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rwasp_decomposeloess.wasp

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Decomposition by Loess

Date of computation

Tue, 29 Nov 2011 18:01:32 -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/29/t1322607756klgdpapdded0d4a.htm/, Retrieved Wed, 24 Apr 2024 13:12:41 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=148779, Retrieved Wed, 24 Apr 2024 13:12:41 +0000

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User-defined keywords

Estimated Impact

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

F     [Univariate Data Series] [HPC Retail Sales] [2008-03-02 15:42:48] [74be16979710d4c4e7c6647856088456]
- RMPD    [Decomposition by Loess] [WS8- D.Loess] [2011-11-29 23:01:32] [8aedcf735e397266388b06f47fe45218] [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	1 seconds
R Server	'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148779&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148779&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148779&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	1 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Seasonal Decomposition by Loess - Parameters
Component	Window	Degree	Jump
Seasonal	1331	0	134
Trend	19	1	2
Low-pass	13	1	2

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Parameters \tabularnewline
Component & Window & Degree & Jump \tabularnewline
Seasonal & 1331 & 0 & 134 \tabularnewline
Trend & 19 & 1 & 2 \tabularnewline
Low-pass & 13 & 1 & 2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148779&T=1

[TABLE]
[ROW][C]Seasonal Decomposition by Loess - Parameters[/C][/ROW]
[ROW][C]Component[/C][C]Window[/C][C]Degree[/C][C]Jump[/C][/ROW]
[ROW][C]Seasonal[/C][C]1331[/C][C]0[/C][C]134[/C][/ROW]
[ROW][C]Trend[/C][C]19[/C][C]1[/C][C]2[/C][/ROW]
[ROW][C]Low-pass[/C][C]13[/C][C]1[/C][C]2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148779&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148779&T=1

As an alternative you can also use a QR Code:

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

Seasonal Decomposition by Loess - Parameters
Component	Window	Degree	Jump
Seasonal	1331	0	134
Trend	19	1	2
Low-pass	13	1	2

Seasonal Decomposition by Loess - Time Series Components
t	Observed	Fitted	Seasonal	Trend	Remainder
1	127	121.057737122755	-2.28446337069298	135.226726247938	-5.94226287724499
2	128.7	122.613382752736	0.854102390382445	133.932514856882	-6.0866172472644
3	127.3	117.64132894306	4.32036759111424	132.638303465826	-9.65867105694015
4	136.7	136.177522984379	6.18952008059986	131.032956935021	-0.522477015620524
5	133.8	132.668264066211	5.50412552957322	129.427610404215	-1.13173593378858
6	137.2	143.36130015787	3.46930763234135	127.569392209788	6.16130015787037
7	147.4	166.172519097363	2.91630688727545	125.711174015361	18.7725190973634
8	137.6	151.7100849691	-0.297169712664176	123.787084743564	14.1100849691001
9	123.6	129.965832536602	-4.62882800836901	121.862995471767	6.36583253660196
10	117.4	121.165891109338	-5.29970813905148	118.933817029713	3.76589110933811
11	113.7	117.93867734381	-6.54331593147	116.00463858766	4.23867734381029
12	106.8	105.638222303596	-4.20024380358589	112.16202149999	-1.1617776964038
13	103.3	100.565058958373	-2.28446337069298	108.31940441232	-2.7349410416267
14	96.3	86.5418721433028	0.854102390382445	105.204025466315	-9.75812785669724
15	96.2	85.9909858885759	4.32036759111424	102.08864652031	-10.2090141114241
16	94.7	82.8846372087884	6.18952008059986	100.325842710612	-11.8153627912116
17	94.6	85.1328355695131	5.50412552957322	98.5630389009136	-9.46716443048685
18	95.7	90.0661225337541	3.46930763234135	97.8645698339046	-5.63387746624591
19	106.7	113.317592345829	2.91630688727545	97.1661007668955	6.61759234582902
20	100.2	103.875840968024	-0.297169712664176	96.8213287446404	3.67584096802381
21	94.2	96.5522712859838	-4.62882800836901	96.4765567223852	2.3522712859838
22	97.6	104.897566418564	-5.29970813905148	95.6021417204876	7.29756641856392
23	94.3	100.41558921288	-6.54331593147	94.7277267185899	6.11558921288011
24	98	107.64278944262	-4.20024380358589	92.5574543609663	9.64278944261957
25	93.6	99.0972813673502	-2.28446337069298	90.3871820033427	5.49728136735024
26	86.3	84.7704507522267	0.854102390382445	86.9754468573909	-1.52954924777332
27	90.7	93.5159206974468	4.32036759111424	83.563711711439	2.81592069744678
28	81.8	77.507029690087	6.18952008059986	79.9034502293131	-4.292970309913
29	87.6	93.4526857232395	5.50412552957322	76.2431887471873	5.8526857232395
30	73.8	69.9469228209871	3.46930763234135	74.1837695466716	-3.8530771790129
31	63.3	51.5593427665687	2.91630688727545	72.1243503461559	-11.7406572334313
32	59.1	44.6148702322628	-0.297169712664176	73.8822994804014	-14.4851297677372
33	52.9	34.7885793937221	-4.62882800836901	75.6402486146469	-18.1114206062779
34	54.6	33.0681647611691	-5.29970813905148	81.4315433778824	-21.5318352388309
35	52.4	24.1204777903521	-6.54331593147	87.2228381411179	-28.2795222096479
36	67.5	44.3159730784627	-4.20024380358589	94.8842707251232	-23.1840269215373
37	90.4	80.5387600615644	-2.28446337069298	102.545703309129	-9.86123993843557
38	126	141.333087908775	0.854102390382445	109.812809700843	15.3330879087747
39	144.3	167.199716316329	4.32036759111424	117.079916092557	22.8997163163286
40	167.8	206.934442313705	6.18952008059986	122.476037605695	39.1344423137054
41	166.2	199.023715351594	5.50412552957322	127.872159118832	32.8237153515945
42	156	178.591653179877	3.46930763234135	129.939039187782	22.5916531798766
43	137	139.077773855993	2.91630688727545	132.005919256732	2.07777385599272
44	129.3	129.377653281886	-0.297169712664176	129.519516430778	0.077653281886171
45	118	113.595714403545	-4.62882800836901	127.033113604824	-4.40428559645522
46	114.7	113.151588706796	-5.29970813905148	121.548119432255	-1.5484112932037
47	112.8	116.080190671784	-6.54331593147	116.063125259686	3.28019067178388
48	115.7	125.200081562583	-4.20024380358589	110.400162241003	9.50008156258319
49	103.9	105.347264148374	-2.28446337069298	104.737199222319	1.44726414837368
50	96.9	92.8895746046915	0.854102390382445	100.056323004926	-4.01042539530854
51	88.8	77.9041856213529	4.32036759111424	95.3754467875329	-10.8958143786471
52	93	88.2855354182884	6.18952008059986	91.5249445011118	-4.71446458171162
53	86.3	79.4214322557361	5.50412552957322	87.6744422146906	-6.87856774426386
54	82.3	76.2597052495016	3.46930763234135	84.870987118157	-6.04029475049836
55	82.4	79.8161610911012	2.91630688727545	82.0675320216234	-2.58383890889884
56	76.6	72.7311759313462	-0.297169712664176	80.7659937813179	-3.86882406865375
57	72.7	70.5643724673566	-4.62882800836901	79.4644555410124	-2.13562753264341
58	67.5	60.9821347254329	-5.29970813905148	79.3175734136186	-6.51786527456709
59	77.3	81.9726246452453	-6.54331593147	79.1706912862247	4.67262464524532
60	73.7	72.1177314515515	-4.20024380358589	79.4825123520344	-1.58226854844854
61	73	68.4901299528488	-2.28446337069298	79.7943334178442	-4.5098700471512
62	78.2	75.3922555083137	0.854102390382445	80.1536421013039	-2.80774449168634
63	90.7	96.5666816241222	4.32036759111424	80.5129507847636	5.86668162412215
64	91.5	96.0643529819128	6.18952008059986	80.7461269374874	4.56435298191276
65	86.3	86.1165713802156	5.50412552957322	80.9793030902111	-0.183428619784351
66	86.8	89.267704544035	3.46930763234135	80.8629878236236	2.46770454403503
67	86.1	88.5370205556884	2.91630688727545	80.7466725570361	2.43702055568841
68	77.1	74.303282750342	-0.297169712664176	80.1938869623222	-2.79671724965803
69	75.7	76.3877266407608	-4.62882800836901	79.6411013676083	0.687726640760758
70	78.7	84.3009984776169	-5.29970813905148	78.3987096614346	5.60099847761686
71	71.5	72.386997976209	-6.54331593147	77.156317955261	0.886997976209031
72	69.6	67.9145830448514	-4.20024380358589	75.4856607587345	-1.68541695514858
73	73.6	75.669459808485	-2.28446337069298	73.8150035622079	2.06945980848502
74	78.1	83.2941817234428	0.854102390382445	72.0517158861747	5.19418172344281
75	78.3	81.9912041987442	4.32036759111424	70.2884282101415	3.69120419874424
76	71.5	68.2804839868477	6.18952008059986	68.5299959325524	-3.2195160131523
77	68.7	65.1243108154634	5.50412552957322	66.7715636549634	-3.57568918453657
78	61.2	53.7990399810343	3.46930763234135	65.1316523866244	-7.40096001896573
79	64.7	62.9919519944392	2.91630688727545	63.4917411182854	-1.70804800556083
80	64.6	67.6453886645676	-0.297169712664176	61.8517810480965	3.04538866456762
81	56.3	57.0170070304613	-4.62882800836901	60.2118209779077	0.717007030461311
82	54.5	55.8117458385227	-5.29970813905148	58.4879623005287	1.31174583852273
83	49.5	48.7792123083202	-6.54331593147	56.7641036231498	-0.720787691679817
84	54	57.2401124783773	-4.20024380358589	54.9601313252085	3.24011247837735
85	59.2	67.5283043434257	-2.28446337069298	53.1561590272673	8.32830434342571
86	52.4	52.5699085604796	0.854102390382445	51.3759890491379	0.169908560479612
87	52.8	51.6838133378771	4.32036759111424	49.5958190710086	-1.11618666212286
88	47.8	41.3249417598978	6.18952008059986	48.0855381595024	-6.47505824010222
89	45.2	38.3206172224307	5.50412552957322	46.5752572479961	-6.87938277756931
90	47.1	45.4764659144496	3.46930763234135	45.2542264532091	-1.62353408555043
91	42.6	38.3504974543025	2.91630688727545	43.9331956584221	-4.24950254569752
92	42.1	41.7491096803803	-0.297169712664176	42.7480600322839	-0.350890319619737
93	39.4	41.8659036022233	-4.62882800836901	41.5629244061457	2.46590360222326
94	39.6	43.9710203309967	-5.29970813905148	40.5286878080548	4.37102033099672
95	37.8	42.6488647215062	-6.54331593147	39.4944512099638	4.84886472150622
96	36.8	39.3498574075539	-4.20024380358589	38.4503863960319	2.54985740755394
97	36.5	37.8781417885929	-2.28446337069298	37.4063215821001	1.37814178859286
98	34	30.4632011303772	0.854102390382445	36.6826964792403	-3.53679886962279
99	37.5	34.7205610325052	4.32036759111424	35.9590713763806	-2.77943896749481
100	36.1	30.2982944409133	6.18952008059986	35.7121854784869	-5.80170555908673
101	35.1	29.2305748898336	5.50412552957322	35.4652995805932	-5.86942511016638
102	32.8	26.5992446571884	3.46930763234135	35.5314477104703	-6.20075534281163
103	32.2	25.8860972723772	2.91630688727545	35.5975958403474	-6.31390272762283
104	38.1	40.7618025531393	-0.297169712664176	35.7353671595249	2.6618025531393
105	41.4	51.5556895296666	-4.62882800836901	35.8731384787024	10.1556895296666
106	38.5	46.5164784605832	-5.29970813905148	35.7832296784682	8.01647846058324
107	34.6	40.0499950532359	-6.54331593147	35.6933208782341	5.44999505323593
108	31.2	31.3915509744141	-4.20024380358589	35.2086928291718	0.191550974414142
109	34.7	36.9603985905836	-2.28446337069298	34.7240647801094	2.26039859058355
110	35.8	36.9382788416695	0.854102390382445	33.807618767948	1.13827884166951
111	33.8	30.3884596530991	4.32036759111424	32.8911727557866	-3.41154034690089
112	32.5	26.9302372045813	6.18952008059986	31.8802427148189	-5.56976279541873
113	31.2	26.0265617965757	5.50412552957322	30.8693126738511	-5.17343820342431
114	32.5	31.2879551034222	3.46930763234135	30.2427372642364	-1.21204489657779
115	32.3	32.0675312581027	2.91630688727545	29.6161618546218	-0.232468741897247
116	30.1	31.0999687034296	-0.297169712664176	29.3972010092346	0.999968703429591
117	25.3	26.0505878445216	-4.62882800836901	29.1782401638474	0.750587844521625
118	24.5	25.1082088433106	-5.29970813905148	29.1914992957409	0.608208843310575
119	23.7	24.7385575038356	-6.54331593147	29.2047584276344	1.03855750383557
120	23.8	22.5216207107213	-4.20024380358589	29.2786230928646	-1.2783792892787
121	26.9	26.7319756125982	-2.28446337069298	29.3524877580948	-0.168024387401775
122	32.4	34.3156186273732	0.854102390382445	29.6302789822444	1.91561862737317
123	32.6	30.9715622024918	4.32036759111424	29.908070206394	-1.62843779750824
124	31.7	26.4277879777711	6.18952008059986	30.7826919416291	-5.27221202222893
125	34.1	31.0385607935627	5.50412552957322	31.6573136768641	-3.06143920643734
126	34.9	33.4496450998463	3.46930763234135	32.8810472678123	-1.45035490015368
127	33.1	29.178912253964	2.91630688727545	34.1047808587605	-3.92108774603598
128	32.3	29.5350804970501	-0.297169712664176	35.362089215614	-2.76491950294987
129	34.6	37.2094304359014	-4.62882800836901	36.6193975724676	2.60943043590144
130	32.7	32.7444707043071	-5.29970813905148	37.9552374347444	0.0444707043070593
131	32.6	32.4522386344487	-6.54331593147	39.2910772970213	-0.147761365551261
132	41	45.4885208704516	-4.20024380358589	40.7117229331342	4.48852087045164
133	40	40.1520948014457	-2.28446337069298	42.1323685692472	0.152094801445749

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Time Series Components \tabularnewline
t & Observed & Fitted & Seasonal & Trend & Remainder \tabularnewline
1 & 127 & 121.057737122755 & -2.28446337069298 & 135.226726247938 & -5.94226287724499 \tabularnewline
2 & 128.7 & 122.613382752736 & 0.854102390382445 & 133.932514856882 & -6.0866172472644 \tabularnewline
3 & 127.3 & 117.64132894306 & 4.32036759111424 & 132.638303465826 & -9.65867105694015 \tabularnewline
4 & 136.7 & 136.177522984379 & 6.18952008059986 & 131.032956935021 & -0.522477015620524 \tabularnewline
5 & 133.8 & 132.668264066211 & 5.50412552957322 & 129.427610404215 & -1.13173593378858 \tabularnewline
6 & 137.2 & 143.36130015787 & 3.46930763234135 & 127.569392209788 & 6.16130015787037 \tabularnewline
7 & 147.4 & 166.172519097363 & 2.91630688727545 & 125.711174015361 & 18.7725190973634 \tabularnewline
8 & 137.6 & 151.7100849691 & -0.297169712664176 & 123.787084743564 & 14.1100849691001 \tabularnewline
9 & 123.6 & 129.965832536602 & -4.62882800836901 & 121.862995471767 & 6.36583253660196 \tabularnewline
10 & 117.4 & 121.165891109338 & -5.29970813905148 & 118.933817029713 & 3.76589110933811 \tabularnewline
11 & 113.7 & 117.93867734381 & -6.54331593147 & 116.00463858766 & 4.23867734381029 \tabularnewline
12 & 106.8 & 105.638222303596 & -4.20024380358589 & 112.16202149999 & -1.1617776964038 \tabularnewline
13 & 103.3 & 100.565058958373 & -2.28446337069298 & 108.31940441232 & -2.7349410416267 \tabularnewline
14 & 96.3 & 86.5418721433028 & 0.854102390382445 & 105.204025466315 & -9.75812785669724 \tabularnewline
15 & 96.2 & 85.9909858885759 & 4.32036759111424 & 102.08864652031 & -10.2090141114241 \tabularnewline
16 & 94.7 & 82.8846372087884 & 6.18952008059986 & 100.325842710612 & -11.8153627912116 \tabularnewline
17 & 94.6 & 85.1328355695131 & 5.50412552957322 & 98.5630389009136 & -9.46716443048685 \tabularnewline
18 & 95.7 & 90.0661225337541 & 3.46930763234135 & 97.8645698339046 & -5.63387746624591 \tabularnewline
19 & 106.7 & 113.317592345829 & 2.91630688727545 & 97.1661007668955 & 6.61759234582902 \tabularnewline
20 & 100.2 & 103.875840968024 & -0.297169712664176 & 96.8213287446404 & 3.67584096802381 \tabularnewline
21 & 94.2 & 96.5522712859838 & -4.62882800836901 & 96.4765567223852 & 2.3522712859838 \tabularnewline
22 & 97.6 & 104.897566418564 & -5.29970813905148 & 95.6021417204876 & 7.29756641856392 \tabularnewline
23 & 94.3 & 100.41558921288 & -6.54331593147 & 94.7277267185899 & 6.11558921288011 \tabularnewline
24 & 98 & 107.64278944262 & -4.20024380358589 & 92.5574543609663 & 9.64278944261957 \tabularnewline
25 & 93.6 & 99.0972813673502 & -2.28446337069298 & 90.3871820033427 & 5.49728136735024 \tabularnewline
26 & 86.3 & 84.7704507522267 & 0.854102390382445 & 86.9754468573909 & -1.52954924777332 \tabularnewline
27 & 90.7 & 93.5159206974468 & 4.32036759111424 & 83.563711711439 & 2.81592069744678 \tabularnewline
28 & 81.8 & 77.507029690087 & 6.18952008059986 & 79.9034502293131 & -4.292970309913 \tabularnewline
29 & 87.6 & 93.4526857232395 & 5.50412552957322 & 76.2431887471873 & 5.8526857232395 \tabularnewline
30 & 73.8 & 69.9469228209871 & 3.46930763234135 & 74.1837695466716 & -3.8530771790129 \tabularnewline
31 & 63.3 & 51.5593427665687 & 2.91630688727545 & 72.1243503461559 & -11.7406572334313 \tabularnewline
32 & 59.1 & 44.6148702322628 & -0.297169712664176 & 73.8822994804014 & -14.4851297677372 \tabularnewline
33 & 52.9 & 34.7885793937221 & -4.62882800836901 & 75.6402486146469 & -18.1114206062779 \tabularnewline
34 & 54.6 & 33.0681647611691 & -5.29970813905148 & 81.4315433778824 & -21.5318352388309 \tabularnewline
35 & 52.4 & 24.1204777903521 & -6.54331593147 & 87.2228381411179 & -28.2795222096479 \tabularnewline
36 & 67.5 & 44.3159730784627 & -4.20024380358589 & 94.8842707251232 & -23.1840269215373 \tabularnewline
37 & 90.4 & 80.5387600615644 & -2.28446337069298 & 102.545703309129 & -9.86123993843557 \tabularnewline
38 & 126 & 141.333087908775 & 0.854102390382445 & 109.812809700843 & 15.3330879087747 \tabularnewline
39 & 144.3 & 167.199716316329 & 4.32036759111424 & 117.079916092557 & 22.8997163163286 \tabularnewline
40 & 167.8 & 206.934442313705 & 6.18952008059986 & 122.476037605695 & 39.1344423137054 \tabularnewline
41 & 166.2 & 199.023715351594 & 5.50412552957322 & 127.872159118832 & 32.8237153515945 \tabularnewline
42 & 156 & 178.591653179877 & 3.46930763234135 & 129.939039187782 & 22.5916531798766 \tabularnewline
43 & 137 & 139.077773855993 & 2.91630688727545 & 132.005919256732 & 2.07777385599272 \tabularnewline
44 & 129.3 & 129.377653281886 & -0.297169712664176 & 129.519516430778 & 0.077653281886171 \tabularnewline
45 & 118 & 113.595714403545 & -4.62882800836901 & 127.033113604824 & -4.40428559645522 \tabularnewline
46 & 114.7 & 113.151588706796 & -5.29970813905148 & 121.548119432255 & -1.5484112932037 \tabularnewline
47 & 112.8 & 116.080190671784 & -6.54331593147 & 116.063125259686 & 3.28019067178388 \tabularnewline
48 & 115.7 & 125.200081562583 & -4.20024380358589 & 110.400162241003 & 9.50008156258319 \tabularnewline
49 & 103.9 & 105.347264148374 & -2.28446337069298 & 104.737199222319 & 1.44726414837368 \tabularnewline
50 & 96.9 & 92.8895746046915 & 0.854102390382445 & 100.056323004926 & -4.01042539530854 \tabularnewline
51 & 88.8 & 77.9041856213529 & 4.32036759111424 & 95.3754467875329 & -10.8958143786471 \tabularnewline
52 & 93 & 88.2855354182884 & 6.18952008059986 & 91.5249445011118 & -4.71446458171162 \tabularnewline
53 & 86.3 & 79.4214322557361 & 5.50412552957322 & 87.6744422146906 & -6.87856774426386 \tabularnewline
54 & 82.3 & 76.2597052495016 & 3.46930763234135 & 84.870987118157 & -6.04029475049836 \tabularnewline
55 & 82.4 & 79.8161610911012 & 2.91630688727545 & 82.0675320216234 & -2.58383890889884 \tabularnewline
56 & 76.6 & 72.7311759313462 & -0.297169712664176 & 80.7659937813179 & -3.86882406865375 \tabularnewline
57 & 72.7 & 70.5643724673566 & -4.62882800836901 & 79.4644555410124 & -2.13562753264341 \tabularnewline
58 & 67.5 & 60.9821347254329 & -5.29970813905148 & 79.3175734136186 & -6.51786527456709 \tabularnewline
59 & 77.3 & 81.9726246452453 & -6.54331593147 & 79.1706912862247 & 4.67262464524532 \tabularnewline
60 & 73.7 & 72.1177314515515 & -4.20024380358589 & 79.4825123520344 & -1.58226854844854 \tabularnewline
61 & 73 & 68.4901299528488 & -2.28446337069298 & 79.7943334178442 & -4.5098700471512 \tabularnewline
62 & 78.2 & 75.3922555083137 & 0.854102390382445 & 80.1536421013039 & -2.80774449168634 \tabularnewline
63 & 90.7 & 96.5666816241222 & 4.32036759111424 & 80.5129507847636 & 5.86668162412215 \tabularnewline
64 & 91.5 & 96.0643529819128 & 6.18952008059986 & 80.7461269374874 & 4.56435298191276 \tabularnewline
65 & 86.3 & 86.1165713802156 & 5.50412552957322 & 80.9793030902111 & -0.183428619784351 \tabularnewline
66 & 86.8 & 89.267704544035 & 3.46930763234135 & 80.8629878236236 & 2.46770454403503 \tabularnewline
67 & 86.1 & 88.5370205556884 & 2.91630688727545 & 80.7466725570361 & 2.43702055568841 \tabularnewline
68 & 77.1 & 74.303282750342 & -0.297169712664176 & 80.1938869623222 & -2.79671724965803 \tabularnewline
69 & 75.7 & 76.3877266407608 & -4.62882800836901 & 79.6411013676083 & 0.687726640760758 \tabularnewline
70 & 78.7 & 84.3009984776169 & -5.29970813905148 & 78.3987096614346 & 5.60099847761686 \tabularnewline
71 & 71.5 & 72.386997976209 & -6.54331593147 & 77.156317955261 & 0.886997976209031 \tabularnewline
72 & 69.6 & 67.9145830448514 & -4.20024380358589 & 75.4856607587345 & -1.68541695514858 \tabularnewline
73 & 73.6 & 75.669459808485 & -2.28446337069298 & 73.8150035622079 & 2.06945980848502 \tabularnewline
74 & 78.1 & 83.2941817234428 & 0.854102390382445 & 72.0517158861747 & 5.19418172344281 \tabularnewline
75 & 78.3 & 81.9912041987442 & 4.32036759111424 & 70.2884282101415 & 3.69120419874424 \tabularnewline
76 & 71.5 & 68.2804839868477 & 6.18952008059986 & 68.5299959325524 & -3.2195160131523 \tabularnewline
77 & 68.7 & 65.1243108154634 & 5.50412552957322 & 66.7715636549634 & -3.57568918453657 \tabularnewline
78 & 61.2 & 53.7990399810343 & 3.46930763234135 & 65.1316523866244 & -7.40096001896573 \tabularnewline
79 & 64.7 & 62.9919519944392 & 2.91630688727545 & 63.4917411182854 & -1.70804800556083 \tabularnewline
80 & 64.6 & 67.6453886645676 & -0.297169712664176 & 61.8517810480965 & 3.04538866456762 \tabularnewline
81 & 56.3 & 57.0170070304613 & -4.62882800836901 & 60.2118209779077 & 0.717007030461311 \tabularnewline
82 & 54.5 & 55.8117458385227 & -5.29970813905148 & 58.4879623005287 & 1.31174583852273 \tabularnewline
83 & 49.5 & 48.7792123083202 & -6.54331593147 & 56.7641036231498 & -0.720787691679817 \tabularnewline
84 & 54 & 57.2401124783773 & -4.20024380358589 & 54.9601313252085 & 3.24011247837735 \tabularnewline
85 & 59.2 & 67.5283043434257 & -2.28446337069298 & 53.1561590272673 & 8.32830434342571 \tabularnewline
86 & 52.4 & 52.5699085604796 & 0.854102390382445 & 51.3759890491379 & 0.169908560479612 \tabularnewline
87 & 52.8 & 51.6838133378771 & 4.32036759111424 & 49.5958190710086 & -1.11618666212286 \tabularnewline
88 & 47.8 & 41.3249417598978 & 6.18952008059986 & 48.0855381595024 & -6.47505824010222 \tabularnewline
89 & 45.2 & 38.3206172224307 & 5.50412552957322 & 46.5752572479961 & -6.87938277756931 \tabularnewline
90 & 47.1 & 45.4764659144496 & 3.46930763234135 & 45.2542264532091 & -1.62353408555043 \tabularnewline
91 & 42.6 & 38.3504974543025 & 2.91630688727545 & 43.9331956584221 & -4.24950254569752 \tabularnewline
92 & 42.1 & 41.7491096803803 & -0.297169712664176 & 42.7480600322839 & -0.350890319619737 \tabularnewline
93 & 39.4 & 41.8659036022233 & -4.62882800836901 & 41.5629244061457 & 2.46590360222326 \tabularnewline
94 & 39.6 & 43.9710203309967 & -5.29970813905148 & 40.5286878080548 & 4.37102033099672 \tabularnewline
95 & 37.8 & 42.6488647215062 & -6.54331593147 & 39.4944512099638 & 4.84886472150622 \tabularnewline
96 & 36.8 & 39.3498574075539 & -4.20024380358589 & 38.4503863960319 & 2.54985740755394 \tabularnewline
97 & 36.5 & 37.8781417885929 & -2.28446337069298 & 37.4063215821001 & 1.37814178859286 \tabularnewline
98 & 34 & 30.4632011303772 & 0.854102390382445 & 36.6826964792403 & -3.53679886962279 \tabularnewline
99 & 37.5 & 34.7205610325052 & 4.32036759111424 & 35.9590713763806 & -2.77943896749481 \tabularnewline
100 & 36.1 & 30.2982944409133 & 6.18952008059986 & 35.7121854784869 & -5.80170555908673 \tabularnewline
101 & 35.1 & 29.2305748898336 & 5.50412552957322 & 35.4652995805932 & -5.86942511016638 \tabularnewline
102 & 32.8 & 26.5992446571884 & 3.46930763234135 & 35.5314477104703 & -6.20075534281163 \tabularnewline
103 & 32.2 & 25.8860972723772 & 2.91630688727545 & 35.5975958403474 & -6.31390272762283 \tabularnewline
104 & 38.1 & 40.7618025531393 & -0.297169712664176 & 35.7353671595249 & 2.6618025531393 \tabularnewline
105 & 41.4 & 51.5556895296666 & -4.62882800836901 & 35.8731384787024 & 10.1556895296666 \tabularnewline
106 & 38.5 & 46.5164784605832 & -5.29970813905148 & 35.7832296784682 & 8.01647846058324 \tabularnewline
107 & 34.6 & 40.0499950532359 & -6.54331593147 & 35.6933208782341 & 5.44999505323593 \tabularnewline
108 & 31.2 & 31.3915509744141 & -4.20024380358589 & 35.2086928291718 & 0.191550974414142 \tabularnewline
109 & 34.7 & 36.9603985905836 & -2.28446337069298 & 34.7240647801094 & 2.26039859058355 \tabularnewline
110 & 35.8 & 36.9382788416695 & 0.854102390382445 & 33.807618767948 & 1.13827884166951 \tabularnewline
111 & 33.8 & 30.3884596530991 & 4.32036759111424 & 32.8911727557866 & -3.41154034690089 \tabularnewline
112 & 32.5 & 26.9302372045813 & 6.18952008059986 & 31.8802427148189 & -5.56976279541873 \tabularnewline
113 & 31.2 & 26.0265617965757 & 5.50412552957322 & 30.8693126738511 & -5.17343820342431 \tabularnewline
114 & 32.5 & 31.2879551034222 & 3.46930763234135 & 30.2427372642364 & -1.21204489657779 \tabularnewline
115 & 32.3 & 32.0675312581027 & 2.91630688727545 & 29.6161618546218 & -0.232468741897247 \tabularnewline
116 & 30.1 & 31.0999687034296 & -0.297169712664176 & 29.3972010092346 & 0.999968703429591 \tabularnewline
117 & 25.3 & 26.0505878445216 & -4.62882800836901 & 29.1782401638474 & 0.750587844521625 \tabularnewline
118 & 24.5 & 25.1082088433106 & -5.29970813905148 & 29.1914992957409 & 0.608208843310575 \tabularnewline
119 & 23.7 & 24.7385575038356 & -6.54331593147 & 29.2047584276344 & 1.03855750383557 \tabularnewline
120 & 23.8 & 22.5216207107213 & -4.20024380358589 & 29.2786230928646 & -1.2783792892787 \tabularnewline
121 & 26.9 & 26.7319756125982 & -2.28446337069298 & 29.3524877580948 & -0.168024387401775 \tabularnewline
122 & 32.4 & 34.3156186273732 & 0.854102390382445 & 29.6302789822444 & 1.91561862737317 \tabularnewline
123 & 32.6 & 30.9715622024918 & 4.32036759111424 & 29.908070206394 & -1.62843779750824 \tabularnewline
124 & 31.7 & 26.4277879777711 & 6.18952008059986 & 30.7826919416291 & -5.27221202222893 \tabularnewline
125 & 34.1 & 31.0385607935627 & 5.50412552957322 & 31.6573136768641 & -3.06143920643734 \tabularnewline
126 & 34.9 & 33.4496450998463 & 3.46930763234135 & 32.8810472678123 & -1.45035490015368 \tabularnewline
127 & 33.1 & 29.178912253964 & 2.91630688727545 & 34.1047808587605 & -3.92108774603598 \tabularnewline
128 & 32.3 & 29.5350804970501 & -0.297169712664176 & 35.362089215614 & -2.76491950294987 \tabularnewline
129 & 34.6 & 37.2094304359014 & -4.62882800836901 & 36.6193975724676 & 2.60943043590144 \tabularnewline
130 & 32.7 & 32.7444707043071 & -5.29970813905148 & 37.9552374347444 & 0.0444707043070593 \tabularnewline
131 & 32.6 & 32.4522386344487 & -6.54331593147 & 39.2910772970213 & -0.147761365551261 \tabularnewline
132 & 41 & 45.4885208704516 & -4.20024380358589 & 40.7117229331342 & 4.48852087045164 \tabularnewline
133 & 40 & 40.1520948014457 & -2.28446337069298 & 42.1323685692472 & 0.152094801445749 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148779&T=2

[TABLE]
[ROW][C]Seasonal Decomposition by Loess - Time Series Components[/C][/ROW]
[ROW][C]t[/C][C]Observed[/C][C]Fitted[/C][C]Seasonal[/C][C]Trend[/C][C]Remainder[/C][/ROW]
[ROW][C]1[/C][C]127[/C][C]121.057737122755[/C][C]-2.28446337069298[/C][C]135.226726247938[/C][C]-5.94226287724499[/C][/ROW]
[ROW][C]2[/C][C]128.7[/C][C]122.613382752736[/C][C]0.854102390382445[/C][C]133.932514856882[/C][C]-6.0866172472644[/C][/ROW]
[ROW][C]3[/C][C]127.3[/C][C]117.64132894306[/C][C]4.32036759111424[/C][C]132.638303465826[/C][C]-9.65867105694015[/C][/ROW]
[ROW][C]4[/C][C]136.7[/C][C]136.177522984379[/C][C]6.18952008059986[/C][C]131.032956935021[/C][C]-0.522477015620524[/C][/ROW]
[ROW][C]5[/C][C]133.8[/C][C]132.668264066211[/C][C]5.50412552957322[/C][C]129.427610404215[/C][C]-1.13173593378858[/C][/ROW]
[ROW][C]6[/C][C]137.2[/C][C]143.36130015787[/C][C]3.46930763234135[/C][C]127.569392209788[/C][C]6.16130015787037[/C][/ROW]
[ROW][C]7[/C][C]147.4[/C][C]166.172519097363[/C][C]2.91630688727545[/C][C]125.711174015361[/C][C]18.7725190973634[/C][/ROW]
[ROW][C]8[/C][C]137.6[/C][C]151.7100849691[/C][C]-0.297169712664176[/C][C]123.787084743564[/C][C]14.1100849691001[/C][/ROW]
[ROW][C]9[/C][C]123.6[/C][C]129.965832536602[/C][C]-4.62882800836901[/C][C]121.862995471767[/C][C]6.36583253660196[/C][/ROW]
[ROW][C]10[/C][C]117.4[/C][C]121.165891109338[/C][C]-5.29970813905148[/C][C]118.933817029713[/C][C]3.76589110933811[/C][/ROW]
[ROW][C]11[/C][C]113.7[/C][C]117.93867734381[/C][C]-6.54331593147[/C][C]116.00463858766[/C][C]4.23867734381029[/C][/ROW]
[ROW][C]12[/C][C]106.8[/C][C]105.638222303596[/C][C]-4.20024380358589[/C][C]112.16202149999[/C][C]-1.1617776964038[/C][/ROW]
[ROW][C]13[/C][C]103.3[/C][C]100.565058958373[/C][C]-2.28446337069298[/C][C]108.31940441232[/C][C]-2.7349410416267[/C][/ROW]
[ROW][C]14[/C][C]96.3[/C][C]86.5418721433028[/C][C]0.854102390382445[/C][C]105.204025466315[/C][C]-9.75812785669724[/C][/ROW]
[ROW][C]15[/C][C]96.2[/C][C]85.9909858885759[/C][C]4.32036759111424[/C][C]102.08864652031[/C][C]-10.2090141114241[/C][/ROW]
[ROW][C]16[/C][C]94.7[/C][C]82.8846372087884[/C][C]6.18952008059986[/C][C]100.325842710612[/C][C]-11.8153627912116[/C][/ROW]
[ROW][C]17[/C][C]94.6[/C][C]85.1328355695131[/C][C]5.50412552957322[/C][C]98.5630389009136[/C][C]-9.46716443048685[/C][/ROW]
[ROW][C]18[/C][C]95.7[/C][C]90.0661225337541[/C][C]3.46930763234135[/C][C]97.8645698339046[/C][C]-5.63387746624591[/C][/ROW]
[ROW][C]19[/C][C]106.7[/C][C]113.317592345829[/C][C]2.91630688727545[/C][C]97.1661007668955[/C][C]6.61759234582902[/C][/ROW]
[ROW][C]20[/C][C]100.2[/C][C]103.875840968024[/C][C]-0.297169712664176[/C][C]96.8213287446404[/C][C]3.67584096802381[/C][/ROW]
[ROW][C]21[/C][C]94.2[/C][C]96.5522712859838[/C][C]-4.62882800836901[/C][C]96.4765567223852[/C][C]2.3522712859838[/C][/ROW]
[ROW][C]22[/C][C]97.6[/C][C]104.897566418564[/C][C]-5.29970813905148[/C][C]95.6021417204876[/C][C]7.29756641856392[/C][/ROW]
[ROW][C]23[/C][C]94.3[/C][C]100.41558921288[/C][C]-6.54331593147[/C][C]94.7277267185899[/C][C]6.11558921288011[/C][/ROW]
[ROW][C]24[/C][C]98[/C][C]107.64278944262[/C][C]-4.20024380358589[/C][C]92.5574543609663[/C][C]9.64278944261957[/C][/ROW]
[ROW][C]25[/C][C]93.6[/C][C]99.0972813673502[/C][C]-2.28446337069298[/C][C]90.3871820033427[/C][C]5.49728136735024[/C][/ROW]
[ROW][C]26[/C][C]86.3[/C][C]84.7704507522267[/C][C]0.854102390382445[/C][C]86.9754468573909[/C][C]-1.52954924777332[/C][/ROW]
[ROW][C]27[/C][C]90.7[/C][C]93.5159206974468[/C][C]4.32036759111424[/C][C]83.563711711439[/C][C]2.81592069744678[/C][/ROW]
[ROW][C]28[/C][C]81.8[/C][C]77.507029690087[/C][C]6.18952008059986[/C][C]79.9034502293131[/C][C]-4.292970309913[/C][/ROW]
[ROW][C]29[/C][C]87.6[/C][C]93.4526857232395[/C][C]5.50412552957322[/C][C]76.2431887471873[/C][C]5.8526857232395[/C][/ROW]
[ROW][C]30[/C][C]73.8[/C][C]69.9469228209871[/C][C]3.46930763234135[/C][C]74.1837695466716[/C][C]-3.8530771790129[/C][/ROW]
[ROW][C]31[/C][C]63.3[/C][C]51.5593427665687[/C][C]2.91630688727545[/C][C]72.1243503461559[/C][C]-11.7406572334313[/C][/ROW]
[ROW][C]32[/C][C]59.1[/C][C]44.6148702322628[/C][C]-0.297169712664176[/C][C]73.8822994804014[/C][C]-14.4851297677372[/C][/ROW]
[ROW][C]33[/C][C]52.9[/C][C]34.7885793937221[/C][C]-4.62882800836901[/C][C]75.6402486146469[/C][C]-18.1114206062779[/C][/ROW]
[ROW][C]34[/C][C]54.6[/C][C]33.0681647611691[/C][C]-5.29970813905148[/C][C]81.4315433778824[/C][C]-21.5318352388309[/C][/ROW]
[ROW][C]35[/C][C]52.4[/C][C]24.1204777903521[/C][C]-6.54331593147[/C][C]87.2228381411179[/C][C]-28.2795222096479[/C][/ROW]
[ROW][C]36[/C][C]67.5[/C][C]44.3159730784627[/C][C]-4.20024380358589[/C][C]94.8842707251232[/C][C]-23.1840269215373[/C][/ROW]
[ROW][C]37[/C][C]90.4[/C][C]80.5387600615644[/C][C]-2.28446337069298[/C][C]102.545703309129[/C][C]-9.86123993843557[/C][/ROW]
[ROW][C]38[/C][C]126[/C][C]141.333087908775[/C][C]0.854102390382445[/C][C]109.812809700843[/C][C]15.3330879087747[/C][/ROW]
[ROW][C]39[/C][C]144.3[/C][C]167.199716316329[/C][C]4.32036759111424[/C][C]117.079916092557[/C][C]22.8997163163286[/C][/ROW]
[ROW][C]40[/C][C]167.8[/C][C]206.934442313705[/C][C]6.18952008059986[/C][C]122.476037605695[/C][C]39.1344423137054[/C][/ROW]
[ROW][C]41[/C][C]166.2[/C][C]199.023715351594[/C][C]5.50412552957322[/C][C]127.872159118832[/C][C]32.8237153515945[/C][/ROW]
[ROW][C]42[/C][C]156[/C][C]178.591653179877[/C][C]3.46930763234135[/C][C]129.939039187782[/C][C]22.5916531798766[/C][/ROW]
[ROW][C]43[/C][C]137[/C][C]139.077773855993[/C][C]2.91630688727545[/C][C]132.005919256732[/C][C]2.07777385599272[/C][/ROW]
[ROW][C]44[/C][C]129.3[/C][C]129.377653281886[/C][C]-0.297169712664176[/C][C]129.519516430778[/C][C]0.077653281886171[/C][/ROW]
[ROW][C]45[/C][C]118[/C][C]113.595714403545[/C][C]-4.62882800836901[/C][C]127.033113604824[/C][C]-4.40428559645522[/C][/ROW]
[ROW][C]46[/C][C]114.7[/C][C]113.151588706796[/C][C]-5.29970813905148[/C][C]121.548119432255[/C][C]-1.5484112932037[/C][/ROW]
[ROW][C]47[/C][C]112.8[/C][C]116.080190671784[/C][C]-6.54331593147[/C][C]116.063125259686[/C][C]3.28019067178388[/C][/ROW]
[ROW][C]48[/C][C]115.7[/C][C]125.200081562583[/C][C]-4.20024380358589[/C][C]110.400162241003[/C][C]9.50008156258319[/C][/ROW]
[ROW][C]49[/C][C]103.9[/C][C]105.347264148374[/C][C]-2.28446337069298[/C][C]104.737199222319[/C][C]1.44726414837368[/C][/ROW]
[ROW][C]50[/C][C]96.9[/C][C]92.8895746046915[/C][C]0.854102390382445[/C][C]100.056323004926[/C][C]-4.01042539530854[/C][/ROW]
[ROW][C]51[/C][C]88.8[/C][C]77.9041856213529[/C][C]4.32036759111424[/C][C]95.3754467875329[/C][C]-10.8958143786471[/C][/ROW]
[ROW][C]52[/C][C]93[/C][C]88.2855354182884[/C][C]6.18952008059986[/C][C]91.5249445011118[/C][C]-4.71446458171162[/C][/ROW]
[ROW][C]53[/C][C]86.3[/C][C]79.4214322557361[/C][C]5.50412552957322[/C][C]87.6744422146906[/C][C]-6.87856774426386[/C][/ROW]
[ROW][C]54[/C][C]82.3[/C][C]76.2597052495016[/C][C]3.46930763234135[/C][C]84.870987118157[/C][C]-6.04029475049836[/C][/ROW]
[ROW][C]55[/C][C]82.4[/C][C]79.8161610911012[/C][C]2.91630688727545[/C][C]82.0675320216234[/C][C]-2.58383890889884[/C][/ROW]
[ROW][C]56[/C][C]76.6[/C][C]72.7311759313462[/C][C]-0.297169712664176[/C][C]80.7659937813179[/C][C]-3.86882406865375[/C][/ROW]
[ROW][C]57[/C][C]72.7[/C][C]70.5643724673566[/C][C]-4.62882800836901[/C][C]79.4644555410124[/C][C]-2.13562753264341[/C][/ROW]
[ROW][C]58[/C][C]67.5[/C][C]60.9821347254329[/C][C]-5.29970813905148[/C][C]79.3175734136186[/C][C]-6.51786527456709[/C][/ROW]
[ROW][C]59[/C][C]77.3[/C][C]81.9726246452453[/C][C]-6.54331593147[/C][C]79.1706912862247[/C][C]4.67262464524532[/C][/ROW]
[ROW][C]60[/C][C]73.7[/C][C]72.1177314515515[/C][C]-4.20024380358589[/C][C]79.4825123520344[/C][C]-1.58226854844854[/C][/ROW]
[ROW][C]61[/C][C]73[/C][C]68.4901299528488[/C][C]-2.28446337069298[/C][C]79.7943334178442[/C][C]-4.5098700471512[/C][/ROW]
[ROW][C]62[/C][C]78.2[/C][C]75.3922555083137[/C][C]0.854102390382445[/C][C]80.1536421013039[/C][C]-2.80774449168634[/C][/ROW]
[ROW][C]63[/C][C]90.7[/C][C]96.5666816241222[/C][C]4.32036759111424[/C][C]80.5129507847636[/C][C]5.86668162412215[/C][/ROW]
[ROW][C]64[/C][C]91.5[/C][C]96.0643529819128[/C][C]6.18952008059986[/C][C]80.7461269374874[/C][C]4.56435298191276[/C][/ROW]
[ROW][C]65[/C][C]86.3[/C][C]86.1165713802156[/C][C]5.50412552957322[/C][C]80.9793030902111[/C][C]-0.183428619784351[/C][/ROW]
[ROW][C]66[/C][C]86.8[/C][C]89.267704544035[/C][C]3.46930763234135[/C][C]80.8629878236236[/C][C]2.46770454403503[/C][/ROW]
[ROW][C]67[/C][C]86.1[/C][C]88.5370205556884[/C][C]2.91630688727545[/C][C]80.7466725570361[/C][C]2.43702055568841[/C][/ROW]
[ROW][C]68[/C][C]77.1[/C][C]74.303282750342[/C][C]-0.297169712664176[/C][C]80.1938869623222[/C][C]-2.79671724965803[/C][/ROW]
[ROW][C]69[/C][C]75.7[/C][C]76.3877266407608[/C][C]-4.62882800836901[/C][C]79.6411013676083[/C][C]0.687726640760758[/C][/ROW]
[ROW][C]70[/C][C]78.7[/C][C]84.3009984776169[/C][C]-5.29970813905148[/C][C]78.3987096614346[/C][C]5.60099847761686[/C][/ROW]
[ROW][C]71[/C][C]71.5[/C][C]72.386997976209[/C][C]-6.54331593147[/C][C]77.156317955261[/C][C]0.886997976209031[/C][/ROW]
[ROW][C]72[/C][C]69.6[/C][C]67.9145830448514[/C][C]-4.20024380358589[/C][C]75.4856607587345[/C][C]-1.68541695514858[/C][/ROW]
[ROW][C]73[/C][C]73.6[/C][C]75.669459808485[/C][C]-2.28446337069298[/C][C]73.8150035622079[/C][C]2.06945980848502[/C][/ROW]
[ROW][C]74[/C][C]78.1[/C][C]83.2941817234428[/C][C]0.854102390382445[/C][C]72.0517158861747[/C][C]5.19418172344281[/C][/ROW]
[ROW][C]75[/C][C]78.3[/C][C]81.9912041987442[/C][C]4.32036759111424[/C][C]70.2884282101415[/C][C]3.69120419874424[/C][/ROW]
[ROW][C]76[/C][C]71.5[/C][C]68.2804839868477[/C][C]6.18952008059986[/C][C]68.5299959325524[/C][C]-3.2195160131523[/C][/ROW]
[ROW][C]77[/C][C]68.7[/C][C]65.1243108154634[/C][C]5.50412552957322[/C][C]66.7715636549634[/C][C]-3.57568918453657[/C][/ROW]
[ROW][C]78[/C][C]61.2[/C][C]53.7990399810343[/C][C]3.46930763234135[/C][C]65.1316523866244[/C][C]-7.40096001896573[/C][/ROW]
[ROW][C]79[/C][C]64.7[/C][C]62.9919519944392[/C][C]2.91630688727545[/C][C]63.4917411182854[/C][C]-1.70804800556083[/C][/ROW]
[ROW][C]80[/C][C]64.6[/C][C]67.6453886645676[/C][C]-0.297169712664176[/C][C]61.8517810480965[/C][C]3.04538866456762[/C][/ROW]
[ROW][C]81[/C][C]56.3[/C][C]57.0170070304613[/C][C]-4.62882800836901[/C][C]60.2118209779077[/C][C]0.717007030461311[/C][/ROW]
[ROW][C]82[/C][C]54.5[/C][C]55.8117458385227[/C][C]-5.29970813905148[/C][C]58.4879623005287[/C][C]1.31174583852273[/C][/ROW]
[ROW][C]83[/C][C]49.5[/C][C]48.7792123083202[/C][C]-6.54331593147[/C][C]56.7641036231498[/C][C]-0.720787691679817[/C][/ROW]
[ROW][C]84[/C][C]54[/C][C]57.2401124783773[/C][C]-4.20024380358589[/C][C]54.9601313252085[/C][C]3.24011247837735[/C][/ROW]
[ROW][C]85[/C][C]59.2[/C][C]67.5283043434257[/C][C]-2.28446337069298[/C][C]53.1561590272673[/C][C]8.32830434342571[/C][/ROW]
[ROW][C]86[/C][C]52.4[/C][C]52.5699085604796[/C][C]0.854102390382445[/C][C]51.3759890491379[/C][C]0.169908560479612[/C][/ROW]
[ROW][C]87[/C][C]52.8[/C][C]51.6838133378771[/C][C]4.32036759111424[/C][C]49.5958190710086[/C][C]-1.11618666212286[/C][/ROW]
[ROW][C]88[/C][C]47.8[/C][C]41.3249417598978[/C][C]6.18952008059986[/C][C]48.0855381595024[/C][C]-6.47505824010222[/C][/ROW]
[ROW][C]89[/C][C]45.2[/C][C]38.3206172224307[/C][C]5.50412552957322[/C][C]46.5752572479961[/C][C]-6.87938277756931[/C][/ROW]
[ROW][C]90[/C][C]47.1[/C][C]45.4764659144496[/C][C]3.46930763234135[/C][C]45.2542264532091[/C][C]-1.62353408555043[/C][/ROW]
[ROW][C]91[/C][C]42.6[/C][C]38.3504974543025[/C][C]2.91630688727545[/C][C]43.9331956584221[/C][C]-4.24950254569752[/C][/ROW]
[ROW][C]92[/C][C]42.1[/C][C]41.7491096803803[/C][C]-0.297169712664176[/C][C]42.7480600322839[/C][C]-0.350890319619737[/C][/ROW]
[ROW][C]93[/C][C]39.4[/C][C]41.8659036022233[/C][C]-4.62882800836901[/C][C]41.5629244061457[/C][C]2.46590360222326[/C][/ROW]
[ROW][C]94[/C][C]39.6[/C][C]43.9710203309967[/C][C]-5.29970813905148[/C][C]40.5286878080548[/C][C]4.37102033099672[/C][/ROW]
[ROW][C]95[/C][C]37.8[/C][C]42.6488647215062[/C][C]-6.54331593147[/C][C]39.4944512099638[/C][C]4.84886472150622[/C][/ROW]
[ROW][C]96[/C][C]36.8[/C][C]39.3498574075539[/C][C]-4.20024380358589[/C][C]38.4503863960319[/C][C]2.54985740755394[/C][/ROW]
[ROW][C]97[/C][C]36.5[/C][C]37.8781417885929[/C][C]-2.28446337069298[/C][C]37.4063215821001[/C][C]1.37814178859286[/C][/ROW]
[ROW][C]98[/C][C]34[/C][C]30.4632011303772[/C][C]0.854102390382445[/C][C]36.6826964792403[/C][C]-3.53679886962279[/C][/ROW]
[ROW][C]99[/C][C]37.5[/C][C]34.7205610325052[/C][C]4.32036759111424[/C][C]35.9590713763806[/C][C]-2.77943896749481[/C][/ROW]
[ROW][C]100[/C][C]36.1[/C][C]30.2982944409133[/C][C]6.18952008059986[/C][C]35.7121854784869[/C][C]-5.80170555908673[/C][/ROW]
[ROW][C]101[/C][C]35.1[/C][C]29.2305748898336[/C][C]5.50412552957322[/C][C]35.4652995805932[/C][C]-5.86942511016638[/C][/ROW]
[ROW][C]102[/C][C]32.8[/C][C]26.5992446571884[/C][C]3.46930763234135[/C][C]35.5314477104703[/C][C]-6.20075534281163[/C][/ROW]
[ROW][C]103[/C][C]32.2[/C][C]25.8860972723772[/C][C]2.91630688727545[/C][C]35.5975958403474[/C][C]-6.31390272762283[/C][/ROW]
[ROW][C]104[/C][C]38.1[/C][C]40.7618025531393[/C][C]-0.297169712664176[/C][C]35.7353671595249[/C][C]2.6618025531393[/C][/ROW]
[ROW][C]105[/C][C]41.4[/C][C]51.5556895296666[/C][C]-4.62882800836901[/C][C]35.8731384787024[/C][C]10.1556895296666[/C][/ROW]
[ROW][C]106[/C][C]38.5[/C][C]46.5164784605832[/C][C]-5.29970813905148[/C][C]35.7832296784682[/C][C]8.01647846058324[/C][/ROW]
[ROW][C]107[/C][C]34.6[/C][C]40.0499950532359[/C][C]-6.54331593147[/C][C]35.6933208782341[/C][C]5.44999505323593[/C][/ROW]
[ROW][C]108[/C][C]31.2[/C][C]31.3915509744141[/C][C]-4.20024380358589[/C][C]35.2086928291718[/C][C]0.191550974414142[/C][/ROW]
[ROW][C]109[/C][C]34.7[/C][C]36.9603985905836[/C][C]-2.28446337069298[/C][C]34.7240647801094[/C][C]2.26039859058355[/C][/ROW]
[ROW][C]110[/C][C]35.8[/C][C]36.9382788416695[/C][C]0.854102390382445[/C][C]33.807618767948[/C][C]1.13827884166951[/C][/ROW]
[ROW][C]111[/C][C]33.8[/C][C]30.3884596530991[/C][C]4.32036759111424[/C][C]32.8911727557866[/C][C]-3.41154034690089[/C][/ROW]
[ROW][C]112[/C][C]32.5[/C][C]26.9302372045813[/C][C]6.18952008059986[/C][C]31.8802427148189[/C][C]-5.56976279541873[/C][/ROW]
[ROW][C]113[/C][C]31.2[/C][C]26.0265617965757[/C][C]5.50412552957322[/C][C]30.8693126738511[/C][C]-5.17343820342431[/C][/ROW]
[ROW][C]114[/C][C]32.5[/C][C]31.2879551034222[/C][C]3.46930763234135[/C][C]30.2427372642364[/C][C]-1.21204489657779[/C][/ROW]
[ROW][C]115[/C][C]32.3[/C][C]32.0675312581027[/C][C]2.91630688727545[/C][C]29.6161618546218[/C][C]-0.232468741897247[/C][/ROW]
[ROW][C]116[/C][C]30.1[/C][C]31.0999687034296[/C][C]-0.297169712664176[/C][C]29.3972010092346[/C][C]0.999968703429591[/C][/ROW]
[ROW][C]117[/C][C]25.3[/C][C]26.0505878445216[/C][C]-4.62882800836901[/C][C]29.1782401638474[/C][C]0.750587844521625[/C][/ROW]
[ROW][C]118[/C][C]24.5[/C][C]25.1082088433106[/C][C]-5.29970813905148[/C][C]29.1914992957409[/C][C]0.608208843310575[/C][/ROW]
[ROW][C]119[/C][C]23.7[/C][C]24.7385575038356[/C][C]-6.54331593147[/C][C]29.2047584276344[/C][C]1.03855750383557[/C][/ROW]
[ROW][C]120[/C][C]23.8[/C][C]22.5216207107213[/C][C]-4.20024380358589[/C][C]29.2786230928646[/C][C]-1.2783792892787[/C][/ROW]
[ROW][C]121[/C][C]26.9[/C][C]26.7319756125982[/C][C]-2.28446337069298[/C][C]29.3524877580948[/C][C]-0.168024387401775[/C][/ROW]
[ROW][C]122[/C][C]32.4[/C][C]34.3156186273732[/C][C]0.854102390382445[/C][C]29.6302789822444[/C][C]1.91561862737317[/C][/ROW]
[ROW][C]123[/C][C]32.6[/C][C]30.9715622024918[/C][C]4.32036759111424[/C][C]29.908070206394[/C][C]-1.62843779750824[/C][/ROW]
[ROW][C]124[/C][C]31.7[/C][C]26.4277879777711[/C][C]6.18952008059986[/C][C]30.7826919416291[/C][C]-5.27221202222893[/C][/ROW]
[ROW][C]125[/C][C]34.1[/C][C]31.0385607935627[/C][C]5.50412552957322[/C][C]31.6573136768641[/C][C]-3.06143920643734[/C][/ROW]
[ROW][C]126[/C][C]34.9[/C][C]33.4496450998463[/C][C]3.46930763234135[/C][C]32.8810472678123[/C][C]-1.45035490015368[/C][/ROW]
[ROW][C]127[/C][C]33.1[/C][C]29.178912253964[/C][C]2.91630688727545[/C][C]34.1047808587605[/C][C]-3.92108774603598[/C][/ROW]
[ROW][C]128[/C][C]32.3[/C][C]29.5350804970501[/C][C]-0.297169712664176[/C][C]35.362089215614[/C][C]-2.76491950294987[/C][/ROW]
[ROW][C]129[/C][C]34.6[/C][C]37.2094304359014[/C][C]-4.62882800836901[/C][C]36.6193975724676[/C][C]2.60943043590144[/C][/ROW]
[ROW][C]130[/C][C]32.7[/C][C]32.7444707043071[/C][C]-5.29970813905148[/C][C]37.9552374347444[/C][C]0.0444707043070593[/C][/ROW]
[ROW][C]131[/C][C]32.6[/C][C]32.4522386344487[/C][C]-6.54331593147[/C][C]39.2910772970213[/C][C]-0.147761365551261[/C][/ROW]
[ROW][C]132[/C][C]41[/C][C]45.4885208704516[/C][C]-4.20024380358589[/C][C]40.7117229331342[/C][C]4.48852087045164[/C][/ROW]
[ROW][C]133[/C][C]40[/C][C]40.1520948014457[/C][C]-2.28446337069298[/C][C]42.1323685692472[/C][C]0.152094801445749[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148779&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148779&T=2

As an alternative you can also use a QR Code:

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

Seasonal Decomposition by Loess - Time Series Components
t	Observed	Fitted	Seasonal	Trend	Remainder
1	127	121.057737122755	-2.28446337069298	135.226726247938	-5.94226287724499
2	128.7	122.613382752736	0.854102390382445	133.932514856882	-6.0866172472644
3	127.3	117.64132894306	4.32036759111424	132.638303465826	-9.65867105694015
4	136.7	136.177522984379	6.18952008059986	131.032956935021	-0.522477015620524
5	133.8	132.668264066211	5.50412552957322	129.427610404215	-1.13173593378858
6	137.2	143.36130015787	3.46930763234135	127.569392209788	6.16130015787037
7	147.4	166.172519097363	2.91630688727545	125.711174015361	18.7725190973634
8	137.6	151.7100849691	-0.297169712664176	123.787084743564	14.1100849691001
9	123.6	129.965832536602	-4.62882800836901	121.862995471767	6.36583253660196
10	117.4	121.165891109338	-5.29970813905148	118.933817029713	3.76589110933811
11	113.7	117.93867734381	-6.54331593147	116.00463858766	4.23867734381029
12	106.8	105.638222303596	-4.20024380358589	112.16202149999	-1.1617776964038
13	103.3	100.565058958373	-2.28446337069298	108.31940441232	-2.7349410416267
14	96.3	86.5418721433028	0.854102390382445	105.204025466315	-9.75812785669724
15	96.2	85.9909858885759	4.32036759111424	102.08864652031	-10.2090141114241
16	94.7	82.8846372087884	6.18952008059986	100.325842710612	-11.8153627912116
17	94.6	85.1328355695131	5.50412552957322	98.5630389009136	-9.46716443048685
18	95.7	90.0661225337541	3.46930763234135	97.8645698339046	-5.63387746624591
19	106.7	113.317592345829	2.91630688727545	97.1661007668955	6.61759234582902
20	100.2	103.875840968024	-0.297169712664176	96.8213287446404	3.67584096802381
21	94.2	96.5522712859838	-4.62882800836901	96.4765567223852	2.3522712859838
22	97.6	104.897566418564	-5.29970813905148	95.6021417204876	7.29756641856392
23	94.3	100.41558921288	-6.54331593147	94.7277267185899	6.11558921288011
24	98	107.64278944262	-4.20024380358589	92.5574543609663	9.64278944261957
25	93.6	99.0972813673502	-2.28446337069298	90.3871820033427	5.49728136735024
26	86.3	84.7704507522267	0.854102390382445	86.9754468573909	-1.52954924777332
27	90.7	93.5159206974468	4.32036759111424	83.563711711439	2.81592069744678
28	81.8	77.507029690087	6.18952008059986	79.9034502293131	-4.292970309913
29	87.6	93.4526857232395	5.50412552957322	76.2431887471873	5.8526857232395
30	73.8	69.9469228209871	3.46930763234135	74.1837695466716	-3.8530771790129
31	63.3	51.5593427665687	2.91630688727545	72.1243503461559	-11.7406572334313
32	59.1	44.6148702322628	-0.297169712664176	73.8822994804014	-14.4851297677372
33	52.9	34.7885793937221	-4.62882800836901	75.6402486146469	-18.1114206062779
34	54.6	33.0681647611691	-5.29970813905148	81.4315433778824	-21.5318352388309
35	52.4	24.1204777903521	-6.54331593147	87.2228381411179	-28.2795222096479
36	67.5	44.3159730784627	-4.20024380358589	94.8842707251232	-23.1840269215373
37	90.4	80.5387600615644	-2.28446337069298	102.545703309129	-9.86123993843557
38	126	141.333087908775	0.854102390382445	109.812809700843	15.3330879087747
39	144.3	167.199716316329	4.32036759111424	117.079916092557	22.8997163163286
40	167.8	206.934442313705	6.18952008059986	122.476037605695	39.1344423137054
41	166.2	199.023715351594	5.50412552957322	127.872159118832	32.8237153515945
42	156	178.591653179877	3.46930763234135	129.939039187782	22.5916531798766
43	137	139.077773855993	2.91630688727545	132.005919256732	2.07777385599272
44	129.3	129.377653281886	-0.297169712664176	129.519516430778	0.077653281886171
45	118	113.595714403545	-4.62882800836901	127.033113604824	-4.40428559645522
46	114.7	113.151588706796	-5.29970813905148	121.548119432255	-1.5484112932037
47	112.8	116.080190671784	-6.54331593147	116.063125259686	3.28019067178388
48	115.7	125.200081562583	-4.20024380358589	110.400162241003	9.50008156258319
49	103.9	105.347264148374	-2.28446337069298	104.737199222319	1.44726414837368
50	96.9	92.8895746046915	0.854102390382445	100.056323004926	-4.01042539530854
51	88.8	77.9041856213529	4.32036759111424	95.3754467875329	-10.8958143786471
52	93	88.2855354182884	6.18952008059986	91.5249445011118	-4.71446458171162
53	86.3	79.4214322557361	5.50412552957322	87.6744422146906	-6.87856774426386
54	82.3	76.2597052495016	3.46930763234135	84.870987118157	-6.04029475049836
55	82.4	79.8161610911012	2.91630688727545	82.0675320216234	-2.58383890889884
56	76.6	72.7311759313462	-0.297169712664176	80.7659937813179	-3.86882406865375
57	72.7	70.5643724673566	-4.62882800836901	79.4644555410124	-2.13562753264341
58	67.5	60.9821347254329	-5.29970813905148	79.3175734136186	-6.51786527456709
59	77.3	81.9726246452453	-6.54331593147	79.1706912862247	4.67262464524532
60	73.7	72.1177314515515	-4.20024380358589	79.4825123520344	-1.58226854844854
61	73	68.4901299528488	-2.28446337069298	79.7943334178442	-4.5098700471512
62	78.2	75.3922555083137	0.854102390382445	80.1536421013039	-2.80774449168634
63	90.7	96.5666816241222	4.32036759111424	80.5129507847636	5.86668162412215
64	91.5	96.0643529819128	6.18952008059986	80.7461269374874	4.56435298191276
65	86.3	86.1165713802156	5.50412552957322	80.9793030902111	-0.183428619784351
66	86.8	89.267704544035	3.46930763234135	80.8629878236236	2.46770454403503
67	86.1	88.5370205556884	2.91630688727545	80.7466725570361	2.43702055568841
68	77.1	74.303282750342	-0.297169712664176	80.1938869623222	-2.79671724965803
69	75.7	76.3877266407608	-4.62882800836901	79.6411013676083	0.687726640760758
70	78.7	84.3009984776169	-5.29970813905148	78.3987096614346	5.60099847761686
71	71.5	72.386997976209	-6.54331593147	77.156317955261	0.886997976209031
72	69.6	67.9145830448514	-4.20024380358589	75.4856607587345	-1.68541695514858
73	73.6	75.669459808485	-2.28446337069298	73.8150035622079	2.06945980848502
74	78.1	83.2941817234428	0.854102390382445	72.0517158861747	5.19418172344281
75	78.3	81.9912041987442	4.32036759111424	70.2884282101415	3.69120419874424
76	71.5	68.2804839868477	6.18952008059986	68.5299959325524	-3.2195160131523
77	68.7	65.1243108154634	5.50412552957322	66.7715636549634	-3.57568918453657
78	61.2	53.7990399810343	3.46930763234135	65.1316523866244	-7.40096001896573
79	64.7	62.9919519944392	2.91630688727545	63.4917411182854	-1.70804800556083
80	64.6	67.6453886645676	-0.297169712664176	61.8517810480965	3.04538866456762
81	56.3	57.0170070304613	-4.62882800836901	60.2118209779077	0.717007030461311
82	54.5	55.8117458385227	-5.29970813905148	58.4879623005287	1.31174583852273
83	49.5	48.7792123083202	-6.54331593147	56.7641036231498	-0.720787691679817
84	54	57.2401124783773	-4.20024380358589	54.9601313252085	3.24011247837735
85	59.2	67.5283043434257	-2.28446337069298	53.1561590272673	8.32830434342571
86	52.4	52.5699085604796	0.854102390382445	51.3759890491379	0.169908560479612
87	52.8	51.6838133378771	4.32036759111424	49.5958190710086	-1.11618666212286
88	47.8	41.3249417598978	6.18952008059986	48.0855381595024	-6.47505824010222
89	45.2	38.3206172224307	5.50412552957322	46.5752572479961	-6.87938277756931
90	47.1	45.4764659144496	3.46930763234135	45.2542264532091	-1.62353408555043
91	42.6	38.3504974543025	2.91630688727545	43.9331956584221	-4.24950254569752
92	42.1	41.7491096803803	-0.297169712664176	42.7480600322839	-0.350890319619737
93	39.4	41.8659036022233	-4.62882800836901	41.5629244061457	2.46590360222326
94	39.6	43.9710203309967	-5.29970813905148	40.5286878080548	4.37102033099672
95	37.8	42.6488647215062	-6.54331593147	39.4944512099638	4.84886472150622
96	36.8	39.3498574075539	-4.20024380358589	38.4503863960319	2.54985740755394
97	36.5	37.8781417885929	-2.28446337069298	37.4063215821001	1.37814178859286
98	34	30.4632011303772	0.854102390382445	36.6826964792403	-3.53679886962279
99	37.5	34.7205610325052	4.32036759111424	35.9590713763806	-2.77943896749481
100	36.1	30.2982944409133	6.18952008059986	35.7121854784869	-5.80170555908673
101	35.1	29.2305748898336	5.50412552957322	35.4652995805932	-5.86942511016638
102	32.8	26.5992446571884	3.46930763234135	35.5314477104703	-6.20075534281163
103	32.2	25.8860972723772	2.91630688727545	35.5975958403474	-6.31390272762283
104	38.1	40.7618025531393	-0.297169712664176	35.7353671595249	2.6618025531393
105	41.4	51.5556895296666	-4.62882800836901	35.8731384787024	10.1556895296666
106	38.5	46.5164784605832	-5.29970813905148	35.7832296784682	8.01647846058324
107	34.6	40.0499950532359	-6.54331593147	35.6933208782341	5.44999505323593
108	31.2	31.3915509744141	-4.20024380358589	35.2086928291718	0.191550974414142
109	34.7	36.9603985905836	-2.28446337069298	34.7240647801094	2.26039859058355
110	35.8	36.9382788416695	0.854102390382445	33.807618767948	1.13827884166951
111	33.8	30.3884596530991	4.32036759111424	32.8911727557866	-3.41154034690089
112	32.5	26.9302372045813	6.18952008059986	31.8802427148189	-5.56976279541873
113	31.2	26.0265617965757	5.50412552957322	30.8693126738511	-5.17343820342431
114	32.5	31.2879551034222	3.46930763234135	30.2427372642364	-1.21204489657779
115	32.3	32.0675312581027	2.91630688727545	29.6161618546218	-0.232468741897247
116	30.1	31.0999687034296	-0.297169712664176	29.3972010092346	0.999968703429591
117	25.3	26.0505878445216	-4.62882800836901	29.1782401638474	0.750587844521625
118	24.5	25.1082088433106	-5.29970813905148	29.1914992957409	0.608208843310575
119	23.7	24.7385575038356	-6.54331593147	29.2047584276344	1.03855750383557
120	23.8	22.5216207107213	-4.20024380358589	29.2786230928646	-1.2783792892787
121	26.9	26.7319756125982	-2.28446337069298	29.3524877580948	-0.168024387401775
122	32.4	34.3156186273732	0.854102390382445	29.6302789822444	1.91561862737317
123	32.6	30.9715622024918	4.32036759111424	29.908070206394	-1.62843779750824
124	31.7	26.4277879777711	6.18952008059986	30.7826919416291	-5.27221202222893
125	34.1	31.0385607935627	5.50412552957322	31.6573136768641	-3.06143920643734
126	34.9	33.4496450998463	3.46930763234135	32.8810472678123	-1.45035490015368
127	33.1	29.178912253964	2.91630688727545	34.1047808587605	-3.92108774603598
128	32.3	29.5350804970501	-0.297169712664176	35.362089215614	-2.76491950294987
129	34.6	37.2094304359014	-4.62882800836901	36.6193975724676	2.60943043590144
130	32.7	32.7444707043071	-5.29970813905148	37.9552374347444	0.0444707043070593
131	32.6	32.4522386344487	-6.54331593147	39.2910772970213	-0.147761365551261
132	41	45.4885208704516	-4.20024380358589	40.7117229331342	4.48852087045164
133	40	40.1520948014457	-2.28446337069298	42.1323685692472	0.152094801445749

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 = 12 ; par2 = periodic ; par3 = 0 ; par4 = ; par5 = 1 ; par6 = ; par7 = 1 ; par8 = FALSE ;

R code (references can be found in the software module):

par1 <- as.numeric(par1) #seasonal period
if (par2 != 'periodic') par2 <- as.numeric(par2) #s.window
par3 <- as.numeric(par3) #s.degree
if (par4 == '') par4 <- NULL else par4 <- as.numeric(par4)#t.window
par5 <- as.numeric(par5)#t.degree
if (par6 != '') par6 <- as.numeric(par6)#l.window
par7 <- as.numeric(par7)#l.degree
if (par8 == 'FALSE') par8 <- FALSE else par9 <- TRUE #robust
nx <- length(x)
x <- ts(x,frequency=par1)
if (par6 != '') {
m <- stl(x,s.window=par2, s.degree=par3, t.window=par4, t.degre=par5, l.window=par6, l.degree=par7, robust=par8)
} else {
m <- stl(x,s.window=par2, s.degree=par3, t.window=par4, t.degre=par5, l.degree=par7, robust=par8)
}
m$time.series
m$win
m$deg
m$jump
m$inner
m$outer
bitmap(file='test1.png')
plot(m,main=main)
dev.off()
mylagmax <- nx/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(as.numeric(m$time.series[,'trend']),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$time.series[,'seasonal']),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$time.series[,'remainder']),na.action=na.pass,lag.max = mylagmax,main='Remainder')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'trend']),'trend']),main='Trend')
spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'seasonal']),'seasonal']),main='Seasonal')
spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'remainder']),'remainder']),main='Remainder')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'trend']),'trend']),main='Trend')
cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'seasonal']),'seasonal']),main='Seasonal')
cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'remainder']),'remainder']),main='Remainder')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Seasonal Decomposition by Loess - Parameters',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Component',header=TRUE)
a<-table.element(a,'Window',header=TRUE)
a<-table.element(a,'Degree',header=TRUE)
a<-table.element(a,'Jump',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,m$win['s'])
a<-table.element(a,m$deg['s'])
a<-table.element(a,m$jump['s'])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,m$win['t'])
a<-table.element(a,m$deg['t'])
a<-table.element(a,m$jump['t'])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Low-pass',header=TRUE)
a<-table.element(a,m$win['l'])
a<-table.element(a,m$deg['l'])
a<-table.element(a,m$jump['l'])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observed',header=TRUE)
a<-table.element(a,'Fitted',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Remainder',header=TRUE)
a<-table.row.end(a)
for (i in 1:nx) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]+m$time.series[i,'remainder'])
a<-table.element(a,m$time.series[i,'seasonal'])
a<-table.element(a,m$time.series[i,'trend'])
a<-table.element(a,m$time.series[i,'remainder'])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code