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rwasp_decompose.wasp

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Classical Decomposition

Date of computation

Sat, 08 Aug 2015 22:27:13 +0100

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Aug/08/t143906934063sytfxhy680wtr.htm/, Retrieved Sun, 19 May 2024 13:09:19 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279951, Retrieved Sun, 19 May 2024 13:09:19 +0000

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146

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-       [Classical Decomposition] [] [2015-08-08 21:27:13] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279951&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279951&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279951&T=0

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Maurice George Kendall' @ kendall.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	19064	NA	NA	1.04689	NA
2	18993	NA	NA	1.00798	NA
3	18921	NA	NA	0.995612	NA
4	18772	NA	NA	1.01031	NA
5	20246	NA	NA	1.07083	NA
6	20168	NA	NA	1.0547	NA
7	19064	18726.9	18946	0.988435	1.018
8	18330	17830.9	18930.5	0.941915	1.02799
9	18401	18764.1	18915.1	0.992016	0.980651
10	18401	16864.3	18887.5	0.892882	1.09112
11	18480	18465.1	18869.1	0.978589	1.00081
12	18622	19259.2	18884.5	1.01984	0.966915
13	18843	19831.1	18943	1.04689	0.950173
14	18843	19168.4	19016.6	1.00798	0.983026
15	18701	19009.4	19093.2	0.995612	0.983775
16	18330	19355.1	19157.7	1.01031	0.947037
17	20246	20563.9	19203.7	1.07083	0.984543
18	20538	20312.4	19258.9	1.0547	1.01111
19	20097	19087.8	19311.1	0.988435	1.05287
20	19064	18221.3	19345	0.941915	1.04625
21	19506	19217.9	19372.5	0.992016	1.01499
22	18843	17324.7	19403.1	0.892882	1.08764
23	19142	18999.6	19415.2	0.978589	1.0075
24	19285	19809.9	19424.5	1.01984	0.973505
25	19434	20354.5	19442.9	1.04689	0.954777
26	19064	19625.9	19470.5	1.00798	0.971369
27	19142	19440	19525.7	0.995612	0.984669
28	18622	19789	19587.1	1.01031	0.941028
29	20246	21053.3	19660.7	1.07083	0.961653
30	20759	20830.2	19749.8	1.0547	0.996582
31	20318	19603.5	19832.9	0.988435	1.03645
32	19506	18744.6	19900.5	0.941915	1.04062
33	20389	19823.8	19983.3	0.992016	1.02851
34	19434	17963.3	20118.4	0.892882	1.08187
35	20318	19825.9	20259.7	0.978589	1.02482
36	20246	20758.5	20354.7	1.01984	0.97531
37	20467	21341	20385.2	1.04689	0.959044
38	19655	20557.2	20394.4	1.00798	0.956113
39	20538	20320.2	20409.8	0.995612	1.01072
40	20467	20626.4	20416	1.01031	0.992272
41	21792	21858.9	20413	1.07083	0.996942
42	21493	21532.8	20416	1.0547	0.998151
43	20318	20194.8	20431.1	0.988435	1.0061
44	19726	19267.6	20455.8	0.941915	1.02379
45	20538	20301.6	20465	0.992016	1.01164
46	19434	18272.7	20464.8	0.892882	1.06356
47	20246	20017.4	20455.3	0.978589	1.01142
48	20389	20814.3	20409.3	1.01984	0.979568
49	20688	21315	20360.3	1.04689	0.970586
50	20026	20470.5	20308.4	1.00798	0.978288
51	20389	20155.5	20244.3	0.995612	1.01159
52	20610	20335.4	20128	1.01031	1.0135
53	21422	21386.1	19971.5	1.07083	1.00168
54	20759	20937.9	19851.9	1.0547	0.991455
55	19876	19540.5	19769.1	0.988435	1.01717
56	18921	18545.6	19689.2	0.941915	1.02024
57	19805	19425.7	19582	0.992016	1.01953
58	17375	17367	19450.5	0.892882	1.00046
59	18551	18884.1	19297.2	0.978589	0.982362
60	19213	19508.2	19128.7	1.01984	0.984868
61	19876	19842.6	18953.9	1.04689	1.00169
62	18921	18931.9	18782	1.00798	0.999422
63	18921	18522.3	18604	0.995612	1.02152
64	18921	18609.5	18419.6	1.01031	1.01674
65	19434	19543.5	18250.8	1.07083	0.9944
66	18701	19087.3	18097.3	1.0547	0.979759
67	17739	17721.4	17928.8	0.988435	1.00099
68	16934	16714	17744.7	0.941915	1.01316
69	17518	17429.3	17569.6	0.992016	1.00509
70	15238	15525.7	17388.2	0.892882	0.981472
71	16635	16838.8	17207.2	0.978589	0.987898
72	17447	17382.7	17044.5	1.01984	1.0037
73	17596	17679.9	16888	1.04689	0.995256
74	16784	16865.2	16731.6	1.00798	0.995187
75	16855	16532.9	16605.8	0.995612	1.01948
76	16635	16659.3	16489.4	1.01031	0.99854
77	17375	17529.5	16370	1.07083	0.991184
78	16855	17155.6	16265.8	1.0547	0.982475
79	15830	15968.3	16155.1	0.988435	0.991339
80	15089	15101	16032.2	0.941915	0.999205
81	16342	15737	15863.7	0.992016	1.03844
82	13621	13983.9	15661.5	0.892882	0.974048
83	15388	15137.1	15468.3	0.978589	1.01657
84	16193	15571.9	15268.9	1.01984	1.03989
85	16193	15750.5	15045.1	1.04689	1.02809
86	15238	14914.8	14796.7	1.00798	1.02167
87	14355	14466.1	14529.8	0.995612	0.992321
88	14284	14413	14266	1.01031	0.991048
89	15089	15026.6	14032.7	1.07083	1.00415
90	14355	14589.9	13833.2	1.0547	0.983897
91	12959	13506.6	13664.6	0.988435	0.95946
92	11997	12732.2	13517.4	0.941915	0.942256
93	13030	13263.4	13370.2	0.992016	0.982401
94	10601	11831.2	13250.5	0.892882	0.896023
95	12809	12861.7	13143.1	0.978589	0.995904
96	13984	13294.3	13035.6	1.01984	1.05188
97	14355	13521.2	12915.7	1.04689	1.06166
98	13543	12861	12759.2	1.00798	1.05303
99	12517	12532.4	12587.6	0.995612	0.998772
100	13251	12540.7	12412.8	1.01031	1.05664
101	13543	13117.8	12250.1	1.07083	1.03242
102	13322	12735.9	12075.3	1.0547	1.04602
103	11113	11759.9	11897.5	0.988435	0.94499
104	10088	11038.9	11719.7	0.941915	0.913857
105	10821	11437.3	11529.4	0.992016	0.946113
106	8613	10118.9	11332.8	0.892882	0.851181
107	10893	10892	11130.3	0.978589	1.00009
108	11705	11129.2	10912.7	1.01984	1.05174
109	12367	11180.8	10680	1.04689	1.1061
110	11263	10533.4	10450	1.00798	1.06927
111	10230	10183.9	10228.8	0.995612	1.00453
112	10821	10107.8	10004.7	1.01031	1.07056
113	11113	10479.9	9786.75	1.07083	1.06041
114	10529	10144.3	9618.12	1.0547	1.03792
115	8321	NA	NA	0.988435	NA
116	7359	NA	NA	0.941915	NA
117	8242	NA	NA	0.992016	NA
118	5813	NA	NA	0.892882	NA
119	8463	NA	NA	0.978589	NA
120	10088	NA	NA	1.01984	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 19064 & NA & NA & 1.04689 & NA \tabularnewline
2 & 18993 & NA & NA & 1.00798 & NA \tabularnewline
3 & 18921 & NA & NA & 0.995612 & NA \tabularnewline
4 & 18772 & NA & NA & 1.01031 & NA \tabularnewline
5 & 20246 & NA & NA & 1.07083 & NA \tabularnewline
6 & 20168 & NA & NA & 1.0547 & NA \tabularnewline
7 & 19064 & 18726.9 & 18946 & 0.988435 & 1.018 \tabularnewline
8 & 18330 & 17830.9 & 18930.5 & 0.941915 & 1.02799 \tabularnewline
9 & 18401 & 18764.1 & 18915.1 & 0.992016 & 0.980651 \tabularnewline
10 & 18401 & 16864.3 & 18887.5 & 0.892882 & 1.09112 \tabularnewline
11 & 18480 & 18465.1 & 18869.1 & 0.978589 & 1.00081 \tabularnewline
12 & 18622 & 19259.2 & 18884.5 & 1.01984 & 0.966915 \tabularnewline
13 & 18843 & 19831.1 & 18943 & 1.04689 & 0.950173 \tabularnewline
14 & 18843 & 19168.4 & 19016.6 & 1.00798 & 0.983026 \tabularnewline
15 & 18701 & 19009.4 & 19093.2 & 0.995612 & 0.983775 \tabularnewline
16 & 18330 & 19355.1 & 19157.7 & 1.01031 & 0.947037 \tabularnewline
17 & 20246 & 20563.9 & 19203.7 & 1.07083 & 0.984543 \tabularnewline
18 & 20538 & 20312.4 & 19258.9 & 1.0547 & 1.01111 \tabularnewline
19 & 20097 & 19087.8 & 19311.1 & 0.988435 & 1.05287 \tabularnewline
20 & 19064 & 18221.3 & 19345 & 0.941915 & 1.04625 \tabularnewline
21 & 19506 & 19217.9 & 19372.5 & 0.992016 & 1.01499 \tabularnewline
22 & 18843 & 17324.7 & 19403.1 & 0.892882 & 1.08764 \tabularnewline
23 & 19142 & 18999.6 & 19415.2 & 0.978589 & 1.0075 \tabularnewline
24 & 19285 & 19809.9 & 19424.5 & 1.01984 & 0.973505 \tabularnewline
25 & 19434 & 20354.5 & 19442.9 & 1.04689 & 0.954777 \tabularnewline
26 & 19064 & 19625.9 & 19470.5 & 1.00798 & 0.971369 \tabularnewline
27 & 19142 & 19440 & 19525.7 & 0.995612 & 0.984669 \tabularnewline
28 & 18622 & 19789 & 19587.1 & 1.01031 & 0.941028 \tabularnewline
29 & 20246 & 21053.3 & 19660.7 & 1.07083 & 0.961653 \tabularnewline
30 & 20759 & 20830.2 & 19749.8 & 1.0547 & 0.996582 \tabularnewline
31 & 20318 & 19603.5 & 19832.9 & 0.988435 & 1.03645 \tabularnewline
32 & 19506 & 18744.6 & 19900.5 & 0.941915 & 1.04062 \tabularnewline
33 & 20389 & 19823.8 & 19983.3 & 0.992016 & 1.02851 \tabularnewline
34 & 19434 & 17963.3 & 20118.4 & 0.892882 & 1.08187 \tabularnewline
35 & 20318 & 19825.9 & 20259.7 & 0.978589 & 1.02482 \tabularnewline
36 & 20246 & 20758.5 & 20354.7 & 1.01984 & 0.97531 \tabularnewline
37 & 20467 & 21341 & 20385.2 & 1.04689 & 0.959044 \tabularnewline
38 & 19655 & 20557.2 & 20394.4 & 1.00798 & 0.956113 \tabularnewline
39 & 20538 & 20320.2 & 20409.8 & 0.995612 & 1.01072 \tabularnewline
40 & 20467 & 20626.4 & 20416 & 1.01031 & 0.992272 \tabularnewline
41 & 21792 & 21858.9 & 20413 & 1.07083 & 0.996942 \tabularnewline
42 & 21493 & 21532.8 & 20416 & 1.0547 & 0.998151 \tabularnewline
43 & 20318 & 20194.8 & 20431.1 & 0.988435 & 1.0061 \tabularnewline
44 & 19726 & 19267.6 & 20455.8 & 0.941915 & 1.02379 \tabularnewline
45 & 20538 & 20301.6 & 20465 & 0.992016 & 1.01164 \tabularnewline
46 & 19434 & 18272.7 & 20464.8 & 0.892882 & 1.06356 \tabularnewline
47 & 20246 & 20017.4 & 20455.3 & 0.978589 & 1.01142 \tabularnewline
48 & 20389 & 20814.3 & 20409.3 & 1.01984 & 0.979568 \tabularnewline
49 & 20688 & 21315 & 20360.3 & 1.04689 & 0.970586 \tabularnewline
50 & 20026 & 20470.5 & 20308.4 & 1.00798 & 0.978288 \tabularnewline
51 & 20389 & 20155.5 & 20244.3 & 0.995612 & 1.01159 \tabularnewline
52 & 20610 & 20335.4 & 20128 & 1.01031 & 1.0135 \tabularnewline
53 & 21422 & 21386.1 & 19971.5 & 1.07083 & 1.00168 \tabularnewline
54 & 20759 & 20937.9 & 19851.9 & 1.0547 & 0.991455 \tabularnewline
55 & 19876 & 19540.5 & 19769.1 & 0.988435 & 1.01717 \tabularnewline
56 & 18921 & 18545.6 & 19689.2 & 0.941915 & 1.02024 \tabularnewline
57 & 19805 & 19425.7 & 19582 & 0.992016 & 1.01953 \tabularnewline
58 & 17375 & 17367 & 19450.5 & 0.892882 & 1.00046 \tabularnewline
59 & 18551 & 18884.1 & 19297.2 & 0.978589 & 0.982362 \tabularnewline
60 & 19213 & 19508.2 & 19128.7 & 1.01984 & 0.984868 \tabularnewline
61 & 19876 & 19842.6 & 18953.9 & 1.04689 & 1.00169 \tabularnewline
62 & 18921 & 18931.9 & 18782 & 1.00798 & 0.999422 \tabularnewline
63 & 18921 & 18522.3 & 18604 & 0.995612 & 1.02152 \tabularnewline
64 & 18921 & 18609.5 & 18419.6 & 1.01031 & 1.01674 \tabularnewline
65 & 19434 & 19543.5 & 18250.8 & 1.07083 & 0.9944 \tabularnewline
66 & 18701 & 19087.3 & 18097.3 & 1.0547 & 0.979759 \tabularnewline
67 & 17739 & 17721.4 & 17928.8 & 0.988435 & 1.00099 \tabularnewline
68 & 16934 & 16714 & 17744.7 & 0.941915 & 1.01316 \tabularnewline
69 & 17518 & 17429.3 & 17569.6 & 0.992016 & 1.00509 \tabularnewline
70 & 15238 & 15525.7 & 17388.2 & 0.892882 & 0.981472 \tabularnewline
71 & 16635 & 16838.8 & 17207.2 & 0.978589 & 0.987898 \tabularnewline
72 & 17447 & 17382.7 & 17044.5 & 1.01984 & 1.0037 \tabularnewline
73 & 17596 & 17679.9 & 16888 & 1.04689 & 0.995256 \tabularnewline
74 & 16784 & 16865.2 & 16731.6 & 1.00798 & 0.995187 \tabularnewline
75 & 16855 & 16532.9 & 16605.8 & 0.995612 & 1.01948 \tabularnewline
76 & 16635 & 16659.3 & 16489.4 & 1.01031 & 0.99854 \tabularnewline
77 & 17375 & 17529.5 & 16370 & 1.07083 & 0.991184 \tabularnewline
78 & 16855 & 17155.6 & 16265.8 & 1.0547 & 0.982475 \tabularnewline
79 & 15830 & 15968.3 & 16155.1 & 0.988435 & 0.991339 \tabularnewline
80 & 15089 & 15101 & 16032.2 & 0.941915 & 0.999205 \tabularnewline
81 & 16342 & 15737 & 15863.7 & 0.992016 & 1.03844 \tabularnewline
82 & 13621 & 13983.9 & 15661.5 & 0.892882 & 0.974048 \tabularnewline
83 & 15388 & 15137.1 & 15468.3 & 0.978589 & 1.01657 \tabularnewline
84 & 16193 & 15571.9 & 15268.9 & 1.01984 & 1.03989 \tabularnewline
85 & 16193 & 15750.5 & 15045.1 & 1.04689 & 1.02809 \tabularnewline
86 & 15238 & 14914.8 & 14796.7 & 1.00798 & 1.02167 \tabularnewline
87 & 14355 & 14466.1 & 14529.8 & 0.995612 & 0.992321 \tabularnewline
88 & 14284 & 14413 & 14266 & 1.01031 & 0.991048 \tabularnewline
89 & 15089 & 15026.6 & 14032.7 & 1.07083 & 1.00415 \tabularnewline
90 & 14355 & 14589.9 & 13833.2 & 1.0547 & 0.983897 \tabularnewline
91 & 12959 & 13506.6 & 13664.6 & 0.988435 & 0.95946 \tabularnewline
92 & 11997 & 12732.2 & 13517.4 & 0.941915 & 0.942256 \tabularnewline
93 & 13030 & 13263.4 & 13370.2 & 0.992016 & 0.982401 \tabularnewline
94 & 10601 & 11831.2 & 13250.5 & 0.892882 & 0.896023 \tabularnewline
95 & 12809 & 12861.7 & 13143.1 & 0.978589 & 0.995904 \tabularnewline
96 & 13984 & 13294.3 & 13035.6 & 1.01984 & 1.05188 \tabularnewline
97 & 14355 & 13521.2 & 12915.7 & 1.04689 & 1.06166 \tabularnewline
98 & 13543 & 12861 & 12759.2 & 1.00798 & 1.05303 \tabularnewline
99 & 12517 & 12532.4 & 12587.6 & 0.995612 & 0.998772 \tabularnewline
100 & 13251 & 12540.7 & 12412.8 & 1.01031 & 1.05664 \tabularnewline
101 & 13543 & 13117.8 & 12250.1 & 1.07083 & 1.03242 \tabularnewline
102 & 13322 & 12735.9 & 12075.3 & 1.0547 & 1.04602 \tabularnewline
103 & 11113 & 11759.9 & 11897.5 & 0.988435 & 0.94499 \tabularnewline
104 & 10088 & 11038.9 & 11719.7 & 0.941915 & 0.913857 \tabularnewline
105 & 10821 & 11437.3 & 11529.4 & 0.992016 & 0.946113 \tabularnewline
106 & 8613 & 10118.9 & 11332.8 & 0.892882 & 0.851181 \tabularnewline
107 & 10893 & 10892 & 11130.3 & 0.978589 & 1.00009 \tabularnewline
108 & 11705 & 11129.2 & 10912.7 & 1.01984 & 1.05174 \tabularnewline
109 & 12367 & 11180.8 & 10680 & 1.04689 & 1.1061 \tabularnewline
110 & 11263 & 10533.4 & 10450 & 1.00798 & 1.06927 \tabularnewline
111 & 10230 & 10183.9 & 10228.8 & 0.995612 & 1.00453 \tabularnewline
112 & 10821 & 10107.8 & 10004.7 & 1.01031 & 1.07056 \tabularnewline
113 & 11113 & 10479.9 & 9786.75 & 1.07083 & 1.06041 \tabularnewline
114 & 10529 & 10144.3 & 9618.12 & 1.0547 & 1.03792 \tabularnewline
115 & 8321 & NA & NA & 0.988435 & NA \tabularnewline
116 & 7359 & NA & NA & 0.941915 & NA \tabularnewline
117 & 8242 & NA & NA & 0.992016 & NA \tabularnewline
118 & 5813 & NA & NA & 0.892882 & NA \tabularnewline
119 & 8463 & NA & NA & 0.978589 & NA \tabularnewline
120 & 10088 & NA & NA & 1.01984 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279951&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]19064[/C][C]NA[/C][C]NA[/C][C]1.04689[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]18993[/C][C]NA[/C][C]NA[/C][C]1.00798[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]18921[/C][C]NA[/C][C]NA[/C][C]0.995612[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]18772[/C][C]NA[/C][C]NA[/C][C]1.01031[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]20246[/C][C]NA[/C][C]NA[/C][C]1.07083[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]20168[/C][C]NA[/C][C]NA[/C][C]1.0547[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]19064[/C][C]18726.9[/C][C]18946[/C][C]0.988435[/C][C]1.018[/C][/ROW]
[ROW][C]8[/C][C]18330[/C][C]17830.9[/C][C]18930.5[/C][C]0.941915[/C][C]1.02799[/C][/ROW]
[ROW][C]9[/C][C]18401[/C][C]18764.1[/C][C]18915.1[/C][C]0.992016[/C][C]0.980651[/C][/ROW]
[ROW][C]10[/C][C]18401[/C][C]16864.3[/C][C]18887.5[/C][C]0.892882[/C][C]1.09112[/C][/ROW]
[ROW][C]11[/C][C]18480[/C][C]18465.1[/C][C]18869.1[/C][C]0.978589[/C][C]1.00081[/C][/ROW]
[ROW][C]12[/C][C]18622[/C][C]19259.2[/C][C]18884.5[/C][C]1.01984[/C][C]0.966915[/C][/ROW]
[ROW][C]13[/C][C]18843[/C][C]19831.1[/C][C]18943[/C][C]1.04689[/C][C]0.950173[/C][/ROW]
[ROW][C]14[/C][C]18843[/C][C]19168.4[/C][C]19016.6[/C][C]1.00798[/C][C]0.983026[/C][/ROW]
[ROW][C]15[/C][C]18701[/C][C]19009.4[/C][C]19093.2[/C][C]0.995612[/C][C]0.983775[/C][/ROW]
[ROW][C]16[/C][C]18330[/C][C]19355.1[/C][C]19157.7[/C][C]1.01031[/C][C]0.947037[/C][/ROW]
[ROW][C]17[/C][C]20246[/C][C]20563.9[/C][C]19203.7[/C][C]1.07083[/C][C]0.984543[/C][/ROW]
[ROW][C]18[/C][C]20538[/C][C]20312.4[/C][C]19258.9[/C][C]1.0547[/C][C]1.01111[/C][/ROW]
[ROW][C]19[/C][C]20097[/C][C]19087.8[/C][C]19311.1[/C][C]0.988435[/C][C]1.05287[/C][/ROW]
[ROW][C]20[/C][C]19064[/C][C]18221.3[/C][C]19345[/C][C]0.941915[/C][C]1.04625[/C][/ROW]
[ROW][C]21[/C][C]19506[/C][C]19217.9[/C][C]19372.5[/C][C]0.992016[/C][C]1.01499[/C][/ROW]
[ROW][C]22[/C][C]18843[/C][C]17324.7[/C][C]19403.1[/C][C]0.892882[/C][C]1.08764[/C][/ROW]
[ROW][C]23[/C][C]19142[/C][C]18999.6[/C][C]19415.2[/C][C]0.978589[/C][C]1.0075[/C][/ROW]
[ROW][C]24[/C][C]19285[/C][C]19809.9[/C][C]19424.5[/C][C]1.01984[/C][C]0.973505[/C][/ROW]
[ROW][C]25[/C][C]19434[/C][C]20354.5[/C][C]19442.9[/C][C]1.04689[/C][C]0.954777[/C][/ROW]
[ROW][C]26[/C][C]19064[/C][C]19625.9[/C][C]19470.5[/C][C]1.00798[/C][C]0.971369[/C][/ROW]
[ROW][C]27[/C][C]19142[/C][C]19440[/C][C]19525.7[/C][C]0.995612[/C][C]0.984669[/C][/ROW]
[ROW][C]28[/C][C]18622[/C][C]19789[/C][C]19587.1[/C][C]1.01031[/C][C]0.941028[/C][/ROW]
[ROW][C]29[/C][C]20246[/C][C]21053.3[/C][C]19660.7[/C][C]1.07083[/C][C]0.961653[/C][/ROW]
[ROW][C]30[/C][C]20759[/C][C]20830.2[/C][C]19749.8[/C][C]1.0547[/C][C]0.996582[/C][/ROW]
[ROW][C]31[/C][C]20318[/C][C]19603.5[/C][C]19832.9[/C][C]0.988435[/C][C]1.03645[/C][/ROW]
[ROW][C]32[/C][C]19506[/C][C]18744.6[/C][C]19900.5[/C][C]0.941915[/C][C]1.04062[/C][/ROW]
[ROW][C]33[/C][C]20389[/C][C]19823.8[/C][C]19983.3[/C][C]0.992016[/C][C]1.02851[/C][/ROW]
[ROW][C]34[/C][C]19434[/C][C]17963.3[/C][C]20118.4[/C][C]0.892882[/C][C]1.08187[/C][/ROW]
[ROW][C]35[/C][C]20318[/C][C]19825.9[/C][C]20259.7[/C][C]0.978589[/C][C]1.02482[/C][/ROW]
[ROW][C]36[/C][C]20246[/C][C]20758.5[/C][C]20354.7[/C][C]1.01984[/C][C]0.97531[/C][/ROW]
[ROW][C]37[/C][C]20467[/C][C]21341[/C][C]20385.2[/C][C]1.04689[/C][C]0.959044[/C][/ROW]
[ROW][C]38[/C][C]19655[/C][C]20557.2[/C][C]20394.4[/C][C]1.00798[/C][C]0.956113[/C][/ROW]
[ROW][C]39[/C][C]20538[/C][C]20320.2[/C][C]20409.8[/C][C]0.995612[/C][C]1.01072[/C][/ROW]
[ROW][C]40[/C][C]20467[/C][C]20626.4[/C][C]20416[/C][C]1.01031[/C][C]0.992272[/C][/ROW]
[ROW][C]41[/C][C]21792[/C][C]21858.9[/C][C]20413[/C][C]1.07083[/C][C]0.996942[/C][/ROW]
[ROW][C]42[/C][C]21493[/C][C]21532.8[/C][C]20416[/C][C]1.0547[/C][C]0.998151[/C][/ROW]
[ROW][C]43[/C][C]20318[/C][C]20194.8[/C][C]20431.1[/C][C]0.988435[/C][C]1.0061[/C][/ROW]
[ROW][C]44[/C][C]19726[/C][C]19267.6[/C][C]20455.8[/C][C]0.941915[/C][C]1.02379[/C][/ROW]
[ROW][C]45[/C][C]20538[/C][C]20301.6[/C][C]20465[/C][C]0.992016[/C][C]1.01164[/C][/ROW]
[ROW][C]46[/C][C]19434[/C][C]18272.7[/C][C]20464.8[/C][C]0.892882[/C][C]1.06356[/C][/ROW]
[ROW][C]47[/C][C]20246[/C][C]20017.4[/C][C]20455.3[/C][C]0.978589[/C][C]1.01142[/C][/ROW]
[ROW][C]48[/C][C]20389[/C][C]20814.3[/C][C]20409.3[/C][C]1.01984[/C][C]0.979568[/C][/ROW]
[ROW][C]49[/C][C]20688[/C][C]21315[/C][C]20360.3[/C][C]1.04689[/C][C]0.970586[/C][/ROW]
[ROW][C]50[/C][C]20026[/C][C]20470.5[/C][C]20308.4[/C][C]1.00798[/C][C]0.978288[/C][/ROW]
[ROW][C]51[/C][C]20389[/C][C]20155.5[/C][C]20244.3[/C][C]0.995612[/C][C]1.01159[/C][/ROW]
[ROW][C]52[/C][C]20610[/C][C]20335.4[/C][C]20128[/C][C]1.01031[/C][C]1.0135[/C][/ROW]
[ROW][C]53[/C][C]21422[/C][C]21386.1[/C][C]19971.5[/C][C]1.07083[/C][C]1.00168[/C][/ROW]
[ROW][C]54[/C][C]20759[/C][C]20937.9[/C][C]19851.9[/C][C]1.0547[/C][C]0.991455[/C][/ROW]
[ROW][C]55[/C][C]19876[/C][C]19540.5[/C][C]19769.1[/C][C]0.988435[/C][C]1.01717[/C][/ROW]
[ROW][C]56[/C][C]18921[/C][C]18545.6[/C][C]19689.2[/C][C]0.941915[/C][C]1.02024[/C][/ROW]
[ROW][C]57[/C][C]19805[/C][C]19425.7[/C][C]19582[/C][C]0.992016[/C][C]1.01953[/C][/ROW]
[ROW][C]58[/C][C]17375[/C][C]17367[/C][C]19450.5[/C][C]0.892882[/C][C]1.00046[/C][/ROW]
[ROW][C]59[/C][C]18551[/C][C]18884.1[/C][C]19297.2[/C][C]0.978589[/C][C]0.982362[/C][/ROW]
[ROW][C]60[/C][C]19213[/C][C]19508.2[/C][C]19128.7[/C][C]1.01984[/C][C]0.984868[/C][/ROW]
[ROW][C]61[/C][C]19876[/C][C]19842.6[/C][C]18953.9[/C][C]1.04689[/C][C]1.00169[/C][/ROW]
[ROW][C]62[/C][C]18921[/C][C]18931.9[/C][C]18782[/C][C]1.00798[/C][C]0.999422[/C][/ROW]
[ROW][C]63[/C][C]18921[/C][C]18522.3[/C][C]18604[/C][C]0.995612[/C][C]1.02152[/C][/ROW]
[ROW][C]64[/C][C]18921[/C][C]18609.5[/C][C]18419.6[/C][C]1.01031[/C][C]1.01674[/C][/ROW]
[ROW][C]65[/C][C]19434[/C][C]19543.5[/C][C]18250.8[/C][C]1.07083[/C][C]0.9944[/C][/ROW]
[ROW][C]66[/C][C]18701[/C][C]19087.3[/C][C]18097.3[/C][C]1.0547[/C][C]0.979759[/C][/ROW]
[ROW][C]67[/C][C]17739[/C][C]17721.4[/C][C]17928.8[/C][C]0.988435[/C][C]1.00099[/C][/ROW]
[ROW][C]68[/C][C]16934[/C][C]16714[/C][C]17744.7[/C][C]0.941915[/C][C]1.01316[/C][/ROW]
[ROW][C]69[/C][C]17518[/C][C]17429.3[/C][C]17569.6[/C][C]0.992016[/C][C]1.00509[/C][/ROW]
[ROW][C]70[/C][C]15238[/C][C]15525.7[/C][C]17388.2[/C][C]0.892882[/C][C]0.981472[/C][/ROW]
[ROW][C]71[/C][C]16635[/C][C]16838.8[/C][C]17207.2[/C][C]0.978589[/C][C]0.987898[/C][/ROW]
[ROW][C]72[/C][C]17447[/C][C]17382.7[/C][C]17044.5[/C][C]1.01984[/C][C]1.0037[/C][/ROW]
[ROW][C]73[/C][C]17596[/C][C]17679.9[/C][C]16888[/C][C]1.04689[/C][C]0.995256[/C][/ROW]
[ROW][C]74[/C][C]16784[/C][C]16865.2[/C][C]16731.6[/C][C]1.00798[/C][C]0.995187[/C][/ROW]
[ROW][C]75[/C][C]16855[/C][C]16532.9[/C][C]16605.8[/C][C]0.995612[/C][C]1.01948[/C][/ROW]
[ROW][C]76[/C][C]16635[/C][C]16659.3[/C][C]16489.4[/C][C]1.01031[/C][C]0.99854[/C][/ROW]
[ROW][C]77[/C][C]17375[/C][C]17529.5[/C][C]16370[/C][C]1.07083[/C][C]0.991184[/C][/ROW]
[ROW][C]78[/C][C]16855[/C][C]17155.6[/C][C]16265.8[/C][C]1.0547[/C][C]0.982475[/C][/ROW]
[ROW][C]79[/C][C]15830[/C][C]15968.3[/C][C]16155.1[/C][C]0.988435[/C][C]0.991339[/C][/ROW]
[ROW][C]80[/C][C]15089[/C][C]15101[/C][C]16032.2[/C][C]0.941915[/C][C]0.999205[/C][/ROW]
[ROW][C]81[/C][C]16342[/C][C]15737[/C][C]15863.7[/C][C]0.992016[/C][C]1.03844[/C][/ROW]
[ROW][C]82[/C][C]13621[/C][C]13983.9[/C][C]15661.5[/C][C]0.892882[/C][C]0.974048[/C][/ROW]
[ROW][C]83[/C][C]15388[/C][C]15137.1[/C][C]15468.3[/C][C]0.978589[/C][C]1.01657[/C][/ROW]
[ROW][C]84[/C][C]16193[/C][C]15571.9[/C][C]15268.9[/C][C]1.01984[/C][C]1.03989[/C][/ROW]
[ROW][C]85[/C][C]16193[/C][C]15750.5[/C][C]15045.1[/C][C]1.04689[/C][C]1.02809[/C][/ROW]
[ROW][C]86[/C][C]15238[/C][C]14914.8[/C][C]14796.7[/C][C]1.00798[/C][C]1.02167[/C][/ROW]
[ROW][C]87[/C][C]14355[/C][C]14466.1[/C][C]14529.8[/C][C]0.995612[/C][C]0.992321[/C][/ROW]
[ROW][C]88[/C][C]14284[/C][C]14413[/C][C]14266[/C][C]1.01031[/C][C]0.991048[/C][/ROW]
[ROW][C]89[/C][C]15089[/C][C]15026.6[/C][C]14032.7[/C][C]1.07083[/C][C]1.00415[/C][/ROW]
[ROW][C]90[/C][C]14355[/C][C]14589.9[/C][C]13833.2[/C][C]1.0547[/C][C]0.983897[/C][/ROW]
[ROW][C]91[/C][C]12959[/C][C]13506.6[/C][C]13664.6[/C][C]0.988435[/C][C]0.95946[/C][/ROW]
[ROW][C]92[/C][C]11997[/C][C]12732.2[/C][C]13517.4[/C][C]0.941915[/C][C]0.942256[/C][/ROW]
[ROW][C]93[/C][C]13030[/C][C]13263.4[/C][C]13370.2[/C][C]0.992016[/C][C]0.982401[/C][/ROW]
[ROW][C]94[/C][C]10601[/C][C]11831.2[/C][C]13250.5[/C][C]0.892882[/C][C]0.896023[/C][/ROW]
[ROW][C]95[/C][C]12809[/C][C]12861.7[/C][C]13143.1[/C][C]0.978589[/C][C]0.995904[/C][/ROW]
[ROW][C]96[/C][C]13984[/C][C]13294.3[/C][C]13035.6[/C][C]1.01984[/C][C]1.05188[/C][/ROW]
[ROW][C]97[/C][C]14355[/C][C]13521.2[/C][C]12915.7[/C][C]1.04689[/C][C]1.06166[/C][/ROW]
[ROW][C]98[/C][C]13543[/C][C]12861[/C][C]12759.2[/C][C]1.00798[/C][C]1.05303[/C][/ROW]
[ROW][C]99[/C][C]12517[/C][C]12532.4[/C][C]12587.6[/C][C]0.995612[/C][C]0.998772[/C][/ROW]
[ROW][C]100[/C][C]13251[/C][C]12540.7[/C][C]12412.8[/C][C]1.01031[/C][C]1.05664[/C][/ROW]
[ROW][C]101[/C][C]13543[/C][C]13117.8[/C][C]12250.1[/C][C]1.07083[/C][C]1.03242[/C][/ROW]
[ROW][C]102[/C][C]13322[/C][C]12735.9[/C][C]12075.3[/C][C]1.0547[/C][C]1.04602[/C][/ROW]
[ROW][C]103[/C][C]11113[/C][C]11759.9[/C][C]11897.5[/C][C]0.988435[/C][C]0.94499[/C][/ROW]
[ROW][C]104[/C][C]10088[/C][C]11038.9[/C][C]11719.7[/C][C]0.941915[/C][C]0.913857[/C][/ROW]
[ROW][C]105[/C][C]10821[/C][C]11437.3[/C][C]11529.4[/C][C]0.992016[/C][C]0.946113[/C][/ROW]
[ROW][C]106[/C][C]8613[/C][C]10118.9[/C][C]11332.8[/C][C]0.892882[/C][C]0.851181[/C][/ROW]
[ROW][C]107[/C][C]10893[/C][C]10892[/C][C]11130.3[/C][C]0.978589[/C][C]1.00009[/C][/ROW]
[ROW][C]108[/C][C]11705[/C][C]11129.2[/C][C]10912.7[/C][C]1.01984[/C][C]1.05174[/C][/ROW]
[ROW][C]109[/C][C]12367[/C][C]11180.8[/C][C]10680[/C][C]1.04689[/C][C]1.1061[/C][/ROW]
[ROW][C]110[/C][C]11263[/C][C]10533.4[/C][C]10450[/C][C]1.00798[/C][C]1.06927[/C][/ROW]
[ROW][C]111[/C][C]10230[/C][C]10183.9[/C][C]10228.8[/C][C]0.995612[/C][C]1.00453[/C][/ROW]
[ROW][C]112[/C][C]10821[/C][C]10107.8[/C][C]10004.7[/C][C]1.01031[/C][C]1.07056[/C][/ROW]
[ROW][C]113[/C][C]11113[/C][C]10479.9[/C][C]9786.75[/C][C]1.07083[/C][C]1.06041[/C][/ROW]
[ROW][C]114[/C][C]10529[/C][C]10144.3[/C][C]9618.12[/C][C]1.0547[/C][C]1.03792[/C][/ROW]
[ROW][C]115[/C][C]8321[/C][C]NA[/C][C]NA[/C][C]0.988435[/C][C]NA[/C][/ROW]
[ROW][C]116[/C][C]7359[/C][C]NA[/C][C]NA[/C][C]0.941915[/C][C]NA[/C][/ROW]
[ROW][C]117[/C][C]8242[/C][C]NA[/C][C]NA[/C][C]0.992016[/C][C]NA[/C][/ROW]
[ROW][C]118[/C][C]5813[/C][C]NA[/C][C]NA[/C][C]0.892882[/C][C]NA[/C][/ROW]
[ROW][C]119[/C][C]8463[/C][C]NA[/C][C]NA[/C][C]0.978589[/C][C]NA[/C][/ROW]
[ROW][C]120[/C][C]10088[/C][C]NA[/C][C]NA[/C][C]1.01984[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279951&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279951&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	19064	NA	NA	1.04689	NA
2	18993	NA	NA	1.00798	NA
3	18921	NA	NA	0.995612	NA
4	18772	NA	NA	1.01031	NA
5	20246	NA	NA	1.07083	NA
6	20168	NA	NA	1.0547	NA
7	19064	18726.9	18946	0.988435	1.018
8	18330	17830.9	18930.5	0.941915	1.02799
9	18401	18764.1	18915.1	0.992016	0.980651
10	18401	16864.3	18887.5	0.892882	1.09112
11	18480	18465.1	18869.1	0.978589	1.00081
12	18622	19259.2	18884.5	1.01984	0.966915
13	18843	19831.1	18943	1.04689	0.950173
14	18843	19168.4	19016.6	1.00798	0.983026
15	18701	19009.4	19093.2	0.995612	0.983775
16	18330	19355.1	19157.7	1.01031	0.947037
17	20246	20563.9	19203.7	1.07083	0.984543
18	20538	20312.4	19258.9	1.0547	1.01111
19	20097	19087.8	19311.1	0.988435	1.05287
20	19064	18221.3	19345	0.941915	1.04625
21	19506	19217.9	19372.5	0.992016	1.01499
22	18843	17324.7	19403.1	0.892882	1.08764
23	19142	18999.6	19415.2	0.978589	1.0075
24	19285	19809.9	19424.5	1.01984	0.973505
25	19434	20354.5	19442.9	1.04689	0.954777
26	19064	19625.9	19470.5	1.00798	0.971369
27	19142	19440	19525.7	0.995612	0.984669
28	18622	19789	19587.1	1.01031	0.941028
29	20246	21053.3	19660.7	1.07083	0.961653
30	20759	20830.2	19749.8	1.0547	0.996582
31	20318	19603.5	19832.9	0.988435	1.03645
32	19506	18744.6	19900.5	0.941915	1.04062
33	20389	19823.8	19983.3	0.992016	1.02851
34	19434	17963.3	20118.4	0.892882	1.08187
35	20318	19825.9	20259.7	0.978589	1.02482
36	20246	20758.5	20354.7	1.01984	0.97531
37	20467	21341	20385.2	1.04689	0.959044
38	19655	20557.2	20394.4	1.00798	0.956113
39	20538	20320.2	20409.8	0.995612	1.01072
40	20467	20626.4	20416	1.01031	0.992272
41	21792	21858.9	20413	1.07083	0.996942
42	21493	21532.8	20416	1.0547	0.998151
43	20318	20194.8	20431.1	0.988435	1.0061
44	19726	19267.6	20455.8	0.941915	1.02379
45	20538	20301.6	20465	0.992016	1.01164
46	19434	18272.7	20464.8	0.892882	1.06356
47	20246	20017.4	20455.3	0.978589	1.01142
48	20389	20814.3	20409.3	1.01984	0.979568
49	20688	21315	20360.3	1.04689	0.970586
50	20026	20470.5	20308.4	1.00798	0.978288
51	20389	20155.5	20244.3	0.995612	1.01159
52	20610	20335.4	20128	1.01031	1.0135
53	21422	21386.1	19971.5	1.07083	1.00168
54	20759	20937.9	19851.9	1.0547	0.991455
55	19876	19540.5	19769.1	0.988435	1.01717
56	18921	18545.6	19689.2	0.941915	1.02024
57	19805	19425.7	19582	0.992016	1.01953
58	17375	17367	19450.5	0.892882	1.00046
59	18551	18884.1	19297.2	0.978589	0.982362
60	19213	19508.2	19128.7	1.01984	0.984868
61	19876	19842.6	18953.9	1.04689	1.00169
62	18921	18931.9	18782	1.00798	0.999422
63	18921	18522.3	18604	0.995612	1.02152
64	18921	18609.5	18419.6	1.01031	1.01674
65	19434	19543.5	18250.8	1.07083	0.9944
66	18701	19087.3	18097.3	1.0547	0.979759
67	17739	17721.4	17928.8	0.988435	1.00099
68	16934	16714	17744.7	0.941915	1.01316
69	17518	17429.3	17569.6	0.992016	1.00509
70	15238	15525.7	17388.2	0.892882	0.981472
71	16635	16838.8	17207.2	0.978589	0.987898
72	17447	17382.7	17044.5	1.01984	1.0037
73	17596	17679.9	16888	1.04689	0.995256
74	16784	16865.2	16731.6	1.00798	0.995187
75	16855	16532.9	16605.8	0.995612	1.01948
76	16635	16659.3	16489.4	1.01031	0.99854
77	17375	17529.5	16370	1.07083	0.991184
78	16855	17155.6	16265.8	1.0547	0.982475
79	15830	15968.3	16155.1	0.988435	0.991339
80	15089	15101	16032.2	0.941915	0.999205
81	16342	15737	15863.7	0.992016	1.03844
82	13621	13983.9	15661.5	0.892882	0.974048
83	15388	15137.1	15468.3	0.978589	1.01657
84	16193	15571.9	15268.9	1.01984	1.03989
85	16193	15750.5	15045.1	1.04689	1.02809
86	15238	14914.8	14796.7	1.00798	1.02167
87	14355	14466.1	14529.8	0.995612	0.992321
88	14284	14413	14266	1.01031	0.991048
89	15089	15026.6	14032.7	1.07083	1.00415
90	14355	14589.9	13833.2	1.0547	0.983897
91	12959	13506.6	13664.6	0.988435	0.95946
92	11997	12732.2	13517.4	0.941915	0.942256
93	13030	13263.4	13370.2	0.992016	0.982401
94	10601	11831.2	13250.5	0.892882	0.896023
95	12809	12861.7	13143.1	0.978589	0.995904
96	13984	13294.3	13035.6	1.01984	1.05188
97	14355	13521.2	12915.7	1.04689	1.06166
98	13543	12861	12759.2	1.00798	1.05303
99	12517	12532.4	12587.6	0.995612	0.998772
100	13251	12540.7	12412.8	1.01031	1.05664
101	13543	13117.8	12250.1	1.07083	1.03242
102	13322	12735.9	12075.3	1.0547	1.04602
103	11113	11759.9	11897.5	0.988435	0.94499
104	10088	11038.9	11719.7	0.941915	0.913857
105	10821	11437.3	11529.4	0.992016	0.946113
106	8613	10118.9	11332.8	0.892882	0.851181
107	10893	10892	11130.3	0.978589	1.00009
108	11705	11129.2	10912.7	1.01984	1.05174
109	12367	11180.8	10680	1.04689	1.1061
110	11263	10533.4	10450	1.00798	1.06927
111	10230	10183.9	10228.8	0.995612	1.00453
112	10821	10107.8	10004.7	1.01031	1.07056
113	11113	10479.9	9786.75	1.07083	1.06041
114	10529	10144.3	9618.12	1.0547	1.03792
115	8321	NA	NA	0.988435	NA
116	7359	NA	NA	0.941915	NA
117	8242	NA	NA	0.992016	NA
118	5813	NA	NA	0.892882	NA
119	8463	NA	NA	0.978589	NA
120	10088	NA	NA	1.01984	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$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,signif(m$trend[i]+m$seasonal[i],6)) else a<-table.element(a,signif(m$trend[i]*m$seasonal[i],6))
a<-table.element(a,signif(m$trend[i],6))
a<-table.element(a,signif(m$seasonal[i],6))
a<-table.element(a,signif(m$random[i],6))
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