C]134383[/C][C]134170.855902778[/C][C]134162.416666667[/C][C]8.43923611111344[/C][C]212.144097222219[/C][/ROW]
[ROW][C]37[/C][C]133563[/C][C]133571.970486111[/C][C]133596.875[/C][C]-24.9045138888829[/C][C]-8.97048611112405[/C][/ROW]
[ROW][C]38[/C][C]132837[/C][C]132948.616319444[/C][C]133029.958333333[/C][C]-81.3420138888866[/C][C]-111.616319444438[/C][/ROW]
[ROW][C]39[/C][C]132041[/C][C]132413.980902778[/C][C]132472.791666667[/C][C]-58.8107638888902[/C][C]-372.980902777781[/C][/ROW]
[ROW][C]40[/C][C]131381[/C][C]131891.907986111[/C][C]131935.875[/C][C]-43.9670138888975[/C][C]-510.907986111095[/C][/ROW]
[ROW][C]41[/C][C]130995[/C][C]131529.512152778[/C][C]131442.083333333[/C][C]87.4288194444492[/C][C]-534.512152777796[/C][/ROW]
[ROW][C]42[/C][C]130493[/C][C]131023.824652778[/C][C]130999.791666667[/C][C]24.0329861111207[/C][C]-530.824652777796[/C][/ROW]
[ROW][C]43[/C][C]130193[/C][C]130599.741319444[/C][C]130610.416666667[/C][C]-10.6753472222223[/C][C]-406.741319444467[/C][/ROW]
[ROW][C]44[/C][C]129962[/C][C]130311.720486111[/C][C]130282.375[/C][C]29.3454861111171[/C][C]-349.720486111139[/C][/ROW]
[ROW][C]45[/C][C]129726[/C][C]130071.814236111[/C][C]130024.291666667[/C][C]47.5225694444346[/C][C]-345.814236111124[/C][/ROW]
[ROW][C]46[/C][C]129505[/C][C]129861.616319444[/C][C]129846.416666667[/C][C]15.1996527777668[/C][C]-356.616319444438[/C][/ROW]
[ROW][C]47[/C][C]129450[/C][C]129750.480902778[/C][C]129742.75[/C][C]7.73090277777768[/C][C]-300.480902777781[/C][/ROW]
[ROW][C]48[/C][C]129320[/C][C]129695.605902778[/C][C]129687.166666667[/C][C]8.43923611111344[/C][C]-375.605902777766[/C][/ROW]
[ROW][C]49[/C][C]129281[/C][C]129630.053819444[/C][C]129654.958333333[/C][C]-24.9045138888829[/C][C]-349.053819444453[/C][/ROW]
[ROW][C]50[/C][C]129246[/C][C]129559.032986111[/C][C]129640.375[/C][C]-81.3420138888866[/C][C]-313.032986111109[/C][/ROW]
[ROW][C]51[/C][C]129438[/C][C]129582.772569444[/C][C]129641.583333333[/C][C]-58.8107638888902[/C][C]-144.772569444438[/C][/ROW]
[ROW][C]52[/C][C]129715[/C][C]129623.782986111[/C][C]129667.75[/C][C]-43.9670138888975[/C][C]91.217013888876[/C][/ROW]
[ROW][C]53[/C][C]130173[/C][C]129803.845486111[/C][C]129716.416666667[/C][C]87.4288194444492[/C][C]369.154513888891[/C][/ROW]
[ROW][C]54[/C][C]129981[/C][C]129807.032986111[/C][C]129783[/C][C]24.0329861111207[/C][C]173.967013888891[/C][/ROW]
[ROW][C]55[/C][C]129932[/C][C]NA[/C][C]NA[/C][C]-10.6753472222223[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]129873[/C][C]NA[/C][C]NA[/C][C]29.3454861111171[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]129844[/C][C]NA[/C][C]NA[/C][C]47.5225694444346[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]130015[/C][C]NA[/C][C]NA[/C][C]15.1996527777668[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]130108[/C][C]NA[/C][C]NA[/C][C]7.73090277777768[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]130260[/C][C]NA[/C][C]NA[/C][C]8.43923611111344[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146856&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146856&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	-24.9045138888829	NA
2	135411	NA	NA	-81.3420138888866	NA
3	135698	NA	NA	-58.8107638888902	NA
4	135880	NA	NA	-43.9670138888975	NA
5	135891	NA	NA	87.4288194444492	NA
6	135971	NA	NA	24.0329861111207	NA
7	136173	136164.157986111	136174.833333333	-10.6753472222223	8.84201388890506
8	136358	136361.303819444	136331.958333333	29.3454861111171	-3.30381944443798
9	136514	136524.189236111	136476.666666667	47.5225694444346	-10.189236111124
10	136506	136629.407986111	136614.208333333	15.1996527777668	-123.407986111124
11	136711	136760.605902778	136752.875	7.73090277777768	-49.605902777781
12	136891	136904.855902778	136896.416666667	8.43923611111344	-13.855902777781
13	137094	137004.053819444	137028.958333333	-24.9045138888829	89.946180555562
14	137182	137060.907986111	137142.25	-81.3420138888866	121.092013888876
15	137400	137184.314236111	137243.125	-58.8107638888902	215.685763888876
16	137479	137300.532986111	137344.5	-43.9670138888975	178.467013888905
17	137620	137534.178819444	137446.75	87.4288194444492	85.8211805555911
18	137687	137565.782986111	137541.75	24.0329861111207	121.217013888905
19	137638	137614.157986111	137624.833333333	-10.6753472222223	23.8420138889051
20	137612	137722.220486111	137692.875	29.3454861111171	-110.220486111095
21	137681	137789.230902778	137741.708333333	47.5225694444346	-108.230902777781
22	137772	137782.657986111	137767.458333333	15.1996527777668	-10.657986111124
23	137899	137774.355902778	137766.625	7.73090277777768	124.644097222219
24	137983	137748.439236111	137740	8.43923611111344	234.560763888876
25	137996	137670.678819444	137695.583333333	-24.9045138888829	325.321180555562
26	137913	137552.199652778	137633.541666667	-81.3420138888866	360.800347222219
27	137841	137481.689236111	137540.5	-58.8107638888902	359.310763888876
28	137656	137357.532986111	137401.5	-43.9670138888975	298.467013888905
29	137423	137286.220486111	137198.791666667	87.4288194444492	136.779513888905
30	137245	136952.116319444	136928.083333333	24.0329861111207	292.883680555562
31	137014	136582.699652778	136593.375	-10.6753472222223	431.300347222219
32	136747	136226.512152778	136197.166666667	29.3454861111171	520.487847222219
33	136313	135791.522569444	135744	47.5225694444346	521.477430555591
34	135804	135256.074652778	135240.875	15.1996527777668	547.925347222219
35	135002	134719.314236111	134711.583333333	7.73090277777768	282.685763888905
36	134383	134170.855902778	134162.416666667	8.43923611111344	212.144097222219
37	133563	133571.970486111	133596.875	-24.9045138888829	-8.97048611112405
38	132837	132948.616319444	133029.958333333	-81.3420138888866	-111.616319444438
39	132041	132413.980902778	132472.791666667	-58.8107638888902	-372.980902777781
40	131381	131891.907986111	131935.875	-43.9670138888975	-510.907986111095
41	130995	131529.512152778	131442.083333333	87.4288194444492	-534.512152777796
42	130493	131023.824652778	130999.791666667	24.0329861111207	-530.824652777796
43	130193	130599.741319444	130610.416666667	-10.6753472222223	-406.741319444467
44	129962	130311.720486111	130282.375	29.3454861111171	-349.720486111139
45	129726	130071.814236111	130024.291666667	47.5225694444346	-345.814236111124
46	129505	129861.616319444	129846.416666667	15.1996527777668	-356.616319444438
47	129450	129750.480902778	129742.75	7.73090277777768	-300.480902777781
48	129320	129695.605902778	129687.166666667	8.43923611111344	-375.605902777766
49	129281	129630.053819444	129654.958333333	-24.9045138888829	-349.053819444453
50	129246	129559.032986111	129640.375	-81.3420138888866	-313.032986111109
51	129438	129582.772569444	129641.583333333	-58.8107638888902	-144.772569444438
52	129715	129623.782986111	129667.75	-43.9670138888975	91.217013888876
53	130173	129803.845486111	129716.416666667	87.4288194444492	369.154513888891
54	129981	129807.032986111	129783	24.0329861111207	173.967013888891
55	129932	NA	NA	-10.6753472222223	NA
56	129873	NA	NA	29.3454861111171	NA
57	129844	NA	NA	47.5225694444346	NA
58	130015	NA	NA	15.1996527777668	NA
59	130108	NA	NA	7.73090277777768	NA
60	130260	NA	NA	8.43923611111344	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